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Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics

Book Description

Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
  6. Preface
    1. REFERENCES
  7. Chapter 1: Predictive Analytics for Infrastructure Performance
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND: THE TRANSPORTATION PERFORMANCE INDEX
    4. PREDICTIVE SCENARIO ANALYSIS
    5. RESULTS
    6. DISCUSSION
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. KEY TERMS AND DEFINITIONS
  8. Chapter 2: Structural Equation Modeling Algorithm and Its Application in Business Analytics
    1. ABSTRACT
    2. INTRODUCTION
    3. RESEARCH METHODS
    4. QUALITATIVE METHODS OF RESEARCH
    5. QUANTITATIVE METHODS OF RESEARCH
    6. LATENT VARIABLE METHOD OF DATA ANALYSIS
    7. STRUCTURAL EQUATION MODELING (SEM)
    8. TWO ROUND SEM APPROACH
    9. AGGREGATION OF MEASUREMENT MODEL IN STRUCTURAL MODEL
    10. THE SEM PROCESS
    11. SPECIFICATION OF THE MODEL
    12. DATA COLLECTION
    13. IDENTIFICATION OF THE MODEL
    14. ESTIMATION METHOD
    15. TESTING AND EVALUATING THE MODEL
    16. MODEL MODIFICATION (RE-SPECIFICATION)
    17. REPORT WRITING
    18. CONCLUSION
    19. ACKNOWLEDGMENT
    20. REFERENCES
    21. KEY TERMS AND DEFINITIONS
  9. Chapter 3: An Integrated Fuzzy VIKOR Method for Performance Management in Healthcare
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
    4. PRELIMINARIES
    5. THE VIKOR METHOD
    6. PROPOSED METHOD
    7. A CASE STUDY
    8. CONCLUSION AND RECOMMENDATIONS
    9. ACKNOWLEDGMENT
    10. REFERENCES
    11. KEY TERMS AND DEFINITIONS
  10. Chapter 4: An Analytical Algorithm for Delphi Method for Consensus Building and Organizational Productivity
    1. ABSTRACT
    2. INTRODUCTION
    3. DELPHI PROCESS
    4. DELPHI QUESTIONNAIRE
    5. PILOT STUDY
    6. RELIABILITY AND VALIDITY
    7. PANEL COMPOSITION
    8. PANEL SIZE
    9. PANEL MEMBER QUALIFICATION
    10. DELPHI ROUND
    11. CRITERIA FOR ATTAINING CONSENSUS
    12. CONCLUSION
    13. ACKNOWLEDGMENT
    14. REFERENCES
    15. KEY TERMS AND DEFINITIONS
  11. Chapter 5: New Product Development and Manufacturability Techniques and Analytics
    1. ABSTRACT
    2. INTRODUCTION
    3. METHODS
    4. CASE STUDY
    5. CONCLUSION
    6. FURTURE RESEARCH DIRECTIONS
    7. ACKNOWLEDGMENT
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITIONS
  12. Chapter 6: Transformation of CRM and Supply Chain Management Techniques in a New Venture
    1. ABSTRACT
    2. INTRODUCTION
    3. METHODS
    4. CASE DISCUSSION
    5. CONCLUSION
    6. FURTURE RESEARCH DIRECTIONS
    7. ACKNOWLEDGMENT
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITIONS
  13. Chapter 7: A Hybrid AHP-ELECTRE I Multicriteria Model for Performance Assessment and Team Selection
    1. ABSTRACT
    2. INTRODUCTION
    3. A DETAILED DESCRIPTION OF AHP
    4. A BRIEF OVERVIEW OF ELECTRE I
    5. THE MODEL DESCRIPTION
    6. COMPUTATIONAL STUDY AND DATA ANALYSIS
    7. SENSITIVITY ANALYSIS
    8. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
    11. KEY WORDS AND DEFINITIONS
  14. Chapter 8: Predictive Modeling as guide for Health Informatics Deployment
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. THE LUMIR SYSTEM
    4. 3. ISSUES CONNECTED TO THE ADOPTION OF THE LUMIR SYSTEM
    5. 4. THE ENROLLMENT PLAN FOR THE TRIAL STAGE PERIOD
    6. 5. THE MATHEMATICAL MODEL OF ADOPTION IN THE TRIAL STAGE PERIOD
    7. 6. DISCUSSION
    8. 7. CONCLUSION
    9. REFERENCES
  15. Chapter 9: Analytics Overuse in Advertising and Promotion Budget Forecasting
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE OVERVIEW
    4. THEORY
    5. METHOD AND MATERIALS
    6. STUDY 1
    7. RESULTS
    8. STUDY 2
    9. RESULTS
    10. SENSITIVITY ANALYSES
    11. DISCUSSION
    12. LIMITATIONS
    13. CONCLUSION
    14. REFERENCES
    15. KEY TERMS AND DEFINITIONS
  16. Chapter 10: Mastering Business Process Management and Business Intelligence in Global Business
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MASTERING BUSINESS PROCESS MANAGEMENT AND BUSINESS INTELLIGENCE IN GLOBAL BUSINESS
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  17. Chapter 11: Information and Communication Technology Impact on Supply Chain Integration, Flexibility, and Performance
    1. ABSTRACT
    2. INTRODUCTION
    3. METHODOLOGY
    4. RESULTS
    5. CONCLUSION
    6. FUTURE RESEARCH DIRECTIONS
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  18. Chapter 12: A Causal Analytic Model for Labour Productivity Assessment
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. THE FIVE DRIVERS OF PRODUCTIVITY
    4. 3. DATA
    5. 4. A MODEL OF REGIONAL PRODUCTIVITY DRIVERS
    6. 5. RESULTS
    7. 6. THE CASE OF DELHI: NCR
    8. 7. CONCLUSION
    9. REFERENCES
    10. KEY TERMS AND DEFINITIONS
    11. APPENDIX
  19. Chapter 13: Effective Tools for Improving Employee Feedback during Organizational Change
    1. ABSTRACT
    2. INTRODUCTION
    3. THEORETICAL BACKGROUND
    4. RESEARCH
    5. DISCUSSION
    6. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
    10. ENDNOTES
  20. Chapter 14: A Conceptual and Pragmatic Review of Regression Analysis for Predictive Analytics
    1. ABSTRACT
    2. INTRODUCTION
    3. (I) SIMPLE (BIVARIATE) REGRESSION ANALYSIS
    4. (II) MULTIPLE LINEAR REGRESSION ANALYSIS
    5. CONCLUSION
    6. REFERENCES
    7. KEY TERMS AND DEFINITIONS
  21. Chapter 15: Student Retention Performance Using Absorbing Markov Chains
    1. ABSTRACT
    2. INTRODUCTION
    3. MATHEMATICAL MODELS
    4. RETENTION MODELS
    5. FORECASTS
    6. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
  22. Chapter 16: An Analytical Employee Performance Evaluation Approach in Office Automation and Information Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THE PROPOSED APPROACH
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
  23. Compilation of References
  24. About the Contributors