PART I: INTRODUCTION
1. The Role of Business Research
The Nature of Business research, Business research Defined, Applied and Basic Business research,
The Scientific Method, Managerial value of Business research, Identifying problems or Opportunities,
selecting and implementing a Course of Action, Evaluating the Course of Action
2. Theory Building
Theory building: what a Theory? What are the Goals of Theory? Research Concept, Constructs,
propositions, Variables, and Hypotheses Tactical value of Theories, Deductive and Inductive
Reasoning Understand the scientific method.
3. The Business Research Process: An Overview
Decision making, Certainty, uncertainty, Ambiguity, Types of Business Research, Descriptive
Research, Exploratory Research, Stages in the Research process, Alternatives in the Research process,
Defining the Research Objectives, Sampling, Gathering Data, processing and Analyzing Data,
Drawing Conclusions and preparing a Report
4. The Human Side of Business Research: Organizational and Ethical Issues
Organizational Structure of Business research, Research Jobs, The Director of Research as a
Manager, Sources of Conflict between senior management and Research, Reducing the Conflict
between management and Researchers, Ethical issues in Business Research, Ethical Questions are
philosophical Question, General Rights and Obligations of Concerned parties, Rights and Obligations
of the Researcher to participant, Rights and Obligations of the Client sponsor privacy.
PART II: BEGINNING STAGES OF THE RESESRCH PROCESS
5. Problem Definition: The Foundation of Business Research
Importance of Starting with a Good problem, Definition, The Problem- Definition process, The
Problem- Definition process Steps, The Research proposal, The Research proposal as a planning
Tool, The proposal as a Contract.
6. Qualitative Research Tools
What is Qualitative Research? Uses Qualitative Research Qualitative âversusâ Quantitative Research,
Contrasting Qualitative and Quantitative Methods, Contrasting Exploratory and Confirmatory
Research, Orientations to Qualitative Research, Ethnography, and phenomenology.
7. Secondary Data Research in a Digital Age
Advantages of Secondary data, Disadvantages of Secondary data, Typical Objectives for Secondary
data, Research Designs, Model Building. Data Mining, Database Marketing and Customer
Relationship Management, source of Secondary data, sources of Internal and proprietary Data,
External Data: the Distribution system, Information as a product and Its Distribution Channels,
Single- source Data- Integrated Information.
PART II: RESESRCH METHODS FOR COLLECTING PRIMARY DATA
8. Survey Research
Advantages of Survey, Errors in Survey Research. Satisfaction, Administrative Errors, Classifying
Survey Research Methods, Structured/Unstructured and Disguised/Undisguised Questionnaires,
Communicating with Respondents, Interviews, as Interactive Communication, personal Interviews,
Telephone Interviews, Central Location Interviewing, Mail Questionnaires, Self- Administered
Questionnaires, Using Other Forms of Distribution,
9. Observation Methods
Observation in Business Research, The Nature of Observation studies, Observation of Human
Behavior, Complementary Evidence, Direct Observation, Ethical issues in the Observation of
Humans.
10. Experimental Research,
Creating an Experiment. Designing an Experiment to minimize Experimental Error, Manipulation of
the Independent variable, selection and measurement of the Dependent- Variable, Selection and
Assignment of Test Units, Experimenter bias and Demand Effects, Hawthorne Effect, Reducing
Demand Characteristics. Establishing control, problems Controlling Extraneous Variables, Ethical
Issues in Experimentations, practical Experimental Designs Issues, and Basic versus Factorial
Experimental Designs. Laboratory Experiments, Field Experiments, issues of Experimental Validity,
Internal Validity, External Validity, Classification of External Designs, symbolism for Diagramming
Experimental Designs, Three Examples of Quasi- Experimental Designs, Complex Experimental
Designs.
PART IV: MEASUREMENT CONCEPTS
11. Measurement and Scaling Concepts
Concepts, operational definitions. Levels of Scale Measurement, Mathematical and Statistical
Analysis of Scales, Three Criteria for Good Measurement, Attitudes as Hypothematical Constructs,
importance of Measuring Attitudes, Techniques for measuring Attitudes, Attitude Rating Scales,
Simple Attitude Scale, Category Scales, Method of Summated Ratings: The Likert Scale, Semantic
Differential, Measuring Behavioral Intention, Behavioral Differential, Ranking, paired Comparisons,
Sorting, Other Methods of Attitude Measurement, Selecting a Measurement Scale: Some practical
Decisions, Monadic or Comparative Scale? Positions,
12. Questionnaire Design
Questionnaire Quality and Design: Basic Considerations, Questionnaire Relevancy, Questionnaire
Accuracy, Wording Questions, Guidelines for Constructing Questions, Language , Climate Change,
Traditional Questionnaire, Designing Questionnaire, for Global Markets
PART V: SAMPLING AND FIELDWORK
13. Sampling Design and Procedures
Explain reasons for taking a sample rather than a Complete census, Describe the process of
identifying a target population and selecting a sampling frame, Compare random sampling and
systematic (non sampling) Errors, identify the types of nonprobability sampling, including their
advantages and disadvantages, Summarize the advantages and disadvantages of the various types of
probability samples, Discuss how to choose an appropriate sample design, as well as challenges for
Internet sampling
14. Determination of Sample Size: A Review of Statistical Theory
Understand basic Statistical terminology; Interpret frequency distributions, proportions, and measures
of central tendency and dispersion; distinguish among population, sample, and sampling distributions;
Explain the central-limit theorem; Summarize the use of confidence interval estimates; Discuss major
issues in specifying sample size
15. Fieldwork
Describe the role and Job requirements of fieldworkers; Summarize the skills to cover when training
inexperienced interviewers; list principles of good interviewing; Describe the activities involved in
the management of fieldworkers; Discuss how supervisors can minimize errors in the field.
PART VI: DATA ANALYSIS AND PRESENTATION
16. Data Collection and Analysis of Data :
Editing and coding: Transforming Raw Data into Information, Basic data analysis: descriptive
Statistic, Univariate Statistical Analysis, Bivariate Statistical Analysis: Differences Between Two
Variables, Bivariate Statistical Analysis: Measures of Association, multivariate Statistical Analysis.
17. Research Report
Significance of Report Writing â Different Steps in Writing Report â Layout of the Research Report-
Types of Reports â Oral presentation â mechanics of Writing a Research Report- precautions for
Writing Research Reports.