Description
The paper aims to investigate Task Performance Fraud Risk Assessment (TPFRA) and
Knowledge Requirement (KR) of the forensic accountant and auditor on Fraud-Related Problem
Representation (FRPR) in the Nigerian public sector.
Accounting Research Journal
An empirical investigation of fraud risk assessment and knowledge requirement on
fraud related problem representation in Nigeria
Oluwatoyin Muse J ohnson Popoola Ayoib B Che-Ahmad Rose Shamsiah Samsudin
Article information:
To cite this document:
Oluwatoyin Muse J ohnson Popoola Ayoib B Che-Ahmad Rose Shamsiah Samsudin , (2015),"An
empirical investigation of fraud risk assessment and knowledge requirement on fraud related problem
representation in Nigeria", Accounting Research J ournal, Vol. 28 Iss 1 pp. 78 - 97
Permanent link to this document:
http://dx.doi.org/10.1108/ARJ -08-2014-0067
Downloaded on: 24 January 2016, At: 21:21 (PT)
References: this document contains references to 78 other documents.
To copy this document: [email protected]
The fulltext of this document has been downloaded 417 times since 2015*
Users who downloaded this article also downloaded:
Paul Andon, Clinton Free, Benjamin Scard, (2015),"Pathways to accountant fraud: Australian
evidence and analysis", Accounting Research J ournal, Vol. 28 Iss 1 pp. 10-44 http://
dx.doi.org/10.1108/ARJ -06-2014-0058
J ames A. DiGabriele, Wm. Dennis Huber, (2015),"Topics and methods in forensic accounting
research", Accounting Research J ournal, Vol. 28 Iss 1 pp. 98-114 http://dx.doi.org/10.1108/
ARJ -08-2014-0071
Timothy J . Louwers, (2015),"The past, present, and future (?) of crime-related forensic accounting
methodology", Accounting Research J ournal, Vol. 28 Iss 1 pp. 4-9 http://dx.doi.org/10.1108/
ARJ -04-2015-0047
Access to this document was granted through an Emerald subscription provided by emerald-
srm:115632 []
For Authors
If you would like to write for this, or any other Emerald publication, then please use our Emerald
for Authors service information about how to choose which publication to write for and submission
guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.
About Emerald www.emeraldinsight.com
Emerald is a global publisher linking research and practice to the benefit of society. The company
manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as
well as providing an extensive range of online products and additional customer resources and
services.
Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the
Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for
digital archive preservation.
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
*Related content and download information correct at time of
download.
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
An empirical investigation of
fraud risk assessment and
knowledge requirement on fraud
related problem representation
in Nigeria
Oluwatoyin Muse Johnson Popoola, Ayoib B. Che-Ahmad and
Rose Shamsiah Samsudin
College of Business, School of Accountancy, Universiti Utara Malaysia,
Sintok, Malaysia
Abstract
Purpose – The paper aims to investigate Task Performance Fraud Risk Assessment (TPFRA) and
Knowledge Requirement (KR) of the forensic accountant and auditor on Fraud-Related Problem
Representation (FRPR) in the Nigerian public sector.
Design/methodology/approach – The study used cross-sectional design and 400 survey
questionnaires. The respondents are real professional people (auditors and forensic accountants in the
Nigerian public sector) as true representatives to enhance the generalization of the outcomes. Atotal of
36 indicator items was measured on fve-point Likert scale from 1 (strongly disagree) to 5 (strongly
agree). Partial Least Square – Structural Equation Modelling 2.0 3Mand IBMSPSS Statistics 20.0 were
used as the primary statistical analysis tool for the study.
Findings – The results of the present study confrmthe positive relationship between KR on TPFRA,
positive relationship of KR on FRPR and positive relationship of FRPR and TPFRA. Specifcally, the
results revealed that FRPR positively mediates the relationship between TPFRA and KR (forensic
accountant and auditor) in the areas of fraud prevention, detection and response.
Research limitations/implications – The frst limitation deals with fraud and corrupt practices in
a developing country, Nigeria. Examining the mediating infuence of FRPR on KR and TPFRA in the
public sector could be considered as sensitive and raise the issue of bias. The second limitation is the
adoption of cross-sectional design in which data are collected at one point in time. Researchers are
encouraged to use a longitudinal design to explore interactions between KR, FRPR and TPFRA.
Practical implications – This empirical study has revealed the value of KR(forensic accountant and
auditor) as a signifcant capability requirement in the workplace. In addition, it shows the importance of
FRPR as an important mental state in decision-making or judgment and also the signifcance of FRPR
as an important mediating variable on KR and TPFRA.
Originality/value – No nation is immune to fraud, and loss due to fraud in the public sector is
enormous and costly; the result of this research will improve the KR of auditors and forensic
accountants in the areas of fraud detection, prevention and response. It will also contribute to the
regulatory, legal and institutional frameworks in accounting and auditing systems in Nigeria and
portend an increase in demand for forensic accountants.
Keywords Nigeria, Auditing, Forensic accounting, Fraud-related problem representation,
Knowledge requirement, Task performance fraud risk assessment
Paper type Research paper
JEL classifcation – M410, M420
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/1030-9616.htm
ARJ
28,1
78
Received8 August 2014
Revised14 February2015
Accepted21 April 2015
Accounting Research Journal
Vol. 28 No. 1, 2015
pp. 78-97
©Emerald Group Publishing Limited
1030-9616
DOI 10.1108/ARJ-08-2014-0067
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
1. Introduction
1.1 Background to the study
Nigeria, a developing nation, is blessed with an abundance of human resources,
agriculture, proper climate conditions and natural resources (solid minerals, oil,
hydroelectric energy and water). Despite the abundance of these resources, the rate of
economic development appears potentially slow; human resources development and
provision of services, infrastructure and facilities are not suffcient. This slow pace of
growth was linked to the high level of fraud, corruption, misappropriation and
conversion of government properties in the public sector.
Lamorde (2012) attributed consequences of fraud to include unemployment, epileptic
power supply, near total decay of infrastructure, bad roads, erratic water supply,
inadequate hospital facilities and other social vice.
The government introduced the Fiscal Responsibility Act (FRA, 2007) and the Public
Procurement Act (PPA, 2007) to curb the incidence of fraud and to promote public
accountability and good governance. Despite this, fraud continues to be on the increase
in the public sector.
Section 85 of the Constitution of the Federal Republic of Nigeria (CFRN, 1999 as
amended) provides for the Offce of the Auditor-General of the Federation (OAudGF).
The OAudGF acts as the government watchdog. It also reports to Public Accounts
Committee (PAC) of the National Assembly (Bammeke, 2008). As noted by Popoola
(2014), the delay by the PAC to meet and discuss the AudGF reports on the State
fnancial statements is frightening. For instance, state fnancial statements could remain
unattended to; sometimes, more than three-year backlog symbolizes a gross defciency
and encourages fraud and corrupt practices in the public sector (Popoola, 2014).
It is obvious fromthe background to this study that corrupt practices and fraud exist
in the Nigerian public service. The increase in fraud necessitates the need to carry out
this study to investigate the infuence of FRPR on TPFRA and KR among forensic
accountants and auditors in the Nigerian public sector.
To the best of the authors’ knowledge, there is no study that has examined the
infuence of FRPR on KR and TPFRA in the Nigerian public sector.
1.2 Problem statement
Specifcally, the public outcry on fraud depicts the failure of the conventional accounting
and auditing services to address and improve accountability and transparency
challenges in the public governance of Nigeria. Evidence of this is the alarming rate of
increase in corrupt and fraudulent practices while public services, infrastructure and
facilities are fast worsening (Olumide, 2012; Ugwu, 2012).
Similarly, the public sector adopts cash basis accounting policy and relies on
constitutional and regulatory frameworks. The frameworks include the CFRN, 1999 (as
amended), Audit Ordinance, Finance (control and management) Act, 1958, Financial
Regulations and Finance/Treasury circulars (ICAN, 2010; Bammeke, 2008). The private
sector embraces the accrual basis accounting policy and complies with institutional and
legal frameworks. The structures consist of accepted accounting practices (GAAP), the
Nigerian Standards on Auditing (NSAs) and the Statement of Accounting Standards
(SAS).
Specifcally, the fndings from any empirical studies conducted on the private sector
in Nigeria are bound to meet with gaps because of the differences that exist between
79
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
private sector and public sector accounting policies. These differences cause the need to
embark on this study.
1.3 Research questions
RQ1. Does knowledge requirement (forensic accountant and auditor) relate to task
performance fraud risk assessment?
RQ2. Does fraud-related problem representation mediates the relationship between
knowledge requirement and task performance fraud risk assessment?
1.4 Research objectives
To examine the relationship between Knowledge Requirement (KR) (forensic
accountant and auditor) and Task Performance Fraud Risk Assessment (TPFRA).
To examine the mediating infuence of Fraud-Related Problem Representation
(FRPR) on KR (forensic accountants and auditors) and TPFRA.
1.5 Scope of the study
This study considers only the offce of the Accountant General of the Federation and the
Auditor General for the Federation in Nigeria. Government enforcement and regulatory
agencies draw from the pool of forensic accountants, accountants and auditors in these
two offces for professional advice on fraud and fnancial crimes detection, prevention
and response.
2. Review of literature
2.1 Introduction
Consequent upon the global meltdown motivated by the collapse of Enron, World.Com
and Parmalat (Sarbanes – Oxley Act, 2002), the global environment stresses on the
procedures and controls designed by forensic accountants and auditors in the conduct of
their examination in detecting, preventing and responding to fraud. Similarly, the
methods embraced by statutory independent auditors and the internal auditors to plan
and complete task and to assess fraud risk in audit assignments revolve around the
sensitivity of the fnancial statement stakeholders and the auditing and accounting
standard setters. Also, the techniques used by the forensic accountants will depend on
the nature, scope, evidence gathering, skills requirement, limitation to using the report
and users of services and reports (Popoola, 2014).
2.2 Defnitions of forensic accounting and auditing
Popoola et al. (2013a) defned forensic accounting as the integration of specialized
accounting knowledge, enhanced skills and positive mental attitude to resolving legal
issues. Huber and DiGabrielle (2014) described forensic accounting as “the application of
investigative and analytical skills for the purpose of resolving fnancial matters in a
manner that meets the standards required by the court of law” (Hopwood et al., 2008).
Forensic accountants exist mainly for the same reasons why prosecutors and
commercial branch investigators exist. The reasons were linked to the manifestation of
criminals in the areas of fraud, white collar crime, corruption, money laundering,
computer fraud, conversion and theft.
Auditing is described as an unbiased examination and evaluation of the fnancial
statements of an organization to expedite expression of opinion on its truth and fairness
ARJ
28,1
80
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
(Adebisi, 2011). It can be done internally (by employees of the organization) or externally
(by an independent professional frm). The International Standards on Auditing No. 700
and ISA 200 provide:
The objective of the audit of fnancial statements is to enable the auditor to express an opinion
whether the fnancial statements are prepared in all material respects, in accordance with the
applicable fnancial reporting framework; and “the overall objectives of the Independent
Auditor and the conduct of an audit in accordance with International Standards on Auditing”
(IFAC, 2009a, 2009b).
Similarly, an audit of fnancial statements denotes an assurance engagement as
recognized in the International Framework for Assurance Engagements (IFAC, 2006b),
which is considered to improve the degree of confdence of the intended stakeholders
(IFAC ISA 200, section 1, para 3, p. 72).
2.3 Concept of fraud
Fraud is an intentional act designed principally to deceive or mislead another party
(Arens and Loebbecke, 1996), and, regardless of the form fraud is noticed, it is
problematic to auditors to detect, as the perpetrators take steps deliberately to conceal
the resulting wrongdoings (Knapp and Knapp, 2001). In addition, fraud harms the
character and the trustworthiness of the audit profession (Wuerges, 2011). Accounting
researchers, practitioners and standard setters alike uttered the concern for auditors’
apparent failure in detecting fraud during an audit (Jamal, 2008; Wells, 2005; AICPA,
2002). The Association of Certifed Fraud Examiner (ACFE) argues that fnancial
statement auditors are not fraud examiner and also states that external audits are not
the most effcient way to detect or limit fraud (ACFE, 2010). These viewpoints are also
shared by this study based on the KR, purpose and scope of the assignment.
Similarly, the Nigerian Standards on Auditing (NSA) No. 5, The Auditor’s
responsibility to consider fraud in an audit of fnancial statements (ICAN, 2005) and the
Statement on Auditing Standards (SAS) No. 99, Consideration of Fraud in a Financial
Statement Audit (AICPA, 2002 Sec. 316.50) provide auditors with better guidance on
howto improve their ability to detect fraud during a fnancial statement audit. SAS No.
99 includes the suggestion that an “auditor may respond to an identifed risk of material
misstatement due to fraud by assigning […] forensic or IT specialists”. This matter
raised public awareness of fraud and forensic accounting.
2.4 Task performance fraud risk assessment
TPFRA is designated as the focus area for this study because every ministry,
department and agency of government faces multiplicity of risks from external and
internal sources. In addition, fraud risk assessment helps auditors to determine the
nature and extent of audit procedures planned to increase the likelihood of uncovering
fraud (Wuerges, 2011; Bloomfeld, 1997). The auditing standards (AICPA, 2002, SAS No.
99, 1997, SAS No. 82) specify that:
[…] auditors are to document their assessment of fraud risk during the planning phase of the
audit and to update the initial evaluation as necessary throughout the course of the
engagement.
Also, the SAS No. 99 discusses relevant fraud risk factors that might signal the existence
of an intentional material misstatement, that is, fraud (AICPA, 2002). The risk factors
81
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
acknowledged include incentive or pressure, opportunity and attitude or rationalization.
In essence, fraud risk assessment has a direct relationship to the effectiveness of
auditors’ fraud detection in an audit.
Previous research in accounting has shown that much attention has been dedicated
to fraud and fraud risk-related issues (Allen et al., 2006; Cushing et al., 1995).
Unfortunately, these studies found that auditors are poor assessors of fraud risk and, as
a result, failed to detect fraud in fnancial statements (Knapp and Knapp, 2001; Joyce and
Biddle, 1981). For this reason, it requires those in authority to consider the impact of
changes in the external environment and within its activity model that may render
internal control less effective.
Similarly, the O’Malley Commission recommends to the auditors to integrate fraud or
forensic accounting procedures (substantive tests that were directed at the possibility of
fraud) on every audit to improve the likelihood of discovering fnancial statement fraud
(POB, 2000). Also, the Public Company Accounting Oversight Board Standing Advisory
Group (SAG) highlights a number of fraud-related issues that require accounting
researchers’ attention (PCAOB, 2008). One of the issues suggested for further research is
to determine whether forensic accountants (fraud specialists or fraud examiners) are
better than auditors in detecting fraud.
2.5 Fraud-related problem representation
Problem representation has been recognized as an internal cognitive framework that
embodies an individual’s understanding and interpretation of a problem situation
(Bedard and Chi, 1993; Christ, 1993; Chi et al., 1981). Prior research shows that
individuals develop problem representations when they are faced with a
decision-making assignment (Pitz and Sachs, 1984; Gagné and White, 1978). This
internal structure is constructed by mapping available problem information into
individuals’ existing knowledge relevant to the type of decision task they encounter
(Chui, 2010; Koonce, 1993). The mapping process facilitates the construction of mental
slots used to help individuals store information about their decision task (Pichert and
Anderson, 1977). The way forensic accountants and auditor assert understanding and
interpretation of a fraud-related problem situation depend on their KR and fraud risk
assessment.
2.6 Forensic accountants and auditors KR
Previous research has shown that both forensic accountants and auditors acquire
similar fundamental knowledge (Davis et al., 2010).
However, the ICAN in Nigeria (Popoola, 2014, p. 44) and other similar professional
bodies in UK, USA and Canada (Huber, 2011) award forensic certifcation such as CFA,
CFE and CFF to members after successfully completing forensic education program. In
Nigeria, one must be an ACAor FCAto be eligible for CFAeducation training program.
Forensic accountant applies specialized knowledge of fraud detection, prevention,
deterrence and remediation structures to the fundamental knowledge in gathering
information, investigation, analyzing, reporting and communicating fnancial
information to improve future task performance judgment or to resolve legal matters
(Popoola, 2014).
Without proper and adequate forensic education, expecting fnancial statement
auditors to detect fraud is similar to pouring new wine into old bottles (Wuerges, 2011).
ARJ
28,1
82
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Accounting standard setters responded to the public outcry and issued Nigerian
Standards on Auditing (NSA) No. 5 and SAS No 99 (ICAN, 2005; AICPA, 2002). These
standards contain recommendation that the “auditor may respond to an identifed risk
of material misstatement due to fraud by assigning the forensic or IT specialists”
(Popoola et al., 2013b; Chui, 2010; AICPA, 2002).
Davia (2000) found that fraud detection is distinct fromthe fnancial statement audit,
and it requires a diverse knowledge area, which can only be carried out through forensic
accounting techniques. Prior studies have shown the necessary forensic accounting
knowledge to include professional responsibilities and practice management, laws
experts and testimonies (Davis et al., 2010; Durkin and Ueltzen, 2009). The AICPA core
wheel specialized knowledge of fraud prevention, detection and response is the focus of
this study (Davis et al., 2010; AICPA, 2008).
Specifcally, forensic accountants will continue to be in high demand (Wells, 2005) as
long as criminals exist in the areas of fraud, corruption, asset misappropriation and
conversion. This study aligns with Wells (2005) position that as long as untrained
graduates are employed to detect fraud committed by technologically advanced
criminals, the necessity for forensic accountants with fraud knowledge will continue to
be on the increase.
3. Hypothesis development based on literature review
3.1 Knowledge requirement and task performance fraud risk assessment
Prior literature argued that the KR of the auditor is limited in terms of the nature and
scope of the audit assignment. The International Education Standard (IES) No. 8,
competence requirements of professional accountants sections 36-41 classifed the
knowledge content of the auditor into three distinct levels (IFAC, 2006a). These are
historical fnancial information audit at a higher standard, fnancial accounting and
reporting at a higher standard and information technology (IFAC, 2006a, 2006b). Indeed,
Statement of Auditing Practice No. 30 recognizes that auditors should be conscious of
the prospect of fraud presence during an audit; this was not absolutely defnite and left
auditors with no commitment to detect fraud (Wuerges, 2011; Albrecht and Willingham,
1993).
Literature acknowledged the fact that individuals who are educated in the use of
information technology, legal, investigative, criminology, psychology and accounting
will exude brilliance than others in the areas of accounting records, gathering and
evaluating fnancial statement evidence, interviewing all parties related to an alleged
fraud situation and serving as an expert witness in a fraud case (Wuerges, 2011;
Hopwood et al., 2008; Singleton et al., 2006).
This study also agrees with Daniel and Lee (2006) that other accountants may look at
the charts, but forensic accountants dig deep into the body. For this reason, the following
hypothesis is proposed:
H1. There is a positive direct relationship between Knowledge Requirement
(forensic accountant and auditor) and Task Performance Fraud Risk
Assessment.
3.2 Knowledge requirement and fraud-related problem representation
The second theoretical relationship in this research framework epitomizes the impact of
KR on the (FRPR. KR has indirect infuences on decision-making task performance
83
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
through the development of an emotional structure that is mostly referred to as FRPR
(Kleinman and Palmon, 2007; Gupta and Govindarajan, 2002).
Prior studies have made available empirical evidence to argue the assertion that KR
infuences the development of individuals’ FRPR, which, in turn, inspire their task
performances (Chui, 2010; Torelli and Kaikati, 2009). This study asserts that there is a
signifcant relationship between KR and FRPR. The hypothesis is formulated thus:
H2. There is a positive direct relationship between Knowledge Requirement
(forensic accountant and auditor) and Fraud-Related Problem Representation.
3.3 Fraud-related problem representation and task performance fraud risk assessment
Prior study has shown that the FRPR has a consequential impact on individual’s
judgment and decision-making (Kadous and Sedor, 2004). Also, Bierstaker et al. (1999)
study that investigate auditors’ problem representation and their performance on
analytical procedure job using a think-aloud verbal protocol to elicit auditors’ problem
representation about their clients’ allocation of overhead costs lend weight to Kadous
and Sedor (2004) study.
Based on the above discussion, this study asserts that there is a signifcant
relationship between FRPR and TPFRA. The formulated hypothesis is:
H3. There is a positive direct relationship between Fraud-Related Problem
Representation and Task Performance Fraud Risk Assessment.
3.4 Mediating hypothesis
As stated in H1, H2 and H3, there is positive signifcant direct relationship between KR
and TPFRA, a positive signifcant direct link between KR and FRPR, and a positive
signifcant direct relationship between FRPR and TPFRA. For this reason, this study
affrms that FRPR mediates the relationship between KR and TPFRA. It is
hypothesized:
H4. Fraud-Related Problem Representation positively mediates the relationship
between Knowledge Requirement and Task Performance Fraud Risk
Assessment.
3.5 Conceptual framework
Figure 1 summarizes earlier literature and illustrates the conceptual framework of
TPFRA on KR and FRPR in the Nigerian public sector.
Figure 1.
Theoretical
framework: mediating
effect of fraud related
problem
representation on
knowledge
requirement and task
performance fraud
risk assessment model
ARJ
28,1
84
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
4. Methodology
4.1 Introduction
This study embraced the positivist ontology, empirical epistemology and quantitative
methodology. Remenyi et al. (1998) asserted that a methodological framework could be
derived from a review of the relevant literature, which provides the researcher with a
clear expectation of howa particular phenomenon is likely to behave, and fromwhich a
researcher formalizes a model.
4.2 Research design
The study used cross-sectional design as data were collected at a single point in time.
The meaning of research design is to give weight to the evidence acquired to enable the
researcher to answer the research questions as unequivocally as possible (De Vaus,
2011).
4.3 Population, survey questionnaire, pilot study and measures of variables
The study respondents are forensic accountants and auditors in the accounting and
auditing institutions of the Nigerian public sector. Prior to the conduct of a pilot study,
the survey questionnaire was subjected to expert review (content validity). Their
comments and suggestions were also recognized. Pilot study was carried out on 60
respondents, out of which 12 suffered rejection as unusable.
In total, 400 survey questionnaires were distributed in a random sample of forensic
accountants and auditors in the offce of the Accountant General of the Federation and
Auditor General for the Federation.
The research respondents were asked the extent of their agreement with the seven
items of KR (Davis et al., 2010; Ramaswamy, 2007, 2005), 16 items of FRPR (Basadur
et al., 2013; Basadur and Basadur, 2011) and four items of TPFRA (Dzomira, 2014;
Owens, 2012). The agreement ratings was made on a fve-point Likert scale for KR and
TPFRA ranging from 1 (Strongly disagree) to 5 (Strongly agree). Also, the FRPR
consisted of 16 items on a fve-point Likert scale ranging from 1 (Not at all) to 5 (Very
often).
4.4 Data analysis
Descriptive statistics (ranges, means and standard deviations) was computed with the
use of IBM SPSS (Version 20.0) (Coakes, 2013; Pallant, 2010). In addition, Partial Least
Square – Structural Equation Modelling (PLS-SEM), a statistical analysis tool was used
for the refective measurement model and structural model (Hair et al., 2014).
5. Results
5.1 Response rate and descriptive statistical analysis
A total of 267 (66.75 per cent) individuals completed the survey. In total, 234 (58.5 per
cent) respondents were found to be usable to further analysis and 33 (8.25 per cent) were
rejected for ticking multiple times and non-completion of the survey questionnaire. Of
the 234 that were usable, 129 (55 per cent) were forensic accountants and 105 (45 per
cent) were auditors.
Descriptive statistics for the KR, FRPR and TPFRA, is shown in Table 1.
KR construct recorded the highest scores (M ? 4.75, SD ? 0.42), whilst the lowest
score obtained by the FRPR construct (M?4.34, SD ?0.64).
85
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
5.2 Evaluation of results
This study uses PLS – SEM analysis in the assessment of the measurement model
(refective) and the structural model. Refective measurement model comprises internal
consistency (composite reliability), indicator reliability, convergent validity (average
variance extracted) and discriminant validity (Hair et al., 2014). Also, structural model
evaluation consists of coeffcient of determination (R
2
), predictive relevance (Q
2
), size
and signifcance of path coeffcients, and f
2
effect sizes (Hair et al., 2014; Barclay et al.,
1995).
Chin (2010) found out that the old-fashioned parametric-based techniques for
signifcance testing were not appropriate in PLS – SEMbecause of its non-distributional
normality assumption of the observations in estimating parameters. In this study,
Table II has shown that all outer loadings of the constructs KR, FRPR and TPFRA are
well above the minimum acceptable level for outer loadings 0.5 (0.708
2
).
Also, in the evaluation of the measurement model, Table III summarizes the model
quality criteria – convergent validity and reliability analysis. Similarly, the composite
reliability (CR) values of 0.95 (KR), 0.93 (FRPR) and 0.95 (TPFRA) illustrate that all the
three constructs have high levels of internal consistency reliability.
In this study, the AVE values of KR (0.82), FRPR (0.68) and TPFRA (0.82) are well
above the minimum level of 0.50. Hence, the measures of the three refective constructs
have a high degree of convergent validity (Hair et al., 2014).
According to Hair et al. (2011), any cross-loadings that exceed the indicators’ outer
loadings portends a discriminant validity problem. The outer loadings of FRPR13
Table I.
Range, mean and
standard deviations
of respondents
(N ?234)
Construct N Minimum Maximum Mean SD
KR 234 3.500 5.000 4.754 0.423
FRPR 234 3.500 5.000 4.345 0.640
TPFRA 234 3.000 5.000 4.436 0.578
Table II.
Key factor loadings
and cross loadings
Latent variable Indicators FRPR KR TPFRA
Fraud-related problem representation FRPRR13 0.8544 0.4806 0.8091
FRPRR14 0.8867 0.6972 0.7642
FRPRR4 0.7173 0.6216 0.6042
FRPRR5 0.8787 0.6035 0.7224
FRPRR6 0.8016 0.45 0.707
FRPRR9 0.7866 0.3117 0.7044
Knowledge requirement KR1 0.5784 0.9396 0.4391
KR2 0.5476 0.9184 0.4348
KR3 0.6365 0.9231 0.4993
KR4 0.5779 0.8438 0.5364
Task performance fraud risk assessment TPFRAR1 0.8088 0.4434 0.9056
TPFRAR2 0.7615 0.3984 0.920
TPFRAR3 0.8556 0.6568 0.909
TPFRAR4 0.7976 0.4029 0.8778
Note: The factor loadings of bold values are greater than the cross-loadings values of the other constructs
ARJ
28,1
86
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
(0.854), KR1 (0.940) and TPFRA1 (0.906) showgreater loadings than all of their loadings
on other constructs, that is, the cross-loadings (Tables II and III).
The square root of the AVEvalues and the latent variable correlations was compared
in adherence to the Fornell and Lacker (1981) criterion (Hair et al., 2010). The logic
behind the conservative approach indicates that a construct shares more variance with
its associated indicators than with any other construct (Figure 2 and Table IV).
Figure 2.
Results of the PLS –
SEM algorithm direct
effects: KR on
TPFRA, KR on
FRPR and FRPR on
TPFRA
Table IV.
Correlations and
discriminant validity
Construct FRPR KR TPFRA
Fraud-related problem representation 0.825
Knowledge requirement 0.648 0.906
Task performance fraud risk assessment 0.794 0.530 0.906
Note: Diagonals that are displayed in bold represent the squared average variance extracted (AVE),
while the values not in bold, represent the correlations
Table III.
Model quality
criteria: convergent
validity and
reliability analysis
Latent variable Indicators Loadings
Indicator
reliability
Composite
reliability AVE
Discriminant
validity?
Fraud-related problem
representation
FRPRR13 0.854 0.729 0.93 0.68 Yes
FRPRR14 0.887 0.787
FRPRR4 0.717 0.514
FRPRR5 0.879 0.773
FRPRR6 0.802 0.643
FRPRR9 0.787 0.619
Knowledge requirement KR1 0.940 0.884 0.95 0.82 Yes
KR2 0.918 0.843
KR3 0.923 0.852
KR4 0.844 0.712
Task performance fraud
risk assessment
TPFRAR1 0.906 0.821 0.95 0.82 Yes
TPFRAR2 0.920 0.846
TPFRAR3 0.909 0.826
TPFRAR4 0.878 0.771
87
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Hair et al. (2014) found that PLS – SEM fts the model to the sample data to obtain the
best parameter estimates by maximizing the explained variance of the endogenous
latent variable(s). There are two hypotheses that were formulated to answer the research
questions highlighted in Section 1.3. Figure 3 represents the essential criteria for
assessment of the structural model.
5.3 Evaluating R
2
of the model
The R
2
denotes the amount of explained variance of the TPFR assessment construct of
the structural model. Prior research has shown that a well-developed path model should
deliver suffciently high R
2
values to describe KR construct. This study recorded R
2
values of 0.42 (medium) and 0.80 (substantial) for FRPR and TPFRA, respectively, thus
establishing substantial amount of explained variance according to Chin (2010) and
Albers (2010) baseline criteria of 0.25 (weak), 0.50 (medium), and 0.75 (substantial).
5.4 Evaluating effect size f
2
values in the structural model
The f
2
effect size captures the contribution of KR construct to the R
2
value of TPFRA
construct of the structural model. The guidelines for evaluating f
2
are that values of 0.02,
0.15 and 0.35, respectively, represent small, medium and large effects (Cohen, 1988) of
the endogenous latent variable. Table V describes the evaluation of f
2
effect size on the
structural model of this study.
The TPFRA recorded f
2
effect size of KR (0.20), which belongs to a medium effect
size. This size confrms the evaluation criteria to have been met. It also demonstrated the
contribution of the KR construct to the target construct of FRPR.
Figure 3.
Results of the
bootstrapping
structural model
Table V.
Assessing f
2
effect
sizes of the structural
model
FRPR
Endogenous construct R
2
incl R
2
excl R
2
incl-R
2
excl 1-R
2
incl Effect size
KR 0.420 0.306 0.114 0.580 0.197
ARJ
28,1
88
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
5.5 Evaluating the predictive relevance Q
2
of the structural model
The study examines the Q
2
predictive relevance value based on Geisser (1974) and Stone
(1974). Literature has shown that when the SEM– PLS exhibits predictive signifcance,
it accurately predicts the data points of indicators in refective measurement model of
endogenous constructs (Hair et al., 2014). Similarly, the Q
2
values larger than zero show
the path model’s predictive relevance for TPFRA. For this study, the Q
2
value is
obtained by using the blindfolding procedure for a set distance Dof 7, (Hair et al., 2014),
and as represented in Table VI.
The TPFRAconstruct evaluation specifes Q
2
effect size of KR (0.04) as belonging to
a small effect size by a confrmation that the assessment criteria to have been considered
in line with Cohen’s (1988) criteria.
5.6 Direct hypothesis
Table VII and Figure 3 indicate direct relationships between KR, FRPR and TPRA and
signify three circumstances. First, the result shows that KR maintained signifcant
association with: TPFRA (beta ?0.085; t ?2.238; p ?0.000) and FRPR (beta ?0.648;
t ? 17.435; p ? 0.000). Also, a very strong relationship between FRPR and TPFRA
exists (beta ? 0.949; t ? 31.409; p ? 0.000). The results highlight that among the two
criterions of KR, FRPR recorded the highest signifcant path coeffcient (beta ?0.648).
This explains KRcontribution as the most signifcant predictor of FRPRand TPFRAof
forensic accountants and auditors in the Nigerian public sector. Consequently, H1, H2
and H3 are well supported and accepted by this study.
5.7 Mediation hypothesis
Table VIII demonstrates the indirect relationship of FRPR on KR and TPFRA through
the path coeffcient, the standard error, the t values, the p-values of the PLS – SEM
structural model and the decision adopted.
The study used multiple regression analyses to assess each component of the
mediation model. First, it was found that KR was positively associated with TPFRA
(beta ? 0.85, t(232) ? 22.030, p ? 0.000). Second, it was also established that KR was
positively related to FRPR (beta ?0.75, t(232) ?16.811, p ?0.000). Third and last, the
mediator, FRPR was positively related to TPFRA (beta ? 0.68, t(232) ? 13.032,
Table VI.
Assessing the
predictive relevance
of Q
2
values in the
structural model
TPFRA
Endogenous construct Q
2
incl Q
2
excl Q
2
incl-Q
2
excl 1-Q
2
incl Effect size
KR 0.654 0.639 0.015 0.346 0.043
Table VII.
Direct relationship
effects of KR and
FRPR on TPFRA
No. Hypothesis Path coeffcient Standard error t-value Decision
1 FRPR -?TPFRA 0.949** 0.030 31.409 Support
2 KR -?FRPR 0.648** 0.037 17.435 Support
3 KR -?TPFRA 0.085* 0.038 2.238 Support
Notes: **Shows the itemis signifcant at the p ?0.01 (1%level); *indicates the itemis signifcant at
p ?0.05 (5% level)
89
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Table VIII.
PLS – SEM
mediation and
Bootstrap of the
indirect hypothesized
path
N
o
.
H
y
p
o
t
h
e
s
i
s
P
a
t
h
c
o
e
f
f
c
i
e
n
t
s
a
b
c
c
=
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
S
u
p
p
o
r
t
e
d
4
K
R
–
?
F
R
P
R
–
?
T
P
F
R
A
0
.
7
5
1
6
.
8
1
0
.
6
8
1
3
.
0
3
0
.
8
5
2
2
.
0
3
0
.
5
2
9
.
7
8
Y
e
s
*
*
N
o
t
e
s
:
*
*
p
?
0
.
0
1
;
N
?
2
3
4
;
t
w
o
-
t
a
i
l
e
d
;
K
R
?
K
n
o
w
l
e
d
g
e
;
F
R
P
R
?
F
r
a
u
d
-
R
e
l
a
t
e
d
P
r
o
b
l
e
m
R
e
p
r
e
s
e
n
t
a
t
i
o
n
;
T
P
F
R
A
?
T
a
s
k
P
e
r
f
o
r
m
a
n
c
e
F
r
a
u
d
R
i
s
k
A
s
s
e
s
s
m
e
n
t
ARJ
28,1
90
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
p ? 0.000). Results confrmed the mediating role of FRPR on the relationship between
KR and TPFRA (beta ? 0.51, CI ? 0.42 to 0.61). Also, the results indicated the direct
effect of KR on TPFRA to be signifcant (beta ? 0.52, t(232) ? 9.784, p ? 0.000) when
controlling for FRPR. It suggests partial mediation. Thus, H4 and as demonstrated in
Table 8, and Figure 4 of this study is supported.
6. Discussions
6.1 Introduction
In this study, TPFRAdescribes the ability of the forensic accountant and the auditor to
assess the risk of fraud to a defned level in the real working environment. This study
found that in relation to accounting and auditing profession, KR and FRPR have
signifcant relationships with TPFRA.
KRrefers to the attribute and profciency competences of the forensic accountant and
the auditor necessary to discharge technical and innovative task with respect to fraud
prevention, detection and response (Popoola et al., 2013a). The current fndings provide
support for H1 and also agree with the previous research of Davis et al. (2010) that found
a positive relationship. The result in knowledge development would correspondingly
upturn their profciency competences; create awareness and understanding of the fraud
schemes.
FRPRis described in this study as an internal cognitive framework that embodies an
individual’s understanding and interpretation of a problemsituation (Greeno, 1977; Chi
et al., 1981), especially in fraud prevention, detection and response (Popoola et al., 2013b;
Chui, 2010). The fnding provides support for H2 and agrees with the previous research
(Chui, 2010) that found a positive relationship.
TPFRAis the substratumof the audit assignment. The fnding provides support for
H3 and agrees with the previous study of Chui (2010) that found a positive relationship
between FRPR and TPFRA.
Importantly, the result of the mediating effect represents the signifcant contribution
of this study. The fndings provide support for H4.
6.2 Contributions/implications of the study
6.2.1 Theoretical contributions. Theoretical contributions of this study included:
• This study expanded the TPFRAliterature within the organizational context in a
developing country, Nigeria.
• It also established the mediating infuence of FRPR on the relationship between
KR (forensic accountant and auditor) and TPFRA.
Figure 4.
Mediating infuence
of FRPR on KR and
TPFRA
91
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
• The study confrmed the positive infuence of FRPR on TPFRA.
• This study proved the positive infuence of KR (forensic accountant and auditor)
on FRPR.
It established the signifcant positive direct relationship of KR on TPFRA.
6.2.2 Methodological contributions. Methodological contributions of this study
included:
• The study adopted quantitative research with cross-sectional design that is
unique in having more successes than other designs towards achieving
representativeness to generalize the results obtained in a sample of the wider
population the sample represents.
• The use of respondents who are real professional people (forensic accountant and
auditor) instead of student surrogates.
• The use of PLS – SEM Algorithm and Bootstrapping statistical analysis
techniques provide prospect for testing the robustness and predictive power of the
tool in exploratory relationships of the constructs and also because of the ever
increasing importance of understanding latent phenomena such as attitudes,
attributes, consumer perceptions or intentions as well as their impact on
organizational performance measures (Hair et al., 2014; Kline, 2005; Hershberger,
2003).
6.2.3 Managerial/practical. Managerial/practical of this study included:
• This study revealed the value of knowledge (forensic accountant and auditor) as
a signifcant capability requirement in the workplace.
• It showed the importance of FRPR as a mental representation in understanding
and interpretation of a task performance in the workplace.
• The study revealed the signifcance of TPFRA as a primary competence
requirement in the areas of fraud detection, prevention/deterrent and response.
• It also explained the importance of FRPR as a signifcant mediating variable on
KR (forensic accountant and auditor) and TPFRA.
• The study has the potential to contribute to the regulatory, institutional and legal
framework in the accounting and auditing systems in Nigeria.
6.3 Limitations and future research
The frst limitation of this research deals with fraud and corrupt practices in a
developing country, Nigeria. Examining the mediating infuence of FRPR on KR and
TPFRA in the public sector could be considered as sensitive and raise the issue of bias.
The second limitation is the adoption of cross-sectional design in which data are
collected at one point in time.
Future research could include professional ethics. Ethics is signifcant for the
profession to make available excellent services in the areas of fraud prevention,
detection and response. Ethics (forensic accountant and auditor) can serve as a mediator
in a model involving KR and TPFRA.
ARJ
28,1
92
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
7. Conclusion
This study presented a detailed analysis of the mediating impact of FRPR on TPFRA
and KR requirement (forensic accountant and auditor) in the Nigerian public sector.
Although, TPFRAhas been widely researched, most of the attempts are fragmented and
in piecemeal (Davis et al., 2010; Wuerges, 2011; Chui, 2010). It also examined the
relationship between KR and TPFRA, the relationship between KR and FRPR and the
relationship between the FRPR and TPFRA beyond the ordinary scope of Western
countries. The fndings confrmed that FRPR did infuence TPFRA. The current study
listened to the clarion calls to examine auditor’s inability to detect and prevent fraud
(Chui, 2010; Davis et al., 2010; Boritz et al., 2008; Knapp and Knapp, 2001) and the
PCAOB (2004) recommendation for future research as to whether forensic accountants
are capable and competent than auditors in detecting fraud.
This study provided, perhaps for the frst time, analysis of the relationship between
KR and TPFRA by integrating the mediating infuence of FRPR. It also created
consciousness of fraud schemes among the auditors and accountants in the Nigerian
public sector. This can be achieved through training and acquisition of forensic
accounting knowledge amongst others.
Lastly, and in agreement with Houck et al.’s (2006) study, fraud and forensic
accounting affect the accounting profession every day, and it is the responsibility of the
State to design appropriate procedures and controls that will usher in a systematic
reduction in fraud.
References
ACFE (2010), Report to the Nations on Occupational Fraud and Abuse, Association of Certifed
Fraud Examiners (ACFE), Austin, TX.
Adebisi, F.A. (2011), “Audit, investigation and forensics: similarities and differences”, Institute of
Chartered Accountants of Nigeria: Forensic, Audit & Investigation Faculty, February.
AICPA (1997), Statement on Auditing Standards (SAS) No. 82: Consideration of Fraud in a
Financial Statement Audit, American Institute of Certifed Public Accountants, Durham.
AICPA (2002), American Institute of Certifed Public Accountants, Statement on Auditing
Standards (SAS), Consideration of Fraud in a Financial Statement Audit, AICPA,
Professional Standards, New York, NY, Vol. 1 No. 99, AU Sec. 316.50.
AICPA(2008), “Forensic and valuation services: overviewof certifed in fnancial forensics (CFF)
credential (American Institute of certifed public accountants, Durham”, available at: http://
fvs.aicpa.org/Memberships/Overview?of?Certifed?in?Financial?Forensics?
Credential.Htm (accessed September 2009).
Albers, S. (2010), “PLS and success factor studies in marketing”, in Esposito, V.V., Chin, W.W.,
Henseler, J. and Wang, H. (Eds), Handbook of Partial Least Squares: Concepts, Methods and
Applications (Springer Handbooks of Computational Statistics Series, Vol. II) , Springer,
Heidelberg, Dordrecht, London, NY, pp. 409-425.
Albrecht, W.S. and Willingham, J.J. (1993), “The auditor’s responsibility to detect and report errors
and irregularities,” in The Expectation Gap Standards – Progress, Implementation Issues,
Research Issues, American Institute of Certifed Public Accountants, New York, NY.
Allen, R.D., Hermanson, D.R., Kozloski, T.M. and Ramsay, R.J. (2006), “Auditor risk assessment:
insight from the academic literature”, Accounting Horizons, Vol. 20 No. 2, pp. 157-177.
Arens, A. and Loebbecke, J. (1996), Auditing: An Integrated Approach, 6th ed., Prentice Hall,
Englewood Cliffs, NJ.
93
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Bammeke, S.A. (2008), Public Sector Accounting and Finance for Decision Making, Sab &
Associates, Lagos.
Barclay, D., Higgins, C. and Thompson, R. (1995), “The partial least squares (PLS) approach to
causal modelling”, Technology Studies, Vol. 2 No. 2, pp. 285-323.
Basadur, M. and Basadur, T. (2011), “Where are the generators?”, Psychology of Aesthetics,
Creativity, and the Arts, Vol. 5 No. 1, p. 29.
Basadur, M., Basadur, T. and Licina, G. (2013), “Simplexity thinking, encyclopedia of creativity,
invention”, Innovation and Entrepreneurship, Springer, New York, NY, pp. 1617-1634,
doi: 10.1007/978-1-4614-3858-8_427
Bedard, J. and Chi, M.T.H. (1993), “Expertise in auditing”, Auditing: A Journal of Practice and
Theory, Vol. 12 No. 2, pp. 21-45.
Bierstaker, J.L., Bedard, J.C. and Biggs, S.F. (1999), “The role of problem representation shifts in
auditor decision processes in analytical procedures”, Auditing: A Journal of Practice and
Theory, Vol. 18 No. 1, pp. 18-36.
Bloomfeld, R.J. (1997), “Strategic dependence and the assessment of fraud risk: a laboratory
study”,The Accounting Review, Vol. 72 No. 4, pp. 517-538.
Boritz, J.E., Kotchetova, N. and Robinson, L.A. (2008), “Planning fraud detection procedures: fraud
specialists vs auditors”, Working Paper, University of Waterloo.
Chi, M.T.H., Feltovich, P.J. and Glaser, R. (1981), “Categorization and representation of physics
problems by experts and novices”, Cognitive Science, Vol. 5 No. 2, pp. 121-152.
Chin, W.W. (2010), “How to write up and report PLS analyses”, in Esposito, V.V.,
Chin, W.W. Henseler, J. and Wang, H. (Eds), Handbook of Partial Least Squares,
Springer-Verlag, New York, NY, pp. 655-688.
Christ, M.Y. (1993), “Evidence on the nature of audit planning problem representations: an
examination of auditor free recalls”, The Accounting Review, Vol. 66 No. 2, pp. 304-322.
Chui, L. (2010), An Experimental Examination of the Effects of Fraud Specialist and Audit
Mindsets on Fraud Risk Assessments and the Development of Fraud-Related Problem
Representation, ProQuest LLC, Parkway.
Coakes, S.J. (2013), SPSS: Analysis Without Anguish: Version 20.0 for Windows, John Wiley &
Sons, Milton.
Cohen, J. (1988), Statistical Power Analysis for the Behavioural Sciences, 2nd ed., Lawrence
Erlbaum Associates, Hillsdale, NJ.
Cushing, B.E., Graham, L.E., Palmrose, Z.V., Roussey, R.S. and Solomon, I. (1995), “Risk
orientation”, in Bell, T.B. and Wright, A.M. (Eds), Auditing Practice, Research, and
Education: AProductive Collaboration, American Institute of Certifed Public Accountants,
New York, NY, pp. 11-54.
Daniel, A. and Lee, B. (2006), “Forensic accountants appearing in the literature”, available at:
www.bus.lsu.edu/accounting/faculty/lcrumbley/forensic.html (accessed 10 March 2012).
Davia, H.R. (2000), Fraud 101: Techniques and Strategies for Detection, John Wily and Sons, New
York, NY.
Davis, C., Farrell, N. and Ogilby, S. (2010), Characteristics and Skills of the Forensic Accountant,
American Institute of Certifed Public Accountants FVS Section, New York, NY.
De Vaus, D.A. (2011), Research Design in Social Research, Sage Publications, London.
Durkin, R. and Ueltzen, M. (2009), “The evolution of the CFF credential”, The Practicing CPA,
Vol. 33 No. 6.
ARJ
28,1
94
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Dzomira, S. (2014), “Internal controls and fraud schemes in not-for-proft organisations: a guide to
good practice”, Research Journal of Finance and Accounting, Vol. 5 No. 2, pp. 118-126.
Fornell, C. and Larcker, D.F. (1981), “Evaluating structural equation models with unobservable
and measurement error”, Journal of Marketing Research, Vol. 18 No. 3, pp. 39-50.
Gagné, R.M. and White, R.T. (1978), “Memory structures and learning outcomes”, Review of
Educational Research, Vol. 48 No. 2, pp. 187-222.
Geisser, S. (1974), “A predictive approach to the random effects model”, Biometrika, Vol. 61 No. 1,
pp. 101-107.
Greeno, J.G. (1977), “Process of understanding in problemsolving”, in Castellan, N.J., Pisoni, D.B. and
Potts, G.R. (Eds), Cognitive Theory, Vol. 2, Lawrence ErlbaumAssociates Publishers, Hillsdale,
NJ, pp. 43-82.
Gupta, A.K. and Govindarajan, V. (2002), “Cultivating a global mindset”, Academy of
Management Executive, Vol. 16 No. 1, pp. 116-126.
Hair, J.F., Jr, Black, W.C., Babin, B.J., Andersen, R.E. and Tatham, R.L. (2010), Multivariate Data
Analysis, 7th ed., Pearson Prentice Hal, Upper Saddle River, NJ.
Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2014), A Primer on Partial Least Squares
Structural Equation Modeling (PLS-SEM), Sage, Thousand Oaks, CA.
Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011), “PLS-SEM: indeed a silver bullet”, Journal of
Marketing Theory and Practice, Vol. 19 No. 2, pp. 139-151.
Hershberger, S.L. (2003), “The growth of structural equation modeling”, Structural Equation
Modeling, Vol. 10 No. 1, pp. 35-46.
Hopwood, W.S., Leiner, J. and Young, G.R. (2008), Forensic Accounting, McGraw-Hill/Irwin, New
York, NY.
Houck, M.M., Kranacher, M., Morris, B., Robertson, J. and Wells, J.T. (2006), “Forensic accounting
as an investigative tool”, The CPA Journal, Vol. 76 No. 8, pp. 68-70.
Huber, W.D. (2011), “Forensic accountants, codes of ethics and forensic accounting corporations”,
paper presented to the Southeast Section of the American Accounting Corporation, Destin, FL,
26 March.
Huber, W.D. and DiGabrielle, J.A. (2014), “Research in forensic accounting – What matters?”,
Journal of Theoretical Accounting Research, Vol. 10 No. 1, pp. 40-70.
ICAN (2005), Nigerian Standards on Auditing (NSA) No. 5: The Auditor’s Responsibility to
Consider Fraud in an Audit of Financial Statements, Institute of Chartered Accountants of
Nigeria (ICAN). Lagos.
ICAN (2010), The Institute of Chartered Accountants of Nigeria Public Sector Accounting Study
Pack, VI Publishers, Lagos.
IFAC (2006a), International Accounting Education Standard Board (IES 8, 2006), Competence
Requirements for Audit Professionals. International Federation of Accountants, IFAC, New York,
NY.
IFAC (2006b), International Framework for Assurance Engagements, IFAC, New York, NY.
IFAC (2009a), International Standard on Auditing (ISA) No. 700: Forming an Opinion and
Reporting on Financial Statements, IFAC, New York, NY.
IFAC (2009b), International Standard on Auditing (ISA) No. 200: Overall Objectives of the
Independent Auditor and the Conduct of an Audit in Accordance with International
Standards on Auditing, IFAC, New York, NY.
Jamal, K. (2008), “Mandatory audit of fnancial reporting: a failed strategy for dealing with fraud”,
Accounting Perspectives, Vol. 7 No. 2, pp. 97-110.
95
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Joyce, E. and Biddle, G. (1981), “Anchoring and adjustment in probabilistic inference in auditing”,
Journal of Accounting Research, Vol. 19 No. 1, pp. 120-145.
Kadous, K. and Sedor, L. (2004), “The effcacy of third-party consultation in preventing
managerial escalation of commitment: the role of mental representations”, Contemporary
Accounting Research, Vol. 21 No. 1, pp. 55-82.
Kleinman, G. and Palmon, D. (2007), “Ability, cognitive fallibility, procedural instrumentality and
audit group judgment: an exploration”, Working Paper, Touro College.
Kline, R.B. (2005), Principles and Practice of Structural Equation Modelling, 2nd ed., The Guilford
Press, New York, NY.
Knapp, C.A. and Knapp, M.C. (2001), “The effects of experience and explicit fraud risk assessment
in detecting fraud with analytical procedures”, Accounting, Organizations and Society,
Vol. 26 No. 1, pp. 25-37.
Koonce, L. (1993), “Acognitive characterization of audit analytical review”, Auditing: AJournal of
Practice and Theory, Vol. 12 No. 2, pp. 57-76.
Lamorde, I. (2012), “Nigeria: more boost for corruption”, paper presentation on the EFCC Budget
Defence at the Senate Chamber, Federal Republic of Nigeria, Vanguard Newspaper, 27
November.
Olumide, O. (2012), “KPMG Nigeria: Africa fraud barometer result”, This Day Newspaper, 23
November.
Owens, D.R. (2012), Fraud Risk Assessment Practices and Corporate Governance, Schneider
Downs & Co., Inc., Columbus, OH, available at: www.schneiderdowns.com/UserFiles/File/
PDF/Fraud
Pallant, J. (2010), SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS,
4th ed., McGraw Hill, New York, NY.
PCAOB (2004), Standing Advisory Group Meeting: Financial Fraud (8-9 September), Public
Company Accounting Oversight Board, Washington, DC, available at: www.pcaobus.org/
Standards/Standing_Advisory_Group/Meetings/2004/09-08/Fraud.pdf (accessed 20
November 2008).
PCAOB (2008), “Public company accounting oversight board”, Standing Advisory Group,
available at: www.pcaobus.org/Standards/Standing_Advisory_Group/index.aspx
(accessed 2 December 2008).
Pichert, J.W. and Anderson, R.C. (1977), “Taking different perspectives on a story”, Journal of
Educational Psychology, Vol. 69 No. 4, pp. 309-315.
Pitz, G.P. and Sachs, N.J. (1984), “Judgment and decision: theory and application”, Annual Review
of Psychology, Vol. 35, pp. 139-163, doi: 10.1146/annurev.ps.35.020184.001035
POB (2000), Panel on Audit Effectiveness Report and Recommendations, Public Oversight Board,
Stamford, CT.
Popoola, O.M.J. (2014), “Forensic accountants, auditors and fraud: capability and competence
requirements in the Nigerian public sector”, A thesis submitted to the Othman Yeop
Abdullah Graduate School of Business, Universiti Utara Malaysia, in fulfllment of the
requirement for the Degree of Doctor of Philosophy, Malaysia.
Popoola, O.M.J., Ahmad, A.C. and Samsudin, R.S. (2013a), “Forensic accounting knowledge and
skills on task performance fraud risk assessment: Nigerian public sector experience”,
Conference Proceedings, Okinawa.
Popoola, O.M.J., Ahmad, A.C., Samsudin, R.S. and Hartini, A. (2013b), “Task performance fraud
risk assessment on forensic accountant knowledge and mindset in Nigerian public sector”,
Conference Proceedings, Seoul.
ARJ
28,1
96
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Ramaswamy, V. (2005), “Corporate governance and the forensic accountant”, The CPA Journal,
Vol. 75, No. 3, pp. 69-70.
Ramaswamy, V. (2007), “New frontiers: training forensic accountants within the accounting
program”, Journal of College Teaching & Learning, Vol. 4 No. 9.
Remenyi, D., Williams, B., Money, A. and Swartz, E. (1998), Doing Research in Business and
Management: An Introduction to Process and Method. Sage Publication, London.
Singleton, T.W., Singleton, A.J., Bologna, G.J. and Lindquist, R.J. (2006), Fraud Auditing and
Forensic Accounting, 3rd ed., Hoboken, NJ: John Wiley and Sons.
Stone, M. (1974), “Cross-validatory choice and assessment of statistical predictions”, Journal of the
Royal Statistical Society, Vol. 36 No. 2, pp. 111-147.
Torelli, C.J. and. Kaikati, A.M. (2009), “Values as predictors of judgments and behaviors: the role
of abstract and concrete mindsets”, Journal of Personality and Social Psychology, Vol. 96
No. 1, pp. 231-247.
Ugwu, C. (2012), “Nigeria: court remands two in EFCC custody for alleged N14.6 million fraud”,
Leadership, 26 November.
Wells, J.T. (2005), “Accountants need help fghting the war on fraud; ACFE founder urges
antifraud Education Press Release], from the Association of Certifed Fraud Examiner”,
available at: wwwacfe.om/about/press-release.asp?cpy?10-12-2005 (accessed 13
November 2012).
Wuerges, A. (2011), “Auditors’ responsibility for fraud detection: new wine in old bottles?”,
available at: www.scribd.com/doc/63671899/Auditors-Responsibility-for-Fraud-Detection
(accessed 3 November 2012).
Further reading
Preacher, K.J. and Hayes, A.F. (2008), “Asymptotic and resampling strategies for assessing and
comparing indirect effects in multiple mediator models”, Behavior Research Methods,
Vol. 40 No. 3, pp. 879-891.
Corresponding author
Oluwatoyin Muse Johnson Popoola can be contacted at: [email protected]
For instructions on how to order reprints of this article, please visit our website:
www.emeraldgrouppublishing.com/licensing/reprints.htm
Or contact us for further details: [email protected]
97
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
doc_191099293.pdf
The paper aims to investigate Task Performance Fraud Risk Assessment (TPFRA) and
Knowledge Requirement (KR) of the forensic accountant and auditor on Fraud-Related Problem
Representation (FRPR) in the Nigerian public sector.
Accounting Research Journal
An empirical investigation of fraud risk assessment and knowledge requirement on
fraud related problem representation in Nigeria
Oluwatoyin Muse J ohnson Popoola Ayoib B Che-Ahmad Rose Shamsiah Samsudin
Article information:
To cite this document:
Oluwatoyin Muse J ohnson Popoola Ayoib B Che-Ahmad Rose Shamsiah Samsudin , (2015),"An
empirical investigation of fraud risk assessment and knowledge requirement on fraud related problem
representation in Nigeria", Accounting Research J ournal, Vol. 28 Iss 1 pp. 78 - 97
Permanent link to this document:
http://dx.doi.org/10.1108/ARJ -08-2014-0067
Downloaded on: 24 January 2016, At: 21:21 (PT)
References: this document contains references to 78 other documents.
To copy this document: [email protected]
The fulltext of this document has been downloaded 417 times since 2015*
Users who downloaded this article also downloaded:
Paul Andon, Clinton Free, Benjamin Scard, (2015),"Pathways to accountant fraud: Australian
evidence and analysis", Accounting Research J ournal, Vol. 28 Iss 1 pp. 10-44 http://
dx.doi.org/10.1108/ARJ -06-2014-0058
J ames A. DiGabriele, Wm. Dennis Huber, (2015),"Topics and methods in forensic accounting
research", Accounting Research J ournal, Vol. 28 Iss 1 pp. 98-114 http://dx.doi.org/10.1108/
ARJ -08-2014-0071
Timothy J . Louwers, (2015),"The past, present, and future (?) of crime-related forensic accounting
methodology", Accounting Research J ournal, Vol. 28 Iss 1 pp. 4-9 http://dx.doi.org/10.1108/
ARJ -04-2015-0047
Access to this document was granted through an Emerald subscription provided by emerald-
srm:115632 []
For Authors
If you would like to write for this, or any other Emerald publication, then please use our Emerald
for Authors service information about how to choose which publication to write for and submission
guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.
About Emerald www.emeraldinsight.com
Emerald is a global publisher linking research and practice to the benefit of society. The company
manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as
well as providing an extensive range of online products and additional customer resources and
services.
Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the
Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for
digital archive preservation.
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
*Related content and download information correct at time of
download.
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
An empirical investigation of
fraud risk assessment and
knowledge requirement on fraud
related problem representation
in Nigeria
Oluwatoyin Muse Johnson Popoola, Ayoib B. Che-Ahmad and
Rose Shamsiah Samsudin
College of Business, School of Accountancy, Universiti Utara Malaysia,
Sintok, Malaysia
Abstract
Purpose – The paper aims to investigate Task Performance Fraud Risk Assessment (TPFRA) and
Knowledge Requirement (KR) of the forensic accountant and auditor on Fraud-Related Problem
Representation (FRPR) in the Nigerian public sector.
Design/methodology/approach – The study used cross-sectional design and 400 survey
questionnaires. The respondents are real professional people (auditors and forensic accountants in the
Nigerian public sector) as true representatives to enhance the generalization of the outcomes. Atotal of
36 indicator items was measured on fve-point Likert scale from 1 (strongly disagree) to 5 (strongly
agree). Partial Least Square – Structural Equation Modelling 2.0 3Mand IBMSPSS Statistics 20.0 were
used as the primary statistical analysis tool for the study.
Findings – The results of the present study confrmthe positive relationship between KR on TPFRA,
positive relationship of KR on FRPR and positive relationship of FRPR and TPFRA. Specifcally, the
results revealed that FRPR positively mediates the relationship between TPFRA and KR (forensic
accountant and auditor) in the areas of fraud prevention, detection and response.
Research limitations/implications – The frst limitation deals with fraud and corrupt practices in
a developing country, Nigeria. Examining the mediating infuence of FRPR on KR and TPFRA in the
public sector could be considered as sensitive and raise the issue of bias. The second limitation is the
adoption of cross-sectional design in which data are collected at one point in time. Researchers are
encouraged to use a longitudinal design to explore interactions between KR, FRPR and TPFRA.
Practical implications – This empirical study has revealed the value of KR(forensic accountant and
auditor) as a signifcant capability requirement in the workplace. In addition, it shows the importance of
FRPR as an important mental state in decision-making or judgment and also the signifcance of FRPR
as an important mediating variable on KR and TPFRA.
Originality/value – No nation is immune to fraud, and loss due to fraud in the public sector is
enormous and costly; the result of this research will improve the KR of auditors and forensic
accountants in the areas of fraud detection, prevention and response. It will also contribute to the
regulatory, legal and institutional frameworks in accounting and auditing systems in Nigeria and
portend an increase in demand for forensic accountants.
Keywords Nigeria, Auditing, Forensic accounting, Fraud-related problem representation,
Knowledge requirement, Task performance fraud risk assessment
Paper type Research paper
JEL classifcation – M410, M420
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/1030-9616.htm
ARJ
28,1
78
Received8 August 2014
Revised14 February2015
Accepted21 April 2015
Accounting Research Journal
Vol. 28 No. 1, 2015
pp. 78-97
©Emerald Group Publishing Limited
1030-9616
DOI 10.1108/ARJ-08-2014-0067
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
1. Introduction
1.1 Background to the study
Nigeria, a developing nation, is blessed with an abundance of human resources,
agriculture, proper climate conditions and natural resources (solid minerals, oil,
hydroelectric energy and water). Despite the abundance of these resources, the rate of
economic development appears potentially slow; human resources development and
provision of services, infrastructure and facilities are not suffcient. This slow pace of
growth was linked to the high level of fraud, corruption, misappropriation and
conversion of government properties in the public sector.
Lamorde (2012) attributed consequences of fraud to include unemployment, epileptic
power supply, near total decay of infrastructure, bad roads, erratic water supply,
inadequate hospital facilities and other social vice.
The government introduced the Fiscal Responsibility Act (FRA, 2007) and the Public
Procurement Act (PPA, 2007) to curb the incidence of fraud and to promote public
accountability and good governance. Despite this, fraud continues to be on the increase
in the public sector.
Section 85 of the Constitution of the Federal Republic of Nigeria (CFRN, 1999 as
amended) provides for the Offce of the Auditor-General of the Federation (OAudGF).
The OAudGF acts as the government watchdog. It also reports to Public Accounts
Committee (PAC) of the National Assembly (Bammeke, 2008). As noted by Popoola
(2014), the delay by the PAC to meet and discuss the AudGF reports on the State
fnancial statements is frightening. For instance, state fnancial statements could remain
unattended to; sometimes, more than three-year backlog symbolizes a gross defciency
and encourages fraud and corrupt practices in the public sector (Popoola, 2014).
It is obvious fromthe background to this study that corrupt practices and fraud exist
in the Nigerian public service. The increase in fraud necessitates the need to carry out
this study to investigate the infuence of FRPR on TPFRA and KR among forensic
accountants and auditors in the Nigerian public sector.
To the best of the authors’ knowledge, there is no study that has examined the
infuence of FRPR on KR and TPFRA in the Nigerian public sector.
1.2 Problem statement
Specifcally, the public outcry on fraud depicts the failure of the conventional accounting
and auditing services to address and improve accountability and transparency
challenges in the public governance of Nigeria. Evidence of this is the alarming rate of
increase in corrupt and fraudulent practices while public services, infrastructure and
facilities are fast worsening (Olumide, 2012; Ugwu, 2012).
Similarly, the public sector adopts cash basis accounting policy and relies on
constitutional and regulatory frameworks. The frameworks include the CFRN, 1999 (as
amended), Audit Ordinance, Finance (control and management) Act, 1958, Financial
Regulations and Finance/Treasury circulars (ICAN, 2010; Bammeke, 2008). The private
sector embraces the accrual basis accounting policy and complies with institutional and
legal frameworks. The structures consist of accepted accounting practices (GAAP), the
Nigerian Standards on Auditing (NSAs) and the Statement of Accounting Standards
(SAS).
Specifcally, the fndings from any empirical studies conducted on the private sector
in Nigeria are bound to meet with gaps because of the differences that exist between
79
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
private sector and public sector accounting policies. These differences cause the need to
embark on this study.
1.3 Research questions
RQ1. Does knowledge requirement (forensic accountant and auditor) relate to task
performance fraud risk assessment?
RQ2. Does fraud-related problem representation mediates the relationship between
knowledge requirement and task performance fraud risk assessment?
1.4 Research objectives
To examine the relationship between Knowledge Requirement (KR) (forensic
accountant and auditor) and Task Performance Fraud Risk Assessment (TPFRA).
To examine the mediating infuence of Fraud-Related Problem Representation
(FRPR) on KR (forensic accountants and auditors) and TPFRA.
1.5 Scope of the study
This study considers only the offce of the Accountant General of the Federation and the
Auditor General for the Federation in Nigeria. Government enforcement and regulatory
agencies draw from the pool of forensic accountants, accountants and auditors in these
two offces for professional advice on fraud and fnancial crimes detection, prevention
and response.
2. Review of literature
2.1 Introduction
Consequent upon the global meltdown motivated by the collapse of Enron, World.Com
and Parmalat (Sarbanes – Oxley Act, 2002), the global environment stresses on the
procedures and controls designed by forensic accountants and auditors in the conduct of
their examination in detecting, preventing and responding to fraud. Similarly, the
methods embraced by statutory independent auditors and the internal auditors to plan
and complete task and to assess fraud risk in audit assignments revolve around the
sensitivity of the fnancial statement stakeholders and the auditing and accounting
standard setters. Also, the techniques used by the forensic accountants will depend on
the nature, scope, evidence gathering, skills requirement, limitation to using the report
and users of services and reports (Popoola, 2014).
2.2 Defnitions of forensic accounting and auditing
Popoola et al. (2013a) defned forensic accounting as the integration of specialized
accounting knowledge, enhanced skills and positive mental attitude to resolving legal
issues. Huber and DiGabrielle (2014) described forensic accounting as “the application of
investigative and analytical skills for the purpose of resolving fnancial matters in a
manner that meets the standards required by the court of law” (Hopwood et al., 2008).
Forensic accountants exist mainly for the same reasons why prosecutors and
commercial branch investigators exist. The reasons were linked to the manifestation of
criminals in the areas of fraud, white collar crime, corruption, money laundering,
computer fraud, conversion and theft.
Auditing is described as an unbiased examination and evaluation of the fnancial
statements of an organization to expedite expression of opinion on its truth and fairness
ARJ
28,1
80
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
(Adebisi, 2011). It can be done internally (by employees of the organization) or externally
(by an independent professional frm). The International Standards on Auditing No. 700
and ISA 200 provide:
The objective of the audit of fnancial statements is to enable the auditor to express an opinion
whether the fnancial statements are prepared in all material respects, in accordance with the
applicable fnancial reporting framework; and “the overall objectives of the Independent
Auditor and the conduct of an audit in accordance with International Standards on Auditing”
(IFAC, 2009a, 2009b).
Similarly, an audit of fnancial statements denotes an assurance engagement as
recognized in the International Framework for Assurance Engagements (IFAC, 2006b),
which is considered to improve the degree of confdence of the intended stakeholders
(IFAC ISA 200, section 1, para 3, p. 72).
2.3 Concept of fraud
Fraud is an intentional act designed principally to deceive or mislead another party
(Arens and Loebbecke, 1996), and, regardless of the form fraud is noticed, it is
problematic to auditors to detect, as the perpetrators take steps deliberately to conceal
the resulting wrongdoings (Knapp and Knapp, 2001). In addition, fraud harms the
character and the trustworthiness of the audit profession (Wuerges, 2011). Accounting
researchers, practitioners and standard setters alike uttered the concern for auditors’
apparent failure in detecting fraud during an audit (Jamal, 2008; Wells, 2005; AICPA,
2002). The Association of Certifed Fraud Examiner (ACFE) argues that fnancial
statement auditors are not fraud examiner and also states that external audits are not
the most effcient way to detect or limit fraud (ACFE, 2010). These viewpoints are also
shared by this study based on the KR, purpose and scope of the assignment.
Similarly, the Nigerian Standards on Auditing (NSA) No. 5, The Auditor’s
responsibility to consider fraud in an audit of fnancial statements (ICAN, 2005) and the
Statement on Auditing Standards (SAS) No. 99, Consideration of Fraud in a Financial
Statement Audit (AICPA, 2002 Sec. 316.50) provide auditors with better guidance on
howto improve their ability to detect fraud during a fnancial statement audit. SAS No.
99 includes the suggestion that an “auditor may respond to an identifed risk of material
misstatement due to fraud by assigning […] forensic or IT specialists”. This matter
raised public awareness of fraud and forensic accounting.
2.4 Task performance fraud risk assessment
TPFRA is designated as the focus area for this study because every ministry,
department and agency of government faces multiplicity of risks from external and
internal sources. In addition, fraud risk assessment helps auditors to determine the
nature and extent of audit procedures planned to increase the likelihood of uncovering
fraud (Wuerges, 2011; Bloomfeld, 1997). The auditing standards (AICPA, 2002, SAS No.
99, 1997, SAS No. 82) specify that:
[…] auditors are to document their assessment of fraud risk during the planning phase of the
audit and to update the initial evaluation as necessary throughout the course of the
engagement.
Also, the SAS No. 99 discusses relevant fraud risk factors that might signal the existence
of an intentional material misstatement, that is, fraud (AICPA, 2002). The risk factors
81
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
acknowledged include incentive or pressure, opportunity and attitude or rationalization.
In essence, fraud risk assessment has a direct relationship to the effectiveness of
auditors’ fraud detection in an audit.
Previous research in accounting has shown that much attention has been dedicated
to fraud and fraud risk-related issues (Allen et al., 2006; Cushing et al., 1995).
Unfortunately, these studies found that auditors are poor assessors of fraud risk and, as
a result, failed to detect fraud in fnancial statements (Knapp and Knapp, 2001; Joyce and
Biddle, 1981). For this reason, it requires those in authority to consider the impact of
changes in the external environment and within its activity model that may render
internal control less effective.
Similarly, the O’Malley Commission recommends to the auditors to integrate fraud or
forensic accounting procedures (substantive tests that were directed at the possibility of
fraud) on every audit to improve the likelihood of discovering fnancial statement fraud
(POB, 2000). Also, the Public Company Accounting Oversight Board Standing Advisory
Group (SAG) highlights a number of fraud-related issues that require accounting
researchers’ attention (PCAOB, 2008). One of the issues suggested for further research is
to determine whether forensic accountants (fraud specialists or fraud examiners) are
better than auditors in detecting fraud.
2.5 Fraud-related problem representation
Problem representation has been recognized as an internal cognitive framework that
embodies an individual’s understanding and interpretation of a problem situation
(Bedard and Chi, 1993; Christ, 1993; Chi et al., 1981). Prior research shows that
individuals develop problem representations when they are faced with a
decision-making assignment (Pitz and Sachs, 1984; Gagné and White, 1978). This
internal structure is constructed by mapping available problem information into
individuals’ existing knowledge relevant to the type of decision task they encounter
(Chui, 2010; Koonce, 1993). The mapping process facilitates the construction of mental
slots used to help individuals store information about their decision task (Pichert and
Anderson, 1977). The way forensic accountants and auditor assert understanding and
interpretation of a fraud-related problem situation depend on their KR and fraud risk
assessment.
2.6 Forensic accountants and auditors KR
Previous research has shown that both forensic accountants and auditors acquire
similar fundamental knowledge (Davis et al., 2010).
However, the ICAN in Nigeria (Popoola, 2014, p. 44) and other similar professional
bodies in UK, USA and Canada (Huber, 2011) award forensic certifcation such as CFA,
CFE and CFF to members after successfully completing forensic education program. In
Nigeria, one must be an ACAor FCAto be eligible for CFAeducation training program.
Forensic accountant applies specialized knowledge of fraud detection, prevention,
deterrence and remediation structures to the fundamental knowledge in gathering
information, investigation, analyzing, reporting and communicating fnancial
information to improve future task performance judgment or to resolve legal matters
(Popoola, 2014).
Without proper and adequate forensic education, expecting fnancial statement
auditors to detect fraud is similar to pouring new wine into old bottles (Wuerges, 2011).
ARJ
28,1
82
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Accounting standard setters responded to the public outcry and issued Nigerian
Standards on Auditing (NSA) No. 5 and SAS No 99 (ICAN, 2005; AICPA, 2002). These
standards contain recommendation that the “auditor may respond to an identifed risk
of material misstatement due to fraud by assigning the forensic or IT specialists”
(Popoola et al., 2013b; Chui, 2010; AICPA, 2002).
Davia (2000) found that fraud detection is distinct fromthe fnancial statement audit,
and it requires a diverse knowledge area, which can only be carried out through forensic
accounting techniques. Prior studies have shown the necessary forensic accounting
knowledge to include professional responsibilities and practice management, laws
experts and testimonies (Davis et al., 2010; Durkin and Ueltzen, 2009). The AICPA core
wheel specialized knowledge of fraud prevention, detection and response is the focus of
this study (Davis et al., 2010; AICPA, 2008).
Specifcally, forensic accountants will continue to be in high demand (Wells, 2005) as
long as criminals exist in the areas of fraud, corruption, asset misappropriation and
conversion. This study aligns with Wells (2005) position that as long as untrained
graduates are employed to detect fraud committed by technologically advanced
criminals, the necessity for forensic accountants with fraud knowledge will continue to
be on the increase.
3. Hypothesis development based on literature review
3.1 Knowledge requirement and task performance fraud risk assessment
Prior literature argued that the KR of the auditor is limited in terms of the nature and
scope of the audit assignment. The International Education Standard (IES) No. 8,
competence requirements of professional accountants sections 36-41 classifed the
knowledge content of the auditor into three distinct levels (IFAC, 2006a). These are
historical fnancial information audit at a higher standard, fnancial accounting and
reporting at a higher standard and information technology (IFAC, 2006a, 2006b). Indeed,
Statement of Auditing Practice No. 30 recognizes that auditors should be conscious of
the prospect of fraud presence during an audit; this was not absolutely defnite and left
auditors with no commitment to detect fraud (Wuerges, 2011; Albrecht and Willingham,
1993).
Literature acknowledged the fact that individuals who are educated in the use of
information technology, legal, investigative, criminology, psychology and accounting
will exude brilliance than others in the areas of accounting records, gathering and
evaluating fnancial statement evidence, interviewing all parties related to an alleged
fraud situation and serving as an expert witness in a fraud case (Wuerges, 2011;
Hopwood et al., 2008; Singleton et al., 2006).
This study also agrees with Daniel and Lee (2006) that other accountants may look at
the charts, but forensic accountants dig deep into the body. For this reason, the following
hypothesis is proposed:
H1. There is a positive direct relationship between Knowledge Requirement
(forensic accountant and auditor) and Task Performance Fraud Risk
Assessment.
3.2 Knowledge requirement and fraud-related problem representation
The second theoretical relationship in this research framework epitomizes the impact of
KR on the (FRPR. KR has indirect infuences on decision-making task performance
83
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
through the development of an emotional structure that is mostly referred to as FRPR
(Kleinman and Palmon, 2007; Gupta and Govindarajan, 2002).
Prior studies have made available empirical evidence to argue the assertion that KR
infuences the development of individuals’ FRPR, which, in turn, inspire their task
performances (Chui, 2010; Torelli and Kaikati, 2009). This study asserts that there is a
signifcant relationship between KR and FRPR. The hypothesis is formulated thus:
H2. There is a positive direct relationship between Knowledge Requirement
(forensic accountant and auditor) and Fraud-Related Problem Representation.
3.3 Fraud-related problem representation and task performance fraud risk assessment
Prior study has shown that the FRPR has a consequential impact on individual’s
judgment and decision-making (Kadous and Sedor, 2004). Also, Bierstaker et al. (1999)
study that investigate auditors’ problem representation and their performance on
analytical procedure job using a think-aloud verbal protocol to elicit auditors’ problem
representation about their clients’ allocation of overhead costs lend weight to Kadous
and Sedor (2004) study.
Based on the above discussion, this study asserts that there is a signifcant
relationship between FRPR and TPFRA. The formulated hypothesis is:
H3. There is a positive direct relationship between Fraud-Related Problem
Representation and Task Performance Fraud Risk Assessment.
3.4 Mediating hypothesis
As stated in H1, H2 and H3, there is positive signifcant direct relationship between KR
and TPFRA, a positive signifcant direct link between KR and FRPR, and a positive
signifcant direct relationship between FRPR and TPFRA. For this reason, this study
affrms that FRPR mediates the relationship between KR and TPFRA. It is
hypothesized:
H4. Fraud-Related Problem Representation positively mediates the relationship
between Knowledge Requirement and Task Performance Fraud Risk
Assessment.
3.5 Conceptual framework
Figure 1 summarizes earlier literature and illustrates the conceptual framework of
TPFRA on KR and FRPR in the Nigerian public sector.
Figure 1.
Theoretical
framework: mediating
effect of fraud related
problem
representation on
knowledge
requirement and task
performance fraud
risk assessment model
ARJ
28,1
84
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
4. Methodology
4.1 Introduction
This study embraced the positivist ontology, empirical epistemology and quantitative
methodology. Remenyi et al. (1998) asserted that a methodological framework could be
derived from a review of the relevant literature, which provides the researcher with a
clear expectation of howa particular phenomenon is likely to behave, and fromwhich a
researcher formalizes a model.
4.2 Research design
The study used cross-sectional design as data were collected at a single point in time.
The meaning of research design is to give weight to the evidence acquired to enable the
researcher to answer the research questions as unequivocally as possible (De Vaus,
2011).
4.3 Population, survey questionnaire, pilot study and measures of variables
The study respondents are forensic accountants and auditors in the accounting and
auditing institutions of the Nigerian public sector. Prior to the conduct of a pilot study,
the survey questionnaire was subjected to expert review (content validity). Their
comments and suggestions were also recognized. Pilot study was carried out on 60
respondents, out of which 12 suffered rejection as unusable.
In total, 400 survey questionnaires were distributed in a random sample of forensic
accountants and auditors in the offce of the Accountant General of the Federation and
Auditor General for the Federation.
The research respondents were asked the extent of their agreement with the seven
items of KR (Davis et al., 2010; Ramaswamy, 2007, 2005), 16 items of FRPR (Basadur
et al., 2013; Basadur and Basadur, 2011) and four items of TPFRA (Dzomira, 2014;
Owens, 2012). The agreement ratings was made on a fve-point Likert scale for KR and
TPFRA ranging from 1 (Strongly disagree) to 5 (Strongly agree). Also, the FRPR
consisted of 16 items on a fve-point Likert scale ranging from 1 (Not at all) to 5 (Very
often).
4.4 Data analysis
Descriptive statistics (ranges, means and standard deviations) was computed with the
use of IBM SPSS (Version 20.0) (Coakes, 2013; Pallant, 2010). In addition, Partial Least
Square – Structural Equation Modelling (PLS-SEM), a statistical analysis tool was used
for the refective measurement model and structural model (Hair et al., 2014).
5. Results
5.1 Response rate and descriptive statistical analysis
A total of 267 (66.75 per cent) individuals completed the survey. In total, 234 (58.5 per
cent) respondents were found to be usable to further analysis and 33 (8.25 per cent) were
rejected for ticking multiple times and non-completion of the survey questionnaire. Of
the 234 that were usable, 129 (55 per cent) were forensic accountants and 105 (45 per
cent) were auditors.
Descriptive statistics for the KR, FRPR and TPFRA, is shown in Table 1.
KR construct recorded the highest scores (M ? 4.75, SD ? 0.42), whilst the lowest
score obtained by the FRPR construct (M?4.34, SD ?0.64).
85
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
5.2 Evaluation of results
This study uses PLS – SEM analysis in the assessment of the measurement model
(refective) and the structural model. Refective measurement model comprises internal
consistency (composite reliability), indicator reliability, convergent validity (average
variance extracted) and discriminant validity (Hair et al., 2014). Also, structural model
evaluation consists of coeffcient of determination (R
2
), predictive relevance (Q
2
), size
and signifcance of path coeffcients, and f
2
effect sizes (Hair et al., 2014; Barclay et al.,
1995).
Chin (2010) found out that the old-fashioned parametric-based techniques for
signifcance testing were not appropriate in PLS – SEMbecause of its non-distributional
normality assumption of the observations in estimating parameters. In this study,
Table II has shown that all outer loadings of the constructs KR, FRPR and TPFRA are
well above the minimum acceptable level for outer loadings 0.5 (0.708
2
).
Also, in the evaluation of the measurement model, Table III summarizes the model
quality criteria – convergent validity and reliability analysis. Similarly, the composite
reliability (CR) values of 0.95 (KR), 0.93 (FRPR) and 0.95 (TPFRA) illustrate that all the
three constructs have high levels of internal consistency reliability.
In this study, the AVE values of KR (0.82), FRPR (0.68) and TPFRA (0.82) are well
above the minimum level of 0.50. Hence, the measures of the three refective constructs
have a high degree of convergent validity (Hair et al., 2014).
According to Hair et al. (2011), any cross-loadings that exceed the indicators’ outer
loadings portends a discriminant validity problem. The outer loadings of FRPR13
Table I.
Range, mean and
standard deviations
of respondents
(N ?234)
Construct N Minimum Maximum Mean SD
KR 234 3.500 5.000 4.754 0.423
FRPR 234 3.500 5.000 4.345 0.640
TPFRA 234 3.000 5.000 4.436 0.578
Table II.
Key factor loadings
and cross loadings
Latent variable Indicators FRPR KR TPFRA
Fraud-related problem representation FRPRR13 0.8544 0.4806 0.8091
FRPRR14 0.8867 0.6972 0.7642
FRPRR4 0.7173 0.6216 0.6042
FRPRR5 0.8787 0.6035 0.7224
FRPRR6 0.8016 0.45 0.707
FRPRR9 0.7866 0.3117 0.7044
Knowledge requirement KR1 0.5784 0.9396 0.4391
KR2 0.5476 0.9184 0.4348
KR3 0.6365 0.9231 0.4993
KR4 0.5779 0.8438 0.5364
Task performance fraud risk assessment TPFRAR1 0.8088 0.4434 0.9056
TPFRAR2 0.7615 0.3984 0.920
TPFRAR3 0.8556 0.6568 0.909
TPFRAR4 0.7976 0.4029 0.8778
Note: The factor loadings of bold values are greater than the cross-loadings values of the other constructs
ARJ
28,1
86
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
(0.854), KR1 (0.940) and TPFRA1 (0.906) showgreater loadings than all of their loadings
on other constructs, that is, the cross-loadings (Tables II and III).
The square root of the AVEvalues and the latent variable correlations was compared
in adherence to the Fornell and Lacker (1981) criterion (Hair et al., 2010). The logic
behind the conservative approach indicates that a construct shares more variance with
its associated indicators than with any other construct (Figure 2 and Table IV).
Figure 2.
Results of the PLS –
SEM algorithm direct
effects: KR on
TPFRA, KR on
FRPR and FRPR on
TPFRA
Table IV.
Correlations and
discriminant validity
Construct FRPR KR TPFRA
Fraud-related problem representation 0.825
Knowledge requirement 0.648 0.906
Task performance fraud risk assessment 0.794 0.530 0.906
Note: Diagonals that are displayed in bold represent the squared average variance extracted (AVE),
while the values not in bold, represent the correlations
Table III.
Model quality
criteria: convergent
validity and
reliability analysis
Latent variable Indicators Loadings
Indicator
reliability
Composite
reliability AVE
Discriminant
validity?
Fraud-related problem
representation
FRPRR13 0.854 0.729 0.93 0.68 Yes
FRPRR14 0.887 0.787
FRPRR4 0.717 0.514
FRPRR5 0.879 0.773
FRPRR6 0.802 0.643
FRPRR9 0.787 0.619
Knowledge requirement KR1 0.940 0.884 0.95 0.82 Yes
KR2 0.918 0.843
KR3 0.923 0.852
KR4 0.844 0.712
Task performance fraud
risk assessment
TPFRAR1 0.906 0.821 0.95 0.82 Yes
TPFRAR2 0.920 0.846
TPFRAR3 0.909 0.826
TPFRAR4 0.878 0.771
87
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Hair et al. (2014) found that PLS – SEM fts the model to the sample data to obtain the
best parameter estimates by maximizing the explained variance of the endogenous
latent variable(s). There are two hypotheses that were formulated to answer the research
questions highlighted in Section 1.3. Figure 3 represents the essential criteria for
assessment of the structural model.
5.3 Evaluating R
2
of the model
The R
2
denotes the amount of explained variance of the TPFR assessment construct of
the structural model. Prior research has shown that a well-developed path model should
deliver suffciently high R
2
values to describe KR construct. This study recorded R
2
values of 0.42 (medium) and 0.80 (substantial) for FRPR and TPFRA, respectively, thus
establishing substantial amount of explained variance according to Chin (2010) and
Albers (2010) baseline criteria of 0.25 (weak), 0.50 (medium), and 0.75 (substantial).
5.4 Evaluating effect size f
2
values in the structural model
The f
2
effect size captures the contribution of KR construct to the R
2
value of TPFRA
construct of the structural model. The guidelines for evaluating f
2
are that values of 0.02,
0.15 and 0.35, respectively, represent small, medium and large effects (Cohen, 1988) of
the endogenous latent variable. Table V describes the evaluation of f
2
effect size on the
structural model of this study.
The TPFRA recorded f
2
effect size of KR (0.20), which belongs to a medium effect
size. This size confrms the evaluation criteria to have been met. It also demonstrated the
contribution of the KR construct to the target construct of FRPR.
Figure 3.
Results of the
bootstrapping
structural model
Table V.
Assessing f
2
effect
sizes of the structural
model
FRPR
Endogenous construct R
2
incl R
2
excl R
2
incl-R
2
excl 1-R
2
incl Effect size
KR 0.420 0.306 0.114 0.580 0.197
ARJ
28,1
88
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
5.5 Evaluating the predictive relevance Q
2
of the structural model
The study examines the Q
2
predictive relevance value based on Geisser (1974) and Stone
(1974). Literature has shown that when the SEM– PLS exhibits predictive signifcance,
it accurately predicts the data points of indicators in refective measurement model of
endogenous constructs (Hair et al., 2014). Similarly, the Q
2
values larger than zero show
the path model’s predictive relevance for TPFRA. For this study, the Q
2
value is
obtained by using the blindfolding procedure for a set distance Dof 7, (Hair et al., 2014),
and as represented in Table VI.
The TPFRAconstruct evaluation specifes Q
2
effect size of KR (0.04) as belonging to
a small effect size by a confrmation that the assessment criteria to have been considered
in line with Cohen’s (1988) criteria.
5.6 Direct hypothesis
Table VII and Figure 3 indicate direct relationships between KR, FRPR and TPRA and
signify three circumstances. First, the result shows that KR maintained signifcant
association with: TPFRA (beta ?0.085; t ?2.238; p ?0.000) and FRPR (beta ?0.648;
t ? 17.435; p ? 0.000). Also, a very strong relationship between FRPR and TPFRA
exists (beta ? 0.949; t ? 31.409; p ? 0.000). The results highlight that among the two
criterions of KR, FRPR recorded the highest signifcant path coeffcient (beta ?0.648).
This explains KRcontribution as the most signifcant predictor of FRPRand TPFRAof
forensic accountants and auditors in the Nigerian public sector. Consequently, H1, H2
and H3 are well supported and accepted by this study.
5.7 Mediation hypothesis
Table VIII demonstrates the indirect relationship of FRPR on KR and TPFRA through
the path coeffcient, the standard error, the t values, the p-values of the PLS – SEM
structural model and the decision adopted.
The study used multiple regression analyses to assess each component of the
mediation model. First, it was found that KR was positively associated with TPFRA
(beta ? 0.85, t(232) ? 22.030, p ? 0.000). Second, it was also established that KR was
positively related to FRPR (beta ?0.75, t(232) ?16.811, p ?0.000). Third and last, the
mediator, FRPR was positively related to TPFRA (beta ? 0.68, t(232) ? 13.032,
Table VI.
Assessing the
predictive relevance
of Q
2
values in the
structural model
TPFRA
Endogenous construct Q
2
incl Q
2
excl Q
2
incl-Q
2
excl 1-Q
2
incl Effect size
KR 0.654 0.639 0.015 0.346 0.043
Table VII.
Direct relationship
effects of KR and
FRPR on TPFRA
No. Hypothesis Path coeffcient Standard error t-value Decision
1 FRPR -?TPFRA 0.949** 0.030 31.409 Support
2 KR -?FRPR 0.648** 0.037 17.435 Support
3 KR -?TPFRA 0.085* 0.038 2.238 Support
Notes: **Shows the itemis signifcant at the p ?0.01 (1%level); *indicates the itemis signifcant at
p ?0.05 (5% level)
89
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Table VIII.
PLS – SEM
mediation and
Bootstrap of the
indirect hypothesized
path
N
o
.
H
y
p
o
t
h
e
s
i
s
P
a
t
h
c
o
e
f
f
c
i
e
n
t
s
a
b
c
c
=
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
P
a
t
h
c
o
e
f
f
c
i
e
n
t
t
-
v
a
l
u
e
S
u
p
p
o
r
t
e
d
4
K
R
–
?
F
R
P
R
–
?
T
P
F
R
A
0
.
7
5
1
6
.
8
1
0
.
6
8
1
3
.
0
3
0
.
8
5
2
2
.
0
3
0
.
5
2
9
.
7
8
Y
e
s
*
*
N
o
t
e
s
:
*
*
p
?
0
.
0
1
;
N
?
2
3
4
;
t
w
o
-
t
a
i
l
e
d
;
K
R
?
K
n
o
w
l
e
d
g
e
;
F
R
P
R
?
F
r
a
u
d
-
R
e
l
a
t
e
d
P
r
o
b
l
e
m
R
e
p
r
e
s
e
n
t
a
t
i
o
n
;
T
P
F
R
A
?
T
a
s
k
P
e
r
f
o
r
m
a
n
c
e
F
r
a
u
d
R
i
s
k
A
s
s
e
s
s
m
e
n
t
ARJ
28,1
90
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
p ? 0.000). Results confrmed the mediating role of FRPR on the relationship between
KR and TPFRA (beta ? 0.51, CI ? 0.42 to 0.61). Also, the results indicated the direct
effect of KR on TPFRA to be signifcant (beta ? 0.52, t(232) ? 9.784, p ? 0.000) when
controlling for FRPR. It suggests partial mediation. Thus, H4 and as demonstrated in
Table 8, and Figure 4 of this study is supported.
6. Discussions
6.1 Introduction
In this study, TPFRAdescribes the ability of the forensic accountant and the auditor to
assess the risk of fraud to a defned level in the real working environment. This study
found that in relation to accounting and auditing profession, KR and FRPR have
signifcant relationships with TPFRA.
KRrefers to the attribute and profciency competences of the forensic accountant and
the auditor necessary to discharge technical and innovative task with respect to fraud
prevention, detection and response (Popoola et al., 2013a). The current fndings provide
support for H1 and also agree with the previous research of Davis et al. (2010) that found
a positive relationship. The result in knowledge development would correspondingly
upturn their profciency competences; create awareness and understanding of the fraud
schemes.
FRPRis described in this study as an internal cognitive framework that embodies an
individual’s understanding and interpretation of a problemsituation (Greeno, 1977; Chi
et al., 1981), especially in fraud prevention, detection and response (Popoola et al., 2013b;
Chui, 2010). The fnding provides support for H2 and agrees with the previous research
(Chui, 2010) that found a positive relationship.
TPFRAis the substratumof the audit assignment. The fnding provides support for
H3 and agrees with the previous study of Chui (2010) that found a positive relationship
between FRPR and TPFRA.
Importantly, the result of the mediating effect represents the signifcant contribution
of this study. The fndings provide support for H4.
6.2 Contributions/implications of the study
6.2.1 Theoretical contributions. Theoretical contributions of this study included:
• This study expanded the TPFRAliterature within the organizational context in a
developing country, Nigeria.
• It also established the mediating infuence of FRPR on the relationship between
KR (forensic accountant and auditor) and TPFRA.
Figure 4.
Mediating infuence
of FRPR on KR and
TPFRA
91
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
• The study confrmed the positive infuence of FRPR on TPFRA.
• This study proved the positive infuence of KR (forensic accountant and auditor)
on FRPR.
It established the signifcant positive direct relationship of KR on TPFRA.
6.2.2 Methodological contributions. Methodological contributions of this study
included:
• The study adopted quantitative research with cross-sectional design that is
unique in having more successes than other designs towards achieving
representativeness to generalize the results obtained in a sample of the wider
population the sample represents.
• The use of respondents who are real professional people (forensic accountant and
auditor) instead of student surrogates.
• The use of PLS – SEM Algorithm and Bootstrapping statistical analysis
techniques provide prospect for testing the robustness and predictive power of the
tool in exploratory relationships of the constructs and also because of the ever
increasing importance of understanding latent phenomena such as attitudes,
attributes, consumer perceptions or intentions as well as their impact on
organizational performance measures (Hair et al., 2014; Kline, 2005; Hershberger,
2003).
6.2.3 Managerial/practical. Managerial/practical of this study included:
• This study revealed the value of knowledge (forensic accountant and auditor) as
a signifcant capability requirement in the workplace.
• It showed the importance of FRPR as a mental representation in understanding
and interpretation of a task performance in the workplace.
• The study revealed the signifcance of TPFRA as a primary competence
requirement in the areas of fraud detection, prevention/deterrent and response.
• It also explained the importance of FRPR as a signifcant mediating variable on
KR (forensic accountant and auditor) and TPFRA.
• The study has the potential to contribute to the regulatory, institutional and legal
framework in the accounting and auditing systems in Nigeria.
6.3 Limitations and future research
The frst limitation of this research deals with fraud and corrupt practices in a
developing country, Nigeria. Examining the mediating infuence of FRPR on KR and
TPFRA in the public sector could be considered as sensitive and raise the issue of bias.
The second limitation is the adoption of cross-sectional design in which data are
collected at one point in time.
Future research could include professional ethics. Ethics is signifcant for the
profession to make available excellent services in the areas of fraud prevention,
detection and response. Ethics (forensic accountant and auditor) can serve as a mediator
in a model involving KR and TPFRA.
ARJ
28,1
92
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
7. Conclusion
This study presented a detailed analysis of the mediating impact of FRPR on TPFRA
and KR requirement (forensic accountant and auditor) in the Nigerian public sector.
Although, TPFRAhas been widely researched, most of the attempts are fragmented and
in piecemeal (Davis et al., 2010; Wuerges, 2011; Chui, 2010). It also examined the
relationship between KR and TPFRA, the relationship between KR and FRPR and the
relationship between the FRPR and TPFRA beyond the ordinary scope of Western
countries. The fndings confrmed that FRPR did infuence TPFRA. The current study
listened to the clarion calls to examine auditor’s inability to detect and prevent fraud
(Chui, 2010; Davis et al., 2010; Boritz et al., 2008; Knapp and Knapp, 2001) and the
PCAOB (2004) recommendation for future research as to whether forensic accountants
are capable and competent than auditors in detecting fraud.
This study provided, perhaps for the frst time, analysis of the relationship between
KR and TPFRA by integrating the mediating infuence of FRPR. It also created
consciousness of fraud schemes among the auditors and accountants in the Nigerian
public sector. This can be achieved through training and acquisition of forensic
accounting knowledge amongst others.
Lastly, and in agreement with Houck et al.’s (2006) study, fraud and forensic
accounting affect the accounting profession every day, and it is the responsibility of the
State to design appropriate procedures and controls that will usher in a systematic
reduction in fraud.
References
ACFE (2010), Report to the Nations on Occupational Fraud and Abuse, Association of Certifed
Fraud Examiners (ACFE), Austin, TX.
Adebisi, F.A. (2011), “Audit, investigation and forensics: similarities and differences”, Institute of
Chartered Accountants of Nigeria: Forensic, Audit & Investigation Faculty, February.
AICPA (1997), Statement on Auditing Standards (SAS) No. 82: Consideration of Fraud in a
Financial Statement Audit, American Institute of Certifed Public Accountants, Durham.
AICPA (2002), American Institute of Certifed Public Accountants, Statement on Auditing
Standards (SAS), Consideration of Fraud in a Financial Statement Audit, AICPA,
Professional Standards, New York, NY, Vol. 1 No. 99, AU Sec. 316.50.
AICPA(2008), “Forensic and valuation services: overviewof certifed in fnancial forensics (CFF)
credential (American Institute of certifed public accountants, Durham”, available at: http://
fvs.aicpa.org/Memberships/Overview?of?Certifed?in?Financial?Forensics?
Credential.Htm (accessed September 2009).
Albers, S. (2010), “PLS and success factor studies in marketing”, in Esposito, V.V., Chin, W.W.,
Henseler, J. and Wang, H. (Eds), Handbook of Partial Least Squares: Concepts, Methods and
Applications (Springer Handbooks of Computational Statistics Series, Vol. II) , Springer,
Heidelberg, Dordrecht, London, NY, pp. 409-425.
Albrecht, W.S. and Willingham, J.J. (1993), “The auditor’s responsibility to detect and report errors
and irregularities,” in The Expectation Gap Standards – Progress, Implementation Issues,
Research Issues, American Institute of Certifed Public Accountants, New York, NY.
Allen, R.D., Hermanson, D.R., Kozloski, T.M. and Ramsay, R.J. (2006), “Auditor risk assessment:
insight from the academic literature”, Accounting Horizons, Vol. 20 No. 2, pp. 157-177.
Arens, A. and Loebbecke, J. (1996), Auditing: An Integrated Approach, 6th ed., Prentice Hall,
Englewood Cliffs, NJ.
93
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Bammeke, S.A. (2008), Public Sector Accounting and Finance for Decision Making, Sab &
Associates, Lagos.
Barclay, D., Higgins, C. and Thompson, R. (1995), “The partial least squares (PLS) approach to
causal modelling”, Technology Studies, Vol. 2 No. 2, pp. 285-323.
Basadur, M. and Basadur, T. (2011), “Where are the generators?”, Psychology of Aesthetics,
Creativity, and the Arts, Vol. 5 No. 1, p. 29.
Basadur, M., Basadur, T. and Licina, G. (2013), “Simplexity thinking, encyclopedia of creativity,
invention”, Innovation and Entrepreneurship, Springer, New York, NY, pp. 1617-1634,
doi: 10.1007/978-1-4614-3858-8_427
Bedard, J. and Chi, M.T.H. (1993), “Expertise in auditing”, Auditing: A Journal of Practice and
Theory, Vol. 12 No. 2, pp. 21-45.
Bierstaker, J.L., Bedard, J.C. and Biggs, S.F. (1999), “The role of problem representation shifts in
auditor decision processes in analytical procedures”, Auditing: A Journal of Practice and
Theory, Vol. 18 No. 1, pp. 18-36.
Bloomfeld, R.J. (1997), “Strategic dependence and the assessment of fraud risk: a laboratory
study”,The Accounting Review, Vol. 72 No. 4, pp. 517-538.
Boritz, J.E., Kotchetova, N. and Robinson, L.A. (2008), “Planning fraud detection procedures: fraud
specialists vs auditors”, Working Paper, University of Waterloo.
Chi, M.T.H., Feltovich, P.J. and Glaser, R. (1981), “Categorization and representation of physics
problems by experts and novices”, Cognitive Science, Vol. 5 No. 2, pp. 121-152.
Chin, W.W. (2010), “How to write up and report PLS analyses”, in Esposito, V.V.,
Chin, W.W. Henseler, J. and Wang, H. (Eds), Handbook of Partial Least Squares,
Springer-Verlag, New York, NY, pp. 655-688.
Christ, M.Y. (1993), “Evidence on the nature of audit planning problem representations: an
examination of auditor free recalls”, The Accounting Review, Vol. 66 No. 2, pp. 304-322.
Chui, L. (2010), An Experimental Examination of the Effects of Fraud Specialist and Audit
Mindsets on Fraud Risk Assessments and the Development of Fraud-Related Problem
Representation, ProQuest LLC, Parkway.
Coakes, S.J. (2013), SPSS: Analysis Without Anguish: Version 20.0 for Windows, John Wiley &
Sons, Milton.
Cohen, J. (1988), Statistical Power Analysis for the Behavioural Sciences, 2nd ed., Lawrence
Erlbaum Associates, Hillsdale, NJ.
Cushing, B.E., Graham, L.E., Palmrose, Z.V., Roussey, R.S. and Solomon, I. (1995), “Risk
orientation”, in Bell, T.B. and Wright, A.M. (Eds), Auditing Practice, Research, and
Education: AProductive Collaboration, American Institute of Certifed Public Accountants,
New York, NY, pp. 11-54.
Daniel, A. and Lee, B. (2006), “Forensic accountants appearing in the literature”, available at:
www.bus.lsu.edu/accounting/faculty/lcrumbley/forensic.html (accessed 10 March 2012).
Davia, H.R. (2000), Fraud 101: Techniques and Strategies for Detection, John Wily and Sons, New
York, NY.
Davis, C., Farrell, N. and Ogilby, S. (2010), Characteristics and Skills of the Forensic Accountant,
American Institute of Certifed Public Accountants FVS Section, New York, NY.
De Vaus, D.A. (2011), Research Design in Social Research, Sage Publications, London.
Durkin, R. and Ueltzen, M. (2009), “The evolution of the CFF credential”, The Practicing CPA,
Vol. 33 No. 6.
ARJ
28,1
94
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Dzomira, S. (2014), “Internal controls and fraud schemes in not-for-proft organisations: a guide to
good practice”, Research Journal of Finance and Accounting, Vol. 5 No. 2, pp. 118-126.
Fornell, C. and Larcker, D.F. (1981), “Evaluating structural equation models with unobservable
and measurement error”, Journal of Marketing Research, Vol. 18 No. 3, pp. 39-50.
Gagné, R.M. and White, R.T. (1978), “Memory structures and learning outcomes”, Review of
Educational Research, Vol. 48 No. 2, pp. 187-222.
Geisser, S. (1974), “A predictive approach to the random effects model”, Biometrika, Vol. 61 No. 1,
pp. 101-107.
Greeno, J.G. (1977), “Process of understanding in problemsolving”, in Castellan, N.J., Pisoni, D.B. and
Potts, G.R. (Eds), Cognitive Theory, Vol. 2, Lawrence ErlbaumAssociates Publishers, Hillsdale,
NJ, pp. 43-82.
Gupta, A.K. and Govindarajan, V. (2002), “Cultivating a global mindset”, Academy of
Management Executive, Vol. 16 No. 1, pp. 116-126.
Hair, J.F., Jr, Black, W.C., Babin, B.J., Andersen, R.E. and Tatham, R.L. (2010), Multivariate Data
Analysis, 7th ed., Pearson Prentice Hal, Upper Saddle River, NJ.
Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2014), A Primer on Partial Least Squares
Structural Equation Modeling (PLS-SEM), Sage, Thousand Oaks, CA.
Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011), “PLS-SEM: indeed a silver bullet”, Journal of
Marketing Theory and Practice, Vol. 19 No. 2, pp. 139-151.
Hershberger, S.L. (2003), “The growth of structural equation modeling”, Structural Equation
Modeling, Vol. 10 No. 1, pp. 35-46.
Hopwood, W.S., Leiner, J. and Young, G.R. (2008), Forensic Accounting, McGraw-Hill/Irwin, New
York, NY.
Houck, M.M., Kranacher, M., Morris, B., Robertson, J. and Wells, J.T. (2006), “Forensic accounting
as an investigative tool”, The CPA Journal, Vol. 76 No. 8, pp. 68-70.
Huber, W.D. (2011), “Forensic accountants, codes of ethics and forensic accounting corporations”,
paper presented to the Southeast Section of the American Accounting Corporation, Destin, FL,
26 March.
Huber, W.D. and DiGabrielle, J.A. (2014), “Research in forensic accounting – What matters?”,
Journal of Theoretical Accounting Research, Vol. 10 No. 1, pp. 40-70.
ICAN (2005), Nigerian Standards on Auditing (NSA) No. 5: The Auditor’s Responsibility to
Consider Fraud in an Audit of Financial Statements, Institute of Chartered Accountants of
Nigeria (ICAN). Lagos.
ICAN (2010), The Institute of Chartered Accountants of Nigeria Public Sector Accounting Study
Pack, VI Publishers, Lagos.
IFAC (2006a), International Accounting Education Standard Board (IES 8, 2006), Competence
Requirements for Audit Professionals. International Federation of Accountants, IFAC, New York,
NY.
IFAC (2006b), International Framework for Assurance Engagements, IFAC, New York, NY.
IFAC (2009a), International Standard on Auditing (ISA) No. 700: Forming an Opinion and
Reporting on Financial Statements, IFAC, New York, NY.
IFAC (2009b), International Standard on Auditing (ISA) No. 200: Overall Objectives of the
Independent Auditor and the Conduct of an Audit in Accordance with International
Standards on Auditing, IFAC, New York, NY.
Jamal, K. (2008), “Mandatory audit of fnancial reporting: a failed strategy for dealing with fraud”,
Accounting Perspectives, Vol. 7 No. 2, pp. 97-110.
95
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Joyce, E. and Biddle, G. (1981), “Anchoring and adjustment in probabilistic inference in auditing”,
Journal of Accounting Research, Vol. 19 No. 1, pp. 120-145.
Kadous, K. and Sedor, L. (2004), “The effcacy of third-party consultation in preventing
managerial escalation of commitment: the role of mental representations”, Contemporary
Accounting Research, Vol. 21 No. 1, pp. 55-82.
Kleinman, G. and Palmon, D. (2007), “Ability, cognitive fallibility, procedural instrumentality and
audit group judgment: an exploration”, Working Paper, Touro College.
Kline, R.B. (2005), Principles and Practice of Structural Equation Modelling, 2nd ed., The Guilford
Press, New York, NY.
Knapp, C.A. and Knapp, M.C. (2001), “The effects of experience and explicit fraud risk assessment
in detecting fraud with analytical procedures”, Accounting, Organizations and Society,
Vol. 26 No. 1, pp. 25-37.
Koonce, L. (1993), “Acognitive characterization of audit analytical review”, Auditing: AJournal of
Practice and Theory, Vol. 12 No. 2, pp. 57-76.
Lamorde, I. (2012), “Nigeria: more boost for corruption”, paper presentation on the EFCC Budget
Defence at the Senate Chamber, Federal Republic of Nigeria, Vanguard Newspaper, 27
November.
Olumide, O. (2012), “KPMG Nigeria: Africa fraud barometer result”, This Day Newspaper, 23
November.
Owens, D.R. (2012), Fraud Risk Assessment Practices and Corporate Governance, Schneider
Downs & Co., Inc., Columbus, OH, available at: www.schneiderdowns.com/UserFiles/File/
PDF/Fraud
Pallant, J. (2010), SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS,
4th ed., McGraw Hill, New York, NY.
PCAOB (2004), Standing Advisory Group Meeting: Financial Fraud (8-9 September), Public
Company Accounting Oversight Board, Washington, DC, available at: www.pcaobus.org/
Standards/Standing_Advisory_Group/Meetings/2004/09-08/Fraud.pdf (accessed 20
November 2008).
PCAOB (2008), “Public company accounting oversight board”, Standing Advisory Group,
available at: www.pcaobus.org/Standards/Standing_Advisory_Group/index.aspx
(accessed 2 December 2008).
Pichert, J.W. and Anderson, R.C. (1977), “Taking different perspectives on a story”, Journal of
Educational Psychology, Vol. 69 No. 4, pp. 309-315.
Pitz, G.P. and Sachs, N.J. (1984), “Judgment and decision: theory and application”, Annual Review
of Psychology, Vol. 35, pp. 139-163, doi: 10.1146/annurev.ps.35.020184.001035
POB (2000), Panel on Audit Effectiveness Report and Recommendations, Public Oversight Board,
Stamford, CT.
Popoola, O.M.J. (2014), “Forensic accountants, auditors and fraud: capability and competence
requirements in the Nigerian public sector”, A thesis submitted to the Othman Yeop
Abdullah Graduate School of Business, Universiti Utara Malaysia, in fulfllment of the
requirement for the Degree of Doctor of Philosophy, Malaysia.
Popoola, O.M.J., Ahmad, A.C. and Samsudin, R.S. (2013a), “Forensic accounting knowledge and
skills on task performance fraud risk assessment: Nigerian public sector experience”,
Conference Proceedings, Okinawa.
Popoola, O.M.J., Ahmad, A.C., Samsudin, R.S. and Hartini, A. (2013b), “Task performance fraud
risk assessment on forensic accountant knowledge and mindset in Nigerian public sector”,
Conference Proceedings, Seoul.
ARJ
28,1
96
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
Ramaswamy, V. (2005), “Corporate governance and the forensic accountant”, The CPA Journal,
Vol. 75, No. 3, pp. 69-70.
Ramaswamy, V. (2007), “New frontiers: training forensic accountants within the accounting
program”, Journal of College Teaching & Learning, Vol. 4 No. 9.
Remenyi, D., Williams, B., Money, A. and Swartz, E. (1998), Doing Research in Business and
Management: An Introduction to Process and Method. Sage Publication, London.
Singleton, T.W., Singleton, A.J., Bologna, G.J. and Lindquist, R.J. (2006), Fraud Auditing and
Forensic Accounting, 3rd ed., Hoboken, NJ: John Wiley and Sons.
Stone, M. (1974), “Cross-validatory choice and assessment of statistical predictions”, Journal of the
Royal Statistical Society, Vol. 36 No. 2, pp. 111-147.
Torelli, C.J. and. Kaikati, A.M. (2009), “Values as predictors of judgments and behaviors: the role
of abstract and concrete mindsets”, Journal of Personality and Social Psychology, Vol. 96
No. 1, pp. 231-247.
Ugwu, C. (2012), “Nigeria: court remands two in EFCC custody for alleged N14.6 million fraud”,
Leadership, 26 November.
Wells, J.T. (2005), “Accountants need help fghting the war on fraud; ACFE founder urges
antifraud Education Press Release], from the Association of Certifed Fraud Examiner”,
available at: wwwacfe.om/about/press-release.asp?cpy?10-12-2005 (accessed 13
November 2012).
Wuerges, A. (2011), “Auditors’ responsibility for fraud detection: new wine in old bottles?”,
available at: www.scribd.com/doc/63671899/Auditors-Responsibility-for-Fraud-Detection
(accessed 3 November 2012).
Further reading
Preacher, K.J. and Hayes, A.F. (2008), “Asymptotic and resampling strategies for assessing and
comparing indirect effects in multiple mediator models”, Behavior Research Methods,
Vol. 40 No. 3, pp. 879-891.
Corresponding author
Oluwatoyin Muse Johnson Popoola can be contacted at: [email protected]
For instructions on how to order reprints of this article, please visit our website:
www.emeraldgrouppublishing.com/licensing/reprints.htm
Or contact us for further details: [email protected]
97
Fraudrisk
assessment and
knowledge
requirement
D
o
w
n
l
o
a
d
e
d
b
y
P
O
N
D
I
C
H
E
R
R
Y
U
N
I
V
E
R
S
I
T
Y
A
t
2
1
:
2
1
2
4
J
a
n
u
a
r
y
2
0
1
6
(
P
T
)
doc_191099293.pdf