商业智能、供应链整合和企业绩效之间的关系建模:实证研究

Q1 Decision Sciences

Uncertain Supply Chain Management Pub Date : 2023-01-01 DOI:10.5267/j.uscm.2023.4.016

A. Al-Radaideh, D. Almajali, Omar Mohammad Ali, K. Alsmadi, Hassan Al-Wahshat, Fawzieh Masa'd

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引用次数: 0

摘要

本研究旨在利用结构方程模型(SEM)对约旦中小企业(SMEs)的商业智能(BI)、供应链集成(SCI)和企业绩效之间的关系进行建模。该研究利用来自约旦不同部门的400家中小企业的样本来调查构式之间的假设关系。结果表明，商业智能对约旦中小企业SCI和企业绩效有正向影响。此外，SCI在商业智能与企业绩效之间起到中介作用。研究还发现，商业智能对企业绩效的影响完全由SCI介导，这表明SCI在约旦中小企业的企业绩效提升中起着至关重要的作用。该研究对中小企业背景下的供应链管理和商业智能的文献做出了几项重大贡献。首先，本文提供了商业智能对SCI和企业绩效的积极影响的实证证据。其次，揭示了SCI在商业智能与企业绩效关系中的中介作用。第三，本研究对约旦中小企业背景下供应链管理和商业智能的有限文献有所贡献。本研究结果对约旦中小企业管理者具有实际意义。他们强调了投资于商业智能工具和战略以提高SCI和公司绩效的重要性。此外，该研究建议管理者应专注于改善企业的商业智能实践，以充分利用商业智能的好处，提高企业的整体绩效。总体而言，本研究为约旦中小企业背景下商业智能、SCI和企业绩效之间的关系提供了新的见解。研究结果可以指导政策制定者、研究人员和从业人员制定和实施有效的战略，以改善中小企业的供应链管理和商业智能实践，特别是在约旦等新兴市场。

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Modeling the relationship between business intelligence, supply chain integration, and firm performance: Empirical study

This study aims to model the relationship between business intelligence (BI), supply chain integration (SCI), and firm performance in Jordanian small and medium-sized enterprises (SMEs) using structural equation modeling (SEM). The study utilizes a sample of 400 SMEs from different sectors in Jordan to investigate the hypothesized relationships between the constructs. The results show that BI positively influences SCI and firm performance in Jordanian SMEs. Moreover, SCI was found to mediate the relationship between BI and firm performance. The study also found that the impact of BI on firm performance is fully mediated by SCI, suggesting that SCI plays a crucial role in enhancing firm performance in the context of Jordanian SMEs. The study makes several significant contributions to the literature on supply chain management and business intelligence in the context of SMEs. First, it provides empirical evidence of the positive impact of BI on SCI and firm performance. Second, it sheds light on the mediating role of SCI in the relationship between BI and firm performance. Third, the study contributes to the limited literature on supply chain management and business intelligence in the context of Jordanian SMEs. The findings of this study have practical implications for managers of SMEs in Jordan. They highlight the importance of investing in BI tools and strategies to enhance SCI and firm performance. Additionally, the study suggests that managers should focus on improving their firms' SCI practices to fully exploit the benefits of BI and improve their overall performance. Overall, this study provides new insights into the relationship between BI, SCI, and firm performance in the context of Jordanian SMEs. The study's findings can guide policymakers, researchers, and practitioners in developing and implementing effective strategies to improve supply chain management and business intelligence practices in SMEs, particularly in emerging markets such as Jordan.

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来源期刊

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.