Adaptive Capacity in Education

Authors

Keywords:

adaptive capacity, educational organizations, organizational capabilities, educational bricolage, relational infrastructure, quality culture, institutional legitimacy

Abstract

Educational organizations are being asked to do more with less while navigating increasingly complex expectations. This editorial conceptualizes adaptive capacity in education as the organizational ability to sustain purposeful action amid resource scarcity, relational interdependence, quality pressures, and institutional plurality. Synthesizing five complementary theoretical perspectives, it shows how adaptation emerges through resource recombination, relational infrastructure, strategic quality capability, cultural institutionalization, and legitimacy navigation. Together, these mechanisms reveal adaptation not as episodic reaction, but as a recursive process through which educational organizations build, renew, and sustain organizational capability under complexity.

References

Black, S., Samson, D., & Ellis, A. (2024). Moving beyond ‘proof points’: Factors underpinning AI-enabled business model transformation. International Journal of Information Management, 77, 102796. https://doi.org/10.1016/j.ijinfomgt.2024.102796

Haftor, D. M., Costa-Climent, R., & Ribeiro-Navarrete, S. (2024). Firms’ use of predictive artificial intelligence for economic value creation and appropriation. International Journal of Information Management, 79, 102836. https://doi.org/10.1016/j.ijinfomgt.2024.102836

Jorzik, P., Klein, S. P., Kanbach, D. K., & Kraus, S. (2024). AI-driven business model innovation: A systematic review and research agenda. Journal of Business Research, 182, 114764. https://doi.org/10.1016/j.jbusres.2024.114764

Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072

Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574–587. https://doi.org/10.1016/j.jbusres.2021.05.009

Downloads

Published

2026-09-07