A Phylogenetic Classification of the Video-Game Industry’s Business Model Ecosystem

  • Nikolaos Goumagias
  • Ignazio Cabras
  • Kiran Jude Fernandes
  • Feng Li
  • Alberto Nucciarelli
  • Peter Cowling
  • Sam Devlin
  • Daniel Kudenko
Conference paper

DOI: 10.1007/978-3-662-44745-1_28

Volume 434 of the book series IFIP Advances in Information and Communication Technology (IFIPAICT)
Cite this paper as:
Goumagias N. et al. (2014) A Phylogenetic Classification of the Video-Game Industry’s Business Model Ecosystem. In: Camarinha-Matos L.M., Afsarmanesh H. (eds) Collaborative Systems for Smart Networked Environments. PRO-VE 2014. IFIP Advances in Information and Communication Technology, vol 434. Springer, Berlin, Heidelberg

Abstract

Since 1990, Business Models emerged as a new unit of interest among both academics and practitioners. An emerging theme in the growing academic literature is focused on developing a system that employs business models as a focal point of enterprise classification. In this paper we attempt a historical analysis of the video game industry business model evolution and examine the process through the prism of two-sided market economics. Based on the biological school of phylogenetic classification, we develop a cladogram that captures the evolution process and classifies the industry’s business models. The classification system is regarded as a first attempt to provide an exploratory and descriptive research of the video game industry, before attempting an explanatory and predictive analysis, and introduces a system that is not governed by the industry’s specific characteristics and can be universally applied, providing a map for researchers and practitioners to test organisational differences and contribute further to the business model knowledge.

Keywords

Business Models Video-game Industry Cladistics Classification Evolution 

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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Nikolaos Goumagias
    • 1
  • Ignazio Cabras
    • 1
  • Kiran Jude Fernandes
    • 2
  • Feng Li
    • 3
  • Alberto Nucciarelli
    • 3
  • Peter Cowling
    • 4
  • Sam Devlin
    • 4
  • Daniel Kudenko
    • 4
  1. 1.Newcastle Business SchoolNorthumbria UniversityNewcastle upon TyneUK
  2. 2.Durham University, Durham University Business SchoolDurhamUK
  3. 3.University of York, York Centre of Complex System Analysis (YCCSA)HeslingtonUK
  4. 4.City University London, Cass Business SchoolLondonUK