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

Author

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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)

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%).

Suggested Citation

  • Mauricio Olivares Faúndez & Hanns de la Fuente-Mella, 2022. "Data Analysis and Domain Knowledge for Strategic Competencies Using Business Intelligence and Analytics," Mathematics, MDPI, vol. 11(1), pages 1-33, December.
  • Handle: RePEc:gam:jmathe:v:11:y:2022:i:1:p:34-:d:1011170
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    References listed on IDEAS

    as
    1. Mauricio Olivares Faúndez & Hanns de la Fuente-Mella, 2022. "Skills Measurement Strategic Leadership Based on Knowledge Analytics Management through the Design of an Instrument for Business Managers of Chilean Companies," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    2. Paul Travis Nicholls, 1989. "Bibliometric modeling processes and the empirical validity of Lotka's Law," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(6), pages 379-385, November.
    3. Arho Suominen & Hannes Toivanen, 2016. "Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(10), pages 2464-2476, October.
    4. Ebadi, Ashkan & Auger, Alain & Gauthier, Yvan, 2022. "Detecting emerging technologies and their evolution using deep learning and weak signal analysis," Journal of Informetrics, Elsevier, vol. 16(4).
    5. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. William W. Hood & Concepción S. Wilson, 2001. "The Literature of Bibliometrics, Scientometrics, and Informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 291-314, October.
    7. Musarra, Giuseppe & Kadile, Vita & Zaefarian, Ghasem & Oghazi, Pejvak & Najafi-Tavani, Zhaleh, 2022. "Emotions, culture intelligence, and mutual trust in technology business relationships," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
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