On Theory in Supply Chain Uncertainty and its Implications for Supply Chain Integration
By Barbara B. Flynn, Xenophon Koufteros, Guanyi Lu. 2016
341 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/868a6890abea0d883df87a143e95d75be46b7d0f
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
- Ravi Srinivasan
- Guanyi Lu
- Morgan Swink
- Guangzhi Shang
- Joseph Sarkis
- Boris V. Sokolov
In Strategy and Management
- Dmitry A. Ivanov
- Alexandre Dolgui
- Joseph Sarkis
- Mahtab Kouhizadeh
- Guanyi Lu
- Morgan Swink
- Ravi Srinivasan
- Guangzhi Shang
Citations in the corpus
- Impact of supply base structural complexity on financial performance: Roles of visible and not‐so‐visible characteristics (2017, background): “Third, supply chain collaboration literature suggests that unique knowledge from upstream suppliers enhances business performance (Flynn et al., 2010).”
- Blockchain technology and its relationships to sustainable supply chain management (2018, background): “Needs are defined by the difference between the amount of information required and the amount already possessed by the organisation (Galbraith 1973, 1977).”
- A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020, background): “…to the theories of the SC uncertainty, structural dynamics and risk analytics (Blackhurst et al. 2005; Ivanov, Sokolov, and Kaeschel 2010; Flynn, Koufteros, and Lu 2016; Ivanov et al. 2018; Choi, Wallace, and Wang 2018; Dubey, Gunasekaran, Childe, Wamba, et al. 2019; Ivanov, Dolgui, and…”
- An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective (2018, background): “In contrast, Flynn et al. (2016) examine different levels of uncertainty (micro, meso, and macro) as antecedents to supply chain integration.”