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

Improving organizational performance is a priority for the managers and experts of companies. Performance appraisal capabilities are activities that use available information to improve business processes and achieve company goals. Knowledge information entered into companies, on the one hand, is ef...

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Main Authors: Wang, Jianwen, Omar, Abdullah Hisam, Alotaibi, Fahad M., Daradkeh, Yousef Ibrahim, Althubiti, Sara A.
Format: Article
Published: Elsevier Ltd. 2022
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Online Access:http://eprints.utm.my/id/eprint/100438/
http://dx.doi.org/10.1016/j.ipm.2022.103075
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spelling my.utm.1004382023-04-14T01:44:31Z http://eprints.utm.my/id/eprint/100438/ Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage Wang, Jianwen Omar, Abdullah Hisam Alotaibi, Fahad M. Daradkeh, Yousef Ibrahim Althubiti, Sara A. HG Finance Improving organizational performance is a priority for the managers and experts of companies. Performance appraisal capabilities are activities that use available information to improve business 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 intelligence (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 companies 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 variables of integration of BII on BI capabilities is β = 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 β = 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 β = 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. Elsevier Ltd. 2022 Article PeerReviewed Wang, Jianwen and Omar, Abdullah Hisam and Alotaibi, Fahad M. and Daradkeh, Yousef Ibrahim and Althubiti, Sara A. (2022) Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage. Information Processing and Management, 59 (6). pp. 1-14. ISSN 0306-4573 http://dx.doi.org/10.1016/j.ipm.2022.103075 DOI: 10.1016/j.ipm.2022.103075
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HG Finance
spellingShingle HG Finance
Wang, Jianwen
Omar, Abdullah Hisam
Alotaibi, Fahad M.
Daradkeh, Yousef Ibrahim
Althubiti, Sara A.
Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
description Improving organizational performance is a priority for the managers and experts of companies. Performance appraisal capabilities are activities that use available information to improve business 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 intelligence (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 companies 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 variables of integration of BII on BI capabilities is β = 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 β = 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 β = 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.
format Article
author Wang, Jianwen
Omar, Abdullah Hisam
Alotaibi, Fahad M.
Daradkeh, Yousef Ibrahim
Althubiti, Sara A.
author_facet Wang, Jianwen
Omar, Abdullah Hisam
Alotaibi, Fahad M.
Daradkeh, Yousef Ibrahim
Althubiti, Sara A.
author_sort Wang, Jianwen
title Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
title_short Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
title_full Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
title_fullStr Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
title_full_unstemmed Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
title_sort business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
publisher Elsevier Ltd.
publishDate 2022
url http://eprints.utm.my/id/eprint/100438/
http://dx.doi.org/10.1016/j.ipm.2022.103075
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score 13.160551