Results 331 to 340 of about 17,943,940 (388)
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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   +3 more
semanticscholar   +1 more source

Knowledge management, customer relationship management and innovation capabilities

, 2020
Purpose The purpose of this study is to introduce a unified framework, which integrates knowledge management (KM) (knowledge acquisition, diffusion and application, knowledge from a customer, knowledge about customers and knowledge for customers ...
M. Migdadi
semanticscholar   +1 more source

Knowledge Management

Critical Care Nursing Quarterly, 2009
Almost everything we do in nursing is based on our knowledge. In 1984, Benner (From Novice to Expert: Excellence and Power in Clinical Nursing Practice. Menlo Park, CA: Addison-Wesley; 1984) described nursing knowledge as the culmination of practical experience and evidence from research, which over time becomes the "know-how" of clinical experience ...
Jane A, Anderson, Pamela, Willson
openaire   +2 more sources

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   +3 more
semanticscholar   +1 more source

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   +2 more
openaire   +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   +2 more sources

Data and Knowledge Management

2022
Data and Knowledge Management, sometimes also called Information Management, is a core topic of Data Engineering and Data Mining. It is also an interdisciplinary field, touching economics (how efficient and expensive is the solution?), psychology (does one use this solution in a way that was intended?) and, of course, informatics. This chapter offers a
Meigen, Christof   +4 more
openaire   +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   +2 more
semanticscholar   +1 more source

Knowledge and Knowledge Management

2021
Knowledge and knowledge management have been examined by researchers for several decades now. However, there is still no unanimity among researchers on those key terms. This chapter clarifies and introduces some notions and classifications that are essential for and applied in the remaining parts of this book.
openaire   +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   +4 more
semanticscholar   +1 more source

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