1. BCIS 401 Information Systems for Management Knowledge Management Dr. J. Affisco Fall 2001

2. Why Knowledge Management? Knowledge is the property of the individual Successful practices rarely transferable Knowledge is embedded and hard to extract –Large amounts of time spent “reinventing the wheel”

3. Why Knowledge Management? Fortune 500 companies wasted $12 billion in 1999 as employees duplicated one another’s work 90% of 800 North American and European Companies were working on some aspect of knowledge management Ford estimated that in 1997-99 knowledge management initiatives resulted in cost savings or additional revenues of $914 million

4. Why Knowledge Management? Chevron estimates it has saved more than $650 million since 1991 by sharing best practices among mangers in charge of energy use at its oil refineries Texas Instruments reports savings of more than $1 billion by disseminating best practices throughout its 13 semiconductor plants By late 1999 1/3 of top 1,000 largest U.S. companies had begun knowledge mgt. initiatives; by 2003 more than half will have done so.

5. BCIS 4015 Types of Knowledge Explicit Knowledge –Easily collected and organized –Transferred through digital means Tacit Knowledge –Personal context-specific –Process knowledge –Hard to formalize and communicate

6. Knowledge Management Strategies Sets forth criteria for choosing –What knowledge a firm plans to pursue –How firm will capture and share it Generally determined through strategic audit –What sorts of knowledge are critical to support business positioning –Who needs to have what information? –When do they need to know it?

7. BCIS 4017 Knowledge Management Processes Generating Organizing Developing Distributing

8. BCIS 4018 Generating Identifying the desired content Getting people to contribute ideas –On-line discussions –Submitting deliverables that have emerged from other work

9. BCIS 4019 Generating Buy or Rent Research and Development Shared Problem Solving Adaptation Communities of Practice

10. BCIS 40110 Organizing Organizing collected data so it can be represented and retrieved electronically Knowledge sharing systems or tools –Knowledge bases –Navigational devices –User interfaces –Taxonomies

11. BCIS 40111 Organizing - Knowledge Bases Unfiltered –Archive documents directly –Many-to-many communication without intervention by others Filtered – Content screened, distilled, and approved for use by recognized experts –Material continually refreshed to maintain its currency

12. BCIS 40112 Developing Selection and further refinement of material to increase its value for users Subject matter experts review work done by others such as editors Results include –Final content/form of expert material –Knowledge objects

13. Distributing How people get access to material User friendliness Encouraging use and reuse of knowledge Types of systems –Push - Sends large masses of information out to users –Pull - Users call on the knowledge base to draw material out –Targeted Push - Proactively deliver material that is context sensitive

14. BCIS 40114 Types of Decision Support Decision Support Systems Expert Systems/Knowledge Based DSS Group Decision Support Systems Executive Support Systems

15. Decision Support Systems

16. BCIS 40116 Phases of Decision Making Process Intelligence Design Choice

17. BCIS 40117 Intelligence Searching the environment for conditions calling for decisions Raw data are obtained, processed, & examined for clues that may identify problems.

18. BCIS 40118 Design Inventing, developing, & analyzing possible courses of action. This involves processes to –Understand the problem –Generate solutions –Test solutions for feasibility

19. BCIS 40119 Choice Selecting a particular course of action from those available A choice is made and implemented

20. Levels of Org Decision Making Information Characteristics Task VariableStrat. Plan.Mgt. ControlOperational Control AccuracyLow High Level of DetailAggregate Detailed Time HorizonFuture Present Frequency of Use Infrequent Frequent Source External Internal Scope of Info. Wide Narrow Type of Info Qualitative Quantitative Age of Info. Older Current

21. A MIS/DSS Framework

22. Specific DSS DSS Generator DSS Tools Three DSS Levels

23. Specific DSS DSS Generator DSS Tools Manager (user) DSS Builder Toolsmith Intermediary Technical Supporter Relating DSS Levels and Roles

24. Data Base Model Base DBMS MBMS DGMS User DSS TaskEnvironment DSS Components

25. DSS Development Process Builder and User agree on small significant sub- problem. Design and develop an initial system to support decision making required by sub-problem. Use the system for a short period of time. Evaluate the system. Modify the system. Incrementally expand the system. Systems Development Process Analysis - What application is to be supported? Design - What is the best way to support application? Construction - Build the designed system. Implementation - Apply the system.

26. Expert Systems

27. BCIS 40127 Definition Expert Systems are special-purpose computer programs which use knowledge and reasoning to perform complex tasks in a specific problem domain at a level of performance usually associated with an expert in the domain.

28. BCIS 40128 Purpose Originally designed to replace domain experts. Today viewed as Knowledge-based Decision Support Systems –System supports Managerial Decision Making with the capability to process knowledge in addition to quantitative data.

29. BCIS 40129 Components of ES Knowledge Base Inference Engine User Interface

30. Expert Systems Architecture

31. BCIS 40131 Knowledge Base Repository of domain-specific knowledge Knowledge needs to be represented and employed in a form that can be used for reasoning. Knowledge structures –Facts –Rules –Frames

32. BCIS 40132 Facts General statements of truth that may be either temporary or permanent knowledge

33. Rules Knowledge structure of the form “if-then” The “if statement” represents a premise. The “then statement” represents a conclusion. As rules are processed, if the premise is true then the conclusion indicates some action to be taken. A rule is proved when the premise of the rule matches known facts.

34. BCIS 40134 Frames A way of packaging knowledge about one object. Are composed of slots in which data or characteristics associated with specific objects are stored. Frames are organized in a hierarchy which allows for sharing of knowledge through the property of heredity.

35. BCIS 40135 Rules vs Frames Frames are especially efficient for packaging knowledge and handling the storage and retrieval of that knowledge. Rules work best at making deductions.

36. Inference Engine Its task is to process the domain knowledge contained in the knowledge base to arrive at a solution to the problem. Inference engine combines facts and rules through an inference process to arrive at conclusions. Inference techniques –Forward chaining –Backward chaining

37. Forward Chaining Begins with known facts and the rule set and attempts to deduce new facts which may eventually lead to the deduction of the goal. Inference engine cycles through the rules until one is found whose premises matches a fact. This rule is then proved or fired, and the conclusion is added to the fact base. Process continues until the implication of the conclusions reached are sufficient to provide a solution.

38. BCIS 40138 Backward Chaining Inference processes work backwards from the goal. Inference takes the goal as a hypothesis and then seeks to prove a series of subgoals working backward from the goal. This is done recursively until all subgoals that are required for the goal’s existence are proven.

39. Group Decision Support Systems

40. BCIS 40140 GROUP DECISION-SUPPORT SYSTEM (GDSS ) INTERACTIVE COMPUTER-BASED SYSTEM FACILITATES SOLUTION OF UNSTRUCTURED PROBLEMS BY DECISION MAKERS WORKING AS GROUP *

41. BCIS 40141 TOOLS OF GDSS ELECTRONIC QUESTIONNAIRES ELECTRONIC BRAINSTORMING IDEA ORGANIZERS QUESTIONNAIRE TOOLS TOOLS FOR VOTING, SETTING PRIORITIES *

42. BCIS 40142 TOOLS OF GDSS STAKEHOLDER IDENTIFICATION & ANALYSIS TOOLS POLICY FORMATION TOOLS GROUP DICTIONARIES *

43. BCIS 40143 ELECTRONIC MEETING SYSTEM (EMS) COLLABORATIVE GDSS USES INFORMATION TECHNOLOGY TO MAKE GROUP MEETINGS MORE PRODUCTIVE FACILITATES COMMUNICATION DECISION MAKING *

44. BCIS 40144 IMPROVED PRE-PLANNING INCREASED PARTICIPATION OPEN, COLLABORATIVE ATMOSPHERE IDEA GENERATION FREE OF CRITICISM EVALUATION OBJECTIVITY IDEA ORGANIZATION & EVALUATION * HOW GDSS ENHANCED DECISION MAKING

45. BCIS 40145 SETTING PRIORITIES & DECISION MAKING DOCUMENTATION OF MEETINGS ACCESS TO EXTERNAL INFORMATION PRESERVATION OF ORGANIZATIONAL MEMORY * HOW GDSS ENHANCED DECISION MAKING

46. An Illustration of the Use of GDSS

47. BCIS 40147 The Problem Plant Location –In practice, a cross-functional team of senior executives typically makes plant location decisions. –In arriving at this decision the team looks at a number of conflicting variables and factors, both quantitative and qualitative.

48. BCIS 40148 The Objective To provide training for executives in plant location strategic decision making so as to improve their performance when faced with such a decision.

49. BCIS 40149 The Scenario A general scenario describing the industry, competitive environment, government and legal environment, and position of various other stakeholders is provided prior to the group support sessions. The exercise proceeds in two phases

50. Phase I The executive group is broken into three role playing groups –Corporate management –State and local government –Environmental stakeholders A more specific scenario in terms of the firm’s products and processes is distributed with instructions to read it from the point of view of their role playing group.

51. Phase I - Individual GSS Sessions Electronic brainstorming is used to help the participants develop ideas about the plant location problem from their respective role’s point of view. Idea organizer is used to help crystallize the ideas already generated into a set of critical issues for each of the three constituencies. Vote then is used by to prioritize the critical issues previously developed.

52. Phase I - Individual GSS Sessions The group is given information on three potential location sites and are then asked to evaluate the sites based on the critical issues they developed. The alternative evaluation tool is used to help rank order the competing location sites. However, the ranking is not revealed to the participants at this point. A transcript of the sessions is used to help debrief the groups on the decision making process as well as the decision content.

53. Phase II - Metagroup GSS Session The sets of critical issues identified, in the earlier sessions, by the groups representing the three constituencies are discussed. The stakeholder identification tool helps the group to analyze the impact of policies relating to the critical issues on the stakeholders. The policy formulation tool is used to facilitate the arrival at a consensus on which issues remain critical to the group.

54. Phase II - Metagroup GSS Session Vote may be used once again to arrive at a final prioritization. Having achieved this understanding of their position on the critical plant location factors, the metagroup is now given the information on the same three sites as during the individual group sessions. Using the appropriate tools, the metagroup is asked, for a second time, to rank order the alternatives. This time they are given the final ranking.

55. Phase II - Metagroup GSS Session In addition, at this time they are given the final ranking which resulted from each of the individual group decision sessions. A comparison of these rankings is used to fuel the debriefing discussion. As part of the debriefing we can compare the processes and results of the individual groups with those of the metagroup. A discussion of expectations versus reality is generally useful.