Articles
Vol. 9 (2022)
Analysing the Elements that Affect People's Behavioural Intention to Adopt Autonomous Vehicles
Northampton University, Northampton NN1 5PH, UK
Abstract
Abstract: In order to get fresh insights into how behaviour is accepted at the individual and organisational levels, psychologists and sociologists have been studying the user acceptability of information technology for decades. Several techniques are used in the research's pragmatic approach, which is carried out in the phases that follow. In phase I, a preliminary survey with 408 individuals was used to identify the important variables impacting behavioural intention to use an autonomous vehicle (AV). Experts in the fields of psychology, sociology, and computer science were questioned. Finally, the hypothesis was defined after the model had been built. In phase II, a survey research methodology was used with an additional 482 individuals to empirically validate and improve the conceptual model. A tool for information visualisation was created in phase III to fill the gap between theoretical ideas and real-world business needs. According to the results, every construct in the conceptual model has a significant impact on consumers' behavioural intentions (BI) to embrace AVs. Based on our assessment, the researcher proposes a theoretical AV technology acceptance model (AVTAM) by incorporating these determinants into the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. This model takes into account self-efficacy, perceived safety, trust, anxiety, and legal regulations. The conclusion shows that the adoption of AV technology will be influenced by a number of factors, including the price of the equipment and the legal implications.
References
- World Bank Group. The World Bank Group A to Z 2015. World Bank Publications; 2014 Sep 30.
- World Health Organization. World report on road traffic injury prevention: summary. InWorld report on road traffic injury prevention: summary 2004 (pp. ix-52).
- Wei J, Snider JM, Kim J, Dolan JM, Rajkumar R, Litkouhi B. Towards a viable autonomous driving research platform. In2013 IEEE Intelligent Vehicles Symposium (IV) 2013 Jun 23 (pp. 763-770). IEEE. https://doi.org/10.1109/IVS.2013.6629559
- Lim HS, Taeihagh A. Autonomous vehicles for smart and sustainable cities: An in-depth exploration of privacy and cybersecurity implications. Energies. 2018 Apr 25; 11(5): 1062. https://doi.org/10.3390/en11051062
- Seba T. Clean disruption of energy and transportation: how silicon valley will make oil, nuclear, natural gas, coal, electric utilities and conventional cars obsolete by 2030. Tony Seba; 2014 Jun 27.
- Seuwou P, Banissi E, Ubakanma G. The future of mobility with connected and autonomous vehicles in smart cities. InDigital twin technologies and smart cities 2020 (pp. 37-52). Springer, Cham. https://doi.org/10.1007/978-3-030-18732-3_3
- Venkatesh V, Thong JY, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly. 2012 Mar 1: 157-78. https://doi.org/10.2307/41410412
- Osswald S, Wurhofer D, Trösterer S, Beck E, Tscheligi M. Predicting information technology usage in the car: towards a car technology acceptance model. InProceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications 2012 Oct 17 (pp. 51-58). https://doi.org/10.1145/2390256.2390264
- Zikmund WG. Business Research Method" Cincinnati, Ohio: Thomson/South Western. Malaysian Journal of Youth Studies. 2003; 106.
- Sekaran U, Bougie R. Research methods for business: A skill building approach. john wiley & sons; 2016 Jun 27.
- Hair Jr JF, Black, William C, Babin, Barry J, & Anderson, Rolph E. 2010. Multivariate data analysis. 2006: 77-9.
- Lambert LS. Book Review: Kline, RB (2004). Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research. Washington, DC: American Psychological Association. Organizational Research Methods. 2007 Oct; 10(4): 713-6. https://doi.org/10.1177/1094428107307913