… practices into their overall business for sustainbale operations management. The purpose …
business performance through big data analytics in the context of developing countries. Data …

… Operations management is a core organizational … big data) support firms to leverage big
data analytics and organizational learning in support of sustainable supply chain management …

… associated with operations management, purchasing/procurement, production and quality
… to big data managers which can help them understand that leveraging big data requires not …

… of the literature on big data analytics and business value … research framework and outline
the theoretical perspective that this study builds on. Section 3 delineates the overall research …

… research is required to identify the applications of big data in DM. In the following sections,
we shed light on various challenges and opportunities of big data research … Big data analysis …

… green supply chain management practices, both … research model which was tested empirically.
The findings of our study establish the influence of big data driven strategies on business …

… most essential tests for CMV, specifically within the field of operations management. Based
on marker variable test guidelines (Lindell and Whitney, 2001), we compared our proposed …

… to operations research in different case studies with real data from … , managers and practitioners
in operations research who … in “big data”, allowing for an efficient access and analysis of …

… , OM is particularly attentive to such data science-related technologies such as big data
analytics and artificial intelligence. Other data science technologies such as cyber-security do …

… forefront of research for operations and supply chain management. Literature has reported
the influence of big data analytics for … with operations management and information systems …