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Strategic Data-Based Wisdom in the Big Data Era

Book Description

The ability to uncover, share, and utilize knowledge is one of the most vital components to the success of any organization. While new technologies and techniques of knowledge dissemination are promising, there is still a struggle to derive and circulate meaningful information from large data sets. Strategic Data-Based Wisdom in the Big Data Era combines the latest empirical research findings, best practices, and applicable theoretical frameworks surrounding data analytics and knowledge acquisition. Providing a multi-disciplinary perspective of the subject area, this book is an essential reference source for professionals and researchers working in the field of knowledge management who would like to improve their understanding of the strategic role of data-based wisdom in different types of work communities and environments.

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. Foreword
    1. THE WISDOM OF EVIDENCE AND EXPERIENCE INFORMED DECISIONS
  7. Preface
    1. AN EMERGING VIEW OF STRATEGIC DATA-BASED WISDOM IN THE BIG DATA ERA
    2. SECTION 1: DATA-BASED WISDOM IN ACTION
    3. SECTION 2: THE CHALLENGE OF DATA-BASED WISDOM
    4. SECTION 3: DATA-BASED WISDOM TOOLS, TECHNIQUES, AND TECHNOLOGIES
  8. Acknowledgment
  9. Section 1: Data-Based Wisdom in Action
    1. Chapter 1: From Data to Vision
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. BIG DATA IN THE PUBLIC SECTOR
      5. OPPORTUNITIES AND CHALLENGES
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 2: Strategic Data-Based Optimization of Working Capital Management in Medium-Sized Firms
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND ON THEORIES OF WORKING CAPITAL MANAGEMENT
      4. MAIN FOCUS OF STRATEGIC DATA-BASED OPTIMIZATION OF WORKING CAPITAL FOR MEDIUM-SIZED FIRMS
      5. STATISTICAL HYPOTHESIS TESTING AND FURTHER DISCUSSION OF EXPERIMENTAL RESEARCH RESULTS
      6. FURTHER RESEARCH DIRECTIONS ON WCM OPTIMIZATION FOR PRACTICAL APPLICATION AND CONSEQUENCES OF RESEARCH RESULTS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Moneyball for Knowledge Management
      1. ABSTRACT
      2. INTRODUCTION
      3. CONSIDER THE MEDICAL PROFESSION
      4. BUSINESS ANALYTICS
      5. MATURITY MODELS: THE REALAGEĀ® MONEYBALL FOR KM
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
    4. Chapter 4: Improving Healthcare with Data-Driven Track-and-Trace Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. A TRACK AND TRACE SYSTEM FOR PHARMACEUTICAL SUPPLY CHAINS
      4. A TRACK AND TRACE SYSTEM FOR INDOOR MONITORING
      5. TRACK-AND TRACE SYSTEMS: DATA-RELATED CHALLENGES
      6. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
    5. Chapter 5: Four Eras of CRM Selling
      1. ABSTRACT
      2. INTRODUCTION
      3. SALES 1.0: THE ERA OF PRODUCT TO SOLUTION SELLING (1980-1995)
      4. SALES 1.0: SALES SOFTWARE ERA SUMMARY
      5. SALES 2.0: THE ERA OF CUSTOMER INTIMACY (1995-2010)
      6. SALES 2.0: SALES SOFTWARE ERA
      7. SALES 2.0: SALES SOFTWARE ERA SUMMARY
      8. SALES 3.0: THE ERA OF SOCIAL CRM (2010-2013)
      9. SALES 3.0: SOCIAL CRM SOFTWARE SOLUTIONS
      10. SALES 3.0: SUMMARY
      11. SALES 4.0: THE ERA OF SALES INSIGHTS: THE SCIENCE OF SELLING (2014-2018)
      12. THE SCIENCE OF SELLING: CRACKING THE SALES PERFORMANCE GAPS
      13. SALES 4.0: SALES SOFTWARE ERA SUMMARY
      14. RETHINKING THE PAST: STRIVING FOR SIMPLICITY
      15. LOOKING AHEAD
      16. CONCLUSION
      17. REFERENCES
      18. KEY TERMS AND DEFINITIONS
  10. Section 2: The Challenge of Data-Based Wisdom
    1. Chapter 6: On the Road to Ephesus
      1. ABSTRACT
      2. INTRODUCTION
      3. ON THE ROAD TO DATA-BASED WISDOM
      4. THE IMPORTANCE OF LEADERSHIP IN THE PURSUIT OF DATA-BASED WISDOM
      5. INSIGHT FROM HEALTHCARE PROFESSIONALS
      6. PROPOSED FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
      11. ENDNOTES
    2. Chapter 7: Generational Differences Relative to Data-Based Wisdom
      1. ABSTRACT
      2. INTRODUCTION
      3. TECHNOLOGY: AND EVERYTHING THAT MAKES IT WORK
      4. LEADERSHIP: THE STYLES AND ROLES THEY PLAY
      5. CULTURE: THEN AND NOW
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    3. Chapter 8: Aligning and Valuing Data-Based Wisdom Projects
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ALIGNING DATA-BASED WISDOM
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    4. Chapter 9: Big Data Literacy
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CHALLENGES OF BIG DATA
      4. BIG DATA LITERACY
      5. BARRIERS IN ACQUIRING EXPERTISE IN BIG DATA
      6. BIG DATA LITERACY AND IMPLICATION TO THE SOCIETY
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    5. Chapter 10: Strategic Data-Based Wisdom
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. RE-VISITING THE ARISTOTELIAN THEORY
      5. THE THREE LEVEL MODEL
      6. FURTHER DEVELOPMENTS
      7. CONCLUSION
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
      11. ENDNOTES
  11. Section 3: Data-Based Wisdom Tools, Techniques, and Technologies
    1. Chapter 11: Pattern Recognition for Large-Scale Data Processing
      1. ABSTRACT
      2. INTRODUCTION
      3. LARGE SCALE AND BIG DATA RECOGNITION
      4. PATTERN RECOGNITION
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
    2. Chapter 12: Proposal of Analytical Model for Business Problems Solving in Big Data Environment
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. METHODOLOGY FOR ANALYTICAL BUSINESS PROBLEM SOLVING WITHIN BIG DATA ENVIRONMENT
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
      9. ENDNOTES
    3. Chapter 13: Transferring Data to Wisdom in Project Management
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
    4. Chapter 14: Generating Data by Gamifying Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. FURTHER RESEARCH DIRECTIONS
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
    5. Chapter 15: A Specification Framework for Big Data Initiatives
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. FUTURE PERSPECTIVES
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
  12. Glossary
  13. Compilation of References
  14. About the Contributors