Modeling User Acceptance of In-Vehicle Applications for Safer Road Environment

Siti Fatimah Abdul Razak, Sumendra Yogarayan, Mohd Fikri Azli Abdullah and Afizan Azman
Additional contact information
Siti Fatimah Abdul Razak: Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia
Sumendra Yogarayan: Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia
Mohd Fikri Azli Abdullah: Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia
Afizan Azman: Faculty of Digital Technology and Media, Universiti Melaka, Melaka 78200, Malaysia

Future Internet, 2022, vol. 14, issue 5, 1-21

Abstract: Driver acceptance studies are vital from the manufacturer’s perspective as well as the driver’s perspective. Most empirical investigations are limited to populations in the United States and Europe. Asian communities, particularly in Southeast Asia, which make for a large proportion of global car users, are underrepresented. To better understand the user acceptance toward in-vehicle applications, additional factors need to be included in order to complement the existing constructs in the Technology Acceptance Model (TAM). Hypotheses were developed and survey items were designed to validate the constructs in the research model. A total of 308 responses were received among Malaysians via convenience sampling and analyzed using linear and non-linear regression analyses. Apart from that, a mediating effect analysis was also performed to assess the indirect effect a variable has on another associated variable. We extended the TAM by including personal characteristics, system characteristics, social influence and trust, which could influence users’ intention to use the in-vehicle applications. We found that users from Malaysia are more likely to accept in-vehicle applications when they have the information about the system and believe that the applications are reliable and give an advantage in their driving experience. Without addressing the user acceptance, the adoption of the applications may progress more slowly, with the additional unfortunate result that potentially avoidable crashes will continue to occur.

Keywords: in-vehicle application; driver assistance; technology acceptance; regression analysis; statistical evaluation; significance tests (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/14/5/148/pdf (application/pdf)
https://www.mdpi.com/1999-5903/14/5/148/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:14:y:2022:i:5:p:148-:d:813523

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().