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Consumer acceptance of the autonomous robot in last-mile delivery: A combined perspective of resource-matching, perceived risk and value theories

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  • Koh, Le Yi
  • Xia, Zhiyang
  • Yuen, Kum Fai

Abstract

Following the expansion of e-commerce, the need for transportation services has increased. Moreover, the pandemic has decreased in-person interaction, necessitating contactless technologies. The autonomous delivery robot (ADR) is one such contactless technology used in last-mile delivery (LMD). Hence, consumers’ acceptance of ADRs in last-mile service must be studied to promote the use of this innovative technology. This study investigates the factors influencing customers’ acceptance of ADRs in LMD and aid in resource allocation to encourage acceptance. A combination of resource-matching theory, perceived value theory, and perceived risk theory was applied to develop the theoretical model. The central premise is that customers’ intentions are motivated by the characteristics of ADRs, such as compatibility, reliability, privacy security, and convenience, through the channels of enhanced perceived value and lower perceived risk.. An online survey with 500 respondents was conducted in Singapore and structural model equation analysis was performed. The findings revealed that the effects of compatibility, convenience, privacy security, and reliability on consumer intention are fully mediated by perceived value and risk. This study enriches the literature on ADR acceptance in LMD by developing a holistic model and providing implications for promoting ADR adoption.

Suggested Citation

  • Koh, Le Yi & Xia, Zhiyang & Yuen, Kum Fai, 2024. "Consumer acceptance of the autonomous robot in last-mile delivery: A combined perspective of resource-matching, perceived risk and value theories," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:transa:v:182:y:2024:i:c:s0965856424000569
    DOI: 10.1016/j.tra.2024.104008
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    1. Shiu, Edward & Pervan, Simon J. & Bove, Liliana L. & Beatty, Sharon E., 2011. "Reflections on discriminant validity: Reexamining the Bove et al. (2009) findings," Journal of Business Research, Elsevier, vol. 64(5), pages 497-500, May.
    2. Yongping Zhong & Segu Oh & Hee Cheol Moon, 2021. "What Can Drive Consumers’ Dining-Out Behavior in China and Korea during the COVID-19 Pandemic?," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    3. Nikhil Menon & Yu Zhang & Abdul Rawoof Pinjari & Fred Mannering, 2020. "A statistical analysis of consumer perceptions towards automated vehicles and their intended adoption," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(3), pages 253-278, April.
    4. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    5. Nguyen Hong Quan & Nguyen Thi Binh & Bui Thi Ly, 2022. "Impact of smart locker use on customer satisfaction of online shoppers in Vietnam," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Min-Kyu Kwak & JeungSun Lee & Seong-Soo Cha, 2021. "Senior Consumer Motivations and Perceived Value of Robot Service Restaurants in Korea," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    8. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 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, Elsevier, vol. 148(C), pages 183-198.
    9. Tsai, Yao-Te & Tiwasing, Praewwanit, 2021. "Customers’ intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    10. Vakulenko, Yulia & Hellström, Daniel & Hjort, Klas, 2018. "What's in the parcel locker? Exploring customer value in e-commerce last mile delivery," Journal of Business Research, Elsevier, vol. 88(C), pages 421-427.
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