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

Unit 1 [Book]
Introduction, Meaning, Definition, Importance and Objective of ResearchVIEW
Meaning, Characteristics and Scope of Business ResearchVIEW
Types of Research:
Exploratory ResearchVIEW
Descriptive ResearchVIEW
Casual ResearchVIEW
Qualitative and Quantitative ResearchVIEW
Applied and Basic ResearchVIEW
Research approaches (Induction and Deduction)VIEW
Ethical issues in ResearchVIEW
Steps in Research ProcessVIEW
Research Problem formulation, Criteria of Good Research Problem, Sources of ProblemsVIEW
Selection and Definition of Research ObjectivesVIEW
Unit 2 [Book]
Meaning, Importance and Purpose of Literature ReviewVIEW
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 ReviewVIEW
Analyzing and Synthesizing the LiteratureVIEW
Writing the Literature ReviewVIEW
List of AI Tools used for Literature ReviewVIEW
Benefits of AI Tools in Literature ReviewVIEW
Research gaps and its Types (Concepts only)VIEW
Unit 3 [Book]
Meaning and Components, Objectives, Problems of Research DesignVIEW
Variables, Meaning, Types of Variables (Dependent, Independent, Control, Mediating, Moderating, Extraneous, Numerical and Categorical Variables)VIEW
Types of Research Design:
Exploratory ResearchVIEW
Descriptive ResearchVIEW
Causal ResearchVIEW
Components of Research DesignVIEW
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 SampleVIEW
Types of Sampling: Probability and Non-ProbabilityVIEW
Sampling and Non sampling errorsVIEW
Hypotheses Formulation, Meaning, Characteristics of Hypothesis Basics concepts relating to hypothesis testing, TypesVIEW
Unit 4 [Book]
Data Collection: Meaning, Data Collection TechniquesVIEW
Primary and Secondary Data: Meaning, Sources, and DifferencesVIEW
Methods of Primary Data Collection: Observation, Interview, Questionnaire, and SurveyVIEW
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 ArchivesVIEW
Errors in Data CollectionVIEW
AI-Powered Tools for Data Collection: Chatbots and Smart Surveys, Google Forms, Typeform, KoboToolboxVIEW
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 analysisVIEW
Classification and Tabulation (Concepts only)VIEW
Types of Data Analysis: Descriptive, Inferential, Qualitative, QuantitativeVIEW
Basic descriptive tools in Excel or SPSS:
MeanVIEW
MedianVIEW
ModeVIEW
Standard DeviationVIEW
Graphical Representations using Excel/SPSS Bar Charts, Pie Charts, HistogramsVIEW
Introduction to AI tools for analysis: ChatGPT (for qualitative summaries), MonkeyLearn, Orange Data MiningVIEW
Report Writing, Meaning and Purpose of Report WritingVIEW
Types of Research ReportsVIEW
Report Sections: Abstract, Introduction, Methodology, Data Analysis, ConclusionVIEW
Writing Bibliography: APA and MLA format BibliographyVIEW

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