RT Journal Article
T1 Stakeholder engagement and strategic innovation in higher education through AI competency
A1 Núñez Canal, Margarita
A1 Obesso Arias, María de las Mercedes de
A1 Pérez Rivero, Carlos Alberto
A1 Álvarez de Mon, Ignacio
AB This research answers the following question: How do the competencies and attitudes of university faculty toward artificial intelligence (AI) impact student learning? Using human capital theory and stakeholder theory, this research highlights the importance of university faculty. The research uses an adaptation of a digital competence framework specifically for AI competence. A total of 105 responses from professors in business studies (e.g., entrepreneurship, strategy, finance, and marketing) were collected from university faculty. Four hypotheses were proposed, two of which were confirmed. Professors' ability to leverage AI for feedback, assessment, and pedagogy is linked to their commitment to enhancing student learning. Professors' attitudes toward the use of AI, data governance, and ethical considerations are also associated with their focus on improving student learning. The study finds that faculty AI competence can enhance institutional effectiveness. Educators are a crucial resource for higher education institutions. Equipping them with the necessary skills for the effective use of AI can enhance both institutional capacity and pedagogical innovation.
PB Elsevier
SN 2530-7614
YR 2026
FD 2026-05-26
LK https://hdl.handle.net/20.500.14352/129703
UL https://hdl.handle.net/20.500.14352/129703
LA eng
NO Núñez-Canal, M., De Obesso Arias, M. D. L. M., Pérez-Rivero, C. A., & Álvarez-de-Mon, I. (2026). Stakeholder engagement and strategic innovation in higher education through AI competency. Journal of Innovation & Knowledge, 13, 100920. https://doi.org/10.1016/j.jik.2025.100920
DS Docta Complutense
RD 21 mar 2026