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Engineering Effective Decision Support Technologies

Book Description

In modern, information-centric business environments, Decision Making Support Systems (DMSS) present a critical consideration for any organization serious about maintaining competitive advantage. Advances in information systems, knowledge management technologies, and other decision support systems necessitate a critical understanding of the latest trends and research. Engineering Effective Decision Support Technologies: New Models and Applications presents a collection of the latest research in DMSS and applies those theoretical considerations to best practices in the field. This reference includes empirical case studies and an analysis of new models and perspectives in knowledge management, promoting discussion of DMSS strategies among managers, researchers, and students of information science.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. Associate Editors
    3. List of Reviewers
  5. Preface
  6. Chapter 1: DSS-CMM
    1. ABSTRACT
    2. INTRODUCTION
    3. PROBLEM IDENTIFICATION AND MOTIVATION
    4. OBJECTIVES FOR A DSS-CMM
    5. DESIGN AND DEVELOPMENT
    6. DEMONSTRATION AND EVALUATION
    7. CONCLUSION
  7. Chapter 2: Using Systems Engineering for the Development of Decision Making Support Systems (DMSS)
    1. ABSTRACT
    2. INTRODUCTION
    3. DEVELOPMENT CONSIDERATIONS
    4. DMSS DEVELOPMENT WITHIN A BUSINESS CONTEXT
    5. SYSTEM DEVELOPMENT METHODOLOGIES
    6. CONCLUSION
  8. Chapter 3: IDSSE-M
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. A REVIEW OF DMSS DEVELOPMENT APPROACHES AND METHODOLOGIES
    4. 3. IDSSE-M DESCRIPTION
    5. 4. IDSSE-M ILLUSTRATION
    6. 5. DISCUSSION ON THE UTILIZATION AND CONTRI BUTIONS OF IDSSE-M
    7. 6. CONCLUSION
    8. APPENDIX: IDSS CASE DESCRIPTION
  9. Chapter 4: Ontology Engineering The “Whats,” “Whys,” and “Hows” of Data Exchange
    1. ABSTRACT
    2. BACKGROUND
    3. CONCLUSION
  10. Chapter 5: Using Social Network Analysis to Support Collective Decision-Making Process
    1. ABSTRACT
    2. INTRODUCTION
    3. STRUCTURING ONLINE DECISION-MAKING DEBATE THROUGH ARGUMENTATION TECHNOLOGY
    4. A WEB-BASED ARGUMENT MAPPING TOOL: COHERE
    5. DISCOURSE NETWORK ANALYSES AND VISUALIZATION: HOW TO SUPPORT ONLINE DISCUSSION GROUPS
    6. CONCEPT NETWORK ANALYSIS AND VISUALIZATION
    7. SOCIAL NETWORK ANALYSIS AND VISUALIZATION
    8. IMPLICATIONS AND NEXT STEPS
  11. Chapter 6: Social Media in DMSS System Development and Management
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. METHODOLOGY
    5. PREVIOUS LITERATURE USING SOCIAL MEDIA AND SYSTEM DEVELOPMENT AND MANAGEMENT
    6. SYSTEM DEVELOPMENT PROJECT HISTORY
    7. PROJECT DOCUMENTATION
    8. CONTINUOUS MONITORING OF SOCIAL MEDIA FOR SYSTEM DESIGN, MANAGEMENT AND DEVELOPMENT
    9. SUMMARY, CONTRIBUTIONS AND ADDITIONAL EXTENSIONS
  12. Chapter 7: Automated Diagnosis through Ontologies and Logical Descriptions
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. STATE OF THE ART
    4. 3. ADONIS: BRIDGING SEMANTICS AND LOGICAL DESCRIPTIONS INTO DIAGNOSIS
    5. 4. EVALUATION
    6. 5. CONCLUSION AND FUTURE WORK
  13. Chapter 8: Discrepancies and Analogies in Artificial Intelligence and Engineering Design Approaches in Addressing Collaborative Decision-Making
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW
    4. 3. COLLABORATIVE DECISION-MAKING IN VEHICLE DEVELOPMENT PROJECTS
    5. 4. CONCEPTUAL MODEL OF COLLABORATIVE DECISION-MAKING
    6. 5. A COOPERATIVE DECISION SUPPORT FRAMEWORK
    7. 6. COMPLEMENTARY STUDY OF THE MODEL AND THE COLLABORATIVE DECISION SUPPORT FRAMEWORK
    8. 7. CONCLUSION
  14. Chapter 9: Decision Support for Crisis Incidents
    1. ABSTRACT
    2. INTRODUCTION
    3. DEFINING CRISIS INCIDENTS
    4. A MODEL FOR DECISION SUPPORT IN CRISIS INCIDENTS
    5. INCIDENT COMMAND SYSTEM CONCEPT
    6. A REVIEW OF DSS USE IN CRISIS INCIDENTS
    7. POSSIBILITIES FOR DSS IN CRISIS INCIDENTS
    8. CONCLUSION
  15. Chapter 10: Visualization-Based Decision Support Systems
    1. ABSTRACT
    2. INTRODUCTION
  16. Chapter 11: Strategic Development of a Decision Making Support System in a Public R&D Center
    1. ABSTRACT
    2. INTRODUCTION
    3. STRATEGIC DEVELOPMENT OF A DECISION SUPPORT SYSTEM IN A PUBLIC R&D CENTER
    4. CONCLUSION
  17. Chapter 12: Understanding Organisational Decision Support Maturity
    1. ABSTRACT
    2. INTRODUCTION
    3. 1. THE PROBLEM WITH SUPPORTING MANAGERIAL DECISION MAKING
    4. 2. MEASURING THE EXTENT OF DECISION SUPPORT PROVIDED
    5. 3. THE RESEARCH APPROACH
    6. 4. PRESENTATION OF CASES AND DISCUSSION OF FINDINGS
    7. 5. CONCLUSION
  18. Chapter 13: Development and Application of a Spreadsheet-Based Spatial Decision Support System (SDSS)
    1. ABSTRACT
    2. INTRODUCTION
    3. DEVELOPMENT OF SPREADSHEET-SDSS EXTENSION
    4. EXAMPLE APPLICATION
    5. CONCLUSION AND FUTURE DIRECTIONS
  19. Chapter 14: Extended TOPSIS with Correlation Coefficient of Triangular Intuitionistic Fuzzy Sets for Multiple Attribute Group Decision Making
    1. ABSTRACT
    2. INTRODUCTION
    3. DECISION SUPPORT SYSTEMS (DSS) AND TECHNIQUES
    4. APPLICATION OF TOPSIS AS A DECISION SUPPORT TECHNIQUE
    5. BASIC CONCEPTS OF INTUITIONISTIC FUZZY SETS (IFSs)
    6. INTUITIONISTIC FUZZY NUMBER AND ITS PROPERTIES
    7. CORRELATION COEFFICIENT OF INTUITIONISTIC FUZZY SETS (IFSs)
    8. MULTIPLE ATTRIBUTE GROUP DECISION MAKING WITH TRIANGULAR INTUITIONISTIC FUZZY NUMBERS
    9. THE EXTENDED TOPSIS ALGORITHM WITH CORRELATION COEFFICIENT OF TIFNs
    10. ILLUSTRATED EXAMPLE
    11. DECISION MAKING WITH GERSTENKORN AND MANKO METHOD
    12. DECISION MAKING WITH ZENG AND LI METHOD
    13. DECISION MAKING WITH GUIWU WEI METHOD
    14. COMPARISON OF THE PROPOSED METHOD WITH OTHER METHODS
    15. DISCUSSION AND IMPLICATION FOR RESEARCH
    16. CONCLUSION
    17. APPENDIX
  20. Chapter 15: Hierarchical Database Model for Querying Economic Network Independence Distribution
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORKS
    4. HIERARCHICAL DATABASE MODEL
    5. METHODOLOGY
    6. IMPLEMENTATION THE SYSTEM
    7. DISCUSSION
    8. CONCLUSION AND FUTURE WORK
  21. Chapter 16: One-Dimensional Cutting Stock Optimization with Usable Leftover
    1. ABSTRACT
    2. INTRODUCTION
    3. PROBLEM DEFINITION
    4. SOLUTION DEVELOPMENT
    5. RESULTS
    6. CONCLUSION
  22. Compilation of References
  23. About the Contributors