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Adoption of Big Data Analytics in Supply Chain Management: Combining Organizational Factors With Supply Chain Connectivity

Adoption of Big Data Analytics in Supply Chain Management: Combining Organizational Factors With Supply Chain Connectivity

Amin Khalil Alsadi, Thamir Hamad Alaskar, Karim Mezghani
Copyright: © 2021 |Volume: 14 |Issue: 2 |Pages: 20
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781799859918|DOI: 10.4018/IJISSCM.2021040105
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MLA

Alsadi, Amin Khalil, et al. "Adoption of Big Data Analytics in Supply Chain Management: Combining Organizational Factors With Supply Chain Connectivity." IJISSCM vol.14, no.2 2021: pp.88-107. https://doi.org/10.4018/IJISSCM.2021040105

APA

Alsadi, A. K., Alaskar, T. H., & Mezghani, K. (2021). Adoption of Big Data Analytics in Supply Chain Management: Combining Organizational Factors With Supply Chain Connectivity. International Journal of Information Systems and Supply Chain Management (IJISSCM), 14(2), 88-107. https://doi.org/10.4018/IJISSCM.2021040105

Chicago

Alsadi, Amin Khalil, Thamir Hamad Alaskar, and Karim Mezghani. "Adoption of Big Data Analytics in Supply Chain Management: Combining Organizational Factors With Supply Chain Connectivity," International Journal of Information Systems and Supply Chain Management (IJISSCM) 14, no.2: 88-107. https://doi.org/10.4018/IJISSCM.2021040105

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Abstract

Supported by the literature on big data, supply chain management (SCM), and resource-based theory (RBT), this study aims to evaluate the organizational variables that influence the intention of Saudi SCM professionals to adopt big data analytics (BDA) in SCM. A survey of 220 supply chain respondents revealed that both top management support and data-driven culture have a high significant influence on their intention to adopt BDA. However, the firm entrepreneurial orientation showed no significant effect. Also, the findings revealed that supply chain connectivity positively moderates the link between top management support and intention. This study contributes to the practical field, offering valuable insights for decision makers considering BDA adoption in SCM. It also contributes to the literature by helping minimize the research gap in BDA adoption in the Saudi context.

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