Articlegreen2021

Extenuating operational risks through digital transformation of agri-food supply chains

109 citations0/0 files storedProduction Planning & Control

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Supply Chain Resilience and Risk Management Food Supply Chain Traceability Impact of AI and Big Data on Business and Society

Abstract

The increasingly unprecedented incidents (e.g. COVID-19) have made the contemporary supply chains more vulnerable to divergent risks and disruptions. Encouragingly, the recent trend of digital transformation, adoption of Industry 4.0 technologies (I4Ts), could significantly improve business processes extenuating potential risks and disruptions. Yet, there is a paucity of quantitative studies on the risk or disruption mitigation and I4Ts, specifically on agri-food industry. Using a sample of 302 firms from the Australian agri-food supply chains, we explore if the firms that adopt I4Ts experience the different impact of operational risks (supply-demand mismatch, financial and transportation) compared to others. The findings unveil that albeit such risks can significantly undermine firm performance, their negative effect is non-significant for the firms that adopt I4Ts compared to those that do not adopt. We thus suggest digital transformation as an effective way to extenuate operational risks and disruptions amid unanticipated events like COVID-19. Numerous contributions to theory and practice, plus United Nations Sustainable Development Goals (1 & 2) have been discussed.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 109 citations exist upstream.

References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1991Firm Resources and Sustained Competitive Advantage 2004Firm resources and sustained competitive advantage 1984A resource‐based view of the firm 1974An Index of Factorial Simplicity 1977Estimating Nonresponse Bias in Mail Surveys 1977Estimating Nonresponse Bias in Mail Surveys

Cited by

2023Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research 2023Supply chain resilience to climate change inflicted extreme events in agri-food industry: The role of social capital and network complexity 2022Risk and resilience in agri-food supply chain SMEs in the pandemic era: a cross-country study 2022Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France 2024The impact of manufacturing digital supply chain on supply chain disruption risks under uncertain environment—Based on dynamic capability perspective

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.