Knowledge management systems (KMS) are distinct from transaction processing systems, decision support systems or expert systems because of their main mission to transform experiences into explicit knowledge within an organization or given information processing place. Experience is an important and critical part of KMS because, when individuals receive new information, the information is processed in light of past experience to develop and create new knowledge.
The objective of this special issue is to present research exploring the creation of knowledge repositories, improving knowledge assets, enhancing the knowledge environment, managing knowledge as an asset, and big data and analytics.
This special issue will aid scientists, policy makers and professionals by discussing the latest theories, state-of-the-art techniques and applications. Special emphasis will be placed on the interaction between theoretical concepts and practical implementations, the exchange between policy analysts and policy makers, and the interface between analytic concepts and human and organisational problem solvers.
Suitable topics include, but are not limited to, the following:
- Techniques, methods and models in accessing big data as part of KMS
- Case studies of utilising big data in KMS initiatives
- How filtered big data results can be used continuously as organisational knowledge
- Big data and its implications for personal knowledge management
- Identifying gaps between traditional data and information approaches and the opportunities in big data
- Market analysis - systems vendors and organisational users
- New organisational big data and analytics initiatives as part of knowledge management strategy and practice
- Trends in big data - e-commerce
- M-commerce and ubiquitous commerce
- Internet of Things and big data for knowledge management
Manuscripts due by: 30 September, 2017
Notification to authors: 30 November, 2017
Final versions due by: 30 January, 2018