Big data analytics and business process innovation
2017; Emerald Publishing Limited; Volume: 23; Issue: 3 Linguagem: Inglês
10.1108/bpmj-02-2017-0046
ISSN1758-4116
Autores Tópico(s)Data Quality and Management
ResumoBig data analytics and business process innovation Big data analytics (BDA), which is defined a "holistic process to manage, process and analyze 5 Vs (i.e., volume, variety, velocity, veracity and value) in order to create actionable insights for sustained competitive advantages" (Fosso Wamba et al., 2015), is now considered as a hot topic for both practitioners and scholars.BDA has a huge potential in transforming various organizations and industries seeking sustained competitive advantage (Davenport and Harris, 2007).While much has been written about the high operational and strategic potential of BDA, the literature dedicated to the empirical evidence of the real business value of BDA at the firm and supply chain levels on the one hand, and to the relationship between BDA and process innovation on the other hand, remains thin and even poor.The main objective of this special issue was to fill this knowledge gap in the relevant literature.Specifically, a good number of scholars and practitioners have been invited to explore the ways and means to identify and capture business value from BDA in terms of innovative business models, improved decision making, improved intra-and interorganizational performance, and competitive advantage.All articles included in this special issue went through a double-blind review process.
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