(EBook PDF) Combining Case Study Designs for Theory Building A New Sourcebook for Rigorous Social Science Researchers 1st edition by Lakshmi Balachandran Nair, Michael Gibbert, Bareerah Hafeez Hoorani 1009020811 9781009020817 full chapters

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ISBN-10 :  1009020811 

ISBN-13 :  9781009020817

Author: Lakshmi Balachandran Nair, Michael Gibbert, Bareerah Hafeez Hoorani

Combining Case Study Designs for Theory Building: A New Sourcebook for Rigorous Social Science Researchers 1st Table of contents:

Chapter 1 Introduction to Case Study Research
1.1 History
1.2 Case Study: What Is It?
1.3 (Sequencing) Case Study Designs
1.4 Purpose of This Book: From Sequencing Case Study Designs to Undertaking a Methodological Tango!
1.5 Summary of the Chapters
References
Chapter 2 Building Blocks of Case Study Research
2.1 Introduction
2.2 Research Questions
2.3 Back to Research Functions and Questions
2.3.1 Exploratory Research Questions
2.3.2 Explanatory Research Questions
2.3.2.1 Y-Centered Explanatory Research Questions
2.3.2.2 X-Centered Explanatory Research Questions
2.3.2.3 X- and Y-Centered Explanatory Research Questions
2.4 ”Put It in Context”: The Influence of Z
2.5 Induction, Deduction, and Abduction
2.6 We Have Some Designs!
References
Chapter 3 Of Talking Pigs and Black Swans: Single Holistic Case Study Design
3.1 Introducing the Single Holistic Design
3.2 Strengths of the Single Holistic Design
3.2.1 Strength #1: Of Process Studies and Jigsaws
3.2.1.1 Are You Interested in the Cause or the Outcome?
3.2.2 Strength #2: Black Swans, Uniqueness, and Falsification
3.2.3 Strength #3: Data Access and Construct Validity
3.2.4 Strength #4: Unlimited Number of Variables, if Desired
3.3 Weaknesses of Single Holistic Case Studies
3.3.1 Weakness #1: Internal Validity
3.3.2 Weakness #2: External Validity
3.4 Brief Summary
References
Chapter 4 Do It Again: The Evidentiary Basis of Case Studies Is Plural
4.1 Multiple Case Studies: What Are They? Why Do We Need Them?
4.2 Literal Replication (LR) and Reliability
4.3 Limitations of Literal Replication
4.4 Theoretical Replication (TR) and Internal Validity
4.5 Theoretical Replication (TR) and External Validity
4.6 Limitations of Theoretical Replication
4.7 Strengths and Weaknesses
4.7.1 Strength #1: Literal Replication and Reliability
4.7.2 Strength #2: Theoretical Replication and Internal Validity
4.7.3 Strength #3: The Side Product of Internal Validity, that is, External Validity
4.7.4 Weakness #1: Depth of Observation vs. Breadth
4.7.5 Weakness #2: Need to Control Context
4.7.6 Weakness #3: Small Number of Independent Variables
4.8 Brief Summary
References
Chapter 5 The Natural Experiment, a.k.a. the Single Embedded Design
5.1 Single Embedded Case Study Design: What Is It? Why Do We Need This Design?
5.2 What Makes the Single Embedded Design Different from the Multiple and Single Holistic Case Study
5.2.1 Difference #1: Level of Analysis
5.2.2 Difference #2: Replication
5.3 Selection Rationale and Sampling for the Case(s)
5.4 Longitudinal and/or Cross-sectional Single Embedded Designs
5.4.1 Cross-sectional Design
5.4.2 Longitudinal Design
5.4.3 Cross-sectional and Longitudinal Designs
5.5 Strengths and Weaknesses
5.5.1 Strength #1: Internal Validity
5.5.2 Strength #2: External Validity (Stronger than the Single Holistic Case Study Design)
5.5.3 Weakness #1: Small Number of Explanatory Variables
5.5.4 Weakness #2: External Validity (Weaker than the Multiple Case Study Design)
5.6 Brief Summary
References
Chapter 6 Do It Again (and Again): Multiple Embedded Case Study Design
6.1 Exploring Multiple Embedded Case Studies
6.2 What Makes a Multiple Embedded Case Study Design Distinct?
6.2.1 Multiple Level of Analysis and More than One Case
6.2.2 Between-Case and within-Case Comparisons
6.3 When Should You Opt for the Multiple Embedded Design?
6.4 Strengths and Weaknesses
6.4.1 Strength #1: Increased Internal Validity through Comparative Analysis between- and within-Case
6.4.2 Strength #2: Offers a Variety of Different Design Possibilities
6.4.3 Weakness #1: Lack of Contextual Depth-Can Only Focus on a Small Number of Explanatory Variable
6.4.4 Weakness #2: Access to the Cases and Embedded Units Can Be Difficult to Get
6.5 Brief Summary
References
Chapter 7 Sequencing Case Study Designs: Inductive-Deductive
7.1 Introducing the Sequencing Case Study Design
7.2 So, What Is Sequencing Case Study Design? Let’s Dive in!
7.3 Doz (1996) As an Illustrative Example of Sequencing Case Study Designs: Inductive-Deductive
7.3.1 The First Case Is Ciba Geigy-Alza
7.3.2 The Second Case Is AT&T-Olivetti
7.3.3 The Third Case Is GE-SNECMA
7.3.4 Components of the Case Study Design
7.3.4.1 Research Question
7.3.4.2 Theoretical (Purposeful) Sampling
7.3.4.3 Controls
7.3.4.4 Cases, Embedded Units, and Level of Analysis
7.3.5 Sequencing Case Study Designs
7.4 How to Report Sequencing Case Study Designs?
References
Chapter 8 More on Sequencing Case Study Designs: Deductive-Inductive
8.1 Discovering a ”Black Swan” and Diving into Deductive-Inductive Sequencing Case Study Designs
8.2 Deductive-Inductive Sequencing: Are Outliers Nuisances or Opportunities?
8.2.1 A Tale of Two Outliers
8.3 Zott and Huy (2007) As an Illustrative Example of Sequencing Case Study Designs: Deductive-Induc
8.3.1 Components of the Case Study Design
8.3.1.1 Research Question
8.3.1.2 Theoretical Sampling, Prediction Outliers, and Controls
8.3.1.3 Cases and Level of Analysis
8.3.2 Sequencing Case Study Design and Additional Data Collection
8.4 More on Deductive-Inductive Sequencing of Case Study Designs: Deviant Cases, Omitted Variable Bi
8.5 Reporting the Sequencing of Case Study Designs
References
Chapter 9 A Parting Note, on an Optimistic Note
9.1 Research Paradigms
9.2 Research Questions
9.3 Quality Criteria for Case Study Research: Rigor and Trustworthiness
9.3.1 The Internal versus External Validity Debate
9.3.1.1 Internal Validity
9.3.1.2 External Validity
9.4 Iterative Cycle of Data Collection and Data Analysis
9.5 Sequencing Case Study Designs for Your Own Research

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