{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T23:52:16Z","timestamp":1771717936425,"version":"3.50.1"},"reference-count":64,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T00:00:00Z","timestamp":1734998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Business intelligence and analytics (BI&amp;A) have recently emerged as a strategic approach to managerial tasks, providing opportunities to improve work performance. Despite the growing interest in evaluating cases of BI&amp;A adoption, to the best of our knowledge, few studies have addressed the influence of data-driven culture and the effects of BI&amp;A adoption specifically on the work performance of managers. The aim of this study is to assess whether a data-driven culture predicts the adoption of BI&amp;A in companies and its impact on decision-making effectiveness and managerial performance. This novel research model was tested with 180 managers from Romanian companies that work with BI&amp;A tools. Based on PLS-SEM data analysis, our findings suggest that a data-oriented culture is a strong predictor of BI&amp;A adoption and decision-making effectiveness. The results also confirm that BI&amp;A utilization positively impacts decision-making effectiveness and individual work performance. The primary implication drawn from empirical evidence is that executives should prioritize the cultivation of a data-driven culture within their organizations, as this is essential for enhancing managerial performance through the adoption of business intelligence and analytics.<\/jats:p>","DOI":"10.3390\/systems13010002","type":"journal-article","created":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T09:00:57Z","timestamp":1735030857000},"page":"2","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Assessing the Influence of Business Intelligence and Analytics and Data-Driven Culture on Managerial Performance: Evidence from Romania"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5428-3905","authenticated-orcid":false,"given":"Luminita","family":"Hurbean","sequence":"first","affiliation":[{"name":"Department of Finance, Information Systems and Modeling for Business, West University of Timisoara, 300115 Timisoara, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1268-1150","authenticated-orcid":false,"given":"Florin","family":"Militaru","sequence":"additional","affiliation":[{"name":"Department of Finance, Information Systems and Modeling for Business, West University of Timisoara, 300115 Timisoara, Romania"}]},{"given":"Valentin Partenie","family":"Munteanu","sequence":"additional","affiliation":[{"name":"Department of Finance, Information Systems and Modeling for Business, West University of Timisoara, 300115 Timisoara, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6269-8091","authenticated-orcid":false,"given":"Doina","family":"Danaiata","sequence":"additional","affiliation":[{"name":"Department of Finance, Information Systems and Modeling for Business, West University of Timisoara, 300115 Timisoara, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4861-3642","authenticated-orcid":false,"given":"Doina","family":"Fotache","sequence":"additional","affiliation":[{"name":"Accounting, Economic Informatics, and Statistics, \u201cAl. I. Cuza\u201d University of Iasi, 700505 Iasi, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8428-4415","authenticated-orcid":false,"given":"Mihaela","family":"Muntean","sequence":"additional","affiliation":[{"name":"East European Center for Research in Economics and Business, West University of Timisoara, 300115 Timisoara, Romania"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.procs.2017.11.027","article-title":"Business Intelligence and Analytics in Small and Medium-sized Enterprises: A Systematic Literature Review","volume":"121","author":"Llave","year":"2017","journal-title":"Procedia Comput. 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