Scholars acknowledge the importance of big data and predictive analytics (BDPA) in achieving business value and firm performance. However, the impact of BDPA assimilation on supply chain (SCP) and organizational performance (OP) has not been thoroughly investigated. To address this gap, this paper draws on resource-based view. It conceptualizes assimilation as a three stage process (acceptance, routinization, and assimilation) and identifies the influence of resources (connectivity and information sharing) under the mediation effect of top management commitment on big data assimilation (capability), SCP and OP. The findings suggest that connectivity and information sharing under the mediation effect of top management commitment are positively related to BDPA acceptance, which is positively related to BDPA assimilation under the mediation effect of BDPA routinization, and positively related to SCP and OP. Limitations and future research directions are provided.
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P ublishing in top journals is difficult. Common challenges undermine authors' attempts to explain and influence their discipline's understanding and practice. We identify and describe these roadblocks to publishing success. We also benchmark best practice in management, marketing, and supply chain journals to provide a trail guide for writing-and publishing-influential conceptual, qualitative, and survey research. Given equifinality in research, our trail guide should not be viewed as the only way to craft excellent, influential research. However, if we agree on the basics, we can (1) increase consistency in the review process, (2) reduce publication cycles, and (3) begin to roll back the length of articles.
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