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Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter?

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  • Osakwe, Christian Nedu
  • Hudik, Marek
  • Říha, David
  • Stros, Michael
  • Ramayah, T.

Abstract

Uncrewed Aerial Vehicle (UAV), commonly known as a drone, has become popular in military and recreational circles. Although their usage in commerce is relatively low, a continuous rise in commercial use, especially for last-mile delivery, in the future is anticipated. Consequently, there is a necessity for a greater understanding of consumers' readiness to accept the latest technological application to increase knowledge, business, and managerial practice. Specifically, this study aims to investigate consumers’ intentions to deploy drones for last-mile delivery. The study applies the social cognitive theory and the model of goal-directed behaviour. It investigates the effect of outcome expectancy, lifestyle compatibility, perceived self-efficacy, consumer attitude, and the desire of usage for delivery drones among European millennial consumers. Additionally, it examines whether delivery risk moderates the influence of attitude and desire to use delivery drones. The authors discovered that the aforementioned are positively related to consumer attitude. Consumer attitude as such is positively associated with the desire and intention to use this method of delivery. Furthermore, the intention to use drone delivery is positively influenced by the desire for this delivery, outcome expectancy, and lifestyle compatibility. These findings indicate the importance of desire and lifestyle compatibility as predictors. At the theoretical level, the results support the perspective that social cognitive theory, together with the model of goal-directed behaviour, is an adequate framework to account for consumer intentions.

Suggested Citation

  • Osakwe, Christian Nedu & Hudik, Marek & Říha, David & Stros, Michael & Ramayah, T., 2022. "Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:joreco:v:65:y:2022:i:c:s0969698921004318
    DOI: 10.1016/j.jretconser.2021.102865
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    Cited by:

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    2. Marlena Robakowska & Daniel Ślęzak & Przemysław Żuratyński & Anna Tyrańska-Fobke & Piotr Robakowski & Paweł Prędkiewicz & Katarzyna Zorena, 2022. "Possibilities of Using UAVs in Pre-Hospital Security for Medical Emergencies," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    3. Sham, Rohana & Chong, Han Xi & Cheng-Xi Aw, Eugene & Bibi Tkm Thangal, Thahira & Abdamia, Noranita binti, 2023. "Switching up the delivery game: Understanding switching intention to retail drone delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Jiang, Yi & Lai, Po-Lin & Yang, Ching-Chiao & Wang, Xinchen, 2023. "Exploring the factors that drive consumers to use contactless delivery services in the context of the continued COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    5. Alrawad, Mahmaod & Lutfi, Abdalwali & Alyatama, Sundus & Al Khattab, Adel & Alsoboa, Sliman S. & Almaiah, Mohammed Amin & Ramadan, Mujtaba Hashim & Arafa, Hussin Mostafa & Ahmed, Nazar Ali & Alsyouf, , 2023. "Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    6. Yang, Hye-jeong & Fang, Mingjie & Yao, Jinge & Su, Miao, 2023. "Green cooperation in last-mile logistics and consumer loyalty: An empirical analysis of a theoretical framework," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Shahzad, Khuram & Zhang, Qingyu & Zafar, Abaid Ullah & Ashfaq, Muhammad & Rehman, Shafique Ur, 2023. "The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    8. Koh, Le Yi & Lee, Jia Yi & Wang, Xueqin & Yuen, Kum Fai, 2023. "Urban drone adoption: Addressing technological, privacy and task–technology fit concerns," Technology in Society, Elsevier, vol. 72(C).

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