Chapter 5 Clarifying the Research Question through Secondary

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Chapter 5 Clarifying the Research Question through Secondary Data and Exploration Mc. Graw-Hill/Irwin Business

Chapter 5 Clarifying the Research Question through Secondary Data and Exploration Mc. Graw-Hill/Irwin Business Research Methods, 10 e Copyright © 2008 by The Mc. Graw-Hill Companies, Inc. All Rights Reserved.

2 Learning Objectives Understand. . . • The purpose and process of exploratory research.

2 Learning Objectives Understand. . . • 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.

3 Learning Objectives Understand. . . • The process of using exploratory research to

3 Learning Objectives Understand. . . • 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.

4 Exploratory Phase Search Strategy Discovery/ Analysis Secondary Sources Expert Interview Search Strategy Individual

4 Exploratory Phase Search Strategy Discovery/ Analysis Secondary Sources Expert Interview Search Strategy Individual Depth Interviews Group Discussions

Integration of Secondary Data into the Research Process 5

Integration of Secondary Data into the Research Process 5

6 Objectives of Secondary Searches • Expand understanding of management dilemma • Gather background

6 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

7 Conducting a Literature Search Define management dilemma Consult books for relevant terms Use

7 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

8 • Whiteboard technology makes the discussion of symptoms relevant to the managementresearch question

8 • Whiteboard technology makes the discussion of symptoms relevant to the managementresearch question hierarchy easier

9 Levels of Information Primary Sources: Memos Letters Interviews Speeches Laws Internal records Secondary

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

10 Integrating Secondary Data

10 Integrating Secondary Data

11 Information Sources Indexes/ Bibliographies Directories Dictionaries Types Handbooks Encyclopedias

11 Information Sources Indexes/ Bibliographies Directories Dictionaries Types Handbooks Encyclopedias

12 Evaluating Information Sources Purpose Format Scope Evaluation Factors Audience Authority

12 Evaluating Information Sources Purpose Format Scope Evaluation Factors Audience Authority

13 The Evolution of Data Mining Evolutionary Step Investigative Question Enabling Technologies Characteristics Data

13 The Evolution of Data Mining Evolutionary Step Investigative Question Enabling Technologies Characteristics Data collection (1960 s) “What was my average total revenue over the last five years? ” Computers, tapes, disks Retrospective, static data delivery Data access (1980 s) “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 (1990 s) “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

14 Data Mining in Business

14 Data Mining in Business

15 Data-Mining Process

15 Data-Mining Process

16 The Business Research Process

16 The Business Research Process

17 Stage 1: Clarifying the Research Question Management-research question hierarchy process begins by identifying

17 Stage 1: Clarifying the Research Question Management-research question hierarchy process begins by identifying the management dilemma

18 Management-Research Question Hierarchy

18 Management-Research Question Hierarchy

19 Formulating the Research Question

19 Formulating the Research Question

20 Types of Management Questions

20 Types of Management Questions

21 The Research Question Break questions down Examine variables Determine necessary evidence Fine-Tuning Set

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

22 Gantt Chart Mind. Writer Project Plan

22 Gantt Chart Mind. Writer Project Plan

23 Key Terms • • • • Bibliography Bibliographic Database Data Mart Data Mining

23 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

Appendices 5 a & 5 b Bibliographic Database Searches/ Advanced Searches Mc. Graw-Hill/Irwin Business

Appendices 5 a & 5 b Bibliographic Database Searches/ Advanced Searches Mc. Graw-Hill/Irwin Business Research Methods, 10 e Copyright © 2008 by The Mc. Graw-Hill Companies, Inc. All Rights Reserved.

25 Searching Databases vs. the Web

25 Searching Databases vs. the Web

26 Advanced Searching Process

26 Advanced Searching Process

27 Review of Advanced Search Options

27 Review of Advanced Search Options