20 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric Analysis
Background: Business intelligence (BI) is an area in which data analytics is applied to generate crucial information supporting business decision-making and has been a significant domain for over three decades. However, there is uncertainty regarding whether investments can effectively improve organ...
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| Format: | Article |
| Language: | English |
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Universitas Airlangga
2024-10-01
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| Series: | Journal of Information Systems Engineering and Business Intelligence |
| Online Access: | https://e-journal.unair.ac.id/JISEBI/article/view/54770 |
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| author | Abdessamad Charkaoui Siham Jabraoui |
| author_facet | Abdessamad Charkaoui Siham Jabraoui |
| author_sort | Abdessamad Charkaoui |
| collection | DOAJ |
| description | Background: Business intelligence (BI) is an area in which data analytics is applied to generate crucial information supporting business decision-making and has been a significant domain for over three decades. However, there is uncertainty regarding whether investments can effectively improve organizational outcomes.
Objective: This study aimed to provide a comprehensive overview of the knowledge generated and disseminated in previous investigations related to the intricate relationship between BI and decision-making performance (DMP) over the past 20 years.
Methods: An R-tool namely bibliometrix, which supports suggested workflow for conducting bibliometrics and includes descriptive as well as knowledge structure analysis was used on a dataset containing 1,484 English-language articles published between 2003 and 2023 and indexed in Web of Science databases.
Results: The results showed that field study has stabilized over the past three years, signaling a shift in the focus of scholars. However, only a few studies use decision theory and further investigations are required to fully understand how BI impacts DMP both inside and outside organizational boundaries.
Conclusion: Based on the results, BI studies tend to be more application-oriented and there is a need to change the emphasis from focusing only on tools to variables such as the role of effective use and competencies that might improve decision quality.
Keywords: Business Intelligence, Decision-Making Performance, Decision Quality, Bibliometrics, R-tool. |
| format | Article |
| id | doaj-art-73505a21486f41cab0502241a6aefe12 |
| institution | Kabale University |
| issn | 2598-6333 2443-2555 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Universitas Airlangga |
| record_format | Article |
| series | Journal of Information Systems Engineering and Business Intelligence |
| spelling | doaj-art-73505a21486f41cab0502241a6aefe122025-01-09T07:57:33ZengUniversitas AirlanggaJournal of Information Systems Engineering and Business Intelligence2598-63332443-25552024-10-0110340842110.20473/jisebi.10.3.408-4215293220 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric AnalysisAbdessamad Charkaoui0https://orcid.org/0000-0002-8812-8767Siham Jabraoui1https://orcid.org/0000-0001-7427-896XNational School of Business and Management Casablanca, University Hassan II, Casablanca, Morocco National School of Business and Management Casablanca, University Hassan II, Casablanca, Morocco Background: Business intelligence (BI) is an area in which data analytics is applied to generate crucial information supporting business decision-making and has been a significant domain for over three decades. However, there is uncertainty regarding whether investments can effectively improve organizational outcomes. Objective: This study aimed to provide a comprehensive overview of the knowledge generated and disseminated in previous investigations related to the intricate relationship between BI and decision-making performance (DMP) over the past 20 years. Methods: An R-tool namely bibliometrix, which supports suggested workflow for conducting bibliometrics and includes descriptive as well as knowledge structure analysis was used on a dataset containing 1,484 English-language articles published between 2003 and 2023 and indexed in Web of Science databases. Results: The results showed that field study has stabilized over the past three years, signaling a shift in the focus of scholars. However, only a few studies use decision theory and further investigations are required to fully understand how BI impacts DMP both inside and outside organizational boundaries. Conclusion: Based on the results, BI studies tend to be more application-oriented and there is a need to change the emphasis from focusing only on tools to variables such as the role of effective use and competencies that might improve decision quality. Keywords: Business Intelligence, Decision-Making Performance, Decision Quality, Bibliometrics, R-tool.https://e-journal.unair.ac.id/JISEBI/article/view/54770 |
| spellingShingle | Abdessamad Charkaoui Siham Jabraoui 20 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric Analysis Journal of Information Systems Engineering and Business Intelligence |
| title | 20 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric Analysis |
| title_full | 20 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric Analysis |
| title_fullStr | 20 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric Analysis |
| title_full_unstemmed | 20 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric Analysis |
| title_short | 20 Years of Scientific Study on Business Intelligence and Decision-Making Performance: A Bibliometric Analysis |
| title_sort | 20 years of scientific study on business intelligence and decision making performance a bibliometric analysis |
| url | https://e-journal.unair.ac.id/JISEBI/article/view/54770 |
| work_keys_str_mv | AT abdessamadcharkaoui 20yearsofscientificstudyonbusinessintelligenceanddecisionmakingperformanceabibliometricanalysis AT sihamjabraoui 20yearsofscientificstudyonbusinessintelligenceanddecisionmakingperformanceabibliometricanalysis |