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.

中文翻译：

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信息共享能否预测 COVID-19 大流行期间新鲜农产品供应链的表现？社会学习视角

目的

本研究旨在通过将信息质量作为信息共享的重要组成部分，以及认知和情感评估，为 COVID-19 大流行期间信息共享对新鲜农产品供应链 (FPSC) 绩效的影响提供预测模型评估。社会学习过程的一部分（中介）进入模型。

设计/方法/途径

在 COVID-19 大流行期间，对印度尼西亚的 197 家小型新鲜农产品（水果和蔬菜）零售商进行了在线调查。使用偏最小二乘结构方程建模 (PLS-SEM) 分析数据，特别是 SmartPLS 4 软件支持的 PLSpredict。

发现

这项研究表明，信息共享与信息质量呈正相关且显着相关，并且这两个结构与 FPSC 绩效没有直接关联。路径分析表明，信息共享对 FPSC 绩效的影响完全由对信息共享活动的认知和情感评估所调节。它还表明，信息质量对 FPSC 绩效的影响完全由情感评估而非认知评估来调节。该模型显示出很高的预测能力，并突出了学习过程在 COVID-19 大流行期间的关键作用。

原创性/价值

这项研究首次在 PLS-SEM 中采用预测模型评估，从社会学习的角度，特别是在 COVID-19 大流行的背景下，根据经验预测信息共享对 FPSC 绩效的影响。