Resource Recombination in Firms from a Dynamic Capability Perspective

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This book elaborates the concept of Resource Recombination in firms from a Dynamic Capability perspective. With the investigation of the role of Dynamic Capabilities in the process of innovation generation through Resource Recombination, this research addresses some existing shortcomings in the Dynamic Capability literature, where there is a crucial need to better understand the interrelationship between Dynamic Capabilities, the firm`s resource base, and innovation through Resource Recombinations. This research contributes to the resource and competence based research by developing and empirically testing a conceptual model of factors influencing Resource Recombination in firms. The principal aim of this research is to bring clarity to the notion of Dynamic Capabilities, their role and effects towards building Resource Recombinations in firms.

Author(s): Kerstin Kurzhals
Series: Gabler Theses
Publisher: Springer Gabler
Year: 2021

Language: English
Pages: 332
City: Wiesbaden

Foreword
Acknowledgements
Abstract of the Thesis
Outline of the Thesis
Contents
About the Author
Abbreviations
List of Figures
List of Tables
1 Introduction
1.1 Aims and Objectives
1.2 Research Scope and Context
1.3 Research Objectives and Questions
1.4 Research Approach and Methodology
2 Literature Review—Theoretical and Conceptual Foundations
2.1 Introduction
2.2 The Concept of Resource Recombination in Firms
2.3 Theoretical Foundation: Resource and Competence Based Research
2.3.1 Evolution and Background
2.3.2 Demarcation of the Research Area
2.4 Conceptual Foundations: Resources, Dynamic Capabilities and Resource Recombination
2.4.1 Organisational Resources
2.4.2 Organisation of Resources within the Firm
2.4.3 Management of Resources within the Firm
2.5 Research Gaps derived from the Literature Review
2.6 Chapter Summary
3 Development of the Conceptual Model and Hypotheses
3.1 Introduction
3.2 Preliminary Considerations: Resource Value Creation through Resource Recombination
3.2.1 Potential and Realised Value of the Resources
3.2.2 Resource Endowments and Dynamic Capabilities
3.3 The Potential Value of the Resource Base and Resource Recombination
3.3.1 Resources Diversity: Market and Technological Knowledge Breadth
3.3.2 Resource Quality: Market and Technological Knowledge Depth
3.3.3 Resource Complementarity: Knowledge Complementarity
3.3.4 Resource Transferability: Knowledge Tacitness
3.3.5 Resource Deployment Flexibility: Knowledge Context-Specificity
3.3.6 Resource Renewal: Knowledge Origin
3.4 Dynamic Capabilities and Resource Recombination
3.4.1 Dynamic Capability Framework
3.4.2 Role of Dynamic Capabilities in the Process of Resource Value Creation
3.5 Framework Conditions for the Development of Dynamic Capabilities
3.5.1 Entrepreneurial Orientation
3.5.2 Networking Orientation
3.6 The Preliminary Conceptual Model and Hypotheses
3.6.1 The Preliminary Conceptual Model
3.6.2 Hypotheses
3.7 Chapter Summary
4 Qualitative Research: Model and Hypotheses Refinement
4.1 Introduction
4.2 Research Design
4.2.1 Research Strategy
4.2.2 Research Methods
4.3 Qualitative Research Methods
4.3.1 Informal Discussion Forum and Participant Observation
4.3.2 In-Depth Interviews
4.4 Results from the Qualitative Research
4.4.1 Resource Recombination: Performance Outcomes and Value Creation
4.4.2 Dynamic Capabilities: Their Notions, Interrelationships and Impact on Outcome Variables
4.4.3 Characteristics of the Resource Base: Relevance for Resource Recombination
4.4.4 Entrepreneurial and Networking Orientation: Antecedents to Dynamic Capabilities
4.5 Chapter Summary
5 Quantitative Research: Questionnaire Design and Data Collection
5.1 Introduction
5.2 Quantitative Research Method
5.3 Questionnaire Design
5.3.1 The Levels of Measurement, Theory and Statistical Analysis
5.3.2 Formative vs. Reflective Measurement Models
5.3.3 Operationalisation of Constructs
5.3.4 Measurement Scales
5.3.5 Pre-Test
5.4 Data Collection
5.4.1 Target Population
5.4.2 Sampling Procedure and Sample Size
5.4.3 Sample Structure
5.4.4 Nonresponse Bias
5.5 Chapter Summary
6 Results
6.1 Introduction
6.2 Data Preparation and Normality
6.2.1 Data Preparation
6.2.2 Check for Normality
6.3 Exploratory Factor Analysis (EFA)
6.3.1 Factoring Method and Rotation Type
6.3.2 Factor Structure
6.3.3 Construct Reliability and Validity (from EFA)
6.4 Confirmatory Factor Analysis (CFA)
6.4.1 Goodness-of-Fit Indices
6.4.2 One-Factor Congeneric Measurement Models
6.4.3 Construct Reliability and Validity (from CFA)
6.4.4 Common Method Bias (CMB)
6.4.5 Measurement Model Invariance
6.4.6 Composite Variables
6.4.7 Second-Order Formative Construct
6.5 The Structural Path Model
6.5.1 Model Identification
6.5.2 Multivariate Assumptions
6.5.3 The Structural Path Model
6.5.4 The Re-specified Structural Path Model
6.5.5 Hypotheses Support
6.6 Mediation Analysis
6.7 Moderation Analysis
6.7.1 Multi-Group Moderation Analysis
6.7.2 Interaction Effect Method
6.8 Competing Models
6.9 Chapter Summary
7 Discussion, Managerial Implications and Directions for Future Research
7.1 Introduction
7.2 Discussion of the Findings: Key Drivers of Resource Recombination
7.2.1 The Influence of the Resource Endowments on Resource Recombination
7.2.2 The Role of Dynamic Capabilities in the Process of Resource Value Creation
7.2.3 The Antecedents for the Development of Dynamic Capabilities
7.3 Managerial Implications
7.4 Limitations of the Research
7.5 Contributions of the Research
7.5.1 Contribution to Theory
7.5.2 Contribution to Practice
7.6 Directions for Future Research
7.7 Chapter Summary
Bibliography