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Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars

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  • Sestino, Andrea
  • Peluso, Alessandro M.
  • Amatulli, Cesare
  • Guido, Gianluigi

Abstract

This paper investigates the roles of product intelligence, change seeking, and behavioral control in determining consumers’ intention to use Artificial Intelligence-based self-driving cars. In an experimental study conducted with a sample of 343 respondents, we show that consumers might feel more in control when driving such cars, and such an increased sense of behavioral control, in turn, is associated with an increased intention to use them. This likely happens because such vehicles are perceived as intelligent entities that allow drivers to personalize their driving experiences. However, this effect is significant only among individuals with a greater change seeking tendency, who thus are more inclined to try new experiences.

Suggested Citation

  • Sestino, Andrea & Peluso, Alessandro M. & Amatulli, Cesare & Guido, Gianluigi, 2022. "Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars," Technology in Society, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:teinso:v:70:y:2022:i:c:s0160791x22001580
    DOI: 10.1016/j.techsoc.2022.102017
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    References listed on IDEAS

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    1. Jacob Goldenberg & Donald R. Lehmann & David Mazursky, 2001. "The Idea Itself and the Circumstances of Its Emergence as Predictors of New Product Success," Management Science, INFORMS, vol. 47(1), pages 69-84, January.
    2. David Dubois & Ena Inesi & Simona Botti & Derek D. Rucker & Adam D. Galinsky, 2011. "Power and Choice: Their Dynamic Interplay in Quenching the Thirst for Personal Control," Post-Print hal-00696608, HAL.
    3. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2016. "How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 374-385.
    4. Marina Van Geenhuizen & Peter Nijkamp, 2003. "Coping with uncertainty: an expedition into the field of new transport technology," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(6), pages 449-467, December.
    5. Sestino, Andrea & Prete, Maria Irene & Piper, Luigi & Guido, Gianluigi, 2020. "Internet of Things and Big Data as enablers for business digitalization strategies," Technovation, Elsevier, vol. 98(C).
    6. Jung, Yoonhyuk & Park, Jonghwa, 2018. "An investigation of relationships among privacy concerns, affective responses, and coping behaviors in location-based services," International Journal of Information Management, Elsevier, vol. 43(C), pages 15-24.
    7. Weina Qu & Hongli Sun & Yan Ge, 2021. "The effects of trait anxiety and the big five personality traits on self-driving car acceptance," Transportation, Springer, vol. 48(5), pages 2663-2679, October.
    8. Marlous Blankesteijn & Frank De Jong & Bart Bossink, 2019. "Closed-open innovation strategy for autonomous vehicle development," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 19(1/2), pages 74-103.
    9. Peluso, Alessandro M. & Bonezzi, Andrea & De Angelis, Matteo & Rucker, Derek D., 2017. "Compensatory word of mouth: Advice as a device to restore control," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 499-515.
    10. Patrick van Esch & Yuanyuan (Gina) Cui, 2021. "Does Consumer Promiscuity Influence Purchase Intent? The Role of Artificial Intelligence (AI), Change Seeking, and Pride," Journal of the Association for Consumer Research, University of Chicago Press, vol. 6(3), pages 394-401.
    11. Skeete, Jean-Paul, 2018. "Level 5 autonomy: The new face of disruption in road transport," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 22-34.
    12. Keisha M. Cutright & Adriana Samper, 2014. "Doing It the Hard Way: How Low Control Drives Preferences for High-Effort Products and Services," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(3), pages 730-745.
    13. Lucia-Palacios, Laura & Pérez-López, Raúl, 2021. "Effects of Home Voice Assistants' Autonomy on Instrusiveness and Usefulness: Direct, Indirect, and Moderating Effects of Interactivity," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 41-54.
    14. Rijsdijk, S.A. & Hultink, E.J. & Diamantopoulos, A., 2007. "Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction," ERIM Report Series Research in Management ERS-2007-006-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    1. Yu‐Min Wang & Wan‐Ching Chiu & Chung‐Lun Wei & Hsing‐Hsien Wang & Jih‐Hua Yang & Yi‐Shun Wang, 2024. "What drives consumers' intention to purchase self‐driving cars," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 1773-1792, June.
    2. Mamak, Kamil & Glanc, Jadwiga, 2022. "Problems with the prospective connected autonomous vehicles regulation: Finding a fair balance versus the instinct for self-preservation," Technology in Society, Elsevier, vol. 71(C).
    3. Irgang, Luís & Sestino, Andrea & Barth, Henrik & Holmén, Magnus, 2025. "Healthcare workers' adoption of and satisfaction with artificial intelligence: The counterintuitive role of paradoxical tensions and paradoxical mindset," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    4. Li, Sixian & Peluso, Alessandro M. & Duan, Jinyun, 2023. "Why do we prefer humans to artificial intelligence in telemarketing? A mind perception explanation," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).

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