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Welcome to
RESEARCH QUESTION
AND PROBLEM
IDENTIFICATION
Claryfingthe Research Question
through Data and Exploration
Dr. Myrza Rahmanita, SE, M.Sc
[ ]
CHAPTER 5
Clarifying the Research Question through
Secondary Data and Exploration
“
“
Learning Objectives
The purpose and process of exploratory research.
The two types and three
levels of management
decision-related
secondary sources.
The five types of external information and the factors
for evaluating the value of a source and its content.
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)
What is involved in internal
data mining and how
internal data-mining
techniques differ from
literature searches.
Objectives of Secondary Searches
Expand understanding of
management dilemma
Gather background information
Identify information that
should be gathered
Identify sources for
and actual questions
that might be used
Identify sources for and
actual sample frames that
might be used
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
Whiteboard technology makes the discussion of symptoms
relevant to the management-research question hierarchy easier
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
Integrating Secondary Data
The U.S. Government is the world’s
largest source of data
Indexes / Bibliographies
Dictionaries
Encyclopedias
Handbooks
Directories
Types
Information Sources
Evaluating Information Sources
Evaluation
Factors
Purpose
Scope
Authority
Format
Audience
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
Data Mining in Business
Data-Mining Process
The Business Research Process
The Business Research Process
Management-Research Question Hierarchy
SalePro’s Hierarchy
SalePro’s Hierarchy
SalePro’s Hierarchy
SalePro’s Hierarchy
SalePro’s Hierarchy
Formulating the Research Question
Formulating the Research Question
Formulating the Research Question
Types of Management Questions
5-37
Determine
necessary
evidence
Set
scope of study
Examine
variables
Break
questions
down
Evaluate
hypotheses
Fine-Tuning
The Research Question
Investigative Questions
Performance Considerations
Attitudinal Issues
Behavioral Issues
Gantt Chart
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
REFERENCES

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