scispace - formally typeset
Open AccessJournal ArticleDOI

The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective

TLDR
In this paper, the authors investigated the effect of managerial initiatives on the adoption of traceability systems on food cold chain performance during the Covid-19 pandemic and found that managerial initiatives are needed to improve the company's performance because it improves the traceability system in the supply chain.
Abstract
This study aims to determine the effect of managerial initiatives on the adoption of traceability systems on food cold chain performance during the Covid-19 pandemic. Managerial initiatives are allegedly needed to improve the company's performance because it improves the traceability system in the supply chain. In addition, the effect of the traceability system adoption on the Indonesian food cold-chain performance during the Covid-19 pandemic is also discussed in this study. This study uses a quantitative approach and purposive sampling with a questionnaire research instrument obtained 250 statements of Indonesian consumers and retail employees. Partial least squares for structural equation modeling (PLS-SEM) were used to analyze latent variables' relationships. This study indicates that the traceability system has a significant effect on the performance of the food cold-chain during the Covid-19 pandemic. In addition, the adoption of electronic data exchange (EDI), radio frequency identification (RFID), and blockchain significantly impacted traceability systems during the Covid-19 pandemic. The managerial application of the initiative showed a positive and significant impact on the performance of the food cold-chain during the Covid-19 pandemic. However, the managerial initiative is not able to moderate the adoption of the traceability system.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies.

TL;DR: In this paper , the authors summarized the most relevant food Industry 4.0 technologies including artificial intelligence, big data analytics, Internet of Things, and blockchain and other technological advances (e.g., smart sensors, robotics, digital twins, and cyber-physical systems).
Journal ArticleDOI

Social Sustainability Challenges Towards Flexible Supply Chain Management: Post-COVID-19 Perspective

TL;DR: In this paper, the authors identify the pressing challenges to social sustainability in the post-COVID-19 context by a literature review and opinions from an expert panel, focusing on the footwear supply chain.
Journal ArticleDOI

Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges

TL;DR: The study provides a systematic review of the use of PP technology in food traceability and identifies the security needs at each stage offood traceability in terms of data flow and technology.
Journal ArticleDOI

Characterizing Organizational Lifecycle through Strategic and Structural Flexibility: Insights from MSMEs in Mexico

TL;DR: In this article , a quantitative approach conducting a factor analysis, a two-step cluster, and decision tree analysis to interrogate data from 257 MSMEs in Mexico, provides evidence of different dimensions of strategic and structural flexibility that help to characterize and predict the growth, maturity, and declining stages of MSME.
Journal ArticleDOI

Blockchain for Ecologically Embedded Coffee Supply Chains

TL;DR: In this paper , a qualitative case study of the first coffee business in the USA to use blockchain technology as an exemplar is presented, where the authors identify how blockchain technology could support the ecological embeddedness of the coffee supply chain.
References
More filters
Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI

A power primer.

TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Journal ArticleDOI

Significance tests and goodness of fit in the analysis of covariance structures

TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
Book

A primer on partial least squares structural equation modeling (PLS-SEM)

TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
Journal ArticleDOI

PLS-SEM: Indeed a Silver Bullet

TL;DR: The authors conclude that PLS-SEM path modeling, if appropriately applied, is indeed a "silver bullet" for estimating causal models in many theoretical models and empirical data situations.
Related Papers (5)