Business Research Method

by | Feb 5, 2022

Business Research Method is the systematic process of collecting, analyzing, and interpreting data to make informed business decisions. It involves using various research techniques and tools to gather and evaluate data, which is then used to make strategic decisions.

Types of Business Research

There are two types of business research – qualitative and quantitative. Qualitative research is exploratory and uses non-numeric data to gain insight into a problem, while quantitative research is numerical and involves analyzing data using statistical methods.

Importance of Business Research

Business research is essential in decision-making, as it helps managers and leaders to make informed and evidence-based decisions. It provides valuable insights into market trends, consumer behavior, and industry best practices, which can be used to develop effective business strategies.

Steps in the Business Research Process

The business research process involves several steps, including defining the research problem, developing a research design, collecting data, analyzing data, and preparing a report. Each step is essential to the overall success of the research.

Techniques for Collecting Data

There are several techniques for collecting data, including surveys, interviews, focus groups, and observation. The choice of data collection technique depends on the research problem, the research design, and the type of data needed.

Attitude Measurement and Scales

Attitude measurement and scales are used to evaluate people’s opinions, beliefs, and attitudes. There are several deterministic and summative models, such as the Guttman scale, Thurstone’s equal-appearing interval scale, the Likert scale, and the Q-sort technique, which can be used to measure attitudes.

Sampling and Sampling Design

Sampling is the process of selecting a representative subset of a population for study. There are several methods of sampling, including simple random sampling, stratified random sampling, and non-probability sampling methods. The choice of sampling method depends on the research problem and the research design.

Data Processing and Statistical Analysis

Data processing involves editing, coding, and classifying data to prepare it for analysis. Statistical analysis involves using mathematical methods to analyze data and test hypotheses. Nonparametric tests, such as one sample, two sample, and k sample tests, are used to test hypotheses.

Ethics in Business Research

Research ethics involve principles and guidelines that ensure that research is conducted ethically and with integrity. There are several steps involved in ethical research, such as obtaining informed consent, protecting participant privacy and confidentiality, and ensuring that the research is conducted in a non-discriminatory manner.

Conclusion

Business research is a crucial tool for MBA students and business professionals. By understanding the business research process, data collection techniques, and statistical analysis, MBA students can make informed and evidence-based decisions that can lead to the success of their organizations.

How useful was this post?

Click on a star to rate it!

Average rating 5 / 5. Vote count: 1

No votes so far! Be the first to rate this post.

We are sorry that this post was not useful for you! 😔

Let us improve this post!

Tell us how we can improve this post?

0 Comments

Submit a Comment

Your email address will not be published. Required fields are marked *

Research Methodology for Management Decisions

1 Research Methodology: An Overview

  1. Meaning of Research
  2. Research Methodology
  3. Research Method
  4. Business Research Method
  5. Types of Research
  6. Importance of business research
  7. Role of research in important areas

2 Steps for Research Process

  1. Research process
  2. Define research problems
  3. Research Problem as Hypothesis Testing
  4. Extensive literature review in research
  5. Development of working hypothesis
  6. Preparing the research design
  7. Collecting the data
  8. Analysis of data
  9. Preparation of the report or the thesis

3 Research Designs

  1. Functions and Goals of Research Design
  2. Characteristics of a Good Design
  3. Different Types of Research Designs
  4. Exploratory Research Design
  5. Descriptive Research Design
  6. Experimental Research Design
  7. Types of Experimental Designs

4 Methods and Techniques of Data Collection

  1. Primary and Secondary Data
  2. Methods of Collecting Primary Data
  3. Merits and Demerits of Different Methods of Collecting Primary Data
  4. Designing a Questionnaire
  5. Pretesting a Questionnaire
  6. Editing of Primary Data
  7. Technique of Interview
  8. Collection of Secondary Data
  9. Scrutiny of Secondary Data

5 Attitude Measurement and Scales

  1. Attitudes, Attributes and Beliefs
  2. Issues in Attitude Measurement
  3. Scaling of Attitudes
  4. Deterministic Attitude Measurement Models: The Guttman Scale
  5. Thurstone’s Equal-Appearing Interval Scale
  6. The Semantic Differential Scale
  7. Summative Models: The Likert Scale
  8. The Q-Sort Technique
  9. Multidimensional Scaling
  10. Selection of an Appropriate Attitude Measurement Scale
  11. Limitations of Attitude Measurement Scales

6 Questionnaire Designing

  1. Introductory decisions
  2. Contents of the questionnaire
  3. Format of the questionnaire
  4. Steps involved in the questionnaire
  5. Structure and Design of Questionnaire
  6. Management of Fieldwork
  7. Ambiguities in the Questionnaire Methods

7 Sampling and Sampling Design

  1. Advantage of Sampling Over Census
  2. Simple Random Sampling
  3. Sampling Frame
  4. Probabilistic As pects of Sampling
  5. Stratified Random Sampling
  6. Other Methods of Sampling
  7. Sampling Design
  8. Non-Probability Sampling Methods

8 Data Processing

  1. Editing of Data
  2. Coding of Data
  3. Classification of Data
  4. Statistical Series
  5. Tables as Data Presentation Devices
  6. Graphical Presentation of Data

9 Statistical Analysis and Interpretation of Data: Nonparametric Tests

  1. One Sample Tests
  2. Two Sample Tests
  3. K Sample Tests

10 Multivariate Analysis of Data

  1. Regression Analysis
  2. Discriminant Analysis
  3. Factor Analysis

11 Ethics in Research

  1. Principles of research ethics
  2. Advantages of research ethics
  3. Limitations of the research ethics
  4. Steps involved in ethics
  5. What are research misconducts?

12 Substance of Reports

  1. Research Proposal
  2. Categories of Report
  3. Reviewing the Draft

13 Formats of Reports

  1. Parts of a Report
  2. Cover and Title Page
  3. Introductory Pages
  4. Main Text
  5. Reference Section
  6. Typing Instructions
  7. Copy Reading
  8. Proof Reading

14 Presentation of a Report

  1. Communication Dimensions
  2. Presentation Package
  3. Audio-Visual Aids
  4. Presenter’s Poise