Business Research Method

Business Research Method Book for MBA 3rd Semester SPPU
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Buy Latest Business Research Method Book for Mba 1st Semester in English language specially designed for SPPU ( Savitribai Phule Pune University ,Maharashtra) By Thakur publication.

Authors : Dr. Aditi Anant Kale, Dr. Rakesh Kumar Bhati,  Dr. Anjum Sayyad
ISBN:- 978-93-88809-81-8

                                                                                                    Syllabus 

MBA 104: BUSINESS RESEARCH METHODS

Unit-1                                                                                                                                                  (6+1)

Foundations of Research: Definition of Research, Need of Business Research, Characteristics of Scientific Research Method, Typical Research Applications in Business and Management. Questions in Research: Formulation of Research Problem – Management Question – Research Question – Investigation Question. The Process of Business Research: Literature Review - Concepts and Theories – Research Questions – Sampling – Data Collection – Data Analysis  – Writing up  – The Iterative Nature of Business Research Process, Elements of a Research Proposal. Practical Considerations: Values – Researcher & Organisation. Ethical Principles - Harm to Participants, Lack of Informed Consent, Invasion of Privacy, Deception, Reciprocity and Trust, Affiliation and Conflicts of Interest. Legal Considerations - Data Management, Copyright.

Unit-2                                                                                                                                                         

Research Design: Concept, Features of a Robust Research Design. Exploratory, Descriptive, Quasi Experimental, Experimental Research Designs, Concept of Cause and Effect, Difference between Correlation and Causation. Types of Variables – Independent, Dependent, Concomitant, Mediating, Moderating, Extraneous Variables, Basic Knowledge of Treatment & Control Group, Case Study Design. Cross-Sectional and Longitudinal Designs, Qualitative and Quantitative Research Approaches, Pros and Cons of Various Designs, Choice of a Research Design. Hypothesis: Definition, Research Hypothesis, Statistical Hypothesis, Null Hypothesis, Alternative Hypothesis, Directional Hypothesis, Non-Directional Hypothesis. Qualities of a Good Hypothesis, Framing Null Hypothesis & Alternative Hypothesis. Concept of Hypothesis Testing - Logic & Importance.                                                                                                                                                    

Unit-3                                                                                                                                                          

Data & Measurement: Meaning of Data, Need for Data. Secondary Data:  Definition, Sources, Characteristics, Advantages and Disadvantages over Primary Data, Quality of Secondary Data - Sufficiency, Adequacy, Reliability and Consistency. Primary Data:  Definition, Advantages and Disadvantages over Secondary Data. Measurement: Concept of Measurement, What is Measured? Problems in Measurement in Management Research – Validity and Reliability, Levels of Measurement – Nominal, Ordinal, Interval, Ratio. Attitude Scaling Techniques: Concept of Scale – Rating Scales viz. Likert Scales, Semantic Differential Scales, Constant Sum Scales, Graphic Rating Scales – Ranking Scales – Paired Comparison & Forced Ranking  – Concept and Application. Questionnaire: Questionnaire Construction - Personal Interviews, Telephonic Survey Interviewing, Online Questionnaire Tools.                                                                   

Unit-4                                                                                                                                                          

Sampling: Basic Concepts: Defining the Universe, Concepts of Statistical Population, Sample, Characteristics of a Good Sample. Sampling Frame, Determining the Sample Frame, Sampling Errors, Non Sampling Errors, Methods to Reduce the Errors, Sample Size Constraints, Non Response. Probability Sample: Simple Random Sample, Systematic Sample, Stratified Random Sample, Area Sampling & Cluster Sampling. Non Probability Sample: Judgment Sampling, Convenience Sampling, Purposive Sampling, Quota Sampling & Snowballing Sampling Methods. Determining Size of the Sample: Practical Considerations in Sampling and Sample size, (sample size determination formulae and numericals not expected)                                                                                                                                                                           

Unit-5                                                                                                                                                         

Data Analysis & Report Writing: Data Analysis: Cleaning of Data, Editing, Coding, Tabular Representation of Data, Frequency Tables, Univariate Analysis – Interpretation of Mean, Median Mode; Standard Deviation, Coefficient of Variation. Graphical Representation of Data: Appropriate Usage of Bar Charts, Pie Charts, Line Charts, Histograms. Bivariate Analysis: Cross Tabulations, Bivariate Correlation Analysis – Meaning & Types of Correlation, Karl Person’s Coefficient of Correlation and Spearman’s Rank Correlation. Chi-square Test Including Testing Hypothesis of Association, Association of Attributes. Linear Regression Analysis: Meaning of Regression, Purpose and Use, Linear Regression; Interpretation of Regression Co-efficient, Applications in Business Scenarios. Test of Significance: Small Sample Tests: t (Mean, Proportion) and F Tests, Z Test. Non-parametric Tests: Binomial Test of Proportion, Randomness Test. Analysis of Variance: One-way and Two-way Classifications. Research Reports:  Structure of Research Report, Report Writing and Presentation.                                       

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