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Concept of Research and Types of Research

Why should a commerce student care about research? 

Because every data point, every decision, every policy starts with a question. Research is the structured process of answering it.

Unit 5: Business Statistics and Research Methods

Meaning and Importance of Research in Commerce

Research in commerce refers to a systematic and logical investigation into issues and problems, leading to new insights. It's the backbone of decision-making in business, finance, marketing, and policy formulation.

  • Decision Making: From market trends to consumer behavior, research shapes commercial decisions.
  • Policy Formulation: Governments and institutions rely on commercial research to regulate markets.
  • Academic Relevance: For UGC NET aspirants, understanding types of research helps in paper 1 and subject-specific paper 2.

Objectives of Research

Not all research has the same purpose. Some aim to build theory, others aim to solve immediate business problems.

  • To explore new phenomena or patterns
  • To describe characteristics or functions
  • To establish causal relationships
  • To test hypotheses
  • To offer practical business solutions

Classification of Research

a. Fundamental vs. Applied Research

  • Fundamental Research: Pure or basic research that seeks to add to theoretical knowledge. Example: Understanding why consumers behave irrationally.
  • Applied Research: Practical and problem-solving in nature. Example: Testing a new marketing strategy for a product launch.

b. Descriptive, Analytical, Exploratory, and Causal

  • Descriptive: Attempts to describe characteristics of a group or situation. e.g., market demographics.
  • Analytical: Uses facts or information already available to make a critical evaluation.
  • Exploratory: Preliminary research to clarify concepts or understand patterns. Often qualitative.
  • Causal (Explanatory): Seeks to identify cause-effect relationships. Uses hypothesis testing.

c. Qualitative vs. Quantitative

Aspect Qualitative Quantitative
Data Type Non-numeric (text, visuals, themes) Numeric (numbers, statistics)
Objective Explore meanings, patterns Test hypotheses, measure variables
Tools Interviews, observations, content analysis Surveys, experiments, statistical modeling

Use-Cases

  • In Marketing: Exploratory research helps launch a new product. Quantitative data drives segmentation.
  • In Finance: Analytical research models risk using historical data.

Conclusion:

Research isn't just for scientists or scholars. In commerce, it's a tool for clarity, control, and competitiveness. So, next time you make a claim, ask: was it backed by research?

Reflect on this: Are you approaching your UGC NET preparation as a researcher? Asking questions? Seeking patterns? Start now.

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