Leveraging Learning Behavior and Network Structure to Improve Knowledge Gatekeepers’ Performance

Journal of Knowledge Management, Vol. 14, No. 5, pp. 635-658, 2010

24 Pages Posted: 5 Jul 2011 Last revised: 30 Apr 2013

See all articles by Vito Albino

Vito Albino

Politecnico di Bari

Nunzia Carbonara

Politecnico di Bari - Department of Mechanical and Management Engineering

Antonio Messeni Petruzzelli

Politecnico di Bari - Department of Mechanical and Management Engineering

Daniele Rotolo

SPRU (Science Policy Research Unit), University of Sussex

Date Written: 2010

Abstract

Purpose – The purpose of this paper is to investigate how universities’ learning behavior (explorative or exploitative) and network structure (weak or strong inter-organizational ties) can affect their capability to collect and diffuse knowledge, and thus to act as knowledge gatekeepers.

Design/methodology/approach – The research methodology is based on the longitudinal study (from 2000 to 2007) of three UK universities (University of Cambridge, London’s Global University, and Imperial College London), located in the area of London and selected on the basis of their knowledge mobility. In particular, to evaluate the knowledge mobility for each university, the paper considers the collaborative R&D relationships established by each university, in terms of joint-patents registered at the European Patent Office (EPO).

Findings – The analysis has revealed that the universities’ knowledge mobility is positively affected by both the explorative learning behavior and the establishment of strong inter-organizational ties. Moreover, results have shown that an increase of the explorative speed can entail a less positive effect of the exploration on the universities’ knowledge mobility, since they can become less able to consolidate and implement the acquired new knowledge.

Research limitations/implications – On the basis of these results, the present research provides interesting implications. In fact, recognizing the importance of explorative learning mechanisms, universities should enlarge and diversify their competencies and technological bases in order to be more effective knowledge sources and gatekeepers. Nevertheless, this shift towards new technologies and scientific fields should occur gradually, for instance towards more similar and contiguous technologies, so guaranteeing the necessary strengthening of skills and capabilities. Referring to the universities’ network structure, the research suggests the importance of strong inter-organizational ties as mechanisms that enable the transfer of knowledge. Hence, universities should promote the formation of stable and long-lasting alliances and collaborations for favouring the creation of a trustworthy environment where knowledge can be exchanged and innovations rise.

Originality/value – The study contributes to the existing literature on knowledge gatekeepers, identifying its main performance, measuring it, and analyzing the impact exerted by two factors, as learning behavior and network structure.

Keywords: Learning, Performance management, United Kingdom

JEL Classification: D83, O31, O32

Suggested Citation

Albino, Vito and Carbonara, Nunzia and Messeni Petruzzelli, Antonio and Rotolo, Daniele, Leveraging Learning Behavior and Network Structure to Improve Knowledge Gatekeepers’ Performance (2010). Journal of Knowledge Management, Vol. 14, No. 5, pp. 635-658, 2010, Available at SSRN: https://ssrn.com/abstract=1879068

Vito Albino

Politecnico di Bari ( email )

Via Edoardo Orabona
Bari, 70123
Italy

Nunzia Carbonara

Politecnico di Bari - Department of Mechanical and Management Engineering ( email )

Viale JApigia, 182
Bari, 70126
Italy

Antonio Messeni Petruzzelli (Contact Author)

Politecnico di Bari - Department of Mechanical and Management Engineering ( email )

Viale JApigia, 182
Bari, 70126
Italy

Daniele Rotolo

SPRU (Science Policy Research Unit), University of Sussex ( email )

Jubilee Building - Room 383
Brighton, Sussex BN19SL
United Kingdom

HOME PAGE: http://www.danielerotolo.com

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