A critical review on supply chain risk – Definition, measure and modeling ☆

By Iris Heckmann, Tina Comes, Stefan Nickel. 2015

873 citations recorded by the source corpus.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/eeb8ae466050b369ce5ef5b4d6dce8199099f228

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In Management Information Systems

In Strategy and Management

Citations in the corpus

Risk assessment and risk management: Review of recent advances on their foundation (2016, methodology): “Heckmann et al. (2015) point to the lack of clarity in understanding what the supply chain risk concept means, and search for solutions.”
Blockchain technology and its relationships to sustainable supply chain management (2018, background): “Natural and man-made disasters threaten the performance of supply chains and solution techniques are required to control and mitigate supply chain risks (Heckmann, Comes, and Nickel 2015; Fahimnia et al. 2015).”
Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers (2019, background): “In business, each process and decision is affected by risk and uncertainty, leading to potential incorrect assessments, misjudgments, or unexpected changes, with versatile consequences for a company [42].”
Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021, positive): “Companies tend to tolerate lowprobability, high-impact events and lack preparedness for extremely uncertain risks (Heckmann et al., 2015; Jüttner & Maklan, 2011).”
Managing climate change risks in global supply chains: a review and research agenda (2019, positive): “However, climate change related extreme weather events, and natural catastrophes are harder to predict (Heckmann et al., 2015) and are least explored.”
Supply chain risk management and artificial intelligence: state of the art and future research directions (2018, neutral): “Risk deﬁnitions tend to be vague and ambiguous, involving a wide array of core characteristics (Heckmann, Comes, and Nickel 2015).”
A review of supply chain risk management: definition, theory, and research agenda (2018, background): “…been based on a limited number of articles, e.g. 55 articles in Rao and Goldsby (2009) and 138 articles in Tang and Musa (2011), or have had a specific focus, e.g. on quantitative models (e.g. Tang, 2006; Heckmann et al., 2015) or a particular industry (e.g. Aloini et al., 2012; Boyson, 2014).”
Supply chain disruptions and resilience: a major review and future research agenda (2021, background): “Altogether these 10 studies constitute a collection of (1) reviews about quantitative methods for modelling SC disruptions and aiding decision-making (Dolgui et al. 2018; Heckmann et al. 2015; Ho et al. 2015; Hosseini et al. 2019a; Snyder et al. 2016)], (2) conceptual frameworks of certain approache”