Can information sharing predict fresh produce supply chain performance amid the COVID-19 pandemic? A social learning perspective
Purpose – This research aims to provide a predictive model assessment on the effect of information sharing on fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information quality as an important part of information sharing, as well as cognitive and affect...
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Emerald Publishing Limited
2022
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id-ugm-repo.2788212023-11-01T07:07:38Z https://repository.ugm.ac.id/278821/ Can information sharing predict fresh produce supply chain performance amid the COVID-19 pandemic? A social learning perspective Lusiantoro, Luluk Noviasari, Tria Putri Sholihin, Mahfud Ciptono, Wakhid Slamet Economics and Business Purpose – This research aims to provide a predictive model assessment on the effect of information sharing on fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information quality as an important part of information sharing, as well as cognitive and affective appraisals as part of a social learning process (mediators) into the model. Design/methodology/approach – An online survey was conducted on 197 small fresh produce (fruits and vegetables) retailers in Indonesia during the COVID-19 pandemic. The data were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) particularly PLSpredict supported by SmartPLS 4 software. Findings – This research reveals that information sharing is positively and significantly associated with information quality and that the two constructs are not directly associated with FPSC performance. The path analysis suggests that the effect of information sharing on FPSC performance is fully mediated by cognitive and affective appraisals to the information-sharing activity. It also suggests that the effect of information quality on FPSC performance is fully mediated by affective rather than cognitive appraisal. This model shows a high predictive power and highlights the pivotal role of the learning process during the COVID-19 pandemic. Originality/value – This research is the first to employ a predictive model assessment in PLS-SEM to empirically predict the effect of information sharing on FPSC performance using a social learning perspective, particularly in the context of the COVID-19 pandemic. Emerald Publishing Limited 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/278821/1/Can%20information%20sharing%20predict%20fresh%20produce%20supply%20chain%20performance%20amid%20the%20COVID-19%20pandemic%20A%20social%20learning%20perspective.pdf Lusiantoro, Luluk and Noviasari, Tria Putri and Sholihin, Mahfud and Ciptono, Wakhid Slamet (2022) Can information sharing predict fresh produce supply chain performance amid the COVID-19 pandemic? A social learning perspective. International Journal of Physical Distribution & Logistics Management, 53 (7/8). pp. 789-812. ISSN 0960-0035 https://www.emerald.com/insight/0960-0035.htm https://doi.org/10.1108/IJPDLM-03-2022-0083 |
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Economics and Business Lusiantoro, Luluk Noviasari, Tria Putri Sholihin, Mahfud Ciptono, Wakhid Slamet Can information sharing predict fresh produce supply chain performance amid the COVID-19 pandemic? A social learning perspective |
description |
Purpose – This research aims to provide a predictive model assessment on the effect of information sharing on
fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information
quality as an important part of information sharing, as well as cognitive and affective appraisals as part of a
social learning process (mediators) into the model.
Design/methodology/approach – An online survey was conducted on 197 small fresh produce (fruits and
vegetables) retailers in Indonesia during the COVID-19 pandemic. The data were analysed using Partial Least
Squares Structural Equation Modeling (PLS-SEM) particularly PLSpredict supported by SmartPLS 4 software.
Findings – This research reveals that information sharing is positively and significantly associated with
information quality and that the two constructs are not directly associated with FPSC performance. The path
analysis suggests that the effect of information sharing on FPSC performance is fully mediated by cognitive
and affective appraisals to the information-sharing activity. It also suggests that the effect of information
quality on FPSC performance is fully mediated by affective rather than cognitive appraisal. This model shows
a high predictive power and highlights the pivotal role of the learning process during the COVID-19 pandemic.
Originality/value – This research is the first to employ a predictive model assessment in PLS-SEM to
empirically predict the effect of information sharing on FPSC performance using a social learning perspective,
particularly in the context of the COVID-19 pandemic. |
format |
Article PeerReviewed |
author |
Lusiantoro, Luluk Noviasari, Tria Putri Sholihin, Mahfud Ciptono, Wakhid Slamet |
author_facet |
Lusiantoro, Luluk Noviasari, Tria Putri Sholihin, Mahfud Ciptono, Wakhid Slamet |
author_sort |
Lusiantoro, Luluk |
title |
Can information sharing predict
fresh produce supply chain
performance amid the COVID-19
pandemic? A social
learning perspective |
title_short |
Can information sharing predict
fresh produce supply chain
performance amid the COVID-19
pandemic? A social
learning perspective |
title_full |
Can information sharing predict
fresh produce supply chain
performance amid the COVID-19
pandemic? A social
learning perspective |
title_fullStr |
Can information sharing predict
fresh produce supply chain
performance amid the COVID-19
pandemic? A social
learning perspective |
title_full_unstemmed |
Can information sharing predict
fresh produce supply chain
performance amid the COVID-19
pandemic? A social
learning perspective |
title_sort |
can information sharing predict
fresh produce supply chain
performance amid the covid-19
pandemic? a social
learning perspective |
publisher |
Emerald Publishing Limited |
publishDate |
2022 |
url |
https://repository.ugm.ac.id/278821/1/Can%20information%20sharing%20predict%20fresh%20produce%20supply%20chain%20performance%20amid%20the%20COVID-19%20pandemic%20A%20social%20learning%20perspective.pdf https://repository.ugm.ac.id/278821/ https://www.emerald.com/insight/0960-0035.htm https://doi.org/10.1108/IJPDLM-03-2022-0083 |
_version_ |
1781413298171805696 |