PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 8, 20260 citationsOpen Access

Intellectual Property Law and Technology Transfer Dynamics in Nigerian Universities

View Full Paper
VOVictor Obiora-UmehJEJane Ezenwoke-EkwensuCCChika Chukwumeriya-Odili

Key Points

  • This research aims to explore how intellectual property law affects technology transfer in Nigerian universities.
  • Conducted semi-structured interviews with university officials, industry partners, and academics
  • Analyzed the dynamics of IP protection and technology diffusion
  • Examined local industry engagement in technology transfer
  • Universities primarily engage with local industries, favoring regional integration
  • Identified a need for tailored IP policies at Nigerian universities
  • Emphasized the importance of collaborative research with multinational companies

Abstract

Intellectual Property (IP) law in African universities is evolving to address challenges posed by rapid technological advancements and global IP trends. The research employs semi-structured interviews with university officials, industry partners, and academics to understand the dynamics of IP protection and technology diffusion in academic settings. A key finding is that universities predominantly engage with local industries for technology transfer, reflecting a preference for regional economic integration over international collaborations. The study underscores the need for tailored IP policies at Nigerian universities to enhance effectiveness and compliance with national and global standards. Universities should foster more collaborative research with multinational companies while strengthening collaboration networks within Nigeria's technology sector. Intellectual Property, Technology Transfer, Universities, Legal Frameworks, Stakeholder Engagement

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Obiora-Umeh et al. (2009) studied this question.

synapsesocial.com/papers/69ada8dfbc08abd80d5bc4b3https://doi.org/10.5281/zenodo.18899985
Ask AI
Helpful
Bookmark
Share
View Full Paper