• DocumentCode
    690853
  • Title

    Deciphering business ecosystem capabilities of the emerging electric vehicle industry

  • Author

    Shang, T. ; Chang, Frank ; Shi, Y.

  • Author_Institution
    Dept. of Eng., Univ. of Cambridge, Cambridge, UK
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    638
  • Lastpage
    642
  • Abstract
    The aim of this paper is to propose a comprehensive research framework seeking to decipher the evolutionary development of emerging business ecosystems and to identify the necessary strategic capabilities which enable the transformation of business ecosystems from one stage to the next along its life-cycle. Initial findings from exploratory case studies of the EV industry in Chinese Shandong Province show that the EV Business ecosystem emerged from a network of connected entrepreneurs to its current nascent structure. Taking a multi-disciplinary approach, literatures of evolutionary economics, business ecosystem and capabilities have been reviewed. On the basis of the research gaps, a conceptual research framework is proposed that potential contributions of subsequent findings include theoretically enriching business ecosystem theories and benefiting industrial players practically through the formulation of the capability maturity model.
  • Keywords
    electric vehicles; product life cycle management; Chinese Shandong province; EV Business ecosystem; EV industry; business ecosystem; business ecosystem capabilities; business ecosystems transformation; capability maturity model; comprehensive research framework; conceptual research framework; electric vehicle industry; evolutionary economics; multidisciplinary approach; strategic capabilities; Business; Economics; Ecosystems; Educational institutions; Electric vehicles; Industries; Technological innovation; Business Ecosystem Capabilities; Electric Vehicle Industry; Emerging Industries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837817
  • Filename
    6837817