4.7 Article

Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage

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ELSEVIER SCI LTD
DOI: 10.1016/j.ipm.2022.103075

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Artificial Intelligence AI; Business Intelligence BI; Data Mining Systems DMS; Performance Evaluation Capabilities PEC; Business Intelligence Infrastructure BII

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This study aims to improve organizational performance in privately held companies through the use of business intelligence (BI) and artificial intelligence (AI) in data mining systems (DMS). The results indicate that BI capabilities and reliability have an impact on performance capabilities, and performance evaluation capabilities (PEC) impact competitive advantage. Additionally, the integration of BI infrastructure and BI reliability affects performance capabilities. Innovation also plays a significant role in improving company performance.
Improving organizational performance is a priority for the managers and experts of companies. Performance appraisal capabilities are activities that use available information to improve busi-ness processes and achieve company goals. Knowledge information entered into companies, on the one hand, is effective in learning people and, on the other hand, is used in management decisions. This study aims to improve these organizational performances by using Business in-telligence (BI) and Artificial intelligence (AI) on Data mining systems (DMS) in privately held companies. This descriptive survey study is based on the purpose of applied and quantitative research. The statistical population includes managers of privately held companies. These com-panies use BI and AI in their data mining systems. The results revealed that BI capabilities & reliability affect performance capabilities. Further, Performance evaluation capabilities (PEC) impact competitive advantage; Since the BI capabilities are related to BI reliability, thus, Business intelligence infrastructure (BII) impresses BI reliability. Path coefficient between the two vari-ables of integration of BII on BI capabilities is beta = 0.389. Moreover, the T-statistic between these two variables is t = 5.768. Path coefficient between the two variables of BI capabilities over reliability business intelligence is beta = 0.158. Moreover, the T-statistic between these two variables is t =1.967. Path coefficient between the two variables of Integrate BII with business intelligence reliability is beta = 0.344. Moreover, the T-statistic between these two variables is t = 4.452. Innovation has a significant impact on the company's performance by creating an improved market position, which indicates a competitive advantage and superior performance.

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