This document discusses primary and secondary data collection methods for business research. Primary data is collected directly by the researcher, while secondary data is collected by others. Some key advantages of primary data are that it is directly relevant to the research and the researcher controls quality, while secondary data advantages are lower cost and quicker collection. The document then discusses various secondary data sources and methods for collecting primary data, including observation, interviews, questionnaires, and case studies. It also covers issues like non-response and how to minimize it in primary data collection.

1. Business Research
Data Collection

3. Primary and Secondary data
• The primary data are those which are
collected afresh and for the first time.
• Secondary data refers to the data collected
by someone other than the researcher
using the data.

5. Primary Data Secondary Data
Original DataCollector The researcher Someone else
Qualitative/ Quantitative Can be either Can be either
Purpose of data collection Specific to the research For a some other purpose
being carried out not specific to research
Key Advantages Datais relevant and quality Less expensive and quicker
is high. datacollection
Key Disadvantages Usually more expensive Datacan be outdated,
and takes longer irrelevant and not
adequate for research.

7. Secondary Data
• The collection of secondary data primarily
involves identifying the right sources of
data relevant for the research

8. Source of Secondary data
• Internal
• External

9. Primary data
• Observation methods
• Telephone interview
• Questionnaire method

11. Case study method
• The case study method involves a careful
and complete observation of a social unit.
The social unit can be a person, a family,
an institution, a cultural group or even an
entire community.

13. DEFINING A “CASE”
SELECTION OF THE TYPE OF
CASE STUDY DESIGN
USE OF THEORY
CASE STUDY DATA COLLECTION
CASE STUDY DATA ANALYSIS
GENERALIZING FROM CASE STUDY

15. Non-response in Primary Data
Collection
• Rejection by respondents
• Unavailability at home

17. Minimization of Non-response
REFUSAL
CONVERSION
INCENTIVES
CALL BACKS
MINIMIZING
NON-
RESPONSE
OVER-
SAMPLING

19. Case Study
• A retail chain in the state of Gujarat had recently opened
its fifth store in one of the major cities of Gujarat. So far
they were only focusing on state of Gujarat. The head of
the company was thinking whether to expand the business
go about making a decision. Suggest the sources of data
that can be used to get insights in to this business
problem. Discuss how a secondary data research can help
in decision making.