MIS 2000 Class 13 Knowledge Processes & Knowledge Work Systems Updated Feb. 2015 1 of 15.

Slides:



Advertisements
Similar presentations
Modelling with expert systems. Expert systems Modelling with expert systems Coaching modelling with expert systems Advantages and limitations of modelling.
Advertisements

Managing Knowledge in the Digital Firm (II) Soetam Rizky.
MIS 2000 Class 12 Knowledge Processes & Knowledge Work Systems Updated Oct
MIS 2000 Class 2: Basic Concepts Updated January 2014.
1.Data categorization 2.Information 3.Knowledge 4.Wisdom 5.Social understanding Which of the following requires a firm to expend resources to organize.
Class 4 Systems Support to Knowledge Work Asper School of Business Information Age Organizations Part-Time MBA, April 2002 Instructor: Bob Travica.
Chapter 7 MANAGING KNOWLEDGE.
SESSION 10 MANAGING KNOWLEDGE FOR THE DIGITAL FIRM.
1 Pertemuan 19 & 20 Managing Knowledge for the Digital Firm Matakuliah: J0454 / Sistem Informasi Manajemen Tahun: 2006 Versi: 1 / 1.
1 SYS366 Week 1 - Lecture 2 How Businesses Work. 2 Today How Businesses Work What is a System Types of Systems The Role of the Systems Analyst The Programmer/Analyst.
Chapter 11 Managing Knowledge.
Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall Chapter Chapter 1: Introduction to Decision Support Systems Decision Support.
Fundamental System Concepts Asper School of Business University of Manitoba Systems Analysis & Design Instructor: Bob Travica Updated: September 2014.
Managing Knowledge in the Digital Firm
Building Knowledge-Driven DSS and Mining Data
Knowledge Management Solutions
Chapter 11 Managing Knowledge. Dimensions of Knowledge.
Class 6 Data and Business MIS 2000 Updated: September 2012.
CHAPTER 11 Managerial Support Systems. CHAPTER OUTLINE  Managers and Decision Making  Business Intelligence Systems  Data Visualization Technologies.
Chapter 11: Managing Knowledge
MIS 2000 Class 11 Knowledge Processes & Knowledge Work Systems.
Forethought Knowledge is our most important engine of production – Alfred Marshal Knowledge is the key resource of the 21st century Problem today is.
Module 3: Business Information Systems Chapter 11: Knowledge Management.
Expert System Note: Some slides and/or pictures are adapted from Lecture slides / Books of Dr Zafar Alvi. Text Book - Aritificial Intelligence Illuminated.
The Exchange of Retrieval Knowledge about Services between Agents Mirjam Minor Mike Wernicke.
MIS 2000 Chapter 1: Managing the Digital Firm. IS for Management Outline Digital Firm Data, Information, Knowledge Information System (IS) IS User Information.
Human Resource Management Lecture 27 MGT 350. Last Lecture What is change. why do we require change. You have to be comfortable with the change before.
© Farhan Mir 2007 IMS MIS Development BBA-IT (Hons) 6 th Semester ( Decision Support Systems & Knowledge Management Systems ) By: Farhan Mir.
MIS 385/MBA 664 Systems Implementation with DBMS/ Database Management Dave Salisbury ( )
Asper School of Business - MBA Program
1 KNOWLEDGE TRANSFER By Ellen Schwindaman 2 The Power is in Sharing the Knowledge Changing the behavior of knowledge holders is the biggest challenge.
Knowledge Management in Theory and Practice
HOW PROFESSIONALS LEARN AND ACQUIRE EXPERTISE  Model of professionals as learners:  How professionals know  How professionals incorporate knowledge.
C11- Managing Knowledge.
Knowledge Management …basic principles and practices.
Copyright © 2003 Sherif Kamel Issues in Knowledge Management Dr Sherif Kamel The American University in Cairo.
1 Technical & Business Writing (ENG-715) Muhammad Bilal Bashir UIIT, Rawalpindi.
Chapter 5: Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization DECISION SUPPORT SYSTEMS AND BUSINESS.
Andreas Abecker Knowledge Management Research Group From Hypermedia Information Retrieval to Knowledge Management in Enterprises Andreas Abecker, Michael.
Chapter 15: KNOWLEDGE-BASED INFORMATION SYSTEMS. What is Knowledge? Data: Raw facts, e.g., Annual Expenses = $2 million Information: Data given context,
Using Information Technology Knowledge & Knowledge Management Addendum to Class 4 Outline: What Is Knowledge? Types of Knowledge What is knowledge.
National Convention, Kashmir Univ,J & K, India,11-13 May, 2009 Knowledge Management in the Digital Era by Goutam Biswas and Dr. Dibyendu Paul
Chapter 4 Decision Support System & Artificial Intelligence.
MIS 2000 Chapter 15 Knowledge Management. Outline Knowledge Explicit and Tacit Knowledge Knowledge Management Activities Computer-Aided Design/Manufacturing.
Fundamentals of Information Systems, Third Edition1 The Knowledge Base Stores all relevant information, data, rules, cases, and relationships used by the.
Artificial Intelligence, Expert Systems, and Neural Networks Group 10 Cameron Kinard Leaundre Zeno Heath Carley Megan Wiedmaier.
Foundations of Information Systems in Business. System ® System  A system is an interrelated set of business procedures used within one business unit.
6.1 Copyright © 2014 Pearson Education, Inc. publishing as Prentice Hall Managing Knowledge Chapter 11 VIDEO CASES Video Case 1: How IBM’s Watson Became.
Expert Systems. Expert systems Also known as ‘Knowledge-based systems’:  Computer programs that attempt to replicate the performance of a human expert.
EXPERT SYSTEMS or KNOWLEDGE BASED SYSTEMS a. When we wish to encode a rich source of knowledge within the program. and b. The scope of systems.
Knowledge Management in Theory and Practice
Artificial Intelligence: Research and Collaborative Possibilities a presentation by: Dr. Ernest L. McDuffie, Assistant Professor Department of Computer.
KNOWLEDGE MANAGEMENT UNIT II KNOWLEDGE MANAGEMENT AND TECHNOLOGY 1.
Artificial Intelligence, simulation and modelling.
1. IT Infrastructure Amna Riaz007 Tayaba Ashraf008 2.
An Experience Report from the Use of Digital Repositories in Building a New Module Simon McGinnes Trinity College Dublin.
11.1 © 2010 by Prentice Hall 7 Chapter Managing Knowledge and Collaboration.
Decision Support and Business Intelligence Systems (9 th Ed., Prentice Hall) Chapter 12: Artificial Intelligence and Expert Systems.
1 2. Knowledge Management. 2  Structuring of knowledge enables effective and efficient problem solving dynamic learning strategic planning decision making.
Chapter 11 Managing Knowledge.
Fundamentals of Information Systems, Sixth Edition
Organization and Knowledge Management
Knowledge Work Systems
Chapter 11 Managing Knowledge.
Knowledge Work Systems
MANAGING KNOWLEDGE FOR THE DIGITAL FIRM
Knowledge Management Landscape (in US)
KNOWLEDGE MANAGEMENT (KM) Session # 37
KNOWLEDGE MANAGEMENT (KM) Session # 31
Dynamics of Decision Making
Presentation transcript:

MIS 2000 Class 13 Knowledge Processes & Knowledge Work Systems Updated Feb of 15

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 (3M, 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. 3 of 15

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) Manipulate/ process data Interprets documents and analysis to draw information Apply knowledge on solving biz problem Produce biz documents Create analysis, research Clerk ManagerProfessional 4 of 15

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 Knowledge acquisition is incremental Knowledge is never complete, or 100% correct 5 of 15

Explicit Can be communicated Definitions, taxonomies, theories, procedures, cases Tacit Difficult to communicate Experiential, analysis & synthesis skills Mgt. goal to extract it, holders of tacit knowledge may resist Three Knowledge Taxonomies Source view:* Theoretical (science, theories) vs. Experiential knowledge (practical, personal, via doing) Communication view: 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 process keeps repeating. 7 of 15

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

KWS: Document Management System 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

KWS that codifies the expertise of people in the form of if-then rules. 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: Expert knowledge shared with non-experts. User Interface Inference Engine Creates reasoning path by reading K-base and user’s inputs Knowledge Base (K-Base) If-then rules linked to represent expert knowledge More on expert systems... Expert System 10 of 15

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 (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. KWS: Case-Based Reasoning System Mhmmm… an interesting case, indeed! Case Base (descriptions of problems, prob. solving processes, and solutions) Case Base (descriptions of problems, prob. solving processes, and solutions) User Interface User Interface Index 11 of 15

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. ANN with 3 layers of “neurons” Hidden layer strengthens connections between APPLE and COMPUTER. Therefore, the text is about high-tech part of California’s economy and not about agriculture. APPLE COMP- UTER FRUIT APPLE COMP. 12 of 15

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