An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective

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Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019, background): “Despite increasing popularity, the academic literature on data analytics capability is still underdeveloped (Hazen et al. 2016; Fang et al. 2016; Srinivasan and Swink, 2018; Acharya et al. 2018).”
Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2020, background): “which technologies are used, rather from the technologies themselves (Barratt and Oke, 2007; Chen et al., 2015; Srinivasan and Swink, 2018; Dubey et al., 2019).”
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, positive): “Only few studies utilize a theory-focused approach to explain how BDPA can help to achieve enhanced performance (see Chen et al., 2015; Gunasekaran et al., 2017; Srinivasan and Swink, 2018; Aydiner et al., 2019).”
Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting (2020, methodology): “The second option, i.e. increasing information processing capability of the organisation via investing in both lateral and vertical information systems, is perhaps a better option in uncertain environments (Srinivasan and Swink 2018).”