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

Behl, A, Rathi, P and Kumar, A (2018) Sustainability of the Indian auto rickshaw sector: identification of enablers and their interrelationship using TISM. International Journal of Services and Operations Management, 31 (2). p. 137. ISSN 1744-2370

[thumbnail of 2.pdf] Text
2.pdf - Published Version

Download (420kB)

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.

Affiliation: Skyline University College
SUC Author(s): Kumar, A ORCID: https://orcid.org/0000-0002-7202-5165
All Author(s): Behl, A, Rathi, P and Kumar, A
Item Type: Article
Uncontrolled Keywords: enablers; total interpretive structural model; TISM; MICMAC; sustainable transportation; AutoRickshaw; India; urban transportation
Subjects: A Business and Management > AV Sustainable Development
Divisions: Skyline University College > School of Business
Depositing User: Mr SUC Library
Date Deposited: 25 May 2022 07:49
Last Modified: 13 Jun 2022 09:19
URI: https://research.skylineuniversity.ac.ae/id/eprint/218
Publisher URL: https://doi.org/10.1504/IJSOM.2018.094750
Publisher OA policy: https://v2.sherpa.ac.uk/id/publication/4511
Related URLs:

Actions (login required)

View Item
View Item
Statistics for SkyRep ePrint 218 Statistics for this ePrint Item