Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?

Kapser, Sebastian, Abdelrahman, Mahmoud and 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, 148. pp. 183-198. ISSN 0965-8564

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Covid-19 seriously impacts and endangers lives of millions worldwide. To fight the spread of the virus, governments have taken various restricting measures including stay at home orders. Ultimately, the home delivery volume increased significantly, which still bears the risk of human-human infection during the final delivery. From a logisticians perspective, autonomous delivery vehicles (ADVs), which are a contactless delivery solution, have the potential to radically change the way groceries are delivered to customer homes and help to stop the spread of the virus. However, to date, research on user acceptance of ADVs is rare. This paper theoretically extends the Unified Theory of Acceptance and Use of Technology (UTAUT2) including gender as a moderator. The study is based on quantitative data collected in Germany through an online questionnaire (n=501). Data were analysed using structural equation modelling. The results indicate that trust in technology, price sensitivity, innovativeness, performance expectancy, hedonic motivation, social influence, and perceived risk determine behavioural intention. However, some constructs are only significant for women. The findings of this paper have theoretical, managerial and policy contributions and implications within the areas of last-mile delivery and technology acceptance.

Item Type: Article
Uncontrolled Keywords: Covid-19, Acceptance, Last-mile, UTAUT2, Germany, Moderator analysis, Gender
Subjects: J900 Others in Technology
L900 Others in Social studies
Department: Faculties > Business and Law > Newcastle Business School
Depositing User: John Coen
Date Deposited: 18 May 2022 08:49
Last Modified: 16 Dec 2022 16:30

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