IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v31y2018i2p137-168.html
   My bibliography  Save this article

Sustainability of the Indian auto rickshaw sector: identification of enablers and their interrelationship using TISM

Author

Listed:
  • Abhishek Behl
  • Paridhi Rathi
  • V.V. Ajith Kumar

Abstract

The present study is an attempt to identify the enablers to the sustainability of the auto rickshaw sector in India and model them using interpretive structural modelling (ISM) in order to establish inter relationships among them. Matriced' Impacts Croises-Multiplication Appliqué an Classment (MICMAC) analysis has been applied to identify the most dominant enabler(s). A total of 11 enablers have been identified from the extant literature. The resultant ISM model with four levels of hierarchy reveals that not all enablers require the same attention - the four enablers at the very bottom, namely 'Fleet-based operations', 'Adequate transport infrastructure', 'Robust planning and regulatory structure' and 'Adequate enforcement and monitoring' are the ones that drive most other enablers. Accordingly, the mix of fleet-based operations along with information and communications technology (ICT) infrastructure assumes urgency for enhancing door to door mobility and first and last mile connectivity of auto rickshaws. In addition, regulations pertaining to permits, emissions and safety also need urgent attention.

Suggested Citation

  • Abhishek Behl & Paridhi Rathi & V.V. Ajith Kumar, 2018. "Sustainability of the Indian auto rickshaw sector: identification of enablers and their interrelationship using TISM," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 31(2), pages 137-168.
  • Handle: RePEc:ids:ijsoma:v:31:y:2018:i:2:p:137-168
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=94750
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Behl, Abhishek & Singh, Ramandeep & Pereira, Vijay & Laker, Benjamin, 2023. "Analysis of Industry 4.0 and circular economy enablers: A step towards resilient sustainable operations management," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.

    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:ids:ijsoma:v:31:y:2018:i:2:p:137-168. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=150 .

    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.