Data Analysis and Domain Knowledge for Strategic Competencies Using Business Intelligence and Analytics

Mauricio Olivares Faúndez () and Hanns de la Fuente-Mella ()
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Mauricio Olivares Faúndez: Facultad de Economía y Negocios, Universidad Finis Terrae, Santiago 7501015, Chile
Hanns de la Fuente-Mella: Instituto de Estadística, Facultad de Ciencias, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340031, Chile

Mathematics, 2022, vol. 11, issue 1, 1-33

Abstract: This research arises from the demand in business management for capabilities that put into practice—in an autonomous way—skills and knowledge in BI&A of all those who make decisions and lead organizations. To this end, this study aims to analyze the development of scientific production over the last 20 years in order to provide evidence of possible gaps, patterns and emphasis on domains of strategic leadership competencies in BI&A. The study was split into two methodological phases. Methodological Phase 1: Application of analytical techniques of informetrics. Methodological Phase 2: natural language processing and machine learning techniques. The records collected were 1231 articles from the Web of Science and Scopus databases on 16 August 2021. The results confirm, with an r 2 = 96.9%, that a small group of authors published the largest number of articles on strategic leadership competencies in BI&A. There is also a strong emphasis on studies in the domain of professional capability development (92.29%), and there are few studies in the domain of enabling environment for learning (0.72%); the domain of expertise (3.01%) and strategic vision of BI&A was also rare (3.37%).

Keywords: informetric; intelligence and analytics; competencies; capacities; machine learning (ML); formalization of domain knowledge (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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