MIS 2000 Class 15 Knowledge Processes Knowledge Work

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MIS 2000 Class 15 Knowledge Processes & Knowledge Work Systems Updated 2018 1 of

MIS 2000 Class 15 Knowledge Processes & Knowledge Work Systems Updated 2018 1 of 15

Outline • Importance of knowledge • Knowledge worker • Knowledge concept & types •

Outline • Importance of knowledge • Knowledge worker • Knowledge concept & types • Knowledge management process • Knowledge Works Systems (KWS) • Knowledge culture • Summary 2 of 15

Importance of Knowledge • Why do you study? • Some companies thrive on knowledge

Importance of Knowledge • Why do you study? • Some companies thrive on knowledge (3 M, Accenture, Microsoft, Apple). New products materialize new knowledge. • Some successful companies get overrun by competition because they neglected to advance product knowledge. • The same applies to individual professionals. • Knowledge rocks! Without knowledge you wont’ be able to “get” any information (for text: knowledge of language, reading, concepts. . . ). 3 of 15

Knowledge and Occupations • Knowledge worker is a professional that intensely applies (uses) domain

Knowledge and Occupations • Knowledge worker is a professional that intensely applies (uses) domain knowledge at work and/or generates it (analysts, R+D). • In contrast, – clerk mostly processes data (collection, formatting entering in forms or IS, running IS) – manager mostly interprets documents (gets informed) Clerk Manager Apply knowledge on solving biz problem Manipulate/ process data Produce biz documents Professional Interprets documents and analysis to draw information Create analysis, research (pieces of knowledge) 4 of 15

Knowledge • Knowledge refers to understanding what something is, why something is, and how

Knowledge • Knowledge refers to understanding what something is, why something is, and how to do something: - What: concepts, concepts’ relationships, taxonomies - Know-how (procedures): How-to do something, analysis/synthesis, how to generate new knowledge - Why: understanding cause-effect relationships (special relationship) • Knowledge acquisition is incremental • Knowledge is never complete, or 100% correct 5 of 15

Three Knowledge Taxonomies • Source view: * Theoretical (science, theories) vs. Experiential knowledge (practical,

Three Knowledge Taxonomies • Source view: * Theoretical (science, theories) vs. Experiential knowledge (practical, personal, via doing) • Communication view: Tacit Explicit • Can be communicated • Definitions, taxonomies, theories, procedures, cases • Difficult to communicate • Experiential, analysis & synthesis skills • Mgt. goal to extract it, holders of tacit knowledge may resist • Economic view: Human Capital (in people) vs. Structural Capital (in things, including technology) • IS can be used for documenting and/or communicating all forms of knowledge but tacit. * 6 of 15

Knowledge Management Process • A sequence of activities from knowledge generation to discarding. The

Knowledge Management Process • A sequence of activities from knowledge generation to discarding. The process is circular and it keeps repeating. 7 of 15

Knowledge Work Systems (KWS) System Generate Document Management System Case Based Reasoning System (CBRS)

Knowledge Work Systems (KWS) System Generate Document Management System Case Based Reasoning System (CBRS) yes Expert System (ES) Artificial Neural Network System (ANNS) yes Codify & Store Share Utilize yes yes yes Update yes yes The table maps KWS into steps of knowledge management process. 8 of 15

KWS: Document Management System (DMS) = Searchable repository of documents that codify knowledge in

KWS: Document Management System (DMS) = Searchable repository of documents that codify knowledge in a formal way. Similarities with File Sharing System, a type of GSS. DMS is different in knowledge content and in formal codification applied. Used in corporate learning centers, and by individuals and groups in their regular job. DMS is a standard system in consulting firms (e. g. , Accenture). 9 of 15

Expert System • KWS that codifies the expertise of people in the form of

Expert System • KWS that codifies the expertise of people in the form of if-then rules. User Interface Inference Engine Creates reasoning path by reading K-base and user’s inputs Knowledge Base (K-Base) If-then rules linked in decision tress to represent expert knowledge • Used in account auditing, medical diagnosing, troubleshooting of machinery, health care (Medical underwriting system at Blue Cross), financial industry (CLUES system for loan underwriting), oil & mining. • Benefit (main): Expert knowledge shared with non-experts. More on expert systems. . . 10 of 15

KWS: Case-Based Reasoning System User Interface Index Case Base (descriptions of problems, prob. solving

KWS: Case-Based Reasoning System User Interface Index Case Base (descriptions of problems, prob. solving processes, and solutions) Case-Based Reasoning (CBR): Represents knowledge as cases – descriptions of problems with solutions (like in law). CBS systems are used in help desks, conflict resolution, professional problem solving that cannot be reduced to if-then rules, instructional systems, medical diagnosing (teaching how to do something – procedural knowledge). Procedure of using CBR system involves user’s input of keywords and the system’s search for the best fit between the input and documents that may help in solving the user’s problem. New knowledge may also result from using CBR system. Mhmmm… an interesting case, indeed! 11 of 15

Artificial Neural Network (ANN) System • ANN System simulates human brain’s cells (neurons) and

Artificial Neural Network (ANN) System • ANN System simulates human brain’s cells (neurons) and connections. • Used for pattern recognition (text, image, voice). • Connection patterns get created, which allows ANN System to make some inferences. • The inferences are represented in form of graphics, numerical figures, text, etc. Hidden layer strengthens connections between APPLE and COMPUTER. APPLE COMPUTER APPLE COMP. FRUIT Therefore, the text is about high-tech part of California’s economy and not about agriculture. ANN with 3 layers of “neurons” 12 of 15

Organizational Culture and Knowledge culture systematically supports the entire knowledge process. Examples: Accenture, 3

Organizational Culture and Knowledge culture systematically supports the entire knowledge process. Examples: Accenture, 3 M, Microsoft… Beliefs and behaviors related to knowledge at Accenture: o Beliefs & practices on generation & sharing of knowledge: Knowledge should be continually created and shared. o Beliefs on role of knowledge in business: knowledge should contribute directly to profit objectives. o Assumptions about purpose KWS: KWS should enable storing and efficient access to knowledge content, and contribute directly to profitability. 13 of 15

Knowledge Culture • Knowledge culture may be facilitated by teamwork – important in knowledge

Knowledge Culture • Knowledge culture may be facilitated by teamwork – important in knowledge creation and particularly sharing. May help uncovering tacit knowledge. 14 of 15

Summary • Knowledge worker is a professional that intensely applies/generates knowledge at work. •

Summary • Knowledge worker is a professional that intensely applies/generates knowledge at work. • Knowledge refers to understanding what something is, why something is, and how to do something. Develops gradually and is never perfect. • Knowledge kinds: Theoretical & practical; explicit & implicit; memorized & materialized. • Knowledge mgt. process is cyclical and includes generation, codifying/storing, sharing, utilizing, & updating/discarding. • Knowledge work systems (KWS) studied are Artificial Neural Network, Document Management System, Expert System, & Case-Based Reasoning System. They support different phases of knowledge process (slide 7). • Any company should pay attention to managing knowledge. Knowledge culture exists in a company that systematically supports entire knowledge management process (e. g. , Accenture). 15 of 15