Potential effects of smart innovative solutions for supply chain performance

Q1 Decision Sciences
Hussam Al-Shorman, M. Eldahamsheh, M. S. Attiany, M. Al-Azzam, A. Al-Quran
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引用次数: 0

Abstract

The study aimed at exploring the impact of three smart innovative solutions, i.e., Internet-of-Things, Big Data Analytics, and Cloud Computing on supply chain performance. Collecting data by questionnaires administered to a sample consists of supply chain managers of industrial firms. The results pointed out that these three smart solutions significantly and positively lift firms’ supply chain performance. That is, the hypotheses that Internet-of-Things, Big Data Analytics, and Cloud Computing have significant impacts on supply chain performance were supported. Therefore, the study concluded that for industrial firms to improve supply chain performance, such smart solutions should be assessed and applied. The study contributes to both academics and practitioners through providing empirical results on concurrent impacts of three advanced technologies in supply chain management context.
智能创新解决方案对供应链绩效的潜在影响
本研究旨在探讨物联网、大数据分析和云计算这三种智能创新解决方案对供应链绩效的影响。通过对工业企业供应链管理人员的问卷调查收集数据。结果表明,这三种智能解决方案显著且积极地提升了企业的供应链绩效。即支持物联网、大数据分析和云计算对供应链绩效有显著影响的假设。因此,研究得出结论,对于工业企业提高供应链绩效,应该评估和应用这种智能解决方案。本研究通过提供三种先进技术在供应链管理背景下的并行影响的实证结果,对学术界和实践者都有贡献。
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
Uncertain Supply Chain Management
Uncertain Supply Chain Management Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
5.60
自引率
0.00%
发文量
112
期刊介绍: Supply chain management (SCM) plays an essential role in managing the movement of raw materials into an organization, certain issues of the internal processing of materials into finished goods, and the movement of finished products out of the organization for end-consumer delivery. The goal of SCM is to improve trust and collaboration among supply chain partners and to improve inventory visibility. However, many SCM problems deal with uncertain events such as uncertainty in demand, supply, quality, price, etc. This forum is dedicated to all scholars who wish to share their ideas about uncertainty in SCM problems. Uncertain supply chain management is a quarterly publication dedicated to all scientists in all over the world who wish to share their experiences and knowledge in this field. Our policy is to perform a peer review on all submitted articles and publishes original and high quality articles.
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