Digital Creativity Model and Its Relationship with Corporate Performance

Emphasis on Agent-Based Modeling Approach

  • Kun Chang┬áLee

Part of the SpringerBriefs in Business book series (BRIEFSBUSINESS)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Kun Chang Lee
    Pages 1-8
  3. Kun Chang Lee
    Pages 9-32
  4. Kun Chang Lee
    Pages 33-40
  5. Kun Chang Lee
    Pages 59-61
  6. Back Matter
    Pages 63-70

About this book

Introduction

This book provides theoretical and practical backgrounds for the digital creativity management and related Agent-Based Modeling (ABM) results on the basis of a set of realistic assumptions in which several topics such as knowledge network, diversity, individual creativity, team creativity, exploration and exploitation, and organizational creativity are discussed. Until now, there has been no clear-cut methodology by which creativity management can be articulated and materialized into the business process management within companies and corporate performance. Though many approaches have been proposed to tackle the creativity research issues, this book adopts a new approach which assumes that the network structure formulated by interrelationships among team members decides individual creativity and team creativity as well, and ABM-based simulations lead to robust analysis of corporate performance over time. Typical examples of network structure under consideration in this study are degree centrality and structural hole (an opportunity to broker the flow of information between people, and control the projects that bring together people from opposite sides of the hole). This book suggests detailed analysis of source code used in implementing a prototype digital creativity simulation engine with related snap-shots and ABM results, so that readers can understand hard core of how to design and implement ABM tasks related to target problems, and extract implications from the ABM results.

Keywords

Agent-Based Modeling Creative Management Degree Centrality Knowledge Network Multi-Agents Simulation Organizational Learning Structure Hole

Authors and affiliations

  • Kun Chang┬áLee
    • 1
  1. 1.SKK Business School and Creativity Science Research Institute SAIHST (Samsung Advanced Institute for Health Sciences and Technology)Sungkyunkwan UniversitySeoulKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-39991-1
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-39989-8
  • Online ISBN 978-3-319-39991-1
  • Series Print ISSN 2191-5482
  • Series Online ISSN 2191-5490
  • About this book
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