2026· International journal of research and innovation in social science· 0 citations
TL;DR
Investigation of the contextual conditions that constrain strategic leadership adaptation to AI-driven transformation across Zambia's twelve Tier 1 private higher education institutions finds that constraint operates from two directions: structural conditions bearing down from above, and regulatory ambiguity and capability deficits operating from within.
Abstract
Strategic leaders who recognise artificial intelligence's importance do not necessarily have the freedom to act on that recognition. This paper investigates the contextual conditions that constrain strategic leadership adaptation to AI-driven transformation across Zambia's twelve Tier 1 private higher education institutions, using a sequential exploratory mixed-methods design combining a structured questionnaire completed by one hundred governance-role staff with semi-structured interviews conducted with twelve strategic leaders purposively drawn from five institutions. The paper finds that constraint operates from two directions: structural conditions bearing down from above, in the form of financial resource scarcity, infrastructure and connectivity limitations, and regulatory ambiguity, and capability deficits operating from within, in the form of uneven staff digital competence and institutional cultures oriented toward compliance rather than proactive governance. Financial and infrastructural constraint are the most acutely felt of these conditions, but regulatory ambiguity produces a counterintuitive dynamic: rather than creating latitude for institutions to act as they see fit, the absence of a sector-specific mandate produces governance paralysis in institutional cultures built around compliance with external accreditation and regulatory bodies. Financial and infrastructural constraints are compounded by a familiar sustainability failure: externally funded capacity-building erodes once donor support ends, leaving institutions no more resilient than before. Read together, these conditions are interpreted, on the qualitative evidence rather than a tested statistical interaction, as a pincer constraint that would plausibly limit institutional response even among leaders with considerably stronger individual AI literacy than the sector currently possesses; composite-level testing did not find contextual constraint significantly associated with strategic leadership adaptation. The paper's originality lies in documenting, for the first time empirically, how these structural and capability constraints interact and compound within Africa's private higher education sector, with implications for institutional strategy, sector regulation, and national infrastructure and funding policy.
Artificial intelligence tools are already in daily use across Zambia's private higher education institutions, yet little is known about whether the leaders responsible for governing that use are equipped to do so, or whether their institutions have built the structures to support them. This paper reports findings from...
Innocent Kumwenda, Joe Likando, M. Malama et al.· International journal of res...· 0 citations
The study generated the framework Contextualizing Responsible AI Governance Through Adaptive School Leadership, which explains responsible AI governance as a continuing process of policy interpretation, contextual adaptation, institutional capacity building, ethical accountability, and stakeholder collaboration.
Venz Mae Siodo· QualiSearch Journal of Educa...· 0 citations
Investigating the institutionalisation of GenAI governance through a management-oriented qualitative document analysis of three documents indicates that GenAI governance becomes institutionalised not solely through policy formulation, but through organisational capacity to translate technological change into assigned r...
L. S. C. Arrabaca· Journal of global economics,...· 0 citations
This study examines values-based AI governance in Jordanian media institutions through a secondary qualitative analysis of eleven expert interviews originally collected in 2024 for a broader doctoral study, and links normative values to professional safeguards, organisational structures, and legal-societal alignment ac...
Saqer Rasheed Ahmad Alammouri, Fauziah Hassan, I. Awais· Ulum Islamiyyah· 0 citations
This study examines the gaps that still exist between technology adoption, the responsible use of AI, and information system governance, particularly in the use of Generative AI. To address these issues, this study proposes a multi-layered Human Oversight Architecture grounded in the Human-Centered AI (HCAI) approach....
Zahra Salsabilla, S. Sasmoko, Davy Ronald Hermanus· International Conferences on...· 0 citations
Vietnam legislated artificial intelligence faster than almost any comparable middle-income state, moving from a first national AI strategy in 2021 to a standalone Law on Artificial Intelligence in December 2025. Universities occupy an odd position inside the resulting framework. This study asks what Vietnamese AI polic...
Vuong Thanh Long Nguyen· Dialogues in Humanities and...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.