You are previewing The Best Thinking in Business Analytics from the Decision Sciences Institute.
O'Reilly logo
The Best Thinking in Business Analytics from the Decision Sciences Institute

Book Description

Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean new insights, and increase both the speed and quality of decision making. In The Best Thinking and Practices in Business Analytics from the Decision Sciences Institute, DSI has compiled award-winning and award-nominated contributions from its most recent conferences: papers that illuminate exceptionally high-value applications and research on analytics for decision-making. These papers have appeared in no other DSI collection. Explore them here, and you’ll discover powerful new opportunities for competitive advantage through analytics. For all business, academic, and organizational professionals concerned with the science of more effective decision-making; and for undergraduate students, graduate students, and certification candidates in all related fields.

Table of Contents

  1. About This eBook
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. Contents
  6. Foreword
  7. Acknowledgments
  8. About the Author
    1. Merrill Warkentin, Volume Editor
    2. The Decision Sciences Institute, Sponsor
  9. 1. Predictive Modeling of Customer Response Behavior in Direct Marketing
    1. Abstract
    2. Introduction
    3. Preliminaries
    4. Delivery Time
    5. Customer Response Model
    6. Delivery Time Models
    7. Numerical Example
    8. Concluding Remarks
    9. References
    10. About the Authors
  10. 2. Enhancing Data and Decision Quality with Statistical Process Control
    1. Abstract
    2. Introduction
    3. Understanding Data Quality
      1. Intrinsic Dimensions and Measures
    4. Statistical Monitoring of Data Quality Using Control Charts
    5. An Example of Controlling Data Quality with Statistical Process Control
    6. Propositions for Research and Practice
    7. Conclusion
    8. References
    9. About the Authors
  11. 3. De-Bias Techniques for Better Decision Quality
    1. Abstract
    2. Introduction
    3. Theoretical Background and Hypothesis Development
    4. Hypothesis Development
    5. Research Method
      1. Participants
      2. Measurements
      3. Procedure
      4. Results
      5. CRT Result
    6. Hypotheses Testing
    7. Discussion of Results
      1. Version 4: Order of Information
      2. Version 7: Warning
      3. Version 8: Providing Domain Knowledge
      4. Version 9: Text Formula
    8. Limitations/Implications/Contributions
    9. Future Research
    10. Conclusions
    11. References
    12. About the Authors
    13. Appendix A: Cognitive Reflection Test (CRT)
    14. Appendix B: Base Rate Fallacy
  12. 4. Are Gold Prices Moved by Oil and the S&P?
    1. Abstract
    2. Introduction
    3. Data and Methodologies
    4. Results
    5. Summary
    6. References
    7. About the Author
  13. 5. Improving Credit Scoring Accuracy via Sample Selection
    1. Abstract
    2. Introduction
    3. Credit Scoring Using a Neural Network Ensemble
    4. Experimental Results
    5. Conclusion
    6. References
    7. About the Author
  14. 6. Contrasting Approaches for Forecasting the S&P 500
    1. Abstract
    2. Introduction
    3. Datasets and Calculations
    4. Random Walk Simulations and Forecasts
    5. Pattern Forecasts
    6. Neural Network Forecasts
    7. Decision Tree Forecasts
    8. Comparison of Methodologies and Summary
    9. References
    10. About the Authors
  15. 7. Technical Efficiency of Airlines in India
    1. Abstract
    2. Introduction
    3. Literature Review
    4. Research Methodology
    5. Sample and Dataset
    6. Results
    7. Conclusions
    8. References
    9. About the Authors
    10. Appendix
      1. Input Efficiency Profiling DEA Model
  16. 8. One-Way Car Sharing: A New Paradigm
    1. Abstract
    2. Introduction
    3. Literature Review, Propositions, and Theoretical Model Development
      1. Service-Dominant Logic (S-D Logic)
      2. Car Sharing
      3. Smart Technology
      4. Public Knowledge/Awareness
      5. Public/Private Partnerships (PPP)
      6. Consumer Preferences
      7. Vehicle Inventory
      8. Vehicle Utilization
      9. Carpooling
    4. Methods and Data
    5. Discussion and Conclusions
    6. Future Directions and Limitations
    7. About the Authors
    8. References
  17. 9. Identifying the Optimal Facility Location Using Fuzzy AHP
    1. Abstract
    2. Introduction
    3. Literature Review
    4. Triangular Fuzzy Numbers
      1. The Steps of Fuzzy AHP
      2. Step 1: Computing the Fuzzy Synthetic Extend Value (Si) with Respect to the ith Object
      3. Step 2: Calculating the Degree of Possibility
      4. Step 3: Computing the Degree of Possibility for a Convex Fuzzy Number
      5. Step 4: Computing the Normalized Weight Vector
    5. Research Method
      1. Company Profile
      2. Method
    6. Data Analysis
      1. Evaluation of Criteria
      2. The Values of the Fuzzy Synthetic Extent of All Criteria
      3. Proximity to the Market: Fuzzy Synthetic Extent Values
      4. Proximity to Suppliers: Fuzzy Synthetic Extent Values
      5. Proximity to Workforce: Fuzzy Synthetic Extent Values
      6. Proximity to Investment Cost: Fuzzy Synthetic Extent Values
      7. Proximity to Growth Potential: Fuzzy Synthetic Extent Values
    7. Discussion and Conclusions
    8. References
    9. About the Authors
  18. 10. Business Analytics Application in Supplier and Carrier Selection
    1. Abstract
    2. Introduction
    3. Problem Statement
    4. Agent-Based Simulation Methodology in Distribution and Supply Chain Management
      1. Agents
      2. Multi-Agent System (MAS)
      3. Agent-Based Simulation and Its Applications
    5. Model Development
      1. Model Assumptions
      2. Agents, Multi-Agent System, and Modeling Framework
      3. Auction Mechanism
    6. Results and Discussion
    7. Conclusions and Future Research
    8. References
    9. About the Authors
  19. 11. Coordinating the Supply Chain Using Service-Level and Profit-Sharing Contracts
    1. Abstract
    2. Introduction
    3. Literature Review
    4. Model Description
      1. Assumption and Notation
      2. No Coordination Among Retailers, Distributor, and Manufacturer
      3. Coordination Among Retailers, Distributor, and Manufacturer Using a Service-Level Contract
      4. Coordination Among Retailers, Distributor, and Manufacturer Using a Profit-Sharing Contract
      5. Coordination Among Retailers, Distributor, and Manufacturer Using Both a Service-Level Contract and a Profit-Sharing Contract
    5. Numerical Study
      1. Numerical Study Under No Coordination and Under Coordination Using a Service-Level Contract
      2. Numerical Study Under Coordination Using a Profit-Sharing Contract
      3. Numerical Study Under Coordination Using Both a Service-Level and a Profit-Sharing Contract
    6. Conclusions and Extensions
      1. Conclusions
      2. Managerial Implications
      3. Future Extensions
    7. References
    8. About the Author
  20. 12. An Evaluation of Croston’s Method under Non-Stationary Demand Behavior
    1. Abstract
    2. Introduction
    3. Literature Review
    4. Croston’s Method and Variations
    5. Simulation Study Description and Results
    6. Conclusions and Discussion
    7. References
    8. About the Authors
  21. 13. Supplier Selection and Order Allocation in Closed-Loop Supply Chain Systems
    1. Abstract
    2. Introduction
    3. Literature Review
    4. Network Configuration in Closed-Loop Supply Chains
    5. Decision Models for Supplier Evaluation and Selection
      1. Analytic Hierarchy Process
      2. Fuzzy Sets Theory
      3. Mathematical Programming Methods
    6. Contributions of This Research
    7. Problem Formulation
    8. Multi-Objective Optimization Model
      1. Objective Functions
      2. Functional and Operational Constraints
    9. Solution Methodology
    10. Computational Results
      1. Data Setting
      2. Ideal Solutions of the Objective Functions
      3. Pareto-Optimal Solution and Trade-offs
    11. Conclusions and Future Research
    12. References
    13. About the Author
  22. 14. Simulating a Hospital Preadmission Testing Center to Improve Patient Service
    1. Abstract
    2. Analytics in Healthcare
    3. Preadmission Testing Process Description
    4. Problem Description
    5. Literature Review
    6. The Simulation Model
    7. Analysis and Results
    8. Acknowledgment
    9. References
    10. About the Authors
  23. Index