Ulster University Logo

Knowledge transfer in university quadruple helix ecosystems: an absorptive capacity perspective

Miller, Kristel, McAdam, Rodney, Moffett, Sandra, Alexander, Allen and Puthusserry, Pushyarag (2016) Knowledge transfer in university quadruple helix ecosystems: an absorptive capacity perspective. R&D Management, 46 (2). pp. 383-399. [Journal article]

This is the latest version of this item.

Full text not available from this repository.

DOI: 10.1111/radm.12182

Abstract

Increased understanding of knowledge transfer (KT) from universities to the wider regional knowledge ecosystem offers opportunities for increased regional innovation and commercialisation. The aim of this article is to improve the understanding of the KT phenomena in an open innovation context where multiple diverse quadruple helix stakeholders are interacting. An absorptive capacity-based conceptual framework is proposed, using a priori constructs which portrays the multidimensional process of KT between universities and its constituent stakeholders in pursuit of open innovation and commercialisation. Given the lack of overarching theory in the field, an exploratory, inductive theory building methodology was adopted using semi-structured interviews, document analysis and longitudinal observation data over a three-year period. The findings identify five factors, namely human centric factors, organisational factors, knowledge characteristics, power relationships and network characteristics, which mediate both the ability of stakeholders to engage in KT and the effectiveness of knowledge acquisition, assimilation, transformation and exploitation. This research has implications for policy makers and practitioners by identifying the need to implement interventions to overcome the barriers to KT effectiveness between regional quadruple helix stakeholders within an open innovation ecosystem.

Item Type:Journal article
Keywords:University technology transfer; absorptive capacity; triple helix
Faculties and Schools:Faculty of Computing & Engineering
Ulster Business School > Department of Management and Leadership
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Ulster Business School
Research Institutes and Groups:Business and Management Research Institute
ID Code:35596
Deposited By: Professor Rodney McAdam
Deposited On:06 Sep 2016 09:47
Last Modified:06 Sep 2016 09:47

Available Versions of this Item

Repository Staff Only: item control page