Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach

Purpose: The COVID-19 pandemic has resulted in a brand-new phenomenon in customer consumption patterns. This resulted from heightened health awareness brought on by the COVID-19 epidemic. There is a dearth of appropriate health psychology perspectives in the existing study examining the effect of CO...

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Main Authors: Koh, Le Yi, Peh, Ying Sien, Wang, Xueqin, Yuen, Kum Fai
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170162
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1701622023-08-30T03:04:11Z Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach Koh, Le Yi Peh, Ying Sien Wang, Xueqin Yuen, Kum Fai School of Civil and Environmental Engineering Engineering::Civil engineering Crowdsourced Logistics Technology Acceptance Model Purpose: The COVID-19 pandemic has resulted in a brand-new phenomenon in customer consumption patterns. This resulted from heightened health awareness brought on by the COVID-19 epidemic. There is a dearth of appropriate health psychology perspectives in the existing study examining the effect of COVID-19 on consumers’ use of crowdsourced logistics (CL) platforms. In order to provide unique and thorough insights into how consumer health concerns can affect consumers’ subjective views and their decisions to use CL, this study combines the health belief model and the technology acceptance model. Design/methodology/approach: Five hundred valid responses from an online survey that was created and administered in Singapore were analysed using structural equation modelling. Findings: The findings show that all of the suggested constructs have a favourable influence on consumers’ intentions to use CL. The suggested model also demonstrates high explanatory power, with perceived usefulness serving as the primary driver, followed by perceived ease of use and self-efficacy. Originality/value: The study advances previous academic research on CL and offers guidance to CL companies and lawmakers for promoting sustainable and secured last-mile delivery. 2023-08-30T03:04:10Z 2023-08-30T03:04:10Z 2023 Journal Article Koh, L. Y., Peh, Y. S., Wang, X. & Yuen, K. F. (2023). Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach. International Journal of Logistics Management. https://dx.doi.org/10.1108/IJLM-05-2022-0213 0957-4093 https://hdl.handle.net/10356/170162 10.1108/IJLM-05-2022-0213 2-s2.0-85153115294 en International Journal of Logistics Management © 2023 Emerald Publishing Limited. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Crowdsourced Logistics
Technology Acceptance Model
spellingShingle Engineering::Civil engineering
Crowdsourced Logistics
Technology Acceptance Model
Koh, Le Yi
Peh, Ying Sien
Wang, Xueqin
Yuen, Kum Fai
Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
description Purpose: The COVID-19 pandemic has resulted in a brand-new phenomenon in customer consumption patterns. This resulted from heightened health awareness brought on by the COVID-19 epidemic. There is a dearth of appropriate health psychology perspectives in the existing study examining the effect of COVID-19 on consumers’ use of crowdsourced logistics (CL) platforms. In order to provide unique and thorough insights into how consumer health concerns can affect consumers’ subjective views and their decisions to use CL, this study combines the health belief model and the technology acceptance model. Design/methodology/approach: Five hundred valid responses from an online survey that was created and administered in Singapore were analysed using structural equation modelling. Findings: The findings show that all of the suggested constructs have a favourable influence on consumers’ intentions to use CL. The suggested model also demonstrates high explanatory power, with perceived usefulness serving as the primary driver, followed by perceived ease of use and self-efficacy. Originality/value: The study advances previous academic research on CL and offers guidance to CL companies and lawmakers for promoting sustainable and secured last-mile delivery.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Koh, Le Yi
Peh, Ying Sien
Wang, Xueqin
Yuen, Kum Fai
format Article
author Koh, Le Yi
Peh, Ying Sien
Wang, Xueqin
Yuen, Kum Fai
author_sort Koh, Le Yi
title Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
title_short Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
title_full Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
title_fullStr Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
title_full_unstemmed Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
title_sort adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
publishDate 2023
url https://hdl.handle.net/10356/170162
_version_ 1779156389906612224