This document discusses clarifying the research question through secondary data exploration. It covers exploratory research, secondary sources like encyclopedias and textbooks, evaluating information sources, conducting literature searches, formulating investigative and measurement questions, and refining the research question. The goal is to expand understanding of the management dilemma and identify relevant data, questions, and sample frames through secondary research.

1. Welcome to
RESEARCH QUESTION
AND PROBLEM
IDENTIFICATION
Claryfingthe Research Question
through Data and Exploration
Dr. Myrza Rahmanita, SE, M.Sc
[ ]

2. CHAPTER 5
Clarifying the Research Question through
Secondary Data and Exploration
“
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3. Learning Objectives

4. The purpose and process of exploratory research.

5. The two types and three
levels of management
decision-related
secondary sources.

6. The five types of external information and the factors
for evaluating the value of a source and its content.

7. The process of using exploratory
research to understand the
management dilemma and work
through the stages of analysis
necessary to formulate the research
question (and, ultimately,
investigative questions and
measurement questions)

8. What is involved in internal
data mining and how
internal data-mining
techniques differ from
literature searches.

9. Objectives of Secondary Searches

10. Expand understanding of
management dilemma

11. Gather background information

12. Identify information that
should be gathered

13. Identify sources for
and actual questions
that might be used

14. Identify sources for and
actual sample frames that
might be used

15. Conducting a
Literature
Search
Define management dilemma
Consult books for relevant terms
Use terms to search
Locate/review secondary sources
Evaluate value of each source and content

16. Whiteboard technology makes the discussion of symptoms
relevant to the management-research question hierarchy easier

17. Levels of Information
Tertiary
Sources:
Indexes
Bibliographies
Internet
search engines
Secondary
Sources:
Encyclopedias
Textbooks
Handbooks
Magazines
Newspapers
Newscasts
Primary
Sources:
Memos
Letters
Interviews
Speeches
Laws
Internal
records

18. Integrating Secondary Data

19. The U.S. Government is the world’s
largest source of data

20. Indexes / Bibliographies
Dictionaries
Encyclopedias
Handbooks
Directories
Types
Information Sources

21. Evaluating Information Sources
Evaluation
Factors
Purpose
Scope
Authority
Format
Audience

22. Information Sources
Evolutionary Step Investigative Question Enabling Technologies Characteristics
Data collection (1960s) “What was my average
total revenue over the last
five years?”
Computers, tapes, disks Retrospective, static data
delivery
Data access (1980s) “What were unit sales in
California last
December?”
Relational databases
(RDBMS), structured
query language (SQL),
ODBC
Retrospective, dynamic
data delivery at record
level
Data navigation (1990s) “What were unit sales in
California last December?
Drill down to
Sacramento.”
Online analytic
processing (OLAP),
multidimensional
databases, data
warehouses
Retrospective, dynamic
data delivery at multiple
levels
Data mining (2000) “What’s likely to happen
to Sacramento unit sales
next month? Why?”
Advanced algorithms,
multiprocessor
computers, massive
databases
Prospective, proactive
information delivery
The Evolution of Data Mining

23. Data Mining in Business

24. Data-Mining Process

25. The Business Research Process

26. The Business Research Process

27. Management-Research Question Hierarchy

28. SalePro’s Hierarchy

29. SalePro’s Hierarchy

30. SalePro’s Hierarchy

31. SalePro’s Hierarchy

32. SalePro’s Hierarchy

33. Formulating the Research Question

34. Formulating the Research Question

35. Formulating the Research Question

36. Types of Management Questions

37. 5-37
Determine
necessary
evidence
Set
scope of study
Examine
variables
Break
questions
down
Evaluate
hypotheses
Fine-Tuning
The Research Question

38. Investigative Questions
Performance Considerations
Attitudinal Issues
Behavioral Issues

39. Gantt Chart

40. Key Terms
Bibliography
Bibliographic Database
Data Mart
Data Mining
Data Visualization
Data Warehouse
Dictionary
Directory
Encyclopedia
Expert interview
Exploratory research
Handbook
Index
Individual depth interview
Investigative questions
Literature search
Management question
Measurement question
• Custom-designed
• Predesigned
Primary sources
Research questions
Secondary sources
Source evaluation
• Purpose
• Scope
• Authority
• Audience
• Format
Tertiary sources

41. REFERENCES