Abstract
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.
DOI
10.1016/j.jbusres.2016.08.004
Publication Date
2017-01-01
Publication Title
Journal of Business Research
Volume
70
First Page
308
Last Page
317
ISSN
0148-2963
Embargo Period
2018-02-09
Organisational Unit
Plymouth Business School
Keywords
Big data, Assimilation, Routinization, Adoption, Supply chain performance, Firm performance
Recommended Citation
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S., Childe, S., Hazen, B., & Akter, S. (2017) 'Big data and predictive analytics for supply chain and organizational performance', Journal of Business Research, 70, pp. 308-317. Available at: https://doi.org/10.1016/j.jbusres.2016.08.004
