You are previewing Relational Methodologies and Epistemology in Economics and Management Sciences.
O'Reilly logo
Relational Methodologies and Epistemology in Economics and Management Sciences

Book Description

The social sciences, especially economics, management, and organizational science, are experiencing a tremendous renewed interest for their epistemological and methodological statutes, as witnessed by the many books and specialized journals established during the last two decades. Relational Methodologies and Epistemology in the Economics and Management Sciences identifies and presents the four main network-based methodologies including network analysis, Boolean network simulation modeling, artificial neural network simulation modeling, and agent-based simulation modeling in addition to their conceptual-epistemological implications and concrete applications within the social and natural sciences. Featuring a critical assessment of relational methodologies and their practical applications, this timely publication is ideal for use by corporate R&D departments, researchers, theorists, and graduate-level students.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Preface
    1. AIMS, SCOPE, AND TARGETS
    2. AN OVERVIEW OF THE BOOK STRUCTURE
    3. REFERENCES
  6. Section 1: Theoretical Aspects
    1. Chapter 1: Network Analysis for Economics and Management Studies
      1. ABSTRACT
      2. INTRODUCTION: DIFFERENT DISCIPLINARY PERSPECTIVES
      3. NETWORK ANALYSIS IN ECONOMICS
      4. NETWORK ANALYSIS IN MANAGEMENT AND ORGANIZATION SCIENCES
      5. THE MODELING REVOLUTION
      6. FROM JUXTAPOSING TO COMBINING
      7. CONCLUSION
      8. REFERENCES
      9. ENDNOTES
    2. Chapter 2: NK Simulation Modeling
      1. ABSTRACT
      2. INTRODUCTION
      3. PART I: THE NK MODEL AS “PURE” BOOLEAN NETWORK DYNAMICS
      4. PART II: THE NK MODEL AS FITNESS LANDSCAPE
      5. CONCLUSION
      6. REFERENCES
      7. ENDNOTES
    3. Chapter 3: Neural Network Models
      1. ABSTRACT
      2. INTRODUCTION
      3. WHAT IS EMERGENCE?
      4. HOW TO DETECT EMERGENCE: MULTIPLE ANALYSES
      5. HOW TO DETECT EMERGENCE: SINGLE ANALYSES
      6. THE EMERGENCE PHENOMENA WITHIN AANS
      7. CONCLUSION
      8. REFERENCES
    4. Chapter 4: Agent-Based Simulation Modeling
      1. ABSTRACT
      2. 1 INTRODUCTION
      3. 2 DESCRIBING VS. EXPLAINING
      4. 3 SIMULATIONS MODELS AS RESEARCH TOOL FOR EXPLANATORY MECHANISMS
      5. 4 CONCLUSION
      6. REFERENCES
  7. Section 2: Some Examples of Empirical Applications
    1. Chapter 5: A Comparison between International Trade and R&D Collaboration Networks in the European Aerospace Sector
      1. ABSTRACT
      2. INTRODUCTION
      3. THEORETICAL BACKGROUND
      4. METHODOLOGICAL ISSUES
      5. THE ANALYSIS THROUGH AGGREGATE AND BOTTOM-UP INDEXES
      6. CORE-PERIPHERY ANALYSIS
      7. CONCLUSION
      8. REFERENCES
      9. ENDNOTES
    2. Chapter 6: An International Trade Comparison of Two Supposedly Different Sectors
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODOLOGICAL ASPECTS
      4. AEROSPACE TRADE WEB
      5. COMMON EARTH MATERIALS RADE WEB
      6. TOPOLOGICAL SIMILARITY
      7. SCALE-FREE AND SMALL-WORLD PROPERTIES
      8. ASSORTATIVITY AND CORE-PERIPHERY ANALYSIS
      9. A STRAIGHT COMPARISON
      10. SYNTHETIC EVALUATIONS
      11. CONCLUSION
      12. REFERENCES
      13. ENDNOTES
      14. APPENDIX
    3. Chapter 7: A Methodology to Measure the Hierarchical Degree of Formal Organizations
      1. ABSTRACT
      2. INTRODUCTION
      3. PREVIOUS RESEARCH
      4. RESEARCH QUESTIONS
      5. METHODOLOGY
      6. RESULTS
      7. DISCUSSION
      8. CONCLUSION
      9. REFERENCES
      10. ENDNOTES
    4. Chapter 8: The Role of Proximity in Inter-Organizational Network Evolution
      1. ABSTRACT
      2. INTRODUCTION
      3. THE ROLE OF PROXIMITY IN INTER-ORGANIZATIONAL RELATIONS: SOME INSIGHTS
      4. STOCHASTIC ACTOR-ORIENTED MODELS FOR LONGITUDINAL NETWORK ANALYSIS
      5. RESULTS OF THE LONGITUDINAL ANALYSIS
      6. CONCLUSION
      7. REFERENCES
      8. ENDNOTES
    5. Chapter 9: The Role of Knowledge Heterogeneity in Industrial Clusters Knowledge Dynamics
      1. ABSTRACT
      2. INTRODUCTION
      3. NK MODELING AND PREVIOUS CONTRIBUTIONS
      4. METHODOLOGY
      5. THE KNOWLEDGE NETWORK WITHIN THE NETWORK OF COLLABORATIONS FOR INNOVATIONS
      6. EXPERIMENTS DESIGN
      7. RESULTS
      8. DISCUSSION AND CONCLUSION
      9. REFERENCES
      10. ENDNOTES
      11. APPENDIX
    6. Chapter 10: Innovations and Organizational Structures
      1. ABSTRACT
      2. 1 INTRODUCTION
      3. 2 PSEUDO-NK: A NEW MODEL FOR COMPLEXITY
      4. 3 A MODEL FOR ORGANIZATIONAL DECISION MAKING
      5. 4 RESULTS
      6. 5 CONCLUSION
      7. REFERENCES
      8. ENDNOTES
    7. Chapter 11: Neural Network Modeling for Organizational Psychology
      1. ABSTRACT
      2. INTRODUCTION
      3. THE ANN MODELS USED IN ORGANIZATIONAL PSYCHOLOGY
      4. THE EMERGENCE OF INDIVIDUAL CONSTRUCTS
      5. THE EMERGENCE OF COLLECTIVE CONSTRUCTS
      6. CONCLUSION
      7. REFERENCES
    8. Chapter 12: Knowledge Creation, Growth, and Transfer within Industrial Networks of Practices
      1. ABSTRACT
      2. INTRODUCTION
      3. THEORETICAL BACKGROUND
      4. THE KNOWTIC MODEL
      5. CONFIGURATION OF VIRTUAL EXPERIMENTS
      6. THE MAIN RESULTS
      7. DISCUSSION AND CONCLUSION
      8. REFERENCES
      9. ENDNOTES
      10. APPENDIX 1
      11. APPENDIX 2
    9. Chapter 13: On the Relationships between Connection Modes and Workgroup Performance
      1. ABSTRACT
      2. INTRODUCTION
      3. KEY CONCEPTS
      4. MODEL DESCRIPTION AND RESEARCH DESIGN
      5. RESULTS ON SINGLE MODE SPECIALIZED GROUPS
      6. CONCLUSION
      7. REFERENCES
      8. ENDNOTES
    10. Chapter 14: Knowledge-Driven Agglomeration Processes
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THEORETICAL BACKGROUND
      4. 3. METHODOLOGY: AGENT-BASED COMPUTATIONAL MODELLING
      5. 4. THE AGENT-BASED MODEL OF THE GEOGRAPHICAL CLUSTERING PROCESSES
      6. 5. THE SIMULATION ANALYSIS
      7. 6. CONCLUSION
      8. REFERENCES
      9. ENDNOTES
  8. Conclusion
    1. METHODOLOGICAL PLURALISM AND EPISTEMOLOGY
    2. HOW TO CHOOSE BETWEEN RELATIONAL METHODOLOGIES
    3. RELATIONAL METHODOLOGIES AND COMPLEXITY IN ECONOMICS AND MANAGEMENT SCIENCES
    4. REFERENCES
    5. ENDNOTES
  9. Glossary
  10. Compilation of References
  11. About the Authors