Developing a resilient supply chain strategy during ‘boom’ and ‘bust’
By Laura Purvis, S. Spall, Mohamed M. Naim, Virginia L. M. Spiegler. 2016
166 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/064bb83ac0c3f0900325859c1f4a31ce95d7851c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Dmitry A. Ivanov
- Alexandre Dolgui
- Conn Smyth
- Samrat Gupta
- Denis Dennehy
- Efpraxia D. Zamani
- Boris V. Sokolov
- Hendrik Birkel
In Strategy and Management
- Dmitry A. Ivanov
- Alexandre Dolgui
- Conn Smyth
- Samrat Gupta
- Denis Dennehy
- Efpraxia D. Zamani
- Boris V. Sokolov
- Hendrik Birkel
Citations in the corpus
- A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020, background): “…to, data about suppliers and probabilities of route disruption, i.e. data used to build disruption scenarios for analysing resilient SC design (Purvis et al. 2016; Yildiz et al. 2016; Gao et al. 2019), advanced supply signal recognition (Gao et al. 2017), or real-time disruption detection…”
- Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022, background): “Specifically for supply chains, resilience describes the readiness of an organisation or business to address risks, uncertainty, and gen - erally disruptions that may originate from customers, suppliers or other business processes and supply chain integration mechanisms used (Purvis et al., 2016).”