This course will enable the students to develop proficiency in crafting robust research methodologies, adeptly gathering and organizing data, and employing advanced analytical techniques to derive meaningful insights.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24CBTM301 |
Business Research (Theory) |
CO91: Explore the concept of research, its classification research procedure. CO92: Formulate research problem and hypothesis & create well- structured research design for a research problem. CO93: Recommend the different sampling techniques. CO94: Select data collection tools and determines scales for data collection. CO95: Specify the techniques of descriptive statistical analysis. CO96: Contribute effectively in course-specific interaction. |
Approach in teaching: Interactive sessions, Case Study Discussion, Tutorials, Reading assignments
Learning activities for the students: Self learning assignments, Classroom Presentations, Project tasks
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Continuous Assessment Test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects |
Nature & Scope of Business Research Definition and concept of research, Objectives of research, Importance of research. Types of
Research- Descriptive vs Analytical, Applied vs Fundamental, Quantitative vs Qualitative, Conceptual
vs Empirical, Historical, Longitudinal Research. Research Approaches, Research Process.
Research Design, Hypothesis and Variables Research Design: Meaning, Need and Characteristics of a good research design. Types of Research
Design, Identification of a Research problem. Selection of a Research problem.
Hypothesis: Purpose, Characteristics, Types and criteria of hypothesis, Process of Hypothesis Testing.
Variables: Meaning and Concept, Types of variables.
Sampling Meaning of Census and Sample. Characteristics of a good Sample, Need for Sample, Methods of
Sampling- Random Sampling Methods- Simple Random Sampling, Stratified Sampling, Systematic
Sampling and Multi-stage Sampling. Non-Random Sampling- Judgment or Purposive Sampling,
Convenience Sampling, Cluster Sampling and Sequential Sampling.
Data Collection, Measurement & Scaling Data Collection: Data gathering instruments: Collection of Data, Primary and Secondary Data,
Methods of collecting data, Sources of Secondary Data Measurement & Scaling: Primary
scales of Measurement -Nominal, Ordinal, Interval & Ratio. Scaling techniques-paired comparison,
rank order, constant sum, semantic differential, itemized ratings, Likert Scale; Questionnaire-form & design
Measures of Central Value and Dispersion Measures of Central Value: Characteristics of an ideal measure- mean median, mode, Merits, Limitations
and Suitability of averages. Relationship between averages.
Measures of Dispersion: Meaning and Significance. Absolute and Relative measures of dispersion –
Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of Variation
Suggested Readings:
E-resources