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

IF 0.9 Q4 MANAGEMENT
A. Alsadi, T. Alaskar, K. Mezghani
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引用次数: 7

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.
大数据分析在供应链管理中的应用:将组织因素与供应链连通性相结合
在大数据、供应链管理(SCM)和资源基础理论(RBT)的文献支持下,本研究旨在评估影响沙特供应链管理专业人员在供应链管理中采用大数据分析(BDA)意愿的组织变量。一项针对220名供应链受访者的调查显示,高层管理人员的支持和数据驱动的文化对他们采用BDA的意愿有很高的显著影响。而企业创业取向的影响不显著。此外,研究结果显示,供应链连通性正向调节高层管理人员支持与意向之间的联系。本研究有助于实践领域,为考虑在供应链管理中采用BDA的决策者提供有价值的见解。它也有助于通过帮助减少研究差距在沙特背景下的BDA采用文献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.90
自引率
43.80%
发文量
59
期刊介绍: The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.
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