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Study of the Environmental Factors' Effects on Big Data Analytics Adoption in Supply Chain Management

Study of the Environmental Factors' Effects on Big Data Analytics Adoption in Supply Chain Management

Karim Mezghani, Amin K. Alsadi, Thamir Hamad Alaskar
Copyright: © 2022 |Volume: 18 |Issue: 1 |Pages: 20
ISSN: 1548-1131|EISSN: 1548-114X|EISBN13: 9781799893783|DOI: 10.4018/IJEBR.309395
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MLA

Mezghani, Karim, et al. "Study of the Environmental Factors' Effects on Big Data Analytics Adoption in Supply Chain Management." IJEBR vol.18, no.1 2022: pp.1-20. http://doi.org/10.4018/IJEBR.309395

APA

Mezghani, K., Alsadi, A. K., & Alaskar, T. H. (2022). Study of the Environmental Factors' Effects on Big Data Analytics Adoption in Supply Chain Management. International Journal of E-Business Research (IJEBR), 18(1), 1-20. http://doi.org/10.4018/IJEBR.309395

Chicago

Mezghani, Karim, Amin K. Alsadi, and Thamir Hamad Alaskar. "Study of the Environmental Factors' Effects on Big Data Analytics Adoption in Supply Chain Management," International Journal of E-Business Research (IJEBR) 18, no.1: 1-20. http://doi.org/10.4018/IJEBR.309395

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Abstract

The current study combines the institutional theory and the TOE framework to examine the effects of environmental factors along with the mediating role of top managements support on the decision to adopt big data analytics (BDA) in supply chain management (SCM) in Saudi firms as context of a developing economy in transition. The statistical analyses of the PLSPM performed with Smartpls showed that the environment factors could affect directly and indirectly the intention to adopt BDA in SCM. From a theoretical perspective, combining TOE framework with an institutional theory perspective provided us with a research model that highlight the importance of TMS as a mediating factor that can help to assimilate the effects of environment factors when dealing with BDA adoption. From a managerial perspective, this research should be useful for practitioners involved in the SCM and interested by the use of BDA by showing them the critical roles that can be played by environment factors in the decision to adopt BDA in SCM.