IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v185y2024ics1366554524000978.html
   My bibliography  Save this article

Where there is a will there is a way: A strategy analysis for electric vehicles sales in India

Author

Listed:
  • Vimal, K.E.K.
  • Goel, Pooja
  • Sharma, Nitika
  • Mathiyazhagan, K.
  • Luthra, Sunil

Abstract

The present study evaluates the strategies to promote Electric Vehicles (EVs) sales in India. Through the triangulation process of exhaustive literature review, expert opinions, and the support of a knowledgeable team, 12 potential strategies based on Motivation-Opportunity-Ability (MOA) theory to improve electric vehicle sales are developed. The developed plans are evaluated using Total Interpretive Structural Modeling (TISM) and Matriced’ Impacts Croisés Multiplication Appliquée áun Classement (MICMAC) analysis. The TISM method is used to examine the strategies and understand the interrelationships among them to develop an adoption model. MICMAC analysis is used to categorize strategies on the ground of driving and dependence power. The results indicate that infrastructure development, manpower development, and establishment of driving schools/centers are the most effective strategies. These strategies can have a significant impact on improving sales of EVs and might also influence other proposed strategies. The development of a structural model and categorization is used to propose a roadmap for strategies adopted to enhance sales. The present results can be extended to other developing economies. Marketers and policymakers are acknowledging the importance of embracing EVs as central to future mobility and the present study triangularly (in-depth interviews, literature review, and empirically) guides the mobility of EVs.

Suggested Citation

  • Vimal, K.E.K. & Goel, Pooja & Sharma, Nitika & Mathiyazhagan, K. & Luthra, Sunil, 2024. "Where there is a will there is a way: A strategy analysis for electric vehicles sales in India," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
  • Handle: RePEc:eee:transe:v:185:y:2024:i:c:s1366554524000978
    DOI: 10.1016/j.tre.2024.103506
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554524000978
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2024.103506?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 search for a different version of it.

    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:transe:v:185:y:2024:i:c:s1366554524000978. 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.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.