Becerra-Fernandez and Sabherwal Framework
Becerra-Fernandez and Sabherwal (2010) note that technologies that support KM include artificial intelligence (AI) technologies including those used for knowledge acquisition and case-based reasoning systems, electronic discussion groups, computer-based simulations, databases, decision support systems, enterprise resource planning systems, expert systems, management information systems, expertise locator systems, videoconferencing, and information repositories including best practices databases and lessons learned systems. KM technologies also include the emergent Web 2.0 technologies, such as wikis and blog.
Becerra-Fernandez and Sabherwal (2010) propose 4 types of systems:
- Knowledge Discovery Systems
- Knowledge Capture Systems
- Knowledge Sharing Systems
- Knowledge Application Systems
Knowledge Discovery Systems support the process of developing new tacit or explicit knowledge from data and information or from the synthesis of prior knowledge.
Knowledge Discovery Systems support two KM subprocesses associated with knowledge discovery:
- combination, enabling the discovery of new explicit knowledge. Existing explicit knowledge may be re-contextualized to produce new explicit knowledge;
- socialization, facilitating the synthesis of tacit knowledge and therefore enabling the discovery of new tacit knowledge through joint activities rather than written or verbal instructions (Becerra-Fernandez and Sabherwal, 2010).
Knowledge Capture Systems support the process of retrieving either explicit or tacit knowledge that resides within people, artifacts, or organizational entities. These systems can help capture knowledge that resides within or outside organizational boundaries including within consultants, competitors, customers, suppliers, and prior employers of the organization's new employees.
Knowledge Sharing Systems support the process through which explicit or tacit knowledge is communicated to other individuals. These systems are also referred to as knowledge repositories.
Knowledge Application Systems support the process through which some individuals utilize knowledge possessed by other individuals without actually acquiring, or learning, that knowledge.
Knowledge application technologies, which support direction and routines includes:
- expert systems
- decision support systems
- advisor systems
- fault diagnosis (or troubleshooting) systems
- help desk systems.
Basic source for this text is: Becerra-Fernandez, I. and Sabherwal, R. (2010). Knowledge Management: Systems and Processes. Armonk (N.Y.); London : M.E. Sharpe. |
Sirje Virkus, Tallinn University, 2011