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Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre

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  • Battistella, Cinzia
  • Colucci, Katia
  • De Toni, Alberto F.
  • Nonino, Fabio

Abstract

The paper proposes a method for analysing, modelling and foresighting the business ecosystems as network structures interacting one with each other. The methodology's name is “methodology of business ecosystem network analysis” (MOBENA). The paper shows how it is possible to systematically study the structure and fluxes of a business ecosystem. The main problems of other modelling languages for firm interactions that MOBENA tries to overcome are that (1) the methodologies tailored for BEs are very few, the others neglect interdependences or focus only on tangible or intangible aspects, and (2) they limit potential for strategic analysis and they do not take in a future-perspective. The paper includes an analysis of literature on Strategic Management (in particular, strategic models on relationships), Network Analysis and Foresight, from whence the theoretical proposal of the MOBENA is born. Then, the authors illustrate its application via a case study conducted inside the Telecom Italia Future Centre, and in particular taking as example the digital imaging ecosystem. The original aspects are the mapping of tangible and intangible relationships, the dynamic and foresight analysis, the possibility to set strategic guidance thanks to specific indicators.

Suggested Citation

  • Battistella, Cinzia & Colucci, Katia & De Toni, Alberto F. & Nonino, Fabio, 2013. "Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1194-1210.
    • Handle: RePEc:eee:tefoso:v:80:y:2013:i:6:p:1194-1210
    DOI: 10.1016/j.techfore.2012.11.002
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    Cited by:

    1. Battistella, Cinzia, 2014. "The organisation of Corporate Foresight: A multiple case study in the telecommunication industry," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 60-79.
    2. Tsujimoto, Masaharu & Kajikawa, Yuya & Tomita, Junichi & Matsumoto, Yoichi, 2018. "A review of the ecosystem concept — Towards coherent ecosystem design," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 49-58.
    3. Sun, Qiao & Wang, Chang & Zhou, Yifang & Zuo, Lyushui & Song, Huiling, 2023. "How to build business ecosystems for e-waste online recycling platforms: A comparative study of two typical cases in China," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    4. Cobben, Dieudonnee & Ooms, Ward & Roijakkers, Nadine & Radziwon, Agnieszka, 2022. "Ecosystem types: A systematic review on boundaries and goals," Journal of Business Research, Elsevier, vol. 142(C), pages 138-164.
    5. Inoue, Yuki & Tsujimoto, Masaharu, 2018. "New market development of platform ecosystems: A case study of the Nintendo Wii," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 235-253.
    6. Kolloch, Michael & Dellermann, Dominik, 2018. "Digital innovation in the energy industry: The impact of controversies on the evolution of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 254-264.
    7. Dedehayir, Ozgur & Mäkinen, Saku J. & Roland Ortt, J., 2018. "Roles during innovation ecosystem genesis: A literature review," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 18-29.
    8. Dedehayir, Ozgur & Mäkinen, Saku J. & Ortt, J. Roland, 2022. "Innovation ecosystems as structures: Actor roles, timing of their entrance, and interactions," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    9. Gomes, Leonardo Augusto de Vasconcelos & Facin, Ana Lucia Figueiredo & Salerno, Mario Sergio & Ikenami, Rodrigo Kazuo, 2018. "Unpacking the innovation ecosystem construct: Evolution, gaps and trends," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 30-48.
    10. Jukka Majava & Tuomo Kinnunen & Pekka Kess & Pekka Leviäkangas, 2014. "Spatial Health and Life Sciences Business Ecosystems: Research Frame," Management, University of Primorska, Faculty of Management Koper, vol. 9(4), pages 307-322.
    11. Chang, Suk-Gwon, 2015. "A structured scenario approach to multi-screen ecosystem forecasting in Korean communications market," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 1-20.
    12. Anna Drab-Kurowska & Agnieszka Budziewicz-Guźlecka, 2021. "The Digital Post Ecosystem—Example of Poland in the Context of Research," Sustainability, MDPI, vol. 13(5), pages 1-15, February.
    13. Takey, Silvia Mayumi & Carvalho, Marly M., 2016. "Fuzzy front end of systemic innovations: A conceptual framework based on a systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 97-109.
    14. Moerchel, Alexander & Tietze, Frank & Urmetzer, Florian, 2023. "Visualising dynamics in innovation ecosystems: A new method and demonstration in the commercial aircraft MRO ecosystem," Technovation, Elsevier, vol. 128(C).
    15. Xu, Guannan & Wu, Yuchen & Minshall, Tim & Zhou, Yuan, 2018. "Exploring innovation ecosystems across science, technology, and business: A case of 3D printing in China," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 208-221.
    16. Rong, Ke & Hu, Guangyu & Lin, Yong & Shi, Yongjiang & Guo, Liang, 2015. "Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors," International Journal of Production Economics, Elsevier, vol. 159(C), pages 41-55.
    17. Bixiang Shi & Fangcheng Tang & Fenfen Wei, 2022. "The Path Constitution of Platform Evolution: An Organizational Momentum View," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    18. Phillips, Mark A. & Ritala, Paavo, 2019. "A complex adaptive systems agenda for ecosystem research methodology," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    19. Battistella, Cinzia & De Toni, Alberto F. & De Zan, Giovanni & Pessot, Elena, 2017. "Cultivating business model agility through focused capabilities: A multiple case study," Journal of Business Research, Elsevier, vol. 73(C), pages 65-82.
    20. Guannan Xu & Weijie Hu & Yuanyuan Qiao & Yuan Zhou, 2020. "Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2057-2081, September.
    21. Nihad Faissal Bassis & Fabiano Armellini, 2018. "Systems of innovation and innovation ecosystems: a literature review in search of complementarities," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1053-1080, December.
    22. Graça, Paula & Camarinha-Matos, Luís M., 2017. "Performance indicators for collaborative business ecosystems — Literature review and trends," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 237-255.
    23. Perfetto, Maria Concetta & Vargas-Sánchez, Alfonso & Presenza, Angelo, 2016. "Managing A Complex Adaptive Ecosystem: Towards A Smart Management Of Industrial Heritage Tourism," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 4(3), pages 243-264.

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