Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/160580
Title: Adoption of shopper-facing technologies under social distancing: a conceptualisation and an interplay between task-technology fit and technology trust
Authors: Wang, Xueqin
Wong, Yiik Diew
Chen, Tianyi
Yuen, Kum Fai
Keywords: Engineering::Civil engineering
Issue Date: 2021
Source: Wang, X., Wong, Y. D., Chen, T. & Yuen, K. F. (2021). Adoption of shopper-facing technologies under social distancing: a conceptualisation and an interplay between task-technology fit and technology trust. Computers in Human Behavior, 124, 106900-. https://dx.doi.org/10.1016/j.chb.2021.106900
Journal: Computers in Human Behavior
Abstract: As an important measure to combat COVID-19 pandemic, social distancing is observed worldwide and increasingly being regarded as a normative behaviour that guides consumers' daily activities. In response, consumers have embraced a variety of digital technologies that facilitate in-home or contactless shopping. This study examines the emerging presence of technologies in shopping activities under social distancing by: 1) conceptualising the structures of shopper-facing technologies, and 2) examining the interplay between task-technology fit and technology-trust that influences shoppers' adoption of the multi-dimensional technologies. Exploratory factor analysis and structural equation modelling are used for data analysis (n = 508). Our findings reveal three distinctive dimensions of shopper-facing technologies which are labelled as shopper-dominant (pre-)shopping technologies, shopper-dominant post-shopping technologies, and technology-dominant automations. Shoppers' adoption intention depends on their evaluations of the technology fit in performing shopping tasks characterised by contact avoidance/minimisation. The impacts of task-technology fit are further moderated by shoppers' trust in those technologies. More importantly, task-technology fit and technology trust are found to demonstrate differentiated explanatory powers towards shoppers’ adoption of the different categories of technologies.
URI: https://hdl.handle.net/10356/160580
ISSN: 0747-5632
DOI: 10.1016/j.chb.2021.106900
Schools: School of Civil and Environmental Engineering 
Rights: © 2021 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

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