Sustainable food supply chains: overcoming key challenges through digital technologies

Mahroof, Kamran; Omar, Amizan; Küçükaltan, Berk

doi:10.1108/ijppm-12-2020-0687

Cited by 25 publications

(15 citation statements)

References 69 publications

(68 reference statements)

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“…The multi-sourcing failure of one node of the SC did not affect the whole SCN. The multi-sourcing enablers play a massive role in repurposing the manufacturing system, providing flexibility and resilience to the FSC (Mahroof et al 2021 ). Supplier alert management supports integration between suppliers and other stakeholders.…”

Section: Discussionmentioning

confidence: 99%

Enablers for resilience and pandemic preparedness in food supply chain

et al. 2022

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The recent COVID-19 pandemic has caused enormous disruptions to supply chain (SCs). Border restrictions forced countless businesses to close either permanently or temporarily. However, the food industry is an essential sector that needs to be operational during a pandemic. Although the food industry has proactively worked towards fulfilling human needs, the food supply chain (FSC) faced numerous challenges, forcing SC managers to rethink their business strategy to cater to consumer demands effectively. In a pandemic situation, manufacturing operations need to repurpose and adapt to produce different high-demand products. Resilience initiatives help fight disruption phases in an uncertain environment by building capacity to resist and recover to a better position. This study identifies 14 key enablers to develop a resilient FSC and reveals the most significant enablers in India. We used a hybrid Delphi-interpretive structural modeling (ISM) and Fuzzy decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) methodology to achieve these goals. The Delphi technique identified essential enablers, while the ISM analyzed the interrelationship among enablers and level of importance in a hierarchical structural model. Finally, the Fuzzy-DEMATEL categorized the enablers into the cause-effect group. This study helps SC decision-makers recognize the enablers and the contextual and causal relationships to improve resilience initiatives. It also helps them repurpose their manufacturing operations and shift to other highly required and high-demand production.

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Section: Discussionmentioning

confidence: 99%

Enablers for resilience and pandemic preparedness in food supply chain

et al. 2022

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“…Given the dynamic or instantaneous structure of the tourism ecosystem that requires the same qualifications of innovative business models, we argue that it is no longer possible for the stakeholders of the tourism ecosystem to use static models that collect, store, analyse data and make decisions accordingly. In fact, today's recent challenges brought by emerging concepts (e.g., circular economy) compel organisations to move beyond a linear mindset by offering technological and innovative solutions in practice (Mahroof et al, 2022). In this respect, especially in the tourism ecosystem, innovative business models that use instant data offer a fluid structure that provides continuous, multiple, and variable decisions with RTDA.…”

Section: Discussionmentioning

confidence: 99%

Real-Time Data Analysis (RTDA) and Proposed Innovative Business Models: A Conceptual Study of the Tourism Industry

Aktaş¹,

Kurgun²,

Özeren³

et al. 2022

IJOL

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The paper discusses the importance of Real-Time Data Analysis (RTDA) with innovative fluid business models for the tourism industry. The study uses a conceptual approach to identify innovative fluid tourism business models and their relationships with RTDA based on the problematisation of the crucial need for a holistic, macro understanding of the tourism ecosystem approach rather than framing the issue from a micro point of view. The paper highlights that the current digital era makes it no longer possible for the tourism ecosystem stakeholders to use static models that collect, store, analyse data and make decisions accordingly. Innovative business models should be fluid structural models that use instant data and provide continuous, multiple, and variable decisions with RTDA. The real-time analysis of macro (e.g., countries), meso (e.g., destinations), and micro (e.g., tourists) data obtained from the tourism ecosystem is vital for innovative business models which facilitate the offerings of individualised services and provide increased cooperation between stakeholders using open innovation opportunities in the ecosystem. To date, the tourism industry has not adequately grasped the outcomes and benefits of big data analytics (BDA). While a growing body of literature on big data has focused extensively on technical aspects (e.g., infrastructure, intelligence, and analytical tools), the issue of how and under what conditions BDA can generate value and impacts for various stakeholders involved in the tourism ecosystem remains largely underexplored. Thus, this paper fills this void by being among the first attempts to conceptually explain and propose unique, innovative fluid business models and RTDA in three specific areas in the tourism and hospitality context.

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“…Apart from cloud computing, the implementation of these technologies is still in its infancy in FSC (Smetana et al, 2021;Bacco et al, 2022;Hassoun et al, 2022). Mahroof et al (2022) suggest that digital twins and simulation can reduce warehouse waste and costs, in addition to preparing managers for contingency planning. With additive manufacturing, new food sources can be added to meet customers' needs and 3D bioprinting reduces environmental impacts (Bacco et al, 2022).…”

Section: Digital Technologies For a Sustainable Food Operationmentioning

confidence: 99%

Digital innovations in the post-pandemic era towards safer and sustainable food operations: A mini-review

Lim

Baharuddin²,

Cherrafi³

et al. 2023

Front. Food. Sci. Technol.

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Though the pandemic has created an imbalance and disrupted the economy in the food industry, it has had a positive impact on speeding the acceptance of the industry towards digital innovations (DI). The shift toward digitalization is leading the food industry to leverage innovations that can serve the dual purpose of safer and sustainable food operations. This review synthesizes the rapidly growing literature on digital technology used as the response to the emergence of food safety and sustainability issues during the COVID-19 pandemic. Opportunities to improve thirteen food safety management system components and three sustainability components including economics, environmental and social were identified. The review determined that blockchain and IoT have the most prominent role in improving food safety, especially the component of traceability and monitoring and inspection.

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Sustainable food supply chains: overcoming key challenges through digital technologies

Cited by 25 publications

References 69 publications

Enablers for resilience and pandemic preparedness in food supply chain

Enablers for resilience and pandemic preparedness in food supply chain

Real-Time Data Analysis (RTDA) and Proposed Innovative Business Models: A Conceptual Study of the Tourism Industry

Digital innovations in the post-pandemic era towards safer and sustainable food operations: A mini-review

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