Articlegold2025

Employee creativity and innovation in higher education institutions: applying the dynamic componential model of creativity and innovation

Azadeh Amoozegar · Oghenekevwe Erasmos Esohwode · Wen Hui Pee · Ayman Abdel Rahman Mohamed Ismaeil · Mohit Yadav

14 citations0/0 files storedFrontiers in Psychology

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Job Satisfaction and Organizational Behavior Creativity in Education and Neuroscience Employee Performance and Leadership

Abstract

Introduction: In today's highly competitive landscape, higher education institutions must adopt innovative practices to thrive and maintain academic excellence. The engagement of academic staff is essential for driving such innovation. While previous studies have examined the influence of personal and workplace factors separately, this study investigates the roles of employee resilience, emotional intelligence, and job autonomy-alongside the mediating effect of employee creativity-on employee innovation in higher education, drawing on the Dynamic Componential Model of Creativity and Innovation. Methods: A quantitative research design was used, surveying 307 academic staff members from federal and state universities in South-Western Nigeria. The study employed a structural equation modeling approach via SmartPLS4 to test the hypothesized relationships among employee resilience, emotional intelligence, job autonomy, creativity, and innovation. Results: The findings confirm that employee resilience, emotional intelligence, and job autonomy significantly contribute to employee innovation. Additionally, mediation analysis reveals that both resilience and job autonomy foster innovation indirectly through employee creativity, whereas emotional intelligence does not exert a significant indirect effect. Discussion: These results underscore the importance of cultivating resilience, autonomy, emotional intelligence, and creativity among academic staff as a strategic means to promote innovation within universities. They demonstrate that interventions emphasizing both personal growth and supportive work environments can meaningfully advance innovative practices and enhance academic excellence.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 14 citations exist upstream.

References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 2018When to use and how to report the results of PLS-SEM 1988On the Evaluation of Structural Equation Models 2001The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions.2009\nThe use of partial least squares path modeling in international marketing 1975Development of the Job Diagnostic Survey.1994DETERMINANTS OF INNOVATIVE BEHAVIOR: A PATH MODEL OF INDIVIDUAL INNOVATION IN THE WORKPLACE.

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.