Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management

By Florian Kache, Stefan Seuring. 2017

754 citations recorded by the source corpus.

Subfields: Management Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/091929400bd0735c19daa1cc5523e336b354aae9

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In Management Information Systems

In Sociology and Political Science

Citations in the corpus

The adoption of digital technologies in supply chains: Drivers, process and impact (2021, background): “…supply chain performance by enhancing efficiency (Govindan et al., 2018; Yu et al., 2018), visibility (Arya et al., 2017; Gunasekaran et al., 2017; Kache and Seuring, 2017), resilience (da Silva et al., 2018) and robustness (Brandon - Jones et al., 2014), as well as reduce supply chain risks…”
Assessing relations between Circular Economy and Industry 4.0: a systematic literature review (2019, methodology): “…as improving disassembly sequence planning (Marconi et al. 2018), considering recycling issues during product design (Lin 2018), assessing cost reduction strategies through remanufacturing (Ge and Jackson 2014), and assessing challenges and opportunities in SCM practices (Kache and Seuring 2017).”
A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework (2018, background): “The other significant challenge for smart factories is concerned with security issues (Leitão, Colombo, and Karnouskos 2016) as IoT is associated with vulnerability to interference and cyber-attack (Babiceanu and Seker 2016; Kache and Seuring 2017).”
Impact of Industry 4.0 on supply chain performance (2020, background): “…Improved planning and control • Improved distribution • Effective order fulfilment management • Enhance tracking and tracing of products throughout the supply chain (Kache and Seuring 2017; Modrak and Moskvich 2012) • Optimised freight transportations (Harris, Wang and Wang 2015) • Efficient…”
Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model (2023, background): “At the same time, digital supply chains can enable the capture of risk signals, maintain a high degree of situational awareness, reduce the likelihood of supply chain disruptions, and improve absorptive capability (Kache and Seuring, 2017; Wagner et al., 2009).”
What Gets Measured, Gets Done: Development of a Circular Economy Measurement Scale for Building Industry (2018, methodology): “Thus, a more inductive approach was applied for the research, impacting a structure of the paper and limiting the literature review, and the content analysis more to the scale design, rather than developing hypotheses, as is usually done in positivistic and deductive research [27].”
Blockchain applications in supply chains, transport and logistics: a systematic review of the literature (2019, background): “Cybersecurity has become one of the biggest challenges for global supply chains in recent years (Massimino, Gray, and Lan 2018; Kache and Seuring 2017).”
Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019, background): “volume, varieties, velocity, veracity and value) to derive valuable insights (Wamba et al. 2015; Kache and Seuring, 2017), thereby enabling the organizations to gain competitive advantage (Akter et al.”
Logistics 4.0: a systematic review towards a new logistics system (2019, background): “Logistics real-time visibility becomes more important to be able to react on sudden changes (Kache and Seuring 2017).”
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, background): “Despite the excitement for BDPA amongst academia and managers, exploiting BDPA for enhanced organizational performance is still one of the major challenges for both academics and practitioners (George et al., 2014; Kache and Seuring, 2017).”