Managing Information Systems Seventh Canadian Edition. Laudon, Laudon and Brabston. CHAPTER 11 Managing Knowledge
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1 Managing Information Systems Seventh Canadian Edition Laudon, Laudon and Brabston CHAPTER 11 Managing Knowledge Copyright 2015 Pearson Canada Inc. Copyright 2015 Pearson Canada Inc
2 Important Dimensions of Knowledge Data: Flow of events or transactions captured by organization s systems Information: Data organized into categories of understanding Knowledge: Patterns, rules, and situational knowhow for using information Continued Copyright 2015 Pearson Canada Inc. 11-2
3 Important Dimensions of Knowledge (cont.) Knowledge is an asset of a firm: Tacit and explicit Intangible asset Requires organizational resources Can be a source of competitive advantage Continued Copyright 2015 Pearson Canada Inc. 11-3
4 The Knowledge Management Value Chain Each stage adds value to raw data and information as they are transformed into usable knowledge Knowledge acquisition Knowledge storage Knowledge dissemination Knowledge application Copyright 2015 Pearson Canada Inc. 11-4
5 The knowledge management value chain [INSERT FIGURE 11.1] Copyright 2015 Pearson Canada Inc. 11-5
6 Knowledge Application To provide return on investment, organizational knowledge must become systematic part of management decision making and become situated in decision-support systems New business practices New products and services New markets Copyright 2015 Pearson Canada Inc. 11-6
7 Types of Knowledge Management Systems 1. Enterprise-wide knowledge management systems General-purpose firm-wide efforts to collect, store, distribute, and apply digital content and knowledge 2. Knowledge work systems (KWS) Specialized systems built for engineers, scientists, other knowledge workers charged with discovering and creating new knowledge Continued Copyright 2015 Pearson Canada Inc. 11-7
8 Types of Knowledge Management Systems (cont.) 3. Intelligent techniques Diverse group of techniques such as data mining, case-based reasoning, intelligent agents; used for various goals: discovering knowledge, distilling knowledge, driving decision making Copyright 2015 Pearson Canada Inc. 11-8
9 [INSERT FIGURE 11.2] Copyright 2015 Pearson Canada Inc. 11-9
10 Enterprise-Wide Knowledge Management Systems Knowledge repository: a collection of internal and external knowledge in a single location for management of the organization Structured knowledge systems: formal documents and reports; needs to be accessible Semistructured knowledge systems: for less structured documents, digital assets (e.g. s) Tools for communication and collaboration Copyright 2015 Pearson Canada Inc
11 Enterprise Content Management Systems Must create a classification scheme, a taxonomy for easy retrieval; tagging Copyright 2015 Pearson Canada Inc
12 Knowledge Network Systems Provide online directory of corporate experts in well-defined knowledge domains May systematize solutions developed by experts and store them in knowledge database Best-practices Copyright 2015 Pearson Canada Inc
13 Learning Management Systems Learning Management Systems: Provide tools for management, delivery, tracking, and assessment of various types of employee learning and training Support multiple modes of learning Measure learning effectiveness (identify and quantify impact of employee learning programs) Copyright 2015 Pearson Canada Inc
14 Knowledge Work Systems Systems for knowledge workers to help create new knowledge and integrate that knowledge into business Knowledge workers Researchers, designers, architects, scientists, engineers who create knowledge for the organization Three key roles: 1. Keeping organization current in knowledge 2. Serving as internal consultants regarding their areas of expertise 3. Acting as change agents, evaluating, initiating, and promoting change projects Copyright 2015 Pearson Canada Inc
15 [INSERT FIGURE 11.4] Copyright 2015 Pearson Canada Inc
16 Examples of Knowledge Work Systems, Intelligent Systems CAD (computer-aided design): Automates creation and revision of engineering or architectural designs Virtual reality systems: Software and special hardware to simulate real-life environments Knowledge discovery: identification of patterns in data using techniques such as data mining Intelligent agents: automating tasks like searching for information for e-commerce, supply chaing management (attuned to goals, needs ) Copyright 2015 Pearson Canada Inc
17 Capturing Knowledge: Expert Systems Expert systems: an intelligent technique for capturing tacit knowledge in a very specific and limited domain of human expertise. capture the knowledge of skilled employees in the form of a set of rules in a software system that can be used by others in the organization. Copyright 2015 Pearson Canada Inc
18 how expert systems work: knowledge engineer encodes expertise as rules knowledge base, inference engine forward chaining: begin with information, search rule base for conclusion backward chaining: begin with hypothesis, prove or disprove based on information Copyright 2015 Pearson Canada Inc
19 [INSERT FIGURE 11.5] Copyright 2015 Pearson Canada Inc
20 [INSERT FIGURE 11.6] Copyright 2015 Pearson Canada Inc
21 Organizational Intelligence: Case-Based Reasoning Case base New cases authored if no match Try to match current case to one in the case base Due to similarity, learn actions to take Copyright 2015 Pearson Canada Inc
22 [INSERT FIGURE 11.7] Copyright 2015 Pearson Canada Inc
23 [INSERT FIGURE 11.11] Copyright 2015 Pearson Canada Inc
24 Managing Information Systems Seventh Canadian Edition Laudon, Laudon and Brabston CHAPTER 11 Managing Knowledge Copyright 2015 Pearson Canada Inc
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