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How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study
International Journal of Production Economics, Volume: 267, Start page: 109064
Swansea University Author:
Yogesh Dwivedi
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DOI (Published version): 10.1016/j.ijpe.2023.109064
Abstract
The proliferation of fake news across the internet has become a significant area of concern globally. The COVID-19 pandemic highlights that the propagation of fake news can jeopardize public health and heighten irrational behavior amongst consumers, like panic buying. However, the existing literatur...
Published in: | International Journal of Production Economics |
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ISSN: | 0925-5273 |
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Elsevier BV
2023
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64759 |
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v2 64759 2023-10-17 How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2023-10-17 BBU The proliferation of fake news across the internet has become a significant area of concern globally. The COVID-19 pandemic highlights that the propagation of fake news can jeopardize public health and heighten irrational behavior amongst consumers, like panic buying. However, the existing literature has not explored its impact on the supply chain. This study uses reactance and cognitive load theories to examine a model for fake news propagation causing supply chain disruption. Our research employed a computationally intensive big data-driven method across three studies to demonstrate misinformation's impact on supply chain disruption, identify the factors creating this impact, and validate an inferential analysis model to explain this phenomenon. Results highlight the relationship between unverified information sharing (UIS) and perceived threat, perceived scarcity, fear appeal, and information overload with panic buying. The paper dwells more profoundly on fake news disrupting the supply chain. Journal Article International Journal of Production Economics 267 109064 Elsevier BV 0925-5273 Misinformation, Supply chain disruption, Social media analytics, Electronic commerce, Buying behavior 17 10 2023 2023-10-17 10.1016/j.ijpe.2023.109064 http://dx.doi.org/10.1016/j.ijpe.2023.109064 COLLEGE NANME Business COLLEGE CODE BBU Swansea University SU Library paid the OA fee (TA Institutional Deal) 2023-11-23T12:16:32.5881476 2023-10-17T15:28:28.8410449 Faculty of Humanities and Social Sciences School of Management - Business Management Shagun Sarraf 1 Amit Kumar Kushwaha 0000-0002-5537-1250 2 Arpan Kumar Kar 0000-0003-4186-4887 3 Yogesh Dwivedi 0000-0002-5547-9990 4 Mihalis Giannakis 0000-0001-5590-1891 5 64759__28803__03654042dd4749b3aed258fbc96c14a6.pdf 64759.VOR.pdf 2023-10-17T15:34:42.1908530 Output 5198374 application/pdf Version of Record true Distributed under the terms of a Creative Commons CC-BY Attribution 4.0 licence. true ENG http://creativecommons.org/licenses/by/4.0/ |
title |
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study |
spellingShingle |
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study Yogesh Dwivedi |
title_short |
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study |
title_full |
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study |
title_fullStr |
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study |
title_full_unstemmed |
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study |
title_sort |
How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study |
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d154596e71b99ad1285563c8fdd373d7 |
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d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi |
author |
Yogesh Dwivedi |
author2 |
Shagun Sarraf Amit Kumar Kushwaha Arpan Kumar Kar Yogesh Dwivedi Mihalis Giannakis |
format |
Journal article |
container_title |
International Journal of Production Economics |
container_volume |
267 |
container_start_page |
109064 |
publishDate |
2023 |
institution |
Swansea University |
issn |
0925-5273 |
doi_str_mv |
10.1016/j.ijpe.2023.109064 |
publisher |
Elsevier BV |
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Faculty of Humanities and Social Sciences |
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facultyofhumanitiesandsocialsciences |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management |
url |
http://dx.doi.org/10.1016/j.ijpe.2023.109064 |
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description |
The proliferation of fake news across the internet has become a significant area of concern globally. The COVID-19 pandemic highlights that the propagation of fake news can jeopardize public health and heighten irrational behavior amongst consumers, like panic buying. However, the existing literature has not explored its impact on the supply chain. This study uses reactance and cognitive load theories to examine a model for fake news propagation causing supply chain disruption. Our research employed a computationally intensive big data-driven method across three studies to demonstrate misinformation's impact on supply chain disruption, identify the factors creating this impact, and validate an inferential analysis model to explain this phenomenon. Results highlight the relationship between unverified information sharing (UIS) and perceived threat, perceived scarcity, fear appeal, and information overload with panic buying. The paper dwells more profoundly on fake news disrupting the supply chain. |
published_date |
2023-10-17T12:16:33Z |
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1783357026732081152 |
score |
11.021648 |