netrashetty
Netra Shetty
Arctic Cat (NASDAQ: ACAT) is a North American manufacturer of snowmobiles and all-terrain vehicles. The company was formed in 1960 is based in Thief River Falls, MN.
Key variables and Instruments to be used
As discussed previously, this research study aimed to assess the perspective of Mobile Phone Service Company in accordance to global integration. With respect to this, this paper will consider the following Key Variables:
Dependent Variable
1. Integration effectiveness – Integration effectiveness will be measured on a five-point scale ranging from 'strongly agree' to 'strongly disagree' by asking how effective in general the use of integrating modes was in globally coordinating and controlling the chosen function.
Independent Variables
2. Marketing performance – Similarly, a five-point Likert scale ranging from 'strongly agree' to 'strongly disagree' will be use to measure marketing performance by asking the current stance of marketing approaches performed by Mobile Phone Service Company.
3. Business management performance – This variable will be considered using a five-point scale ranging from 'strongly agree' to 'strongly disagree' by asking the current stance of overall business management approach performed by Mobile Phone Service Company.
Basically, the subjects needed to fill out the survey questionnaires. As indicated in the paper of Barnett (1991), the subjects will grade each statement in the survey-questionnaire using a Likert scale. These Likert scale will be consisted of with a five-response scale.
The corresponding values for responses will be:
Values Interpretation
4.50 – 5.00 Highly Satisfactory
3.50 – 4.49 Satisfactory
2.50 – 3.49 Uncertain
1.50 – 2.49 Unsatisfactory
0.00 – 1.49 Highly Unsatisfactory
The researcher selected the questionnaire as a tool because it is easy to construct and followed by the respondents. Aside from this, the copies of the questionnaire could get in to a significant number of respondents either by personal distribution or by mail. In general, the responses to a questionnaire are standardised and objectified and these could make tabulation simple. But the most important is that the respondents’ responses are of their own free will since there is no interviewer to pressure them. This is one way to avoid biases, mostly the interviewers’ bias. The researcher will also use charts and figures for data presentation.
Samples
The overall sample for this study is composed 30 administrative staff of Mobile Phone Service Company. Actually, these respondents are asked regarding the current status of global integration and the current stance of Mobile Phone Service Company in global market and their individual views about it.
In the paper of Guilford, J.P. & B. Fruchter (1973), they advised to the formula of Slovin in choosing sample sizes. Therefore, the sample size of the population in this paper will be determined by the formula of Slovin. The Slovin’s formula is given as follows:
Where:
n = a sample size
N= population size
e= desired margin of error (percent allowance for non-precision because of the use of the sample instead of the population).
Research Methods and Data Collection
The research described in this document is partly based on quantitative research methods. This permits a flexible and iterative approach. During data gathering the choice and design of methods are constantly modified, based on ongoing analysis. This allows investigation of important new issues and questions as they arise, and allows the investigators to drop unproductive areas of research from the original research plan.
And since this study intends to investigate the current stance of the perspective of Mobile Phone Service Company regarding global integration, then this study will survey 30 administrative staff in the said business regarding the effect of global integration. For this study, primary research and secondary research will be used. Moreover, the descriptive research method will be utilised. In this method, it is possible that the study would be cheap and quick. It could also suggest unanticipated hypotheses. Nonetheless, it would be very hard to rule out alternative explanations and especially infer causations. Thus, this study will use the descriptive approach. This descriptive type of research utilises observations in the study. To illustrate the descriptive type of research, Creswell (1994) guided the researcher when he stated: Descriptive method of research is to gather information about the present existing condition.
For primary research, the researcher will be conducting surveys to 30 administrative staff. At this point, the questionnaires will be used to gather quantitative data. On the other hand, secondary data will be based from the recent literatures related to global integration, marketing and business management.
As indicated previously, this paper will initially base its findings through quantitative research methods because this allows iterative and flexible approach. All throughout of data collection the choice and design of methods are persistently modified, based on partial analysis.
Data Analysis Procedures
In global integration context, there are some instances that the used were classified on the basis of intervals of time constitute vital information in the control of business activity, since this the most effective method of showing the changes that are taking place in the business, an industry or in total economic activity. Closely related to the problem of measuring changes in business activity is the making of forecast of future activity. The management of operation requires a continual making of decisions regarding the future and the basis for such forecasts is the record of the past performance.
Data on debt, sales, income, assets, economic indicators or even firm valuation are important in determining the possible future of a certain business. The said data are of interests chiefly in order that the figures for one period maybe compared with similar figures for other figures.
When observations of this kind are arranged in a time sequence and separated by (or represent) more or less regular intervals of time (months, years, decades, etc.), the progression of values is known as a time series. The concept of trend in economic time series rests in large part upon the secular growth of population, capital and resources.
In addition, it would be very helpful in the application of business cycles to business forecasting if we knew, more completely than we do the causes of the different characteristic lengths of the different industry cycles. The vast amount of study that has been devoted to the theory and behaviour of business cycles over the past 30 years has been directed mainly to the discovery of the causes of periodic behaviour of the general business cycle. These studies have been designed to show why there is a periodic movement of some regularity instead of long, slow, and random periods of increase and decrease, in other words, why a fairly regular cyclical fluctuation of business activity is superimposed on the long-term growth or decline in the level of business or why these periodic increases and decreases in activity appear to be self-generating and cumulative. Booms seem to feed on themselves and then destroy themselves.
Apparently, all these changes--trend, seasonal variation, and cycle--can be explained as fluctuations of the rate of spending. The causes of business change are as numerous and as varied as the causes of the variations of the rate of spending. Broadly considered, business cycles are caused, just as other changes in business activity are caused, by changes in the effective demand for goods and services of various kinds, by the three groups of spenders--consumers, business firms, and government bodies. At times, effective demand is so large and so persistent that capacity to business fluctuations touches the periodicity or regularity of recurring movements. For these different periodic characteristics of different industries we have no adequate and satisfactory explanation, and it is these characteristics of different periodic industry cycles which possess the most interest for the business forecaster. It is necessary, as in so many other fields of experimental, empirical knowledge, for the forecaster to use the behaviour of cycles to predict the future whether or not he fully understands the causes of the behaviour we uses. From these details of the behaviour of data, this study will consider collection of information from the staff of mobile phone service companies.
To gather pertinent data, this study will be using survey questionnaires. Particularly, the study arranges to distribute the questionnaires to the mobile phone service companies. In addition, the researcher will also consider the previous studies and contrast it to its existing data in order to give conclusions and proficient recommendations. In accordance to this, the use of IPO model will be considered to give study direction. A process is versioned as a sequence of boxes (processing elements) linked by inputs and outputs. Information or material objects flow in the course of a sequence of activities based on a set of rules or pronouncement points (Harris & Taylor, 1997). Harris & Taylor, (1997) pointed out that flow charts and process diagrams are often used to signify the process. What goes in is the input; what causes the change is the process; what comes out is the output. (Armstrong, 2001) Figure 1.1 illustrates the basic IPO model:
Key variables and Instruments to be used
As discussed previously, this research study aimed to assess the perspective of Mobile Phone Service Company in accordance to global integration. With respect to this, this paper will consider the following Key Variables:
Dependent Variable
1. Integration effectiveness – Integration effectiveness will be measured on a five-point scale ranging from 'strongly agree' to 'strongly disagree' by asking how effective in general the use of integrating modes was in globally coordinating and controlling the chosen function.
Independent Variables
2. Marketing performance – Similarly, a five-point Likert scale ranging from 'strongly agree' to 'strongly disagree' will be use to measure marketing performance by asking the current stance of marketing approaches performed by Mobile Phone Service Company.
3. Business management performance – This variable will be considered using a five-point scale ranging from 'strongly agree' to 'strongly disagree' by asking the current stance of overall business management approach performed by Mobile Phone Service Company.
Basically, the subjects needed to fill out the survey questionnaires. As indicated in the paper of Barnett (1991), the subjects will grade each statement in the survey-questionnaire using a Likert scale. These Likert scale will be consisted of with a five-response scale.
The corresponding values for responses will be:
Values Interpretation
4.50 – 5.00 Highly Satisfactory
3.50 – 4.49 Satisfactory
2.50 – 3.49 Uncertain
1.50 – 2.49 Unsatisfactory
0.00 – 1.49 Highly Unsatisfactory
The researcher selected the questionnaire as a tool because it is easy to construct and followed by the respondents. Aside from this, the copies of the questionnaire could get in to a significant number of respondents either by personal distribution or by mail. In general, the responses to a questionnaire are standardised and objectified and these could make tabulation simple. But the most important is that the respondents’ responses are of their own free will since there is no interviewer to pressure them. This is one way to avoid biases, mostly the interviewers’ bias. The researcher will also use charts and figures for data presentation.
Samples
The overall sample for this study is composed 30 administrative staff of Mobile Phone Service Company. Actually, these respondents are asked regarding the current status of global integration and the current stance of Mobile Phone Service Company in global market and their individual views about it.
In the paper of Guilford, J.P. & B. Fruchter (1973), they advised to the formula of Slovin in choosing sample sizes. Therefore, the sample size of the population in this paper will be determined by the formula of Slovin. The Slovin’s formula is given as follows:
Where:
n = a sample size
N= population size
e= desired margin of error (percent allowance for non-precision because of the use of the sample instead of the population).
Research Methods and Data Collection
The research described in this document is partly based on quantitative research methods. This permits a flexible and iterative approach. During data gathering the choice and design of methods are constantly modified, based on ongoing analysis. This allows investigation of important new issues and questions as they arise, and allows the investigators to drop unproductive areas of research from the original research plan.
And since this study intends to investigate the current stance of the perspective of Mobile Phone Service Company regarding global integration, then this study will survey 30 administrative staff in the said business regarding the effect of global integration. For this study, primary research and secondary research will be used. Moreover, the descriptive research method will be utilised. In this method, it is possible that the study would be cheap and quick. It could also suggest unanticipated hypotheses. Nonetheless, it would be very hard to rule out alternative explanations and especially infer causations. Thus, this study will use the descriptive approach. This descriptive type of research utilises observations in the study. To illustrate the descriptive type of research, Creswell (1994) guided the researcher when he stated: Descriptive method of research is to gather information about the present existing condition.
For primary research, the researcher will be conducting surveys to 30 administrative staff. At this point, the questionnaires will be used to gather quantitative data. On the other hand, secondary data will be based from the recent literatures related to global integration, marketing and business management.
As indicated previously, this paper will initially base its findings through quantitative research methods because this allows iterative and flexible approach. All throughout of data collection the choice and design of methods are persistently modified, based on partial analysis.
Data Analysis Procedures
In global integration context, there are some instances that the used were classified on the basis of intervals of time constitute vital information in the control of business activity, since this the most effective method of showing the changes that are taking place in the business, an industry or in total economic activity. Closely related to the problem of measuring changes in business activity is the making of forecast of future activity. The management of operation requires a continual making of decisions regarding the future and the basis for such forecasts is the record of the past performance.
Data on debt, sales, income, assets, economic indicators or even firm valuation are important in determining the possible future of a certain business. The said data are of interests chiefly in order that the figures for one period maybe compared with similar figures for other figures.
When observations of this kind are arranged in a time sequence and separated by (or represent) more or less regular intervals of time (months, years, decades, etc.), the progression of values is known as a time series. The concept of trend in economic time series rests in large part upon the secular growth of population, capital and resources.
In addition, it would be very helpful in the application of business cycles to business forecasting if we knew, more completely than we do the causes of the different characteristic lengths of the different industry cycles. The vast amount of study that has been devoted to the theory and behaviour of business cycles over the past 30 years has been directed mainly to the discovery of the causes of periodic behaviour of the general business cycle. These studies have been designed to show why there is a periodic movement of some regularity instead of long, slow, and random periods of increase and decrease, in other words, why a fairly regular cyclical fluctuation of business activity is superimposed on the long-term growth or decline in the level of business or why these periodic increases and decreases in activity appear to be self-generating and cumulative. Booms seem to feed on themselves and then destroy themselves.
Apparently, all these changes--trend, seasonal variation, and cycle--can be explained as fluctuations of the rate of spending. The causes of business change are as numerous and as varied as the causes of the variations of the rate of spending. Broadly considered, business cycles are caused, just as other changes in business activity are caused, by changes in the effective demand for goods and services of various kinds, by the three groups of spenders--consumers, business firms, and government bodies. At times, effective demand is so large and so persistent that capacity to business fluctuations touches the periodicity or regularity of recurring movements. For these different periodic characteristics of different industries we have no adequate and satisfactory explanation, and it is these characteristics of different periodic industry cycles which possess the most interest for the business forecaster. It is necessary, as in so many other fields of experimental, empirical knowledge, for the forecaster to use the behaviour of cycles to predict the future whether or not he fully understands the causes of the behaviour we uses. From these details of the behaviour of data, this study will consider collection of information from the staff of mobile phone service companies.
To gather pertinent data, this study will be using survey questionnaires. Particularly, the study arranges to distribute the questionnaires to the mobile phone service companies. In addition, the researcher will also consider the previous studies and contrast it to its existing data in order to give conclusions and proficient recommendations. In accordance to this, the use of IPO model will be considered to give study direction. A process is versioned as a sequence of boxes (processing elements) linked by inputs and outputs. Information or material objects flow in the course of a sequence of activities based on a set of rules or pronouncement points (Harris & Taylor, 1997). Harris & Taylor, (1997) pointed out that flow charts and process diagrams are often used to signify the process. What goes in is the input; what causes the change is the process; what comes out is the output. (Armstrong, 2001) Figure 1.1 illustrates the basic IPO model: