7-1 Chapter Chapter 7 7 Secondary Secondary Data Data Searches Searches
Jan 18, 2016
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Chapter 7Chapter 7
Secondary Data Secondary Data SearchesSearches
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Learning Objectives
Understand the . . .
• purpose and process of exploratory research
• two types and three levels of management decision-related secondary sources
• five types of external information and the factors for evaluating the value of a source and its content
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Learning Objectives
Understand . . .
• the process for conducting a literature search
• data mining and how internal data mining techniques differ from literature searches.
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Exploratory Phase Search Strategy
Search Strategy
Discovery/ AnalysisSecondary Sources
Individual Depth Interviews
Expert Interview
GroupDiscussions
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Exhibit 7-1 Integration of Secondary Data into theResearch Process
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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
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Conducting a Literature Search
Define management dilemmaDefine management dilemma
Consult books for relevant termsConsult books for relevant terms
Use terms to searchUse terms to search
Locate/review secondary sourcesLocate/review secondary sources
Evaluate value of each source and content
Evaluate value of each source and content
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• Whiteboard technology makes the discussion of symptoms relevant to the management-research question hierarchy easier
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Levels of Information
Primary Sources:MemosLetters
InterviewsSpeeches
LawsInternal records
Secondary Sources:
EncyclopediasTextbooksHandbooksMagazines
NewspapersNewscasts
Tertiary Sources:Indexes
BibliographiesInternet
search engines
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Exhibit 7-2 Integrating Secondary Data
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The U.S. Government
is the world’s largest source of data
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Information Sources
Encyclopedias
DirectoriesDirectories
HandbooksHandbooks
TypesTypes
Indexes/Bibliographies
DictionariesDictionaries
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Evaluating Information Sources
Authority
FormatFormat
AudienceAudience
EvaluationFactors
EvaluationFactors
Purpose
ScopeScope
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Exhibit 7-4 Review of Advanced Search Options
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Exhibit 7-5 Advanced Searching Process
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Exhibit 7-9 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
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Exhibit 7-10 Data Mining in Business
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Exhibit 7-12 Data-Mining Process
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Key Terms
• Bibliography• Bibliographic Database• Data Mart• Data Mining• Data Visualization• Data Warehouse• Dictionary• Directory• Encyclopedia• Exploratory research• Handbook• Individual depth interview
• Index• Literature search• Portal• Primary sources• Search query• Secondary sources• Source evaluation
– Purpose– Scope– Authority– Audience– Format
• Tertiary sources