Chapter 5 Clarifying the Research Question through Secondary Data and Exploration McGraw-Hill/Irwin Business Research Methods, 10e Copyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved. 5-2 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 5-3 5-4 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 5-5 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 5-6 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 5-7 Integrating Secondary Data 5-8 Information Sources Indexes/ Bibliographies Directories Dictionaries Types Handbooks Encyclopedias 5-9 Evaluating Information Sources Purpose Format Scope Evaluation Factors Audience Authority 5-10 The Evolution of Data Mining 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 5-11 Data Mining in Business 5-12 Data-Mining Process 5-13 The Business Research Process 5-14 Stage 1: Clarifying the Research Question Management-research question hierarchy process begins by identifying the management dilemma 5-15 Management-Research Question Hierarchy 5-16 Formulating the Research Question 5-17 Types of Management Questions 5-18 The Research Question Break questions down Examine variables Determine necessary evidence Fine-Tuning Evaluate hypotheses Set scope of study Appendices 5a & 5b Bibliographic Database Searches/ Advanced Searches McGraw-Hill/Irwin Business Research Methods, 10e Copyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved. 5-20 Searching Databases vs. the Web 5-21 Advanced Searching Process 5-22 Review of Advanced Search Options