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Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems

Book Description

Many factors can impact large-scale enterprise management systems, and maintaining these systems can be a complicated and challenging process. Therefore, businesses can benefit from an assortment of models and management styles to track and collect data for processes. Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems supplies a wide array of research on the intersections of business modeling, information systems, and optimization techniques. These various business models and structuring methods are proposed to provide ideas, methods, and points of view for managers, practitioners, entrepreneurs, and researchers on how to improve business processes.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  5. Preface
  6. Chapter 1: Web-Based Services and Future Business Models
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW
    4. 3. TOWARD NEW BUSINESS MODELS
    5. 4. CONCLUSION
  7. Chapter 2: IP Layer Client Puzzles
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. CLIENT PUZZLE PROTOCOL
    4. 3. PROTOCOL DESIGN AND IMPLEMENTATION IN IP LAYER
    5. 4. CHAINED PUZZLE ANALYSIS
    6. 5. CONCLUSION
    7. 6. FUTURE WORK
  8. Chapter 3: Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. LITERATURE REVIEW FOR FUZZY AHP
    4. 3. FUZZY ANALYTIC HIERARCHY PROCESS (F-AHP)
    5. 4. CASE STUDY: E-MARKETPLACE SELECTION WITH FUZZY AHP
    6. 5. CONCLUSION
  9. Chapter 4: A SWOT-FAHP Application for a Textile Firm in Turkey
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SWOT AND FAHP METHODOLOGY
    4. 3. CASE STUDY
    5. 4. CONCLUSION
  10. Chapter 5: Informational Data Mining
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. INFORMATION SYSTEMS OPTIMIZATION
    4. 3. DATA MINING PROCESS
    5. 4. DATA MINING TECHNIQUES IN INFORMATION SYSTEMS
    6. 5. CONCLUSION AND FUTURE RESEARCH
  11. Chapter 6: A Modeling Approach to Building Wireless Sensors
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SENSOR NODE REQUIREMENTS
    4. 3. PROJECT METHODOLOGY
    5. 4. CONCLUSION
  12. Chapter 7: Database Systems in Biology
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BIOLOGICAL DATABASES DESIGN PRINCIPLES
    4. 3. STATE-OF-THE-ART BIOLOGICAL DATABASES
    5. 4. CONCLUSION
  13. Chapter 8: An Effective Approach for Evaluating Usability of Web Sites
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. USABILITY EVALUATION
    4. 3. REVIEW OF PREVIOUS STUDIES FOR FUZZY AHP
    5. 4. APPLICATION
    6. 5. CONCLUSION
  14. Chapter 9: A Review on Applied Data Mining Techniques to Stock Market Prediction
    1. ABSTRACT
    2. INTRODUCTION
    3. DATA MINING TECHNIQUES
    4. APPLICATIONS IN STOCK MARKETS
    5. CONCLUSION
  15. Chapter 10: A BPM Framework for NPD Process Knowledge Management
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RESEARCH METHOD
    4. 3. RESEARCH FINDINGS
    5. 4. THE BPM FRAMEWORK FOR NPD PROCESS KNOWLEDGE MANAGEMENT
    6. 5. CONCLUSION
  16. Chapter 11: Conventional and Non-Conventional Data Modeling
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DATA MODELING PROCESS
    4. 3. CONCEPTUAL DATA MODELING
    5. 4. RELATIONAL MODELING
    6. 5. OBJECT-RELATIONAL MODELING
    7. 6. CONCLUSION
  17. Chapter 12: Sustainable Waste Management System and Reverse Logistic Network Design in Plastic Industry
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SUSTAINABLE WASTE MANAGEMENT
    4. 3. REVERSE AND GREEN LOGISTICS
    5. 4. FUZZY GOAL PROGRAMMING (FGP)
    6. 5. PLASTIC RECYCLING INDUSTRY
    7. 6. REVERSE AND GREEN LOGISTICS NETWORK DESIGN MODEL FOR PLASTIC RECYCLING INDUSTRY UNDER FUZZY ENVIRONMENT
    8. 7. CONCLUSION
    9. APPENDIX 1
    10. APPENDIX 2
  18. Related References
  19. Compilation of References
  20. About the Contributors