Consumer engagement with self-driving cars: a theory of planned behavior-informed perspectiveHollebeek, L. D., Menidjel, C., Itani, O. S., Clark, M. K. and Sigurdsson, V. (2023) Consumer engagement with self-driving cars: a theory of planned behavior-informed perspective. Asia Pacific Journal of Marketing and Logistics, 35 (8). pp. 2029-2046. ISSN 1355-5855
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1108/APJML-08-2022-0654 Abstract/SummaryPurpose This study investigates the mediating role of consumer engagement (CE) in the relationship between perceived behavioral control (PBC) and purchase intent and the moderating role of perceived safety in the relationship between PBC and CE in the self-driving car (SDC) context. Design/methodology/approach To test the model, a sample of 368 consumers was deployed using partial least-squares structural equation modeling (PLS-SEM). Findings The findings reveal that consumers' SDC engagement mediates the relationship between PBC and their intent to purchase an SDC. Consumer-perceived SDC safety also moderates the association of PBC/engagement. Originality/value While prior research has examined consumer-based drivers of SDC adoption, understanding of consumers' SDC engagement-related dynamics and outcomes lags behind. Addressing this gap, we propose and test a model that explores consumers' SDC engagement vis-à-vis its drivers (perceived SDC safety/behavioral control) and outcomes (SDC purchase intent).
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• Ajzen, I. (1991), “The theory of planned behavior”, Organizational Behavior and Human Decision Processes, Vol. 50 No. 2, pp. 179-211.
• Ajzen, I. and Fishbein, M. (1980), Understanding Attitudes and Predicting Social Behavior, Prentice Hall, Englewood Cliffs, NJ.
• Anderson, J., Kalra, N., Stanley, K., Sorensen, P., Samaras, C. and Oluwatola, O.A. (2016), Autonomous Vehicle Technology: A Guide for Policymakers, Rand Corporation, Santa Monica, CA.
• Baccarella, C., Wagner, T., Scheiner, C., Maier, L. and Voigt, K. (2020), “Investigating consumer acceptance of autonomous technologies: the case of self-driving automobiles”, European Journal of Innovation Management, Vol. 24 No. 4, pp. 1210-1232.
• Bates, L., Filtness, A. and Watson, B. (2018), “Driver education and licensing programs”, Lord, D. and Washington, S. (Eds.), Safe Mobility: Challenges, Methodology and Solutions, Emerald, pp. 13-36.
• Bitter, S., Grabner-Krauter, S. and Breitenecker, R. (2014), “Customer engagement behaviour in online social networks – the Facebook perspective”, International Journal of Networking and Virtual Organisations, Vol. 14 No. 1/2, pp. 197-220.
• Blut, M., Wang, C., Wünderlich, N. and Brock, C. (2021), “Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI”, Journal of the Academy of Marketing Science, Vol. 49 No. 4, pp. 632-658.
• Brodie, R., Hollebeek, L., Jurić, B. and Ilić, A. (2011), “Customer engagement: Conceptual domain, fundamental propositions, and implications for research”, Journal of Service Research, Vol. 14 No. 3, pp. 252-271.
• Chen, H. and Yan, D. (2019), “Interrelationships between influential factors and behavioral intention with regard to autonomous vehicles”, International Journal of Sustainable Transportation, Vol. 13 No. 7, pp. 511-527.
• Clark, H. and Feng, J. (2017), “Age differences in the takeover of vehicle control and engagement in non-driving-related activities in simulated driving with conditional automation”, Accident Analysis & Prevention, Vol. 106, pp. 468-479.
• Cohen, J. (1988), Statistical Power Analysis for the Behavioral Sciences, (2nd ed.), Lawrence Erlbaum Associates, Hillsdale, NJ.
• Collier, J. and Sherrell, D. (2010), “Examining the influence of control and convenience in a self-service setting”, Journal of the Academy of Marketing Science, Vol. 38 No. 4, pp. 490-509.
• Davis, F. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS quarterly, Vol. 13 No. 3, pp. 319-340.
• De Ruyter, K. and Semeijn, J. (2002), “Forging buyer-seller relationships for total quality management in international business: The case of the European cement industry”, Total Quality Management, Vol. 13 No. 3, pp. 403-417.
• Dogerlioglu-Demir, K., Akpinar, E. and Ceylan, M. (2022), “Combating the fear of COVID-19 through shared accommodations: Does perceived human presence create a sense of social connectedness?”, Journal of Consumer Behaviour, Vol. 21 No. 2, pp. 400-413.
• Featherman, M., Jia, S.J., Califf, C. and Hajli, N. (2021), “The impact of new technologies on consumers beliefs: Reducing the perceived risks of electric vehicle adoption”, Technological Forecasting and Social Change, Vol. 169, https://doi.org/10.1016/j.techfore.2021.120847.
• Fishbein, M. and Ajzen, I. (1975), Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA.
• Frazer, L. and Lawley, M. (2000), Questionnaire Design & Administration: A Practical Guide, Wiley.
• Fu, F., Richards, K., Hughes, D. and Jones, E. (2010), “Motivating salespeople to sell new products: The relative influence of attitudes, subjective norms, and self-efficacy”, Journal of Marketing, Vol. 74 No. 6, pp. 61-76.
• Gkartzonikas, C., Losada-Rojas, L.L., Christ, S., Pyrialakou, V. and Gkritza, K. (2022), “A multi-group analysis of the behavioral intention to ride in autonomous vehicles: evidence from three US metropolitan areas”, Transportation. https://doi.org/10.1007/s11116-021-10256-7.
• Guerreiro, J., Loureiro, S.M.C., Romero, J., Itani, O. and Eloy, S. (2022), “Transhumanism and engagement-facilitating technologies in society”, Journal of Promotion Management, Vol. 28 No.5, pp. 537-558.
• Ha, T., Kim, S., Seo, D. and Lee, S. (2020), “Effects of explanation types and perceived risk on trust in autonomous vehicles”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 73, pp. 271-280.
• Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis, (7th ed.), Pearson Prentice-Hall, Upper Saddle River, NJ.
• Hair, J.F., Hult, G.T., Ringle, C. and Sarstedt, M. (2017), A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), (2nd ed.), Sage, Thousand Oaks, CA.
• Hair, J.F., Page, M. and Brunsveld, N. (2020), Essentials of Business Research Methods, (4th ed.), Routledge, New York.
• Harrigan, P., Evers, U., Miles, M. and Daly, T. (2018), “Customer engagement and the relationship between involvement, engagement, self-brand connection and brand usage intent”, Journal of Business Research, Vol. 88, pp. 388-396.
• Henseler, J., Hubona, G. and Ray, P.A. (2016), “Using PLS path modeling in new technology research: updated guidelines”, Industrial Management & Data Systems, Vol. 116 No. 1, pp. 2-20.
• Herrmann, A., Brenner, W. and Stadler, R. (2018), Autonomous Driving: How the Driverless Revolution will Change the World. Emerald, UK.
• Hollebeek, L. and Belk, R.W. (2021), “¬¬¬¬¬¬Consumers’ technology-facilitated brand engagement and wellbeing: Positivist TAM/PERMA- vs. Consumer Culture Theory perspectives”, International Journal of Research in Marketing, Vol. 38 No. 2, pp. 387-401.
• Hollebeek, L., Abbasi, A.Z., Schultz, C., Ting, D. and Sigurdsson, V. (2022a), “Hedonic consumption experience in videogaming: A multidimensional perspective”, Journal of Retailing and Consumer Services, Vol. 65, https://doi.org/10.1016/j.jretconser.2021.102892.
• Hollebeek, L., Glynn, M. and Brodie, R. (2014), “Consumer brand engagement in social media: Conceptualization, scale development and validation”, Journal of Interactive Marketing, Vol. 28 No. 2, pp. 149-165.
• Hollebeek, L., Sprott, D. and Brady, M. (2021), “Rise of the machines? Customer engagement in automated service interactions”, Journal of Service Research, Vol. 24 No. 1, pp. 3-8.
• Hollebeek, L., Sprott, D., Sigurdsson, V. and Clark, M. (2022b), “Social influence and stakeholder engagement behavior conformity, compliance, and reactance”, Psychology & Marketing, Vol. 39 No. 1, pp. 90-100.
• Huang, Y., Zhang, M., Gursoy, D. and Shi, S. (2020), “An examination of interactive effects of employees’ warmth and competence and service failure types on customer’s service recovery cooperation intention,” International Journal of Contemporary Hospitality Management, Vol. 32 No. 7, pp. 2429-2451.
• Jiang, Y., Naqvi, M.H. and Naqvi, M.H.A. (2020), “Psychological predictors of Facebook use: a literature review”, International Journal of Management, Economics and Social Sciences, Vol. 9 No. 2, pp. 113-130.
• Jing, P., Huang, H., Ran, B., Zhan, F. and Shi, Y. (2019), “Exploring the factors affecting mode choice Intention of autonomous vehicle based on an extended theory of planned behavior—A case study in China”, Sustainability, Vol. 11 No. 4, pp. 1-20.
• Jörling, M., Böhm, R. and Paluch, S. (2019), “Service robots: Drivers of perceived responsibility for service outcomes”, Journal of Service Research, Vol. 22 No. 4, pp. 404-420.
• Kapser, S., Abdelrahman, M. and Bernecker, T. (2021), “Autonomous delivery vehicles to fight the spread of Covid-19–How do men and women differ in their acceptance?”, Transportation Research Part A: Policy and Practice, Vol. 148, pp. 183-198.
• Kenny, D.A. (2018), “Moderation”, available at: http://davidakenny.net/cm/moderation.htm accessed 15 March 2022.
• King, D. and Auschaitrakul, S. (2021), “Affect‐based nonconscious signaling: When do consumers prefer negative branding?” Psychology & Marketing, Vol. 38 No. 2, pp. 338-358.
• Kumar, V., Rajan, B., Gupta, S. and Dalla Pozza, I. (2019), “Customer engagement in service”, Journal of the Academy of Marketing Science, Vol. 47 No. 1, pp. 138-160.
• Lee, J., Lee, D., Park, Y., Lee, S. and Ha, T. (2019), “Autonomous vehicles can be shared, but a feeling of ownership is important: Examination of the influential factors for intention to use autonomous vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 107, pp. 411-422.
• Liao, H. (2007), “Do it right this time: The role of employee service recovery performance in customer-perceived justice and customer loyalty after service failures,” Journal of Applied Psychology, Vol. 92 No. 2, pp. 475-489.
• McCausland, P. (2019), “Self-driving Uber car that hit and killed woman did not recognize that pedestrians jaywalk”, available at: https://www.nbcnews.com/tech/tech-news/self-driving-uber-car-hit-killed-woman-did-not-recognize-n1079281 accessed 26 March 2022.
• Menidjel, C., Hollebeek, L.D., Leppiman, A. and Riivits-Arkonsuo I. (2022), “Role of AI in enhancing customer engagement, loyalty, and loyalty program performance”, in De Ruyter, K., Keeling, D. and Cox, D. (Eds.), The Handbook of Research on Customer Loyalty, Edward Elgar, London.
• Meyer-Waarden, L. and Cloarec, J. (2022), ““Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles”, Technovation, 109, https://doi.org/10.1016/j.technovation.2021.102348.
• Munaro, A., Hübner Barcelos, R., Francisco Maffezzolli, E., Santos Rodrigues, J. and Cabrera-Paraiso, E. (2021), “To engage or not engage? The features of video content on YouTube affecting digital consumer engagement”, Journal of Consumer Behaviour, Vol. 20 No. 5, pp. 1336-1352.
• Naqvi, M.H.A., Jiang, Y. and Naqvi, M. (2021a), “Generating customer engagement in electronic-brand communities: a stimulus–organism–response perspective”, Asia Pacific Journal of Marketing and Logistics, Vol. 33 No. 7, pp. 1535-1555.
• Naqvi, M.H., Li, S., Jiang, Y. and Naqvi, M.H.A. (2019), “The rise of social networking sites: an empirical investigation applying demographic differences and the technology acceptance model”, Asia Pacific Journal of Marketing and Logistics, Vol. 32 No. 1, pp. 232-252.
• Naqvi, M.H.A., Jiang, Y., Miao, M. and Naqvi, M.H. (2020), “The effect of social influence, trust, and entertainment value on social media use: Evidence from Pakistan”, Cogent Business & Management, Vol. 7 No. 1. https://doi.org/10.1080/23311975.2020.1723825.
• Naqvi, M.H., Guoyan, S. and Naqvi, M.H.A. (2021b), “Measuring the influence of web features in the online gamification environment: a multimediation approach”, Wireless Communications and Mobile Computing. https://doi.org/10.1155/2021/3213981.
• Nielsen, T. and Haustein, S. (2018), “On sceptics and enthusiasts: What are the expectations towards self-driving cars?”, Transport Policy, Vol. 66, pp. 49-55.
• Nunes, A., Reimer, B. and Coughlin, J. (2018), “People must retain control of autonomous vehicles”, Nature, Vol. 556, pp. 169-171.
• Osswald, S., Wurhofer, D., Trösterer, S., et al. (2012), “Predicting information technology usage in the car: towards a car technology acceptance model”, in Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 51-58.
• Pansari, A. and Kumar, V. (2017), “Customer engagement: the construct, antecedents, and consequences”, Journal of the Academy of Marketing Science, Vol. 45 No. 3, pp. 294-311.
• Papagiannidis, S., See-To, E. and Bourlakis, M. (2014), “Virtual test-driving: The impact of simulated products on purchase intention”, Journal of Retailing and Consumer Services, Vol. 21 No. 5, pp. 877-887.
• Parasuraman, A. (2000), “Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies”, Journal of Service Research, Vol. 2 No. 4, pp. 307-320.
• Park, J., Hong, E. and Le, H. (2021), “Adopting autonomous vehicles: The moderating effects of demographic variables”, Journal of Retailing and Consumer Services, Vol. 63, https://doi.org/10.1016/j.jretconser.2021.102687.
• Park, S., Kim, K. and O’Neill, M. (2014), “Complaint behavior intentions and expectation of service recovery in individualistic and collectivistic cultures”, International Journal of Culture, Tourism and Hospitality Research, Vol. 8 No. 3, pp. 255-271.
• Parkinson, J., David, P. and Rundle-Thiele, S. (2017), “Self-efficacy or perceived behavioural control: Which influences consumers’ physical activity and healthful eating behaviour maintenance?”, Journal of Consumer Behaviour, Vol. 16 No. 5, pp. 413-423.
• Payre, W., Birrell, S. and Parkes, A.M. (2021), “Although autonomous cars are not yet manufactured, their acceptance already is”, Theoretical Issues in Ergonomics Science, Vol. 22 No. 5, pp. 567-580.
• Poo, B. and Dalziel, N. (2016), “Consumer perceptions towards radical innovation: Autonomous cars”, in British Academy of Management Conference Proceedings, available at: https://eprints.staffs.ac.uk/2487/1/Dalziel_Poo_BAM2016.pdf accessed 3 April 2022.
• Raimondo, M. and Farace, S. (2013), “Customer attitude and dispositions toward customized products: The interaction between customization model and brand”, Journal of Interactive Marketing, Vol. 27 No. 3, pp. 209-225.
• Rather, R., Hollebeek, L., Vo-Thanh, T., et al. (2022), “Shaping customer brand loyalty during the pandemic: The role of brand credibility, value congruence, experience, identification, and engagement”, Journal of Consumer Behaviour, https://doi.org/10.1002/cb.2070.
• Roy, V., Tata, S. and Parsad, C. (2018), “Consumer response to brand involved in food safety scandal: An exploratory study base on a recent scandal in India”, Journal of Consumer Behaviour, Vol. 17 No. 1, pp. 25-33.
• Schneble, C. and Shaw, D. (2021), “Driver’s views on driverless vehicles: Public perspectives on defining and using autonomous cars”, Transportation Research Interdisciplinary Perspectives, Vol. 11, https://doi.org/10.1016/j.trip.2021.100446.
• Sembada, A. and Koay, K. (2021), “How perceived behavioral control affects trust to purchase in social media stores”, Journal of Business Research, Vol. 130, pp. 574-582.
• Sestino, A., Peluso, A.M., Amatulli, C. and Guido, G. (2022), “Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars”, Technology in Society, Vol. 70. https://doi.org/10.1016/j.techsoc.2022.102017.
• Shetty, A., Yu, M., Kurzhanskiy, A., Grembek, O., Tavafoghi, H. and Varaiya, P. (2021), “Safety challenges for autonomous vehicles in the absence of connectivity”, Transportation Research Part C: Emerging Technologies, Vol. 128, https://doi.org/10.1016/j.trc.2021.103133.
• Sparrow, R. and Howard, M. (2017), “When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport”, Transportation Research Part C: Emerging Technologies, Vol. 80, pp. 206-215.
• Tyagi, A.K. and Aswathy, S. (2021), “Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future”, International Journal of Intelligent Networks, Vol. 2, pp. 83-102.
• Villagra, N., Monfort, A. and Sánchez Herrera, J. (2021), “The mediating role of brand trust in the relationship between brand personality and brand loyalty”, Journal of Consumer Behaviour, Vol. 20 No. 5, pp. 1153-1163.
• Vivek, S., Beatty, S. and Dalela, V. (2014), “A generalized multidimensional scale for measuring customer engagement”, Journal of Marketing Theory and Practice, Vol. 22 No. 4, pp. 401-420.
• Waymo (2022), https://waymo.com/ accessed 17 April 2022.
• Xu, Z., Zhang, K., Min, H., Wang, Z., Zhao, X. and Liu, P. (2018), “What drives people to accept automated vehicles? Findings from a field experiment”, Transportation Research Part C: Emerging Technologies, Vol. 95, pp. 320-334.
• Yang, K. (2012), “Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior”, Journal of Retailing and Consumer Services, Vol. 19 No. 5, pp. 484-491.
• Yushi, J., Naqvi, M.H.A. and Naqvi, M.H. (2018), “Using social influence processes and psychological factors to measure pervasive adoption of social networking sites: Evidence from Pakistan”, Emerging Markets Finance and Trade, Vol. 54 No. 15, pp. 3485-3499.
• Zeithaml, V.A., Berry, L.L. and Parasuraman, A. (1996), “The behavioral consequences of service quality”, Journal of Marketing, Vol. 60 No. 2, pp. 31-46.
• Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R. and Zhang, W. (2019), “The roles of initial trust and perceived risk in public’s acceptance of automated vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 98, pp. 207-220.
• Zhang, T., Tao, D., Qu, X., Zhang, X., Zeng, J., Zhu, H. and Zhu, H. (2020), “Automated vehicle acceptance in China: Social influence and initial trust are key determinants”, Transportation Research Part C: Emerging Technologies, Vol. 112, pp. 220-233.
• Zhao, J., Liang, B. and Chen, Q. (2018), “The key technology toward the self-driving car,” International Journal of Intelligent Unmanned Systems, Vol. 6 No. 1, pp. 2-20. University Staff: Request a correction | Centaur Editors: Update this record |