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Internet Shopping Individualism

The paper explores the affect of two national culture dimensions, as proposed by Hofstede (1980) , individualism-collectivism and uncertainty avoidance on internet shopping rates in different regions over a wide range of countries using explained variance and combined variance by factors like national income level, educational level, economic growth rate, unemployment rate and crime rate. Also the relationship between these two factors and whether / how they have an affect on each other as well shall be studied. Lastly the implications for national and internet firm-level web design strategies are also looked into.

Research Objective

Ignoring the set of contextual factors it is seen that the afore mentioned cultural dimensions i.e. individualism-collectivism and uncertainty avoidance affect the internet shopping behavior and the resultant usage rate in various countries primarily because of the immense role trust plays in the readiness to have faith in the invisible online suppliers. The objectives of this study are:

Problem Statement

To what extent do conceptual and contextual dimensions, co relate with cultural variances? To further substantiate the argument we can analyze why the countries with high national income have low internet shopping rates.

Benefits of study

Research Design

The first step would be regarding the collection of the related data for Independent Variables which are Individualism Index (IDV) and Uncertainty Avoidance Index (UAI) which are obtained from Hofstede (1991) data of 50 countries. Data from Taylor Nelson Sofre's report of 36 countries will be merged with 33 countries' data of Hofstede and therefore this research paper will be on the basis of these 33 countries in total.

Five control variables are present; per capita GDP, educational level, unemployment rate, economic growth rate and crime rate. The data on GDP, economic growth rate and unemployment rate will be gathered from World Factbook, The International Monetary Fund (2001)

The data for educational level will be gathered in terms of school enrollment rate which will be obtained from United Nations Organization for Education, Science and Culture, Institute for Statistics' online data base (UNESCO, 2002)

Crime rate will be analyzed in terms of Internet crime which will be collected from the Interpol's website (Interpol, 2003) which has been set up to facilitate cross-border criminal police cooperation and has a number of 181 countries as members. Crime rate will also be analyzed by country and will be taken as the sum of total number of offences contained in national crime statistics in addition to major categories of crime in each of the member countries.

The next step will be the investigation of Dependent Variables which is the Internet shopping adoption rate by country. This variable is defined in terms of internet users who have bought goods or services online during the last month. The population base used is Internet users.

The Quantitative Methods used will be the Linear Regression Model which is used because of the rationale that the effect of Income on Internet percentage rate, both being numerical and quantitative figures, can be reflected accurately through this model. Also scatter plots will be used to reflect the relationship between IDV, UAI and internet shopping rates.

The Qualitative Methods include Document Analysis in which a grant from Research Grants Council, China will be used effectively in addition to many secondary sources of information.

Data Analysis

As mentioned above, linear regression model will be used to test our research objectives. This method will be controlled by a set of contextual factors which will help in controlling and understanding the related factors for analysis purpose, regarding the effects of the two cultural dimensions effectively. A four step hierarchical linear regression model will be put to use to facilitate in the results. This process is four stepped, with each new step a new independent variable shall be combined with the previous ones. The first step consists of income alone, second will consist of educational level, economic growth rate, unemployment rate and crime rate. In the third step, the two dimensions will be added IDV and UAI, and the fourth step will include the interaction term.

As the table illustrates we will first of all analyze the income effect on internet adoption rate and than we will move step by step analyzing the effect and its influences on internet penetration rate in various countries.

Limitations of the study

Following are some of the limitations are research might be facing

Nature and Form of Results:

Finally, once the collection of the data is complete and regression analysis has been performed the results of the research are to be presented graphically, so as to clearly present the results and findings in the shape of tables and graphs. These tables and graphs shall also be explained theoretically for a better explanation of the research. Some examples (dummy) are given below

Independent variable

R² change

F

P-value

step 1:

GDP (income)

Step 2:

Educational level

Economic growth rate

Unemployment rate

Crime rate

Step 3:

Individualism index

Uncertainty avoidance index

Step 4:

Individualism index*Uncertainty avoidance index

Figure # 1 - Dummy table

Budget

The following is a hypothetical budget for the preparation of the research paper:

Data Collection Cost

Rs. 2500

Travelling expenses

Rs. 1500

DSL charges

Rs.2000

Telephone charges

Rs. 1500

 

Schedule

Brainstorming

1 week

Scope & Limitations

1 week

Decision of variables

1 week

Data Collection

1 and a half month

Data Analysis

2 weeks

Consolidating the results

1 week

Total time

9 and a half weeks

Bibliography

Williamson, O.E. (1985) The Economic Institutions of Capitalism, Free Press: New York.

Hirschey, M. and Pappas , L. (1993) Managerial Economics, 7th edition, Harcourt Brace Jovanovich College Publishers: Orlando, FL.

Nielsen/Netratings (2001) ‘Global Internet trends: Europe/ Middle East/Africa/Latin America.

Hofstede, G.H. (1980) Culture's Consequences, Sage: Beverly Hills, CA

Kai H Lim et al, (2004) Journal of International Business Studies 35, 545-559

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