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Can information sharing predict fresh produce supply chain performance amid the COVID-19 pandemic? A social learning perspective

Luluk Lusiantoro (Department of Management, Faculty of Economics and Business, Centre for Logistics and Supply Chain Management, Universitas Gadjah Mada, Yogyakarta, Indonesia)
Tria Putri Noviasari (Department of Management, Faculty of Economics and Business, Universitas Jember, Jember, Indonesia)
Mahfud Sholihin (Department of Accounting, Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta, Indonesia)
Wakhid Slamet Ciptono (Department of Management, Faculty of Economics and Business, Centre for Logistics and Supply Chain Management, Universitas Gadjah Mada, Yogyakarta, Indonesia)

International Journal of Physical Distribution & Logistics Management

ISSN: 0960-0035

Article publication date: 31 October 2022

Issue publication date: 14 August 2023

476

Abstract

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.

Keywords

Citation

Lusiantoro, L., Noviasari, T.P., Sholihin, M. and Ciptono, W.S. (2023), "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, Vol. 53 No. 7/8, pp. 789-812. https://doi.org/10.1108/IJPDLM-03-2022-0083

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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