Big data and predictive analytics for supply chain and organizational performance

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• 作者：Angappa Gunasekaran^a ; ^{agunasekaran@umassd.edu" class="auth_mail" title="E-mail the corresponding author} ; Thanos Papadopoulos^b ; ^{A.Papadopoulos@kent.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Rameshwar Dubey^c ; ^{rameshwardubey@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Samuel Fosso Wamba^d ; ^{fossowam@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Stephen J. Childe^e ; ^{stephen.childe@plymouth.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Benjamin Hazen^f ; ^{benjamin.hazen@live.com" class="auth_mail" title="E-mail the corresponding author} ; Shahriar Akter^g ; ^{sakter@uow.edu.au" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Big data ; Assimilation ; Routinization ; Adoption ; Supply chain performance ; Firm performance
• 刊名：Journal of Business Research
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：70
• 期：Complete
• 页码：308-317
• 全文大小：644 K

文摘

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.