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Technological Forecasting and Social Change
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A push–pull–mooring view on technology-dependent shopping under social distancing: When technology needs meet health concerns

Authors: Xueqin Wang; Yiik Diew Wong; Feng Liu; Kum Fai Yuen;

A push–pull–mooring view on technology-dependent shopping under social distancing: When technology needs meet health concerns

Abstract

Abstract Due to COVID-19, we have witnessed an accelerated digitalisation process in shopping activities as consumers embrace a variety of digital technologies that facilitate their ‘in-home’ or contactless shopping lifestyle. This study aims to investigate the emerging phenomenon of technology-dependent shopping under social distancing. Exploratory factory analysis and structural equation modeling are employed for data analysis. Anchored on the push–pull–mooring framework, our findings suggest that consumers’ health concerns (push factors), technology needs (pull factors), task–technology fit considerations (mediators) and pandemic-induced psychological states (mooring factors) are all critical contributors to the adoption of technology-dependent shopping with varied explanatory powers. The findings also provide guidelines for retailing operators to direct consumers towards the contactless shopping channel as a responsive strategy to the pandemic.

Country
Singapore
Related Organizations
Keywords

:Civil engineering [Engineering], COVID-19, Contactless Shopping

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 1%
Green