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Scientific Article details

Title Skills Measurement Strategic Leadership Based on Knowledge Analytics Management through the Design of an Instrument for Business Managers of Chilean Companies
ID_Doc 65865
Authors Faúndez, MO; De La Fuente-Mella, H
Title Skills Measurement Strategic Leadership Based on Knowledge Analytics Management through the Design of an Instrument for Business Managers of Chilean Companies
Year 2022
Published Sustainability, 14.0, 15
DOI 10.3390/su14159299
Abstract The growth of business intelligence and analytics (BI&A) and technological advancement is having an impact on business dynamics, implying that executives need to adjust their management skills to create value and a sustainable competitive advantage in agile environments. In this research study, a model (LDM-BI&A) consisting of knowledge and skills domains for BI&A leadership has been proposed to measure strategic leadership skills for BI&A business managers in Chilean SMEs. The skills were studied according to their demand (role requirements) and supply (university curricula in Chile). Factorial validity was determined using Confirmatory Factor Analysis, showing that the model satisfactorily fit the data. The instrument proves reliable, showing solid psychometric properties, and contributes to the literature as it has the design and empirical validation of an instrument that measures skills linked to business managers in Chilean SMEs. This will provide support to Human Resources managers on how BI&A leadership skills can be diagnosed, maintained, and developed.
Author Keywords business intelligence; business analytics; capability; entrepreneurial competences; skill leadership; knowledge management
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000839358300001
WoS Category Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
PDF https://www.mdpi.com/2071-1050/14/15/9299/pdf?version=1659087304
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