IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Using Actor-Network Theory to Facilitate a Superior Understanding of Knowledge Creation and Knowledge Transfer

Using Actor-Network Theory to Facilitate a Superior Understanding of Knowledge Creation and Knowledge Transfer
View Sample PDF
Author(s): Nilmini Wickramasinghe (RMIT University, Australia), Arthur Tatnall (Victoria University, Australia)and Rajeev K. Bali (Coventry University, UK)
Copyright: 2010
Volume: 2
Issue: 4
Pages: 13
Source title: International Journal of Actor-Network Theory and Technological Innovation (IJANTTI)
DOI: 10.4018/jantti.2010100104

Purchase


Abstract

Given today’s dynamic business environment it becomes essential for organisations to maximise their intellectual assets in order to ensure that they are able to support flexible operations and sustain their competitive advantage. Central to this is the ability to extract germane knowledge to enable rapid and effective decision making. At present, knowledge creation techniques tend to focus on either human or technology aspects of organisational development and less often on process-centric aspects of knowledge generation. However, to truly understand knowledge creation and transfer, thereby enabling an organisation to be better positioned to leverage the full potential of its intellectual capital, it is important to view knowledge creation and all socio-technical organisational operations that result in knowledge generation through a richer lens. Actor-network Theory is proffered in this article as such a lens.

Related Content

Hafiz Muhammad Umair Munir, Waqar Shahid Qureshi. © 2022. 17 pages.
Antoine Trad. © 2021. 24 pages.
Patricia G. Foley, Kathleen Hargiss, Caroline Howard, Anne Pesanvento. © 2021. 12 pages.
Maria Lai-Ling Lam, Kei-Wing Wong. © 2021. 20 pages.
Alexander Shamliev, Peter Mitrouchev, Maya Dimitrova. © 2020. 19 pages.
Marina Santini, Min-Chun Shih. © 2020. 13 pages.
Zhijing Ye, Fei Hu, Lin Zhang, Zhe Chu, Zheng O'Neill. © 2020. 23 pages.
Body Bottom