HomePsychology and Education: A Multidisciplinary Journalvol. 42 no. 6 (2025)

Structural Equation Modeling of Technology Adoption, Competencies, and Culture as Predictors of Personnel Performance in Philippine HEIs

Marlie Joy Sigod | Nenita I. Prado

Discipline: Information Technology

 

Abstract:

In the digital era, non-teaching personnel in higher education institutions (HEIs) play a crucial role in institutional effectiveness and advancing sustainable development goals (SDGs), yet their performance remains underexplored. This study investigates the interplay of digital technology adoption, digital competencies, and organizational culture in shaping the performance of non-teaching personnel in Philippine higher education institutions (HEIs). Utilizing a quantitative research approach, data were collected from 319 non-teaching personnel across public HEIs in Bukidnon, Misamis Oriental, and Lanao del Norte through stratified and purposive sampling. This study utilized Structural Equation Modeling (SEM) to analyze the relationships among variables and identify the best-fit model that explains personnel performance. The SEM analysis revealed that organizational culture (p<0.05, beta=0.312) and digital competencies (p<0.05, beta=0.533) have a significant influence on non-teaching personnel performance. On the other hand, organizational culture exerts the strongest influence on innovation (beta=0.922), digital competencies exerts the strongest influence on communication and collaboration (beta=0.843), and non-teaching personnel performance exerts the strongest influence on professional development engagement (beta=0.865). Although adopting digital technology was not directly significant, it indirectly influences personnel's performance by facilitating compatibility and ease of use through user-friendly digital tools. Also, data revealed that structural model-3 is the best fit model of public higher education institutions non-teaching personnel performance since the obtained value of the seven model fit indices used in this study are within the standard/good fit value range. The study reaffirms the resource-based view theory, emphasizing the strategic role of internal resources such as digital competencies and organizational culture. Based on the findings, SIGOD Personnel Performance Framework was developed, which emphasizes skills in the digital era, innovation in organizational culture, growth in professional development, optimization of performance metrics, and data-driven decision-making. Thus, the findings provide a valuable foundation for higher education institutions to implement strategic frameworks for workforce efficiency, adaptability, and sustainability.



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