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Consumer's usage of logistics technologies: Integration of habit into the unified theory of acceptance and use of technology

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  • Cai, Lanhui
  • Yuen, Kum Fai
  • Xie, Diancen
  • Fang, Mingjie
  • Wang, Xueqin

Abstract

Different logistics technologies are emerging to improve the delivery efficiency and service standard of last-mile logistics. This study aims to understand consumer's usage behaviour of logistics technologies focussing on three representative logistics technologies: buy-online-and-pickup-in-store (BOPS), smart locker and drone delivery. A theoretical model is proposed by integrating the factors of habit and attitude into the unified theory of acceptance and use of technology (UTAUT). A total of 450 valid questionnaires are collected, and the data are analysed using structural equation modelling. The results suggest that (1) rational factors (i.e. performance expectancy, effort expectancy, facilitating conditions and attitude) and irrational factor (habit) collectively determine consumers' usage of logistics technologies; and (2) the key driving factors of consumers' usage behaviour of three logistics technologies do vary. The findings enrich the theoretical research on last-mile logistics and provide managerial implications for retail and logistics service providers.

Suggested Citation

  • Cai, Lanhui & Yuen, Kum Fai & Xie, Diancen & Fang, Mingjie & Wang, Xueqin, 2021. "Consumer's usage of logistics technologies: Integration of habit into the unified theory of acceptance and use of technology," Technology in Society, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21002645
    DOI: 10.1016/j.techsoc.2021.101789
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    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. Roemer, Ellen & Henseler, Jörg, 2022. "The dynamics of electric vehicle acceptance in corporate fleets: Evidence from Germany," Technology in Society, Elsevier, vol. 68(C).
    5. Liu, Yanfeng & Cai, Lanhui & Ma, Fei & Wang, Xueqin, 2023. "Revenge buying after the lockdown: Based on the SOR framework and TPB model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    6. Wang, Xueqin & Wong, Yiik Diew & Liu, Feng & Yuen, Kum Fai, 2023. "Consumers' paradoxical motives of co-creation: From self-service technology to crowd-sourcing platform," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    7. 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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