Business Research Methodology 4th Semester BU BBA SEP 2024-25 Notes

Unit 1 [Book]
Introduction, Meaning, Definition, Importance and Objective of Research VIEW
Meaning, Characteristics and Scope of Business Research VIEW
Types of Research:
Exploratory Research VIEW
Descriptive Research VIEW
Casual Research VIEW
Qualitative and Quantitative Research VIEW
Applied and Basic Research VIEW
Research approaches (Induction and Deduction) VIEW
Ethical issues in Research VIEW
Steps in Research Process VIEW
Research Problem formulation, Criteria of Good Research Problem, Sources of Problems VIEW
Selection and Definition of Research Objectives VIEW
Unit 2 [Book]
Meaning, Importance and Purpose of Literature Review VIEW
Types of Literature Review (Narrative review, Systematic review, Meta-analysis, Scoping review) VIEW
Sources of Literature (Primary, Secondary, Tertiary and Digital Sources) VIEW
Steps in Conducting Literature Review VIEW
Analyzing and Synthesizing the Literature VIEW
Writing the Literature Review VIEW
List of AI Tools used for Literature Review VIEW
Benefits of AI Tools in Literature Review VIEW
Research gaps and its Types (Concepts only) VIEW
Unit 3 [Book]
Meaning and Components, Objectives, Problems of Research Design VIEW
Variables, Meaning, Types of Variables (Dependent, Independent, Control, Mediating, Moderating, Extraneous, Numerical and Categorical Variables) VIEW
Types of Research Design:
Exploratory Research VIEW
Descriptive Research VIEW
Causal Research VIEW
Components of Research Design VIEW
Meaning of Variable, Types of Variables (Dependent, Independent, Discrete, Continuous, Extraneous Control, Mediating, Moderating, Numerical, Categorical) VIEW
Sampling: Meaning, Sampling Frame, Sampling Error, Sample size, Characteristics of a good Sample VIEW
Types of Sampling: Probability and Non-Probability VIEW
Sampling and Non sampling errors VIEW
Hypotheses Formulation, Meaning, Characteristics of Hypothesis Basics concepts relating to hypothesis testing, Types VIEW
Unit 4 [Book]
Data Collection: Meaning, Data Collection Techniques VIEW
Primary and Secondary Data: Meaning, Sources, and Differences VIEW
Methods of Primary Data Collection: Observation, Interview, Questionnaire, and Survey VIEW
Methods of Secondary Data Collection (Existing datasets, Literature, reports, Journals) VIEW
Secondary Data Collection Government Portals (MOSPI, RBI, SEBI) VIEW
Secondary Data Collection Reports (CMIE, ASSOCHAM, FICCI), Journals, News Archives VIEW
Errors in Data Collection VIEW
AI-Powered Tools for Data Collection: Chatbots and Smart Surveys, Google Forms, Typeform, KoboToolbox VIEW
Hypothesis Testing: Steps involved in testing of hypothesis- Level of significance- Chi Square Test- T-Test- Z-Test- Using Excel/SPSS. VIEW
Unit 5 [Book]
Meaning, Steps in data analysis VIEW
Classification and Tabulation (Concepts only) VIEW
Types of Data Analysis: Descriptive, Inferential, Qualitative, Quantitative VIEW
Basic descriptive tools in Excel or SPSS:
Mean VIEW
Median VIEW
Mode VIEW
Standard Deviation VIEW
Graphical Representations using Excel/SPSS Bar Charts, Pie Charts, Histograms VIEW
Introduction to AI tools for analysis: ChatGPT (for qualitative summaries), MonkeyLearn, Orange Data Mining VIEW
Report Writing, Meaning and Purpose of Report Writing VIEW
Types of Research Reports VIEW
Report Sections: Abstract, Introduction, Methodology, Data Analysis, Conclusion VIEW
Writing Bibliography: APA and MLA format Bibliography VIEW

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