BUSINESS RESEARCH METHODS
ASSIGNMENT 1

Prepare a research proposal based on the following structure: A) INTRODUCTION
i) Research Background
? Discuss the background of the research that will be conducted. The research must be in your area of interest or study. (do not try to solve a country wide problem)
ii) Problem Statement
? Discuss the research problem that will be investigated.. List down the main problems and FOUR (4) related sub-problems. You need to have references from literature (at least 5 references) to support the problems accordingly. This can be from book, journals or conference proceedings.
? Justify why these problems need to be addressed and what are the consequences of not addressing it.
iii) Research Objectives and the Scope of the Research
? What are the objectives of the proposed research? The discussion of the objectives must be addressing the problem. You need to have between 3 to 5 objectives.

? What is the scope of the proposed research? The scope must be realistic and researchable.
[15 marks] B) LITERATURE REVIEW Provide a CRITICAL REVIEW of the literature (at least 25 related literature is required) in the proposed research areas/topics. Take note that literature review is NOT just recitation of previous research. Outline the weakness of previous research (if there are any) and explain how you propose to overcome them in your research. Develop some propositions based on your preliminary findings and observations.

C) THEORETICAL FRAMEWORK Based on the result of your preliminary findings through secondary data analyses, literature review and qualitative research, draw a diagram to identify and show the relationship between the independent, dependent, moderator and/or mediator variables. Students should use proper symbols/arrows when drawing the conceptual framework. Indicate the moderator variables and/or mediator variables if any, by properly locating their position in the diagram. (Please refer to any good academic journal for examples of how this is done).
1. How would you conceptualise variables or elements in the conceptual framework, systems architecture, conceptual model or model?
2. Provide an operational definition for each of the variables or elements.

 

ASSIGNMENT 2 – BMBR5103

1. Research Methodology
? Discuss how the research will be executed to achieve the proposed research objectives. The methodology should be based on the methods that are used in the research area to conduct the research. The methodology selected must be able to achieve the listed research objectives. Please refer to any thesis, journals and conference papers prior to choosing the appropriate methods to conduct the proposed research. Provide at least TWO (2) literatures to justify the selected methods.
? Discuss the study setting – experiment (lab or field) versus survey or case study. This should clearly explain how the research will be conducted
[25 marks]
2. Data Collection / Requirement Gathering Methods
? Discuss about the data collection or requirements gathering methods that will be used to conduct the research.
? Discuss about the sample selection procedure and the sampling framework (if necessary).
? Discuss about the data analysis process and what the proposed analysis methods that would be used are (if necessary).
OR
? Or how the research results will be validated and evaluated (for example the use of benchmarking, data sets, case studies and others)
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Question:

You recently started following Soccer and are deciding which country to follow (other than your own country) in the upcoming FIFA world cup. You decide to use your BRM knowledge and tools to come to a decision that might result in following a country’s team, which has a higher chance of winning the world cup. You get your hands on the FIFA rankings based on points for 30 countries.

A) Download the data set called “FIFA Rankings Data-Extra Credit Homework.xlsx” The first variable is the FIFA ranking points (the higher the points, the better the team). The second variable is the economic factor and the third is labor market factors.

B) You have a proposition that economic factors and labor market factors might contribute to soccer rankings. Can you use your intuition make a prediction about how (positively or negatively) both these variables may be related to soccer rankings? Justify your choice.

C) Build a Multiple Linear Regression Model to confirm the above proposition. Give all the details of the model. (Use Excel’s data analysis toolpak or R to do so)
Make sure you present the following as a part of your solution;

Regression equation

Scatterplot (with and with out the regression line) (extra points for using the

3d plot in R)

ANOVA Table

R sq and adjusted R sq

D) Is your intercept term statistically significant? Are any of your coefficient terms statistically significant?

E) Is the model a good fit to the data? Based on your model, would you decide to follow a country with high GDP and low unemployment rate?

F) Comment on which one of the assumptions of OLS might have been violated.Â
Economy Variable Labour market Variable
GDP per capita unemployment rate
Country FIFA Ranking Points US$ %
Algeria 8 5,438 9.8
Argentina 124 11,766 7.2
Australia 9 64,863 5.2
Belgium 39 45,384 7.5
Brazil 216 11,311 6.9
Cameroon 19 1,271 3.8
Chile 33 15,776 6.4
Colombia 11 8,098 10.4
Costa Rica 10 10,433 7.6
Croatia 20 13,562 15.8
Ecuador 9 5,968 4.5
England 97 39,567 7.9
France 86 43,000 9.9
Germany 199 44,999 5.4
Ghana 14 1,730 3.6
Greece 3 21,857 24.2
Honduras 3 2,323 4.8
Iran 5 4,751 13.1
Italy 153 34,715 10.7
Ivory Coast 7 1,175 4
Japan 15 38,491 4.3
Korea Republic 23 24,329 3.2
Mexico 49 10,630 4.9
Netherlands 76 47,634 5.3
Nigeria 14 1,692 7.5
Portugal 39 20,728 15.6
Russia 57 14,819 5.5
Spain 96 29,150 25.2
Switzerland 33 81,324 4.2
United States 26 53,101 8.1
Uruguay 66 16,609 6

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Question:

You recently started following Soccer and are deciding which country to follow (other than your own country) in the upcoming FIFA world cup. You decide to use your BRM knowledge and tools to come to a decision that might result in following a country’s team, which has a higher chance of winning the world cup. You get your hands on the FIFA rankings based on points for 30 countries.

A) Download the data set called “FIFA Rankings Data-Extra Credit Homework.xlsx” The first variable is the FIFA ranking points (the higher the points, the better the team). The second variable is the economic factor and the third is labor market factors.

B) You have a proposition that economic factors and labor market factors might contribute to soccer rankings. Can you use your intuition make a prediction about how (positively or negatively) both these variables may be related to soccer rankings? Justify your choice.

C) Build a Multiple Linear Regression Model to confirm the above proposition. Give all the details of the model. (Use Excel’s data analysis toolpak or R to do so)
Make sure you present the following as a part of your solution;

Regression equation

Scatterplot (with and with out the regression line) (extra points for using the

3d plot in R)

ANOVA Table

R sq and adjusted R sq

D) Is your intercept term statistically significant? Are any of your coefficient terms statistically significant?

E) Is the model a good fit to the data? Based on your model, would you decide to follow a country with high GDP and low unemployment rate?

F) Comment on which one of the assumptions of OLS might have been violated.Â
Economy Variable Labour market Variable
GDP per capita unemployment rate
Country FIFA Ranking Points US$ %
Algeria 8 5,438 9.8
Argentina 124 11,766 7.2
Australia 9 64,863 5.2
Belgium 39 45,384 7.5
Brazil 216 11,311 6.9
Cameroon 19 1,271 3.8
Chile 33 15,776 6.4
Colombia 11 8,098 10.4
Costa Rica 10 10,433 7.6
Croatia 20 13,562 15.8
Ecuador 9 5,968 4.5
England 97 39,567 7.9
France 86 43,000 9.9
Germany 199 44,999 5.4
Ghana 14 1,730 3.6
Greece 3 21,857 24.2
Honduras 3 2,323 4.8
Iran 5 4,751 13.1
Italy 153 34,715 10.7
Ivory Coast 7 1,175 4
Japan 15 38,491 4.3
Korea Republic 23 24,329 3.2
Mexico 49 10,630 4.9
Netherlands 76 47,634 5.3
Nigeria 14 1,692 7.5
Portugal 39 20,728 15.6
Russia 57 14,819 5.5
Spain 96 29,150 25.2
Switzerland 33 81,324 4.2
United States 26 53,101 8.1
Uruguay 66 16,609 6