Modelling the Use of Grabcar Ridesharing Services
Nurul Syima’ Mat Nah1, Sarina Ismail2, T. Ramayah3, Zuha Rusafila Abu Hassan4, Jalal Rajeh Hanaysha5
1Nurul Syima’ Mat Nah, School of Maritime Business and Management, Universti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia.
2Sarina Ismail, School of Maritime Business and Management, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia.
3T.Ramayah, School of Management, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
4Zuha Rusafila Abu Hassan, School of Maritime Business and Management, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia.
5Jalal Rajeh Hanaysha, College of Administrative Sciences and Informatics, Palestine Polytechnic University, Hebron, Palestine.
Manuscript received on 27 June 2019 | Revised Manuscript received on 15 July 2019 | Manuscript Published on 26 July 2019 | PP: 316-323 | Volume-8 Issue-2S2 July 2019 | Retrieval Number: B10550782S219/2019©BEIESP | DOI: 10.35940/ijrte.B1055.0782S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Over the years Grabcar has become the most popular ridesharing services transportation technology-based application e-hailing that match passenger expectation on transportation services. Grabcar has managed to enter Malaysia’s market because, during that time, the Malaysia taxi industry was experiencing severe issues related to safety, intimidation of passengers and also poor services. In order to understand the passengers’ intentions toward these services, the Theory of Planned Behaviour Model (TPB) has been incorporated into this study to understand more about how passengers’ intentions can be shaped. Using a purposive sampling method, a total of 227 respondents were involved in this study. Smart-PLS (v 3.2.8) was used in order to analyse the relationship between three constructs (attitude, social influence and safety) and passenger intention to use Grabcar. Overall, the result showed that all of the stated factors have a positive relationship with intention.
Keywords: TPB, Intention, Attitude, Safety, Social Influence, Ridesharing Services.
Scope of the Article: Numerical Modelling of Structures