IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v80y2013i6p1194-1210.html

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162512002879
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2012.11.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:80:y:2013:i:6:p:1194-1210. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.