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Ubiquitous Developments in Knowledge Management: Integrations and Trends

Book Description

Ubiquitous Developments in Knowledge Management: Integrations and Trends depicts new technologies, approaches, issues, solutions, and cases that can help an organization implement a knowledge management initiative or provide a knowledge base for the practitioner/academic researcher. This foundational reference contributes to existing knowledge management literature by providing new insight into the continual evolution of the discipline in modern organizations.

Table of Contents

  1. Copyright
  2. Editorial Advisory Board
  3. Preface: Why Knowledge Management?
    1. INTRODUCTION
    2. THE NEED FOR KNOWLEDGE MANAGEMENT
      1. The Stories
        1. Loss of Critical Knowledge
        2. Loss of Critical Knowledge: The United States Space Program
        3. Storage Media
        4. Some Recommendations for Storage Issues
        5. Using Knowledge Correctly
    3. CONCLUSION
    4. REFERENCES
  4. 1. Do Organizational Memory and Information Technology Interact to Affect Organizational Information Needs and Provision?
    1. ABSTRACT
    2. INTRODUCTION
      1. Organizational Memory
      2. Declarative Memory: The Know What
      3. Procedural Memory: The Know How
      4. Judgmental Memory: The Know Why
      5. Organizational Memory and IT
      6. Setting
      7. Data Collection
      8. The Measures
      9. Organizational Memory
      10. Amount of Information Needs and Provision
      11. Degree of IT Adoption
      12. Analyses
      13. Results
    3. CONCLUSION
      1. Limitations of the Study
      2. Suggestions for Future Research
    4. REFERENCES
  5. 2. Managing Knowledge in Organizational Memory Using Topic Maps1
    1. ABSTRACT
    2. INTRODUCTION
    3. ORGANIZATIONAL MEMORY AND KNOWLEDGE GENERATION
      1. Topic Maps
    4. MODEL
      1. Overview
      2. Object Views
        1. Local Interface Views
      3. Topic Map
      4. Data Types
      5. Data Sources
      6. Internal Object Data Store
      7. User Interface Controller and Topic Map Framework
      8. Request Processor
    5. IMPLEMENTATION
    6. CONCLUSION AND FUTURE CONSIDERATIONS
    7. REFERENCES
    8. ENDNOTE
  6. 3. Virtual Communities of Practice: Knowledge Retrieval, Contextualization and Establishment of Weak Trust in Multinational Corporations
    1. ABSTRACT
    2. INTRODUCTION
    3. THE KNOWLEDGE RETRIEVAL PROCESS
    4. COMMUNITIES OF PRACTICE
    5. VIRTUAL COMMUNITIES OF PRACTICE
    6. VIRTUAL COMMUNITIES OF PRACTICE AND KNOWLEDGE RETRIEVAL
    7. CONCLUSION
    8. REFERENCES
  7. 4. Organizational Culture for Knowledge Management Systems: A Study of Corporate Users
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
      1. Knowledge Management Systems
      2. Organizational Culture
      3. Technology Acceptance
      4. Attributes of the Acceptance and Use of Technology
    4. RESEARCH HYPOTHESES
      1. Organizational Culture's Impact on Perceived Usefulness
      2. Organizational Culture's Impact on Perceived Ease of Use
      3. Organizational Culture's Impact on Perceived Behavioral Control
      4. Organizational Culture's Impact on Subjective Norms
    5. METHODOLOGY
      1. Data Collection
      2. Psychometric Measures
    6. DISCUSSION
    7. IMPLICATIONS AND CONCLUSION
    8. REFERENCES
    9. ENDNOTE
  8. 5. Understanding the Composition of Knowledge Management Capability
    1. ABSTRACT
    2. INTRODUCTION
    3. KNOWLEDGE CAPABILITIES
      1. Expertise
      2. Lessons Learned
      3. Knowledge Documents
      4. Data
      5. Policies & Procedures
    4. CHARACTERISTICS OF KNOWLEDGE CAPABILITIES
      1. The Knowledge Life Cycle
      2. Knowledge Assets as Organizational Resources
      3. Data/Information/Knowledge
      4. Tacit/Implicit/Explicit Knowledge
    5. VALIDATION OF KNOWLEDGE CAPABILITIES
    6. KNOWLEDGE CAPABILITIES AND PERFORMANCE
    7. DISCUSSION
    8. CONCLUSION
    9. CURRENT AND FUTURE RESEARCH
    10. REFERENCES
  9. 6. Work Unit's Knowledge Processing Style: An Empirical Examination of its Determinants
    1. ABSTRACT
    2. INTRODUCTION
    3. RESEARCH MODEL AND HYPOTHESES
      1. Knowledge Processing (KP) Style
      2. Research Hypotheses
        1. Task
        2. Organizational Culture
        3. Technology
    4. RESEARCH METHODOLOGY
      1. Sample Characteristics
      2. Measurement of Research Variables
      3. Reliability and Validity
      4. Hypotheses Testing
    5. DISCUSSIONS
      1. Limitations
    6. CONCLUSION AND IMPLICATIONS
    7. REFERENCES
    8. ENDNOTE
  10. 7. Aligning a KM Strategy and Developing KM Capabilities: Towards Taxonomies and Frameworks
    1. ABSTRACT
    2. INTRODUCTION
    3. ALIGNMENT IN THE CONTEXT OF PERFORMANCE: BUSINESS STRATEGY AND KM STRATEGY
    4. THE RESOURCE-BASED VIEW OF FIRM'S COMPETITIVE ADVANTAGE
    5. TAXONOMY AND FRAMEWORK OF THE ALIGNMENT OF BUSINESSES STRATEGIES WITH KNOWLEDGE MANAGEMENT STRATEGIES
    6. A CONCEPTUAL HIERARCHY FOR ACTIONS BY PRINCIPAL ACTORS IN THE STRATEGIC ALIGNMENT OF KM AND BUSINESS
    7. KNOWLEDGE-BASED VIEW OF FIRM'S RESOURCES AND CAPABILITIES
      1. Organizational Knowledge as Strategic Assets
    8. CONCLUSION
    9. REFERENCES
  11. 8. Knowledge Organization with Mashups: A Mashup Experiment in an Enterprise Environment
    1. ABSTRACT
    2. INTRODUCTION
    3. KNOWLEDGE AND KNOWLEDGE ORGANIZATION
    4. WHAT IS A MASHUP?
      1. Content and Data Sources
      2. Mashup Algorithm or Process
      3. Presentation Platform
    5. MASHUPS ON THE WEB
    6. OUR EXPERIMENT
      1. Motivation
      2. Technical Reports and the Technical Report RSS Feed
      3. The Enterprise Directory
      4. Linking it All Together
      5. Our Mashup: The Technical Report Contextual Viewer
      6. Keyword Tag Cloud
    7. OUR FINDINGS
      1. Gather Data from Different Sources
      2. Identify the Join Point or the Overlap Piece for Mashing Up
      3. Process Data and Generate Mashed Content
      4. Present Generated Mashed Content
    8. FUTURE DEVELOPMENT
    9. REFERENCES
  12. 9. Knowledge Sharing Model of 24–Hour Knowledge Factory
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. CHARACTERISTICS OF THE 24-HOUR KNOWLEDGE FACTORY
    4. 3. USE OF CASE BASED REASONING APPROACH
    5. 4. ECK SHARING MODEL BASED ON DECISION EVOLUTION
    6. 5. ENTERPRISE KNOWLEDGE STRUCTURE
    7. 6. ECK SHARING MODELING AND SERVICE MODEL BASED ON GRID COMPUTING
    8. 7. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
  13. 10. Challenges in Developing a Knowledge Management Strategy: A Case Study of the Air Force Materiel Command1
    1. ABSTRACT
    2. INTRODUCTION
    3. CASE BACKGROUND
    4. RESEARCH METHOD
    5. FINDINGS
      1. Leadership Support and Understanding
      2. Conflict with the IT Organization
      3. Funding
      4. System Usage Concerns
      5. Technological Challenges
      6. Outsourcing KM
    6. LESSONS LEARNED
    7. IMPLICATIONS AND CONCLUSION
    8. REFERENCES
    9. ENDNOTE
  14. 11. Impacts from Using Knowledge: A Longitudinal Study from a Nuclear Power Plant
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. METHODOLOGY
    5. ORGANIZATIONAL BACKGROUND
    6. BASIC KM FINDINGS
    7. KEY KM FINDINGS
      1. Engineer Productivity
      2. Organizational Productivity
      3. Approach #1
      4. Approach #2
      5. Approach #3
    8. CHALLENGES FACING THE ORGANIZATION
    9. CONCLUSION AND LESSONS LEARNED
    10. REFERENCES
  15. 12. Developing an Integrated Model for Understanding Knowledge Management Practices in an Arab Country: Evidence from a Case Study
    1. ABSTRACT
    2. INTRODUCTION
    3. THE IMPORTANCE OF KNOWLEDGE
    4. KM MODELS
    5. KNOWLEDGE ENVIRONMENT IN THE ARAB REGION
    6. RESEARCH OBJECTIVES
    7. THE RESEARCH MODEL
    8. THE CASE METHODOLOGY
    9. CASE FINDINGS
    10. KM DRIVERS
      1. Market Liberalization
      2. ICTC Advancements
      3. Customers' Preferences
    11. KM PROCESSES
      1. Sourcing Knowledge
        1. Internal Sources
        2. External Sources
      2. Composing Knowledge
        1. Organizational Transformation (OT)
        2. Customer Relationship Management (CRM)
      3. Sharing Knowledge
      4. Utilizing Knowledge
        1. KM Enablers
          1. KM Buying Behavior
          2. Convergence of Business and Technology
          3. Source-Data Quality
          4. Project Championship
          5. Process-Based Structure
          6. Sharing Culture
    12. A PROFILE OF KM IN THE ARAB REGION
    13. A PROPOSED KM MODEL IN THE ARAB CONTEXT
    14. DISCUSSION
    15. CONCLUSION
    16. REFERENCES
  16. 13. Applying Sense–Making Methodology to Design Knowledge Management Practices
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW: KM PHILOSOPHIES AND THE ASSOCIATED PRACTICES
    4. AN OVERVIEW OF SENSE-MAKING METHODOLOGY
    5. WHY SENSE-MAKING METHODOLOGY?
    6. THE BUSINESS CONTEXT
    7. PUTTING SENSE-MAKING METHODOLOGY INTO PRACTICE
    8. CASE STUDY 1: CONDUCTING USER STUDY TO UNDERSTAND USERS' NEEDS
    9. CASE STUDY 2: DESIGNING WEB-BASED KM SYSTEM
    10. CASE STUDY 3: FACILITATING DIALOGUE TO NURTURE COMMUNITIES OF PRACTICE (COP)
    11. CONCLUSION
    12. REFERENCES
  17. 14. Using Soft Systems Methodology to Reveal Socio–Technical Barriers to Knowledge Sharing and Management: A Case Study from the UK National Health Service
    1. ABSTRACT
    2. INTRODUCTION
    3. THE RESEARCH METHODOLOGY
    4. APPLYING SSM TO THE CASE STUDY PROBLEM
    5. CASE STUDY: THE RESEARCH SETTING
      1. Findings from SSM Stage 1: The Problem Situation Unstructured
      2. Types of Knowledge Required by Service Desk Agents
      3. Use of Knowledge Sources
      4. The Role of the Service Desk Agent
      5. Sources of Knowledge
      6. Recording and Sharing of Knowledge
      7. Improving Knowledge Sharing
      8. SSM Stage 2: Graphical Representation of the Problem Situation
      9. SSM Stage 3: Forming a Root Definition
      10. SSM Stage 6: Proposed Actions
    6. CONCLUSION
    7. REFERENCES
    8. APPENDIX 1: ONLINE QUESTIONNAIRE
  18. 15. The Role of Situated Embodied Interaction in the Banking Customer Knowledge Creation Process
    1. ABSTRACT
    2. INTRODUCTION
    3. THEORETICAL FRAMEWORK
      1. Social Embeddedness Theory
      2. Knowledge Creation
      3. Locally Specific Information
    4. METHOD
      1. Data Generation Procedure
      2. Data Analysis
    5. FINDINGS
      1. The KM Systems and Its Role in Knowledge Creation
      2. Embodying the Context
      3. Employees' Local Knowledge and Networks
      4. Face-to-Face Interaction with Local Community Citizens
      5. Face-to-Face Interactions with Local Customers
    6. DISCUSSION & CONCLUSION
    7. LIMITATIONS AND FURTHER RESEARCH
    8. REFERENCES
  19. 16. Qualitative Pre-Processing for Semantic Search of Unstructured Knowledge
    1. ABSTRACT
    2. INTRODUCTION
    3. QUALITATIVE SPATIAL REASONING
      1. Region Connection Calculus
    4. PROPOSED ARCHITECTURE
      1. Qualitative Pre-Processor
        1. Example 1 (Table 3)
      2. Search Architecture
    5. EXPERIMENTAL RESULTS
      1. Further Illustrative Examples
        1. Example 2
        2. Example 3
    6. CONCLUSION
    7. REFERENCES
    8. ENDNOTES
  20. 17. Measuring the Dimensions of Tacit and Explicit Knowledge: Enhancing Knowledge Management
    1. ABSTRACT
    2. INTRODUCTION
    3. THE DIMENSIONS
      1. Conscious Awareness
      2. Expressibility
      3. Demonstrability
      4. Formal or Informal Application
    4. THE METHOD AND MEASURE
    5. DISCUSSION
    6. LIMITATIONS, IMPLICATIONS AND FUTURE RESEARCH
    7. CONCLUSION
    8. REFERENCES
    9. APPENDIX
  21. 18. Introducing Elasticity for Spatial Knowledge Management
    1. ABSTRACT
    2. INTRODUCTION
    3. INCONSISTENCIES BETWEEN PAIRS OF NEIGHBORING OBJECTS
      1. Detecting Neighboring Objects
      2. Detecting the Type of Relation between Neighboring Objects
      3. Determining Rules that Govern Relations between Neighboring Objects
      4. Detecting Inconsistent Pair-Wise Relations (IPR)
      5. Examples of IPRs
      6. Graphical Representation of an IPR
    4. ELASTICITY ANALYSIS OF IPRs
      1. The Elasticity Property of Objects
      2. Characteristics of Elasticity
        1. Minimal Elasticity
        2. Negative Elasticity
        3. Maximal Elasticity
        4. Full Elasticity
        5. Partial Elasticity
      3. Example of Elasticity
    5. FORMATION OF ELASTICITY-BASED IPR GROUPINGS (EIGS)
      1. Interpretation of IPRs in Terms of Elasticity
        1. Unbalanced IPR
        2. Balanced IPR
      2. Defining EIGs
      3. Example of an EIG
      4. Detecting EIGs
    6. EXAMPLE RESULTS
      1. Source Data Sets (SDS)
      2. Experimental Data Sets (EDS)
    7. DISCUSSION
    8. CONCLUSION
    9. REFERENCES
  22. 19. A Specialized Evaluation and Comparison of Sample Data Mining Software
    1. ABSTRACT
    2. INTRODUCTION
    3. DATA MINING SOFTWARE
      1. Data Mining Software Alternatives
      2. Decision Tool
    4. SAMPLE PRODUCTS
      1. CART by Salford Systems
      2. SPSS: Clementine
      3. Enterprise Miner by SAS
      4. Ghost Miner by Fujitsu
      5. Insightful: Insightful Miner
      6. IBM: Intelligent Miner
      7. Megaputer: Poly Analyst
      8. Oracle: Oracle Data Mining
      9. SQL Server 2005
    5. COMPARISON
      1. Criteria Revisited
      2. Evaluation Model
    6. PROCEDURE OF EXPERT CHOICE
      1. Overall Results
    7. SCENARIO ANALYSIS
    8. OTHER CASES
      1. Online Company/E-Commerce
      2. Educational Institutions
    9. CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
  23. 20. Operationalizing Knowledge Sharing for Informers1
    1. ABSTRACT
    2. INTRODUCTION
    3. OPERATIONALIZATIONS OF KNOWLEDGE SHARING
      1. Knowledge Sharing and Behavioral Categories
      2. Previously Used Approaches to Measuring Knowledge
        1. Intention to Share Knowledge
        2. Norms or Beliefs about Knowledge Sharing
        3. Actual Knowledge Sharing
    4. METHODS
      1. Sample
      2. Analysis
    5. RESULTS
      1. What is Knowledge Sharing?
    6. DISCUSSION
    7. CONCLUSION
    8. REFERENCES
    9. ENDNOTES
  24. 21. Sustainable Communities for Knowledge Management Systems in the New Technological Era
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
      1. Knowledge Management and Knowledge Management Systems
      2. Knowledge Management Success
      3. Communities of Practice
    4. RESEARCH METHODOLOGY AND ANALYSIS
      1. Method
      2. Design Recommendations
    5. DISCUSSION AND FUTURE RESEARCH
    6. REFERENCES
  25. 22. Risk Management: Strengthening Knowledge Management
    1. ABSTRACT
    2. INTRODUCTION
    3. KNOWLEDGE MANAGEMENT STRATEGIES
      1. Acknowledging Risks: Obstacles to KM Strategy Implementation
    4. RISK MANAGEMENT THROUGH KM GOVERNANCE
    5. RESEARCH DESIGN
      1. Research Methodology
    6. RESEARCH FINDINGS: XYZ CONSULTING
      1. KM at XYZ Consulting
        1. Prior Systems: Cultural Risks
        2. Prior Systems: Structural Risks
      2. Risk Management Outcomes from KM Governance Implementation: XYZ Consulting
    7. RESEARCH FINDINGS: ABC EXPLORATION AND DRILLING
      1. KM at ABC Exploration and Drilling
        1. Prior Systems: Cultural Risks
        2. Prior Systems: Structural Risks
      2. Risk Management Outcomes from KM Governance Implementation: ABC Exploration and Drilling
    8. CONCLUSION AND FUTURE RESEARCH
    9. REFERENCES
  26. 23. Managing Knowledge with Technology: Current Trends in Local Government
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW ON ICT IN KM
    4. RESEARCH METHOD
      1. Research Design and Instrument
      2. Subjects and Procedure
    5. RESULTS
      1. Types of ICT Used in KM
      2. Roles of ICT in KM
      3. Stages of KM Development
    6. DISCUSSION
      1. Main Findings
      2. Implications for Practice and Research
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. APPENDIX: KNOWLEDGE MANAGEMENT SURVEY (EXTRACT)
      1. Survey Questionnaire
      2. Demographics
      3. Knowledge Management Technologies
      4. Comments and Suggestions
  27. 24. Video Issues for Knowledge Management
    1. ABSTRACT
    2. INTRODUCTION
    3. RISK AND VIDEO CONTENT
    4. CONTENT LIABILITY
    5. VIDEO SEARCH TECHNOLOGY
    6. VIDEO AND KNOWLEDGE TRANSFER
    7. VIDEO AND STORYTELLING
    8. VIDEO, CULTURE, AND SENSEMAKING
    9. CONCLUSION: OPPORTUNITIES FOR RESEARCH
    10. REFERENCES
  28. Compilation of References
  29. About the Contributors