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Value network analysis for complex service systems: a case study on Taiwan’s mobile application services

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  • Juite Wang
  • Jung-Yu Lai
  • Li-Chun Hsiao

Abstract

This paper aims to develop a service value network analysis approach based on system dynamics (SD) for analyzing the feedback structures that causes dynamic behavior of service value networks for value co-creation. The proposed approach defines the network objectives, identifies network actors and their interactions, builds SD models, conducts model tests, and evaluates possible policies that can be used to enhance the overall network performance. A case study of Taiwan’s mobile application services is used to illustrate the developed methodology. The developed methodology can help managers represent complex interactions and feedback structures of the service systems for value co-creation. In addition, decision makers can use the models to evaluate alternative scenarios for better understanding the system behavior that can improve the policy design and evaluation. Finally, we recommend that the case company should sense the market development of mobile application services continuously and improve its service quality on both user and developer sides relentlessly for sustaining its market growth. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Juite Wang & Jung-Yu Lai & Li-Chun Hsiao, 2015. "Value network analysis for complex service systems: a case study on Taiwan’s mobile application services," Service Business, Springer;Pan-Pacific Business Association, vol. 9(3), pages 381-407, September.
    • Handle: RePEc:spr:svcbiz:v:9:y:2015:i:3:p:381-407
    DOI: 10.1007/s11628-014-0237-y
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    Cited by:

    1. Robert Frost & Kelly Lyons, 2017. "Service Systems Analysis Methods and Components: A Systematic Literature Review," Service Science, INFORMS, vol. 9(3), pages 219-234, September.
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    3. Wang, Juite & Lai, Jung-Yu & Chang, Chih-Hsin, 2016. "Modeling and analysis for mobile application services: The perspective of mobile network operators," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 146-163.
    4. Ke Rong & Yong Lin & Boyi Li & Thommie Burström & Lynne Butel & Jiang Yu, 2018. "Business ecosystem research agenda: more dynamic, more embedded, and more internationalized," Asian Business & Management, Palgrave Macmillan, vol. 17(3), pages 167-182, July.

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