Results 311 to 320 of about 12,811,711 (369)

Communities of practice and knowledge management systems: effects on knowledge management activities and innovation performance

Knowledge Management Research & Practice, 2020
We empirically analyze the effects of a company’s community of practice and knowledge management system on knowledge management activities and management performance.
Hyun-ju Choi, Jongchang Ahn, Seung-hye Jung, Joon-ho Kim   +3 more
semanticscholar   +1 more source

Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management

Journal of Knowledge Management, 2019
PurposeStructural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as
G. C. Carrion, J. Cegarra-Navarro, Valentina Cillo   +2 more
semanticscholar   +1 more source

Big data analytics capabilities and knowledge management: impact on firm performance

Management Decision, 2019
Purpose Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information for businesses and transformed into big data related-knowledge and efficient decision-making processes, thereby improving performance. However,
Alberto Ferraris, A. Mazzoleni, A. Devalle, Jerome Couturier   +3 more
semanticscholar   +1 more source

From knowledge management to organizational performance

Journal of Enterprise Information Management, 2019
Purpose The purpose of this paper is to empirically investigate the effects of knowledge management (KM) enablers on KM processes in research universities and testing the direct relation between KM processes and OP.
Amjad Iqbal, F. Latif, F. M. Viadiu, U. Sahibzada, S. Hussain   +4 more
semanticscholar   +1 more source

Managing the paradox: the valuation of knowledge and knowledge management

Journal of Information Science, 2002
The valuation of knowledge, and hence the assessment of the usefulness of approaches and programmes for managing knowledge, is a difficult, yet vital, task. This paper reviews some recent approaches, setting them in a context of wider philosophical and pragmatic issues. It identifies some paradoxical qualities of information and knowledge at the heart
David Bawden, Penelope A. Yates-Mercer
openaire   +2 more sources

The integration between knowledge management and dynamic capabilities in agile organizations

Management Decision, 2019
Purpose The purpose of this paper is to describe and analyze how the integration between knowledge management and dynamic capabilities in contexts that demand organizational agility contributes to the management by objectives.
F. Oliva, Marcelo Henrique Gomes Couto, Ricardo Fernandes Santos, Stefano Bresciani   +3 more
semanticscholar   +1 more source

Knowledge management with patterns

Communications of the ACM, 2003
Developing techniques to improve the process of converting information to knowledge.
May, D. C., Taylor, P.
openaire   +3 more sources

Knowledge Management and Knowledge Management Systems

2005
Organizations are fast realizing that knowledge management (KM) is critical to achieve competitive sustainability. However, mere realization that KM is critical does not ensure a smooth road to success. Fifty to seventy percent of KM initiatives reportedly fail.
Deniz Eseryel, U. Yeliz Eseryel, W. Allyn   +2 more
openaire   +1 more source

Analysis of the relationship between open innovation, knowledge management capability and dual innovation

Technology Analysis & Strategic Management, 2019
The essence of innovation lies in the utilisation of knowledge. To ensure innovation and sustainability, this study constructs an internal linkage framework for open innovation, knowledge management capability and dual innovation.
Yongbo Sun, Jingyan Liu, Yixin Ding
semanticscholar   +1 more source

Knowledge management - learning from knowledge engineering

, 2019
From the Publisher: Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field.
J. Liebowitz
semanticscholar   +1 more source