Ride-hailing has emerged as one of the progressive sharing economy platforms. As a digital platform, both riders and drivers are critical to achieving sustainable ride-hailing transactions. Previous studies have gained little insight into ride-hailing services from drivers’ perspectives. This study investigates the salient factors that determine the usage of ride-hailing services among drivers in Malaysia by extending the technology acceptance model (TAM), introducing governmental regulations, and integrating perceived risk and trust into the model. We collected data from a total of 495 ride-hailing drivers across Malaysia. Our results suggest that a driver’s intention to use ride-hailing services is determined by perceived ease of use, perceived usefulness, and governmental regulations, which lead to actual usage. However, unexpectedly enough, the results signify that perceived risk does not affect the intention to use ride-hailing unless there is trust among the drivers. Overall, this paper draws attention to the substantial contrast in its results from the majority of prior TAM literature and has thoroughly improved the exploratory power of TAM by introducing new variables into the model, particularly from the perspective of ride-hailing drivers. This study is expected to bring theoretical and practical contributions to improve the country’s ride-hailing industry.
Ridesharing offers great benefits to its users. Although ridesharing literature has gained attention from researchers around the globe, the status quo of ridesharing literature especially among the riders and drivers still remains unclear. This literature review assesses recent ridesharing research to find out the regularity concerning determinants of ridesharing usage among riders and drivers. This review also explores the most preferred theoretical trends by ridesharing researchers as well as methodologies applied. Results show that customer satisfaction, service quality and trust were the most significantly researched factors in both the research streams. This review also portrays a steady progression of technology acceptance models up till the introduction of Technology Acceptance Model (TAM) and reveals quantitative mode as the most common mode of research. Finally, this analysis presents notable recommendations for upcoming ridesharing researchers.
The infancy of the ride-hailing industry in Malaysia and Pakistan has hindered their levels of participation among the users of these services. Therefore, this paper aims to investigate factors affecting the ride-hailing participation levels with the help of the Technology Acceptance Model (TAM). Survey questionnaires will be handed out among the users and the results will be initially evaluated using Structural Equation Modelling and further comparisons between the results from both the countries will be carried out through Multi-Group Analysis (MGA). The results are aimed to provide empirical and practical insights explaining the cause of low usage levels of the ride-hailing services in both countries. Additionally, the conclusion will produce clearer perspectives explaining the factor that most highly affects a user’s decision to use the service or otherwise. The results of this study are expected to help governmental authorities as well as the policymakers of ride-hailing services at implementing effective user-friendly strategies by improving the factors that might be negatively affecting a user’s participation decision.
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