• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2013 Vol.4(2): 259-264 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2013.V4.402

Holistic Methodology to Analyze EV Business Models

Ma Jun and Alberto Di Muro

Abstract— Climate changes, global population growth, rise of the oil price and sustainability issue are pushing the automotive industry to redefine the concept of mobility. The solution seems to be the battery-powered electric vehicles. Business models related with EV mobility have already been developed but the still unstable EV market will bring out to new possible options and related new business models. This paper aims to illustrate a simple methodology to analyze current EV business models and start to rethink about them in order to develop possible improvements or directly design new solutions. All the systems that act in the electric-based mobility will be considered as a global system, using a holistic approach. The methodology is based on two correlated analysis: the morphological box analysis and the scoring methodology. In the end, the whole method is applied to two different EV business cases and the results will be discussed.

Index Terms— Electric vehicle, business model, morphological box, scoring method.

Ma Jun is with the Automotive School of studies at Tongji University (PRC) (e-mail: majun@gmx.net).
Alberto Di Muro is with the Automotive School of studies at Tongji University (PRC) (e-mail:alberto.dimuro1588@gmail.com).

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Cite: Ma Jun and Alberto Di Muro, " Holistic Methodology to Analyze EV Business Models," International Journal of Innovation, Management and Technology vol. 4, no. 2, pp. 259-264, 2013.

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