Can IoT be Used to Mitigate Food Supply Chain Risk?

Beker, Ivan; Delić, Milan; Milisavljević, Stevan; Gošnik, Dušan; Ostojić, Gordana; Stankovski, Stevan

doi:10.24867/ijiem-2016-1-106

Cited by 11 publications

(7 citation statements)

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“…For example, for smart packaging in the cold-FSC, QR codes or barcodes are fundamental information carriers (Kayikci et al , 2022), but they also need to link with temperature and moisture sensors along with global positioning system (GPS) devices (part of the IoT). To address these challenges, at the stage of IoT implementation, the FSC stakeholders need to spend more time and effort on understanding the related SC problems and needs (Beker et al , 2016; Kazancoglu et al , 2021).…”

Section: Thematic Analysismentioning

confidence: 99%

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Digital transformation in food supply chains: an implementation framework

Wang,

Ghadge,

Aktas

2024

SCM

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Purpose Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve digital transformation in FSCs is unclear. This study aims to establish how the digital transformation of FSCs can be achieved by adopting key technologies such as the Internet of Things (IoTs), cloud computing (CC) and big data analytics (BDA). Design/methodology/approach A systematic literature review (SLR) resulted in 57 articles from 2008 to 2022. Following descriptive and thematic analysis, a conceptual framework based on the diffusion of innovation (DOI) theory and the context-intervention-mechanism-outcome (CIMO) logic is established, along with avenues for future research. Findings The combination of DOI theory and CIMO logic provides the theoretical foundation for linking the general innovation process to the digital transformation process. A novel conceptual framework for achieving digital transformation in FSCs is developed from the initiation to implementation phases. Objectives and principles for digitally transforming FSCs are identified for the initiation phase. A four-layer technology implementation architecture is developed for the implementation phase, facilitating multiple applications for FSC digital transformation. Originality/value The study contributes to the development of theory on digital transformation in FSCs and offers managerial guidelines for accelerating the growth of the food industry using key Industry 4.0 emerging technologies. The proposed framework brings clarity into the “neglected” intermediate stage of data management between data collection and analysis. The study highlights the need for a balanced integration of IoT, CC and BDA as key Industry 4.0 technologies to achieve digital transformation successfully.

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Section: Thematic Analysismentioning

confidence: 99%

“…Prior to implementing innovation, critical principles enabling digital transformation in SCs can be set as interventions (I) to invoke mechanisms (Beker et al , 2016; Denyer et al , 2008). The review identified four critical principles, comprising of data governance, interoperability, standardisation and compatibility.…”

Section: Thematic Analysismentioning

confidence: 99%

Digital transformation in food supply chains: an implementation framework

Wang,

Ghadge,

Aktas

2024

SCM

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“…Different cold chain risk management studies have covered different types and ranges of risks, e.g., operational risks [13,40,42,43], packaging risks [29,37,40,41,44,45], supply chain risks, fraud risks [33,44], temperature disruption risks, etc., and have categorized risks in different ways. Dagsuyu et al (2020) added budget and time constraints to the proposed risk mitigation actions to investigate the impact of the actions on risk factors considering cost and duration [37].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Common risk factors that can lead to disruptions of cold chains include natural risk, supply chain risk, logistic risk, quality risk and packaging risk. Natural disasters and emergency events like political instability, power outage, strikes, extreme weather, traffic instability, etc., make it difficult for cold chains to function properly [1,17,[28][29][30][34][35][36]41,43,[46][47][48][49]. Integration and information sharing are important to the efficiency of cold chains, and a lack of integration can lead to supply chain and logistic disruptions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The quality and safety of the cold chain products are therefore of significant importance, and many risks can lead to quality and safety deteriorations, e.g., contamination with other substances, the presence of bacteria, mechanical damage, etc. This can lead to adverse health hazard events if quality and safety are not ensured [29,[32][33][34]43,44,47,[49][50][51][52][53]. Zhang et al (2020) conducted a risk assessment for a medical provider and emphasized the importance of quality assurance and information on cold chains [35].…”

Section: Literature Reviewmentioning

confidence: 99%

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The Development of a Cold-Chain-Packaging Risk Management Model Based on Fuzzy Bayesian Network

Ren,

Matellini

2024

Applied Sciences

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Cold chain packaging faces high levels of uncertainty due to its complex nature and dynamic environments during transportation, and the importance of safety and risk management. This study aims to propose a risk assessment model for cold chain packaging based on a fuzzy Bayesian Network. A case study on vaccine cold chain shipping containers is conducted for the illustration of the risk management model, and risk factors like container risk, packaging risk, monitoring risk and handling risk, occupational and product safety risk have been identified and assessed. This paper will add new knowledge to the field of cold chain packaging, which still lacks research attention, and will be useful for industry managers to gain a better understand of the dynamics and risks of cold chain packaging.

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