Original Research

Factors influencing taxi entrepreneurs to adopt intelligent transport management systems

Lovemore Motsi, Baldreck Chipangura
Journal of Transport and Supply Chain Management | Vol 18 | a1042 | DOI: https://doi.org/10.4102/jtscm.v18i0.1042 | © 2024 Lovemore Motsi, Baldreck Chipangura | This work is licensed under CC Attribution 4.0
Submitted: 04 April 2024 | Published: 19 September 2024

About the author(s)

Lovemore Motsi, School of Computing, College of Science, Engineering and Technology, University of South Africa, Florida, South Africa
Baldreck Chipangura, School of Computing, College of Science, Engineering and Technology, University of South Africa, Florida, South Africa

Abstract

Background: Transporting the urban population in South African cities is chaotic because of traffic congestion, and one possible solution is the adoption of transport management systems to manage the timely picking and dropping of passengers by metered taxi operators.

Objectives: This study examined factors that influence the South African metered taxi entrepreneurs’ willingness to adopt transport management systems (TWTMS).

Method: This is a quantitative study that collected data from 253 metered taxi entrepreneurs from Sandton in the Johannesburg metropolitan area, South Africa. This study tested 14 hypotheses using regression analysis.

Results: Attitude towards use had an insignificant relation with behavioural intention (BI); however, BI had a significant relationship with TWTMS. There were four factors that directly determined BI, which are perceived usefulness, perceived safety, perceived convenience and perceived trust.

Conclusion: The results of this study suggest that taxi entrepreneurs will adopt transport management systems if they find the system useful, safe to use, convenient and trustworthy.

Contribution: This study uncovered factors that influence the adoption of transport management systems by metered taxi entrepreneurs. Therefore, software developers should incorporate these factors when designing transport management systems so that acceptance can be improved.


Keywords

technology acceptance model; transport management systems; taxi entrepreneurs; e-hailing; adoption; transport; South Africa

JEL Codes

L91: Transportation: General

Sustainable Development Goal

Goal 9: Industry, innovation and infrastructure

Metrics

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