An empirical study of cold chain issues and performance: Applying structural equation modeling

Arora, Madhu, Kumar, Rupesh, Bangwal, Deepak, Ahmad, Vasim and Negi, Saurav (2023) An empirical study of cold chain issues and performance: Applying structural equation modeling. Journal of Food Process Engineering. ISSN 0145-8876 (In Press)

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The food industry suffers from huge wastage and losses in food products, and reducing this waste and loss is an issue in the food industry. Improvement in cold chain performance will result in the minimization of food losses and wastage. The reason for this review is to look at the causal connection between different issues with cold chain performance through empirical validation. According to the goal of the review, seven theories were proposed dependent on a thorough writing survey on issues in the cold chain of the frozen food industry. Evidence was found for proposed speculations. The results of hypothesis testing showed infrastructural facility, safety and quality, awareness and handling practices, and responsiveness to positively influence cold chain performance while increased efforts are required for appropriate implementation of integration, sustainability, and traceability. While the performance of the supply chain and parameters affecting it has been a critical exploration theme for more than many years, scarcely any examination has been led that centers explicitly on issues considered synergistically.

Item Type: Article
Keywords: Cold Chain Performance | Frozen Food Industry | Infrastructure | Structural Equation Modeling (Sem) | Sustainability
Subjects: Social Sciences and humanities > Business, Management and Accounting > General Management
JGU School/Centre: Jindal Global Business School
Depositing User: Amees Mohammad
Date Deposited: 10 Sep 2023 04:21
Last Modified: 11 Sep 2023 10:29
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