A model for the adoption of transport management systems in the South African taxi industry

Background: From the Information Systems (IS) research perspective, the war between the e-hailing entrepreneurs and metered taxi operators in South Africa is a fight between technology innovators and laggards of the technology. The metered taxi operators are resisting to adopt e-hailing platforms an...

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Main Authors: Lovemore Motsi, Baldreck Chipangura, Nyaradzo Musanhi
Format: Article
Language:English
Published: AOSIS 2023-12-01
Series:South African Journal of Information Management
Subjects:
Online Access:https://sajim.co.za/index.php/sajim/article/view/1713
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author Lovemore Motsi
Baldreck Chipangura
Nyaradzo Musanhi
author_facet Lovemore Motsi
Baldreck Chipangura
Nyaradzo Musanhi
author_sort Lovemore Motsi
collection DOAJ
description Background: From the Information Systems (IS) research perspective, the war between the e-hailing entrepreneurs and metered taxi operators in South Africa is a fight between technology innovators and laggards of the technology. The metered taxi operators are resisting to adopt e-hailing platforms and are fighting e-hailing entrepreneurs from using the technology. To find an amicable solution to the war, factors that affect the adoption of e-hailing platforms by metered taxi operators should be understood. Objectives: The objective of the study is to identify factors that influence the adoption of e-hailing platforms by metered taxi operators. Method: The technology acceptance model (TAM) was adopted and adapted as a lens to understand technology adoption by metered taxi operators. Quantitative data were collected through an online survey and 253 metered taxi entrepreneurs responded with usable data. The respondents were all from Sandton city, Gauteng Province of South Africa. Results: The study found significant and insignificant factors that influence metered taxi operators to adopt e-hailing platforms. It was found that perceived safety (PS) and perceived cost (PC) of adopting e-hailing platform were significant on attitude towards use of e-hailing platform (ATUeHP), and ATUeHP was significant on behavioural intention to use e-hailing platforms (BIUeHP). The BIUeHP was significant on the actual usage of e-hailing platform (AUeHP). However, Pearson’s r value was 0.113 for the perceived ease of use (PEOU) and ATUeHP, which is not statistically significant. With a Pearson’s r value of 0.053, perceived accessibility, perceived convenience (PCA) and ATUeHP are not statistically significant. Conclusion: Taxi entrepreneurs’ attitudes towards the adoption of e-hailing platforms are influenced by a number of factors, and these include cost, usability and safety as well as their perceptions of accessibility and convenience. Contribution: The findings of this study will thus be crucial to the South African taxi sector because they will serve as the foundation for the development of a new research framework. This theoretical framework acts as a guideline for the adoption of transport management systems in the South African taxi industry.
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spelling doaj.art-b8d1f1641d834264861ac485802b64562024-01-10T13:08:54ZengAOSISSouth African Journal of Information Management2078-18651560-683X2023-12-01251e1e1010.4102/sajim.v25i1.1713768A model for the adoption of transport management systems in the South African taxi industryLovemore Motsi0Baldreck Chipangura1Nyaradzo Musanhi2School of Computing, College of Science, Engineering and Technology, University of South Africa, JohannesburgSchool of Computing, College of Science, Engineering and Technology, University of South Africa, JohannesburgSchool of Computing, College of Science, Engineering and Technology, University of South Africa, JohannesburgBackground: From the Information Systems (IS) research perspective, the war between the e-hailing entrepreneurs and metered taxi operators in South Africa is a fight between technology innovators and laggards of the technology. The metered taxi operators are resisting to adopt e-hailing platforms and are fighting e-hailing entrepreneurs from using the technology. To find an amicable solution to the war, factors that affect the adoption of e-hailing platforms by metered taxi operators should be understood. Objectives: The objective of the study is to identify factors that influence the adoption of e-hailing platforms by metered taxi operators. Method: The technology acceptance model (TAM) was adopted and adapted as a lens to understand technology adoption by metered taxi operators. Quantitative data were collected through an online survey and 253 metered taxi entrepreneurs responded with usable data. The respondents were all from Sandton city, Gauteng Province of South Africa. Results: The study found significant and insignificant factors that influence metered taxi operators to adopt e-hailing platforms. It was found that perceived safety (PS) and perceived cost (PC) of adopting e-hailing platform were significant on attitude towards use of e-hailing platform (ATUeHP), and ATUeHP was significant on behavioural intention to use e-hailing platforms (BIUeHP). The BIUeHP was significant on the actual usage of e-hailing platform (AUeHP). However, Pearson’s r value was 0.113 for the perceived ease of use (PEOU) and ATUeHP, which is not statistically significant. With a Pearson’s r value of 0.053, perceived accessibility, perceived convenience (PCA) and ATUeHP are not statistically significant. Conclusion: Taxi entrepreneurs’ attitudes towards the adoption of e-hailing platforms are influenced by a number of factors, and these include cost, usability and safety as well as their perceptions of accessibility and convenience. Contribution: The findings of this study will thus be crucial to the South African taxi sector because they will serve as the foundation for the development of a new research framework. This theoretical framework acts as a guideline for the adoption of transport management systems in the South African taxi industry.https://sajim.co.za/index.php/sajim/article/view/1713tamtaxi industry transport management systemsubersouth africataxi entrepreneurs
spellingShingle Lovemore Motsi
Baldreck Chipangura
Nyaradzo Musanhi
A model for the adoption of transport management systems in the South African taxi industry
South African Journal of Information Management
tam
taxi industry transport management systems
uber
south africa
taxi entrepreneurs
title A model for the adoption of transport management systems in the South African taxi industry
title_full A model for the adoption of transport management systems in the South African taxi industry
title_fullStr A model for the adoption of transport management systems in the South African taxi industry
title_full_unstemmed A model for the adoption of transport management systems in the South African taxi industry
title_short A model for the adoption of transport management systems in the South African taxi industry
title_sort model for the adoption of transport management systems in the south african taxi industry
topic tam
taxi industry transport management systems
uber
south africa
taxi entrepreneurs
url https://sajim.co.za/index.php/sajim/article/view/1713
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