I know you have all been eagerly anticipating the next instalment in my series of information system blogs. In the last few weeks I have discussed Executive Support Systems, Management Information Systems and Decision Support Systems. If you have missed these blogs check them out!(http://goo.gl/nia3K) In this blog I will be focusing on ‘Knowledge Management Systems’ (KMS).
In general, a KMS is a centralized repository of information: a public library, a database of related information about a particular subject, and wordpess.com could all be considered to be examples of KMSs.
Essentially there are three types of KMSs: Enterprise-wide Knowledge Management Systems, Knowledge Work Systems, and Intelligent Techniques.
Enterprise-wide Knowledge Management Systems are general-purpose firmwide efforts to collect, store, distribute, and apply digital content and knowledge. Such a system has the capability to search for information, storing both structured and unstructured data, and locating employee expertise within a firm. Other features of the system include support technologies such as portals, search engines, collaboration tools, and learning management systems.
Barrick Gold, the world’s leading gold producer, uses Open Text LiveLink Enterprise Content Management tools to manage the massive amounts of information requires for building mines.
Knowledge Work Systems are specialised systems built for professionals charged with discovering and creating new knowledge for a company. Knowledge workers include researchers, designers, architects, scientists, and engineers who primarily create knowledge and information for the organisation.
Major knowledge work applications include Computer Aided Design (CAD) system, virtual reality systems for stimulation and modelling, and financial workstations.
Finally, knowledge management also includes a diverse group of Intelligent Techniques, such as data mining, expert systems, neutral networks, fuzzy logic, genetic algorithms, and intelligent agents. These techniques have different objectives, from a focus on discovering knowledge (data mining and neural networks), to distilling knowledge in the form of rules for a computer program (expert systems and fuzzy logic), to discovering optimal solutions for problems (genetic algorithms).
I hope this blog has given you a better understanding of Knowledge Management Systems. In my next blog I will be talking about Transaction Processing Systems (TPS), so keep an eye out. Please feel free to leave some feedback!
‘Management Information Systems Managing the Digital Firm’ by Kenneth C. Laudon and Jane P. Laudon