Cold chain logistics performance: a framework

Purpose Building a robust cold chain logistics system boosts the company’s profits in various ways. Any cold chain logistics company needs well-organised and efficient management of cold chain logistics to produce high-quality products, ensure that the product reaches the customer without any changes to the quality, and do so promptly. This paper aims to identify factors influencing cold chain logistics performance design. These factors are further helpful in analysing the behaviour intentions of stakeholders on increasing the cold chain logistic performance. Design/methodology/approach The authors conducted a thorough literature review to identify the variables that affect the performance of the cold chain logistics design. The factors were identified using exploratory factor analysis and empirically analysed using confirmatory factor analysis. The study also used structural equation modelling (SEM) to examine cold chain logistics performance determinants. Data was collected from 380 respondents working in the cold chain. Findings This study selected the factors influencing CCL performance, including five main factors and 22 sub-factors. Distribution, warehouse inventory storage, quality, demand, and technology affect the CCL’s performance. The results confirmed the theoretical model and proved that the factors significantly positively impact CCL performance. Research limitations/implications Future studies should focus on actual case studies to confirm the usefulness of the parameters found, examine how they affect performance growth, provide important insights into how to improve overall business performance and assist in identifying crucial research hotspots. Practical implications The study provides insight into issues regarding performance development in cold chain logistics for various stakeholders associated with the cold chain logistics industry, including practical managers, academics, and consultants. It also argues in favour of giving problems with CCL performance a higher priority. Policymakers interested in the service sector, like the Indian Department of Commerce and MSMEs, make up a modest additional audience for this work. Social implications Indian meat industry can be organised by implementing this methodology. This work benefits the government to get more transparent transaction and data digitalisation, which comes into account of GST. Originality/value There is a lack of significant quantitative literature suggesting modification strategies for factors affecting processed meat and chicken products in storage and transportation levels in India. Thus, this work tried to fill this gap and add the food chain logistics literature that helps practitioners and scholars enhance the food supply chain in developing countries.The framework developed for this study is where its originality lies. A detailed examination of cold chain logistics is included in the paper.