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

Arora, Madhu; Kumar, Rupesh; Bangwal, Deepak; Ahmad, Vasim; Negi, Saurav

doi:10.1111/jfpe.14439

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…Blockchain is redefining supply chain management, streamlining operations and enhancing transparency (Ada, 2022). Traditional supply chains often grapple with intermediaries and information bottlenecks, leading to inefficiencies and increased costs (Arora et al, 2023). Blockchain offers an innovative solution, establishing a decentralized, tamperresistant ledger accessible to all stakeholders, revolutionizing how supply chain operates (Balzarova et al, 2022;Yu & Ye, 2023).…”

Section: Cost Efficiencymentioning

confidence: 99%

Blockchain Technology for Sustainable Supply Chain

Khoa Nguyen,

Ali

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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In today's dynamic business landscape, sustainability has become a defining concern, driven by increasing demands for eco-conscious practices from consumers, regulators, and stakeholders. This has put immense pressure on supply chains to undergo a fundamental transformation. Blockchain technology, renowned for its security and decentralized architecture, emerges as a promising solution to promote sustainability within supply chains by enhancing transparency, traceability, and trust. Blockchain contributes to economic sustainability by mitigating transaction costs and facilitating the efficiency and cost-effectiveness of supply chain operations. Blockchain benefits environmental sustainability by reducing carbon footprints through traceability practices. By fostering fair trade and protecting sensitive data and identities, blockchain can play a pivotal role in ensuring social sustainability. As such, many forward-thinking businesses are drawn to blockchain for sustainable business operations. However, reluctance remains due to uncertainties surrounding the factors influencing blockchain's implementation. In this paper, we delve into the synergy between blockchain and sustainable supply chain, aiming to provide an overarching insight into the opportunities and obstacles presented by this integration. By shedding light on the transformative potential of blockchain, we hope to inspire a broader adoption and realization of sustainability goals within supply chains.

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Section: Cost Efficiencymentioning

confidence: 99%

Blockchain Technology for Sustainable Supply Chain

Khoa Nguyen,

Ali

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Sustainable and resilient cold chains: Enhancing adaptability, consistency, and digital transformation for success in a turbulent market

Vandana,

Sangwa,

Ertz

et al. 2024

Bus Strat Env

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Sustainable and resilient cold chains (CC) are the backbone of several industries, ensuring the seamless transport and storage of temperature‐sensitive products ranging from fresh produce and pharmaceuticals to life‐saving vaccines. Particularly in times of disruptions, such as natural disasters or global health crises, the sustainability and resilience of CCs become even more crucial, highlighting the urgent need for research, innovation, and strategic planning in this domain. This study conducted a systematic review of the sustainable and resilient CC research literature. A total of 143 high‐quality articles were shortlisted from the Web‐of‐Science (WoS) database for in‐depth content analysis. This review clarifies the existing results and highlights the trending themes and persistent gaps in research pertaining to CC in a business context and at a strategic level. It covers notably disruptions and related impacts, the relationship between sustainability and resilience in CC, decision tools for sustainable and resilient CC, CC sustainability and resilience performance areas and measurement metrics, data‐driven digital transformation for sustainable and resilient CC, and strategies for developing sustainable and resilient CC strategies. The results reveal that research on sustainable and resilient CC is growing; however, the field remains dominated by research methods that need to establish causality formally. Furthermore, the research area is fragmented into several subareas, and more conceptual and theoretical work is needed to advance the theoretical foundation of the domain. Finally, a proposed research agenda suggests 17 future avenues for improving the contribution to sustainable and resilient CC research.

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Enhancing climate forecasting with AI: Current state and future prospect

Kumar,

Goel,

Sidana

et al. 2024

F1000Res

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Background The escalating impact of climate change underscores the critical need for advanced and sustainable climate forecasting techniques. This review examines the current state and future prospects of leveraging Artificial Intelligence (AI) for climate forecasting, focusing on enhancing accuracy and identifying complex patterns in large datasets. Methods A systematic bibliometric methodology was employed, analyzing peer-reviewed literature from the past two decades. The study screened 455 articles from Scopus and Web of Science databases using specific keywords related to AI and weather forecasting. After removing duplicates and irrelevant studies, 218 articles were selected for detailed analysis. Bibliometric analysis was conducted using RStudio software to examine publication trends, co-word co-occurrence, and thematic evolution. Results The findings indicate significant growth in AI applications for climate forecasting, particularly from 2014 to 2023. AI techniques such as machine learning, artificial neural networks, and deep learning have shown promise in improving the accuracy of weather forecasts and early warning systems. The thematic analysis identified key themes like numerical weather prediction, feature selection, and neural networks as fundamental areas of research. Additionally, AI-based early warning systems for extreme weather events were highlighted as a crucial application. Below Figure 1. shows the graphical abstract of research Conclusions AI has the potential to significantly enhance climate forecasting by analyzing vast amounts of data and identifying complex patterns. Future research should focus on developing universal AI models, increasing model accuracy with explainable AI techniques, and integrating region-specific forecasts to aid decision-making in various sectors. Addressing ethical concerns and ensuring sustainable AI applications are essential for the responsible deployment of AI in climate forecasting.

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

Cited by 4 publications

References 30 publications

Blockchain Technology for Sustainable Supply Chain

Blockchain Technology for Sustainable Supply Chain

Sustainable and resilient cold chains: Enhancing adaptability, consistency, and digital transformation for success in a turbulent market

Enhancing climate forecasting with AI: Current state and future prospect

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