By Temtim Assefa School of Information Science Addis Ababa University 2014 Course Objective Understand knowledge management solutions and Foundations Able to explain knowledge management infrastructure Explain knowledge management mechanisms Understand knowledge management technologies Explain knowledge management process Foundation of Knowledge Management The term Knowledge management started to be used in 1980s However activities were practiced before that by Librarians, philosophers, teachers, and writers Denning (2000) relates how from “time immemorial, the elder, the traditional healer and the midwife in the village have been the living repositories of distilled experience in the life of the community” 3 Foundation… Some form of narrative repository has been in existence for a long time, People used a variety of ways of sharing knowledge in order to build on earlier experience, eliminate costly redundancies, and avoid making at least the same mistakes again. For example, knowledge sharing often took the form of town meetings, workshops, seminars, and mentoring sessions. The primary “technology” used to transfer knowledge consisted of the people themselves. Migration of different peoples across continents also promote knowledge sharing 4 Foundation…… Drucker (early 1960s) was the first to coin the term knowledge worker Senge (1990) focused on the “learning organization” as one that can learn from past experiences stored in corporate memory systems. Barton-Leonard (1995) documented the case of Chapparal Steel as a knowledge management success story. Nonaka and Takeuchi (1995) studied how knowledge is produced, used, and diffused within organizations and how such knowledge contributed to the diffusion of innovation 5 Foundation…… A number of people, perceiving the value of measuring intellectual assets, recognized the growing importance of organizational knowledge as a competitive asset (Sveiby, 1996; Norton and Kaplan, 1996; APQC, 1996; and Edvinsson and Malone, 1997). 6 Foundation…… Main contributors 1. Management theorists who have contributed significantly to the evolution of KM include Peter Drucker, Peter Senge, Ikujiro Nonaka, Hirotaka Takeuchi, and Thomas Stewart. 2. Development of modern technology offer another perspective on the history of KM industralization beginning in 1800, transportation technologies in 1850, communications in 1900, computerization in the 1950s, virtualization in the early 1980s, and the early efforts at personalization and profiling technologies in 2000 7 8 Foundation… … With the advent ICT, KM has come to mean the systematic, deliberate leveraging of knowledge assets. Technologies enable valuable knowledge to be “remembered” via organizational learning and corporate memory, and they also enable valuable knowledge to be widely disseminated to all stakeholder KMS = Technology + Organizational mechanisms Mechanisms include incentives, leadership, work practices, standards, policies, etc 9 KM Solutions Knowledge management can be defined as performing the activities involved in discovering, capturing, sharing, and applying knowledge so as to enhance, in a cost-effective fashion, the impact of knowledge on the unit’s goal achievement. The term knowledge resources refers not only to the knowledge currently possessed by the individual or the organization but also to the knowledge that can potentially be obtained (at some cost if necessary) from other individuals or organizations KM Solutions Knowledge management solutions refer to the variety of ways in which KM can be facilitated KM processes KM systems KM mechanisms and technologies KM infrastructure KM Systems Knowledge management systems are the integration of technologies and mechanisms that are developed to support KM processes An Overview of KM Solutions KM Processes KM Systems KM Mechanisms and Technologies KM Infrastructure Knowledge Management Processes Creation •Combination •Socialization Capture •Externalization •Internalization Sharing •Socialization •Exchange Application •Direction •Routines Knowledge creation Knowledge creation is the transfer, combination, and conversion of the different types of knowledge, as users practice, interact, and learn. Practice, action, and interaction- is the driving force in the creation of new knowledge It is the core activity in competitive intelligence Organization create an environment that facilitate interaction and dialog among employees to promote knowledge creation Knowledge Creation It has two main sub processes 1. Combination- refers to integration of existing knowledge to create more complex and new knowledge 2. Socialization – direct interaction between people. When knowledge is shared, it is amplified Knowledge Capture Knowledge capture is defined as the process of retrieving either explicit or tacit knowledge that resides within people, artifacts, or organizational entities. It includes activities like interviewing, observation, personal diary, documentation of best practices, etc Knowledge captured might reside outside the organizational boundaries, including consultants, competitors, customers, suppliers, and prior employers of the organization’s new employees Externalization and Internalization Externalization involves converting tacit knowledge into explicit forms such as words, concepts, visuals, or figurative language Internalization is the conversion of explicit knowledge into tacit knowledge. It represents the traditional notion of “learning” Knowledge Sharing Knowledge sharing is the process through which explicit or tacit knowledge is communicated to other individuals It may take place across individuals, groups, departments or organizations It involves externalization of personal knowledge and internalization of explicit knowledge It also uses communication channels The quality of communication channels has an effect on effectiveness of the knowledge sharing process Knowledge Application Creation of new value from knowledge by solving problems or creating new products and services This involves solving problems in a novel way, creating new products and services, etc Examples include workflow automation so that new employees can quickly learn existing knowledge Development of different intelligent agents It has two main components Direction & Routines Direction refers to the process through which individuals possessing the knowledge direct the action of another individual without transferring to that person the knowledge underlying the direction Routines involve the utilization of knowledge embedded in procedures, rules, and norms that guide future behavior Routine is created to avoid reinvention by storing best practices in procedure manual and software tools KM Technologies Technologies that support KM include artificial intelligence (AI) technologies encompassing 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 encompassing best practices databases and lessons learned systems Knowledge Management Systems KM systems utilize a variety of KM mechanisms and technologies to support the KM processes Knowledge Management Discovery Systems Knowledge Management Capture Systems Knowledge Management Sharing Systems Knowledge Application Systems Knowledge Discovery 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 Support two KM sub-processes combination, enabling the discovery of new explicit knowledge socialization, enabling the discovery of new tacit knowledge Knowledge Capture Systems Knowledge capture systems support the process of retrieving either explicit or tacit knowledge that resides within people, artifacts, or organizational entities Technologies can also support knowledge capture systems by facilitating externalization and internalization Knowledge Sharing Systems Knowledge sharing systems support the process through which explicit or implicit knowledge is communicated to other individuals Discussion groups or chat groups facilitate knowledge sharing by enabling individuals to explain their knowledge to the rest of the group Knowledge Application Systems Knowledge application systems support the process through which some individuals utilize knowledge possessed by other individuals without actually acquiring, or learning, that knowledge Mechanisms and technologies support knowledge application systems by facilitating routines and direction. KM Technologies for Routine and directions Technologies supporting direction include experts’ knowledge embedded in expert systems and decision support systems, as well as troubleshooting systems based on the use of technologies like case-based reasoning Technologies that facilitate routines are expert systems, enterprise resource planning systems, and traditional management information systems KM Mechanisms KM mechanisms are organizational or structural means used to promote KM Examples of KM mechanisms include learning by doing, on-the-job training, learning by observation, face-to-face meetings, standard work practices, policies, etc Mechanisms for Direction and Routines Mechanisms facilitating direction include traditional hierarchical relationships in organizations, help desks, and support centers Mechanisms supporting routines include organizational policies, work practices, and standards KM Processes, Mechanisms, and Technologies KM Infrastructure Organizational Culture Organizational Structure Communities of Practice Information Technology Infrastructure Common Knowledge Organizational Culture Organizational culture reflects the norms and beliefs that guide the behavior of the organization’s members Attributes of an enabling organizational culture include understanding of the value of KM practices, management support for KM at all levels, incentives that reward knowledge sharing, and encouragement of interaction for the creation and sharing of knowledge Organizational Structure Hierarchical structure of the organization affects the people with whom individuals frequently interact, and to or from whom they are consequently likely to transfer knowledge Organizational structures can facilitate KM through communities of practice Organization structures can facilitate KM through specialized structures and roles that specifically support KM KM Infrastructure The IT infrastructure includes data processing, storage, and communication technologies and systems One way of systematically viewing the IT infrastructure is to consider the capabilities it provides in four important aspects: Reach Depth Richness Aggregation Common Knowledge Common knowledge also refers to the organization’s cumulative experiences in comprehending a category of knowledge and activities, and the organizing principles that support communication and coordination It is also called organizational memory Common knowledge helps enhance the value of an individual expert’s knowledge by integrating it with the knowledge of others Physical Environment Physical environment includes the design of buildings and the separation between them; the location, size, and type of offices; the type, number, and nature of meeting rooms A 1998 study found that most employees thought they gained most of their knowledge related to work from informal conversations around water coolers or over meals instead of formal training or manuals KM Infrastructure Overview of KM Solutions Knowledge Discovery Knowledge Capture Knowledge Sharing Knowledge Application KM Processes Combination Socialization KM Systems Knowledge Discovery Systems KM Mechanisms KM Infrastructure Internalization Externalization Knowledge Capture Systems Analogies and metaphors Brainstorming retreats On-the-job training Face-to-face meetings Apprenticeships Employee rotation Learning by observation …. Organization Culture Organization Structure Exchange Direction Knowledge Sharing Systems Knowledge Application Systems Decision support systems Web-based discussion groups Repositories of best practices Artificial intelligence systems Case-based reasoning Groupware Web pages … IT Infrastructure Common Knowledge Routines KM Technologies Physical Environment Limitation in KM implementation Enterprise invested in KM-relevant technology Intranets Groupware Data warehouses Data mining Enterprises forgot the non-technical work Aligning knowledge to business goals Mapping knowledge content Creating networks of knowledge users Changing culture and defining KM role Conclusions Described the key aspects of knowledge management Provided a working definition of knowledge management Examined knowledge management solutions at four levels KM processes KM systems KM mechanisms and technologies KM infrastructure Review Questions What is KM What is KM mechanisms What are the components of KMS infrastructure Describe KM cycles? What is the implication of KM cycles for knowledge management? Explain the difference between routine and directives? What is the limitation in the KM implementation
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