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A Relation-based Model for Analyzing Ecosystems of Products, Services and Stakeholders

제품 서비스 시장참여자의 에코시스템 분석을 위한 관계 기반 모델 개발

  • Received : 2010.09.29
  • Accepted : 2011.02.11
  • Published : 2011.03.01

Abstract

A central theme in recent IT (information technology) industry is a mobile ecosystem. While a concept of business ecosystem, which is an economic community of firms and individuals producing and consuming goods and services, has been around for about 20 years now, the recent spotlight is mainly caused by the enormous success of iPhone. Many hand-set makers or platform developers want to mimic Apple's iPhone ecosystem from which both application developers and hand-set users can benefit. In this study, a representation model of the business ecosystem is proposed for supporting systematic design and analysis of ecosystems. Whereas previous studies also proposed some representation models, they emphasized only on the value chain between participating players. The proposed model, which is named relation-based ecosystem model, represents an ecosystem with the requirement relationships between product and service components and the roles of players, as well as their value chain. Such comprehensive representation explicitly reveals the strategic difference between ecosystems. This advantage was illustrated by comparing a Korean traditional mobile ecosystem and an emerging smart-phone ecosystem represented by the proposed model.

Keywords

References

  1. Adner, R. (2006), Match your innovation strategy to your innovation ecosystem, Harvard Business Review, 84(4), 98-107.
  2. Allee, V. (2000), Reconfiguring the value network, Journal of Business Strategy, 21(4), 36. https://doi.org/10.1108/eb040103
  3. Baldwin, C. and Clark, K. (2003), Managing in an age of modularity, Managing in the Modular Age : Architecture, Networks, and Organizations, Blackwell, Malden, MA, USA, 149-161.
  4. Basole, R. and Rouse, W. (2008), Complexity of service value networks : conceptualization and empirical investigation, IBM Systems Journal, 47(1), 53-70. https://doi.org/10.1147/sj.471.0053
  5. Chesbrough, H. (2003), Open innovation : the new imperative for creating and profiting from technology, Harvard Business Press, Boston, MA, USA.
  6. Christensen, C., Raynor, M., and Verlinden, M. (2001), Skate to where the money will be, Harvard Business Review, 79(10), 72-83.
  7. Cusumano, M. (2008), The changing software business : Moving from products to services, Computer, 41(1), 20-27. https://doi.org/10.1109/MC.2008.124
  8. Donaldson, K., Ishii, K., and Sheppard, S. (2006), Customer value chain analysis, Research in Engineering Design, 16(4), 174-183. https://doi.org/10.1007/s00163-006-0012-8
  9. Gamma, E., Helm, R., Johnson, R., and Vlissides, J. (1995), Design patterns : elements of reusable object-oriented software, Addison-Wesley, Reading, MA, USA.
  10. Gawer, A. and Cusumano, M. (2002), Platform leadership : How Intel, Microsoft, and Cisco drive industry innovation, Harvard Business Press, Boston, MA, USA.
  11. Gawer, A. and Cusumano, M. (2008), How companies become platform leaders, MIT Sloan Management Review, 49(2), 28-35.
  12. Iansiti, M. and Levien, R. (2004a), Strategy as ecology, Harvard Business Review, 82(3), 68-81.
  13. Iansiti, M. and Levien, R. (2004b), The keystone advantage, Harvard Business School Press, Boston, MA, USA.
  14. Iyer, B. and Davenport, T. (2008), Reverse engineering Google's innovation machine, Harvard Business Review, 86(4), 58-69.
  15. Jacobides, M., Knudsen, T., and Augier, M. (2006), Benefiting from innovation : value creation, value appropriation and the role of industry architectures, Research Policy, 35(8), 1200-1221. https://doi.org/10.1016/j.respol.2006.09.005
  16. Jeon, J. and Lee, S. (2007), Trend of Mobile Web 2.0 Technology, SK Telecom Review, 17(4), 628-642.
  17. Ko, J. and Ryu, S. (2004), The structure of domestic mobile contents business and its developmental direction, Journal of Cybercommunication Academic Society, 14, 49-97.
  18. Lee, S.-Y., Kim, S.-J., and Kim, H.-N. (2004), Present standard status of WIPI and prospect of development, Communications of the Korean Institute of Information Scientists and Engineers, 22(1), 16-23.
  19. Levitt, T. (1972), Production-line approach to service, Harvard Business Review, 50(5), 41-52.
  20. Moore, J. F. (1993), Predators and prey : a new ecology of competition, Harvard Business Review, 71(3), 75-86.
  21. Parker, G. and Van Alstyne, M. (2005), Two-sided network effects: a theory of information product design, Management Science, 51(10), 1494-1504. https://doi.org/10.1287/mnsc.1050.0400
  22. Shankar, V., Berry, L. L., and Dotzel, T. (2009), A practical guide to combining products and services, Harvard Business Review, 87(11), 94-99.
  23. Tee, R. and Gawer, A. (2009), Industry architecture as a determinant of successful platform strategies: a case study of the i-mode mobile Internet service, European Management Review, 6(4), 217-232. https://doi.org/10.1057/emr.2009.22
  24. Tian, C., Ray, B., Lee, J., Cao, R., and Ding, W. (2008), BEAM : A framework for business ecosystem analysis and modeling, IBM Systems Journal, 47(1), 101-114. https://doi.org/10.1147/sj.471.0101
  25. Zeithaml, V., Parasuraman, A., and Berry, L. (1985), Problems and strategies in services marketing, Journal of Marketing, 49(2), 33-46. https://doi.org/10.2307/1251563

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