Chapter One Introduction To Knowledge Management 1 What is knowledge The ability to use information, Understanding, awareness, or familiarity acquired through education or experience. Anything that has been learned, perceived, discovered, inferred, or understood. •Knowledge is part of the hierarchy made up of data, information and knowledge. Data are raw facts. Information is data with context and perspective. Knowledge is information with guidance for action based upon insight and experience. Data is a number or word or letter without any context. When data is further processed, it becomes information When information is further processed, it has the potential for becoming knowledge Wisdom is the ability to make sensible decisions and judgments based on personal knowledge and experience. 2 Conceptual Progression from Data to Knowledge 3 Type of knowledge • In general, there are two types of knowledge namely: tacit knowledge and explicit knowledge. tacit knowledge: is the knowledge that people carry in their heads. It is much less concrete than explicit knowledge. It is more of an “unspoken understanding” about something, knowledge that is more difficult to write down in a document or a database. An example might be, knowing how to ride a bicycle – you know how to do it, you can do it again and again, but could you write down instructions for someone to learn to ride a bicycle? Tacit knowledge can be difficult to access, as it is often not known to others. Tacit knowledge is considered more valuable because it provides context for people, places, ideas and experiences. It generally requires extensive personal contact and trust to share effectively. stored in the brain of a person. essential requirement for making good decisions. It is highly individualized It is domain of subjective, cognitive, and experiential learning. It is hard to formalized they need to generate new knowledge through personal and group 4 interactions within the organization. Type of knowledge Explicit knowledge is knowledge that can be captured and written down in documents or databases. Examples of explicit knowledge include instruction manuals, written procedures, best practices, lessons learned and research findings. Explicit knowledge can be categorized as either structured or unstructured. Documents, databases, and spreadsheets are examples of structured knowledge, because the data or information in them is organized in a particular way for future retrieval. In contrast, e-mails, images, training courses, and audio and video selections are examples of unstructured knowledge because the information they contain is not referenced for retrieval. It is knowledge that can be readily made available to others and transmitted or shared in the form of systematic and formal languages. it can be codified, documented and archived. 5 Characteristics of Knowledge – It is huge in nature and requires proper structuring. – It may be incomplete and imprecise. – It may keep on changing (dynamic). Mode of knowledge There are four modes of knowledge creation Socialization Externalization Internalization Combination Socialization – is a process of creating common tacit knowledge through shared experiences. individuals share experiences and space at the same time. Through this process common unarticulated beliefs and embodied skills are created and developed 6 Mode of knowledge Externalization is a process of articulating tacit knowledge into such explicit knowledge as concepts and/or diagrams. the process often uses metaphors, analogies, and/or sketches. A good example of externalization is the process of creating a new product concept or developing a new production process. Internalization is a process of embodying explicit knowledge into tacit knowledge or an individual’s know-how or operational knowledge. An excellent example of this is “learning by doing or using.” Explicit knowledge that is available as text, sound, or video facilitates the internalization process. Combination is a process of assembling new and existing explicit knowledge into a systemic knowledge. the best example is a researcher can assemble an array of previously existing explicit knowledge in order to prepare a new set of specifications for a prototype of a new product. Or an engineer can combine available drawings and design specifications to produce a new process design or equipment. 7 How is Knowledge represented? • Construct Knowledge based by telling the agent what it needs to know –add one by one the sentences that represent the domain knowledge using Knowledge based language. • Knowledge is basically represented as “symbol structures” (essentially, complex data structures) representing bits of knowledge (objects, concepts, facts, rules, strategies...)Example: “red” represents color red.“mycar” represents my car. red(mycar) represents the fact that my car is red. Knowledge modeling methods Automatic knowledge modeling methods Manual knowledge modeling methods 8 Knowledge modeling methods Automatic knowledge modeling methods • An automatic knowledge acquisition method that involves using computer software to automatically discover knowledge from a set of data. • The process of using computers to extract knowledge from data is called knowledge discovery – Two reasons for the use of automated knowledge acquisition: • Good knowledge engineers are highly paid and difficult to find • Domain experts are usually busy and sometimes uncooperative 9 Knowledge modeling methods Manual knowledge modeling methods • • • • • • Interview analysis : An explicit, face-to-face knowledge acquisition technique that involves a direct dialog between the expert and the knowledge engineer. Walk-through : In knowledge engineering, a process whereby the expert walks (or talks) the knowledge engineer through the solution to a problem. Unstructured (informal) interview : An informal interview that acquaints a knowledge engineer with an expert’s problemsolving domain. Process tracking : The process of an expert system’s tracing the reasoning process in order to reach a conclusion Protocol analysis :A set of instructions governing the format and control of data in moving from one medium to another Observations: a remark or comment on something that has been noticed. 10 Knowledge Management Definition of Knowledge Management . Knowledge management is essentially about facilitating the processes by which knowledge is created, shared and used in organizations. Knowledge management is a collection of activities, processes and policies, which enable organizations to apply knowledge to improve effectiveness, innovation and quality. It is not about setting up a new department or getting in a new computer system. It is about making small changes to the way everyone in the organization works. Knowledge management is a process that emphasises generating, capturing and sharing information and integrating these into business practices and decision making for greater organizational benefit. Knowledge management is the explicit and systematic management of vital knowledge and its associated processes of creating, gathering, organizing, diffusion, use and exploitation. It requires turning personal knowledge into corporate knowledge that can be widely shared throughout an organization and appropriately applied. 11 Knowledge Management • Knowledge management is the leveraging of collective wisdom to increase responsiveness and innovation. Knowledge is connected. It exists in a collection (collective wisdom) of multiple experiences and perspectives. Knowledge management is a catalyst. It is an action – leveraging. Knowledge is always relevant to environmental conditions, and stimulates action in response to these conditions. Knowledge is applicable in un encountered environments. Information becomes knowledge when it is used to address novel situations for which no direct precedent exists. 12 Knowledge Management initiative Knowledge management initiatives have one of three aims: To make knowledge visible, mainly through maps, yellow pages, and hypertext To develop a knowledge-intensive culture To build a knowledge infrastructure The aim of knowledge management is not necessarily to manage all knowledge, just the knowledge that is most important to the organization. It is about ensuring that people have the knowledge they need, where they need it, when they need it – the right knowledge, in the right place, at the right time. 13 what does knowledge management involve? • Knowledge management is essentially about facilitating the processes by which knowledge is created, shared and used in organizations. It is not about setting up a new department or getting in a new computer system. It is about making small changes to the way everyone in the organization works. There are many ways of looking at knowledge management and different organizations will take different approaches. Generally speaking, creating a knowledge environment usually requires changing organizational values and culture, changing people’s behaviors and work patterns, and providing people with easy access to each other and to relevant information resources. 14 Aspects of Knowledge Management • knowledge management involves the identification and mapping of intellectual assets within an organization. There are two main aspects of knowledge management, namely, information management and people management. information management • Most entrepreneurs and managers are familiar with the term information management. This term is associated with the management of knowledge related to objects that are identified and handled by information systems. • the concepts of IM is to analysis information , planning” developing , and providing additional tools for practitioners. 15 Aspects of Knowledge Management people management :The second aspect of knowledge people management . this involves the management of tacit knowledge that resides inside the heads of people. • In order to effectively manage the people that possess the desired tacit knowledge, it is essential to take into consideration their cultural and social values, attitudes and aspirations, and likes and dislikes. If this can be done successfully, it can lead to the creation of new knowledge that otherwise cannot be accomplished by information management alone. Both aspects of knowledge management embody two immediate concerns: to make organizational knowledge more productive; and to produce benefits that are significantly greater than those envisioned. 16 most important pillar of knowledge management In order to more fully define and understand knowledge management, it is useful to consider knowledge management as having three pillars. These pillars are: management and organization infrastructure people and culture 17 most important pillar of knowledge management management and organization • The first and most important pillar of knowledge management is the commitment at the highest levels of management. • This commitment is absolutely essential to the success of any knowledge management initiative. • It is also essential that managers promote appropriate behaviors among employees by setting the example. • The commitment from top management can come in two ways. Firstly, the managers at the highest levels should serve as role models by sharing and using knowledge themselves. • Secondly, a structure to support knowledge management should be implemented, including financial, technological and human resources. One way is to create a knowledge management department and designate a Chief Knowledge Officer (CKO). This department should be given the clear responsibility for the promotion and implementation of knowledge management, led by the CKO. 18 most important pillar of knowledge management • Another aspect of the knowledge management-organization pillar is the management of the value chain, which is a critical enabler for knowledge management. The concept of value chain arises from the fact that organizations do not exist in isolation. They form links joined together in value chains. In these value chains every organization has customers while at the same time being a customer of other organizations. Every organization has to manage the organizational knowledge relating to its customers and suppliers. Such knowledge is generally referred to as customer knowledge, which must be generated, organized, shared and applied – in other words, managed. The main enabling practice with regard to this type of knowledge is customer relationship management. The management of customer relationship has two main objectives: to acquire customers and to keep customers. 19 most important pillar of knowledge management Infrastructure: All knowledge management systems require a certain level of technology and infrastructure support to be effective. infrastructure is needed in order to better create, organize, share and apply knowledge. In this sense, ICTs are relevant enablers. ICTs Knowledge management solutions that manage both explicit and tacit knowledge must be enabled by a basic communications. • In order to organize content, information and communication technology tools are essential. • The first step in organizing content is the preparation of the taxonomy or knowledge mapping. 20 most important pillar of knowledge management People and culture: People are the bearers of tacit knowledge. And the sharing of tacit knowledge is crucial to the success of knowledge management. For this reason, perturbations in the composition of the workforce can have significant impact on the organization’s performance. Accordingly, the knowledge management process within an organization must take into account not only the processes and material resources but, more importantly, the people by whom knowledge is generated. This is what is known as the “people and culture” enabler in knowledge management. 21 most important pillar of knowledge management • People and culture as an enabler of knowledge management requires three important elements. the redefinition of organizational structure, the corresponding human resource practices, and a reliability of organizational culture. 22 Roles of People in Knowledge Management • KMS developers – The team members who actually develop the system • KMS staff – Enterprise wide KMS require a full-time staff to catalog and manage the knowledge 23 Roles of People in Knowledge Management • Leader (or coordinator)r recognized in the organisation at large as the speaker for this community; organises and co-ordinates the community’s interactions and activities; • Facilitator(s)Facilitates the interactions within the community, e.g. in face-to-face meetings, and steers the agenda of online interactions; • knowledge manager manages the explicit knowledge resources of the community. 24 What is Knowledge management systems (KMS) • A system that facilitates knowledge management by ensuring knowledge flow from the person(s) who know to the person(s) who need to know throughout the organization; knowledge evolves and grows during the process. A Knowledge Management system is one that provides the user with the explicit information required, in exactly the form required, at precisely the time the user needs it.” Or: “A Knowledge Management system is one that connects to all sources of knowledge.” 25 What features do you need in a KM system? Now we are talking technical, in an application sense at least. Basically, any KM system should be a superset of an Enterprise Content Management (ECM) system, able to capture, index and retrieve objects of any type (e.g., images, drawings, voice mail, video, emails). In order to do all the things you are going to ask of it, it must have an array of “standard” features; those features that should be common to any modern ECM application solution. For example: metadata searches full text searches the ability to search across other repositories and sources of knowledge as well as its own database 26 the ability to capture electronic documents and emails The end 27