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Mobile service platform competition

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  • Nikou, Shahrokh
  • Bouwman, Harry

Abstract

Mobile service platforms are becoming particularly important as play a significant role in consumers' decisions to accept, adopt and use mobile services and applications. Literature on mobile service platforms focuses mainly on strategic issues in managing multi-sided platforms and economic issues of two sided markets, still literature is highly conceptual and empirical research on the awareness and preferences of consumers is lacking. Yet, there is a lack of empirical research on platforms developed by mobile network operators. By making use of conjoint analysis, 62 Finnish respondents participated in an empirical study. The conjoint analysis results show that application costs and type of operating system are the most important criteria to make a decision and the provider of the service platform is not of the concern. However, consumers value issues such as security and privacy arrangement which are often guaranteed by network operators. Our findings have three suggestions to mobile network operators: (1), they settle for becoming a bit-pipe provider, (2), open their platforms, and (3), let other market competitors such as Apple, Google, Facebook be responsible for providing mobile services and applications.

Suggested Citation

  • Nikou, Shahrokh & Bouwman, Harry, 2012. "Mobile service platform competition," 19th ITS Biennial Conference, Bangkok 2012: Moving Forward with Future Technologies - Opening a Platform for All 72515, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb12:72515
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    References listed on IDEAS

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    1. Li, Feng & Whalley, Jason, 0. "Deconstruction of the telecommunications industry: from value chains to value networks," Telecommunications Policy, Elsevier, vol. 26(9-10), pages 451-472, October.
    2. Pieter BALLON, 2009. "The Platformisation of the European Mobile Industry," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(75), pages 15-34, 3rd quart.
    3. Lori Rosenkopf & Giovanna Padula, 2008. "Investigating the Microstructure of Network Evolution: Alliance Formation in the Mobile Communications Industry," Organization Science, INFORMS, vol. 19(5), pages 669-687, October.
    4. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    5. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    6. Rahul Basole & Jürgen Karla, 2011. "On the Evolution of Mobile Platform Ecosystem Structure and Strategy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(5), pages 313-322, October.
    7. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    8. Frank Kohne & Carsten Totz & Kai Wehmeyer, 2005. "Consumer preferences for location-based service attributes: a conjoint analysis," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 6(1), pages 16-32.
    9. Weber, Arnd & Haas, Michael & Scuka, Daniel, 2011. "Mobile service innovation: A European failure," Telecommunications Policy, Elsevier, vol. 35(5), pages 469-480, June.
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    More about this item

    Keywords

    Mobile Service Platforms; Device Manufacturers; Service Provide-Centric Platform; Operator-Centric Platform; Application Cost;
    All these keywords.

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