PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 5, 2026Journal of Knowledge Management0 citations

Balancing the efficiency of and ethical concerns surrounding artificial intelligence for responsible management education: a scoping review

View Full Paper
IJIbrahim Bamidele JimohAEAmr ElAlfyOAOsama Sam Al-Kwifi

Key Points

  • This study examines the impact of artificial intelligence on knowledge processes in responsible management education.
  • Conducted a scoping review based on Arksey and O’Malley’s framework and PRISMA guidelines.
  • Synthesized evidence from 40 peer-reviewed studies published between 2015 and 2025.
  • Analyzed literature across Scopus and Web of Science using thematic mapping.
  • AI is improving efficiency in knowledge creation and sharing within higher education.
  • Ethical concerns arise, including issues with plagiarism, bias, and data privacy.
  • Strong concentration of research on this topic exists in developed countries.

Abstract

Purpose This study aims to examine how artificial intelligence (AI) transforms knowledge processes within responsible management education (RME). By mapping existing research, the paper explores the adoption and application of AI within management education and its consequences for teaching, ethical concerns and knowledge management. Design/methodology/approach A scoping review was conducted following Arksey and O’Malley’s framework and PRISMA guidelines to synthesize evidence from 40 peer-reviewed studies published between 2015 and 2025. The review systematically analyzed literature across Scopus and Web of Science using thematic mapping aligned with knowledge management clusters. Findings AI is transforming how knowledge is created and shared in higher education. It improves efficiency by automating knowledge retrieval and connecting human insight with machine learning to support innovation in teaching and research. Yet, these advantages come with serious ethical concerns, including plagiarism, bias, data privacy and a lack of transparency that can undermine academic integrity. The review also reveals a strong concentration of research in developed countries. Practical implications The findings highlight the need for HEIs to adopt comprehensive frameworks that integrate knowledge management systems with ethical governance mechanisms. Universities can leverage AI to strengthen absorptive capacity and organizational learning while instituting clear accountability, transparency and data ethics protocols to ensure responsible AI adoption in education and research. Originality/value This study advances knowledge management research by linking AI-driven knowledge processes with the ethical and sustainability principles of RME. It broadens existing theory by showing how the transformation of knowledge, from individual insight to collective learning, and the view of knowledge as a strategic organizational resource can be aligned with responsible and transparent innovation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jimoh et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd3da79560c99a0a3167https://doi.org/10.1108/jkm-11-2025-1684
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial intelligence in higher education: the state of the field2023 · 1,739 citations
  2. 2The dynamics of knowledge behaviors: exploring drivers, triggers and paradoxes in knowledge sharing, hiding, hoarding and sabotage2025 · 39 citations
  3. 3Critical success factors, institutional actions and instructors’ acceptance of e-learning in higher education: a systematic review2024 · 2 citations
  4. 4Using thematic analysis in psychology2006 · 192,673 citations
  5. 5Leveraging Generative Artificial Intelligence with Transparency: Enhancing Academic Integrity in Higher Education2025 · 5 citations