We have great pleasure in presenting First edition “Management Research Methods” written for students of PG courses. The related matters are written in a simple and easily understandable.
This volume is an attempt to provide the students with thorough understanding of Management Research Methods. We have presented the subject matter in a systematic manner with liberal use of charts and diagrams where ever necessary so as to make it interesting and sustain students’ interest.
Contents –
Module – 1 Business Research
Introduction
Meaning of Business Research
Objectives of Business Research
Purpose of Business Research
Types of Business Research
Scope of Business Research
Significance of Research in Business and Industry
Criteria for Good Research
Ethics in Research
Research Process
Steps in Research
Identification and Formulation of Research Problem
Extensive Literature Review
Research Gap
Statement of the Problem
Need for the Study
Variables
Meaning of Variables
Types of Variables
Theoretical Framework
Research Questions
Deductive and Inductive Logic
Review Questions
Module – 2 Formulation of Research Problem and Hypotheses
Introduction
Identifying and Formulating Research Problem
Diagnosis of Symptoms and Problem
Setting Research Objectives
Doing Review of Literature
Purpose of Review of Literature
Methods of Review of Literature
Hypothesis
Meaning of Hypothesis
Purpose of Hypothesis
Sources of Hypothesis
Characteristics of Hypotheses
Types of Hypotheses
Formulation of Hypothesis
Review Questions
Module – 3 Measurement and Data Collection Concepts
Introduction
Sample Design
Steps in Sampling Process
Sampling Methods
Probability Sampling
Non-Probability Sampling,
Sampling Error
Criteria for Good Sample
Determining Sample Size
Measurement
Types of Scales
Scaling Techniques
Meaning of Primary and Secondary Data
Primary Data Collection Methods
Observations
Survey
Interview
Questionnaire
Qualitative Techniques of Data Collection
Questionnaire Design
Meaning
Process of Designing Questionnaire
Secondary Data
Sources of Secondary Data
Advantages of Secondary Data
Disadvantages of Secondary Data
Measurement and Scaling Techniques
Basic Measurement Scales
Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale
Attitude Measurement Scale
Likert’s Scale
Semantic Differential Scale
Thurstone Scale
Multi-Dimensional Scaling
Case Study as per the Chapter Needs
Review Questions
Module – 4 Data Analysis
Introduction
Data Processing
Editing
Coding
Tabulation
Normality and Stationary Test
Pictorial and Graphical Presentation of Data
Parametric and Non-parametric Hypothesis Testing
Hypothesis Testing using Statistical Tools Such as
Descriptive Statistics
Chi–square
T-test
ANOVA
Correlation
Regression
Review Questions
Module – 5 Report Writing and Presentation of Results
Introduction
Classification of Report Writing
Tabulation
Research Presentation
Types of Report
Research Proposal
Research Report
Format of a Report
Layout
Precautions
Citation and Referencing
Review Questions
Module – 6 Introduction and Application to Business Analytics
Introduction
Data
Information
Intelligence
Knowledge Approach
Types of Analytics
Types of Digital Data
Sources of Data
Importance of Data Quality
Looking at Data from Many Perspectives
Evolution of Business Analytics
Business Analytics Process
Business Analytics Architecture and Framework
Analytics in Business Support Functions
Analytics in Industries
Sports Analytics
Social Media Analytics
Social Networking Analytics
Recommendation Systems
Review Questions
