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...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/170162 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-170162 |
---|---|
record_format |
dspace |
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 |