Data Analytics for Strategic Decisions (Hardcover, 1)

Part I. Fundamentals of data-driven decision-making?Chapter 1. Introduction to data-driven decision-making. Chapter 2. Data in the digital business environment.?Part II. Analytics and Quantitative Fundamentals.?Chapter 3. Fundamentals of Business Data Analytics. Chapter 4. Statistics applied to business decision-making.?Part III. Business Intelligence and Analytical Technologies.?Chapter 5. Business Intelligence and Data Visualisation. Chapter 6. Data technologies and analytics platforms.?Part IV. Advanced analytics and artificial intelligence.?Chapter 7. Predictive analytics and business models. Chapter 8. Artificial intelligence applied to business.?Part V. Business Applications and Digital Transformation.?Chapter 9. Data Analytics in Marketing, Operations and Finance. Chapter 10. Ethics, privacy and data governance. Chapter 11. Data-driven digital transformation.?Part VI. Future outlook and emerging trends.?Chapter 12. The future of business analytics?

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Data Analytics for Strategic Decisions (Paperback, 1)

Part I. Fundamentals of data-driven decision-making?Chapter 1. Introduction to data-driven decision-making. Chapter 2. Data in the digital business environment.?Part II. Analytics and Quantitative Fundamentals.?Chapter 3. Fundamentals of Business Data Analytics. Chapter 4. Statistics applied to business decision-making.?Part III. Business Intelligence and Analytical Technologies.?Chapter 5. Business Intelligence and Data Visualisation. Chapter 6. Data technologies and analytics platforms.?Part IV. Advanced analytics and artificial intelligence.?Chapter 7. Predictive analytics and business models. Chapter 8. Artificial intelligence applied to business.?Part V. Business Applications and Digital Transformation.?Chapter 9. Data Analytics in Marketing, Operations and Finance. Chapter 10. Ethics, privacy and data governance. Chapter 11. Data-driven digital transformation.?Part VI. Future outlook and emerging trends.?Chapter 12. The future of business analytics?

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Sustainable Operations and Supply Chain Management (Paperback, 1)

1. Triple Bottom Line??2. Circular Economy??3. Decarbonization of Operations??4. Life Cycle Assessment??5. Supply Chain??6. Green Logistics??7. Transportation Problem to Minimize Emissions??8. Transshipment Problem??9. Travelling Salesman Problem??10. Inventory Management as a Means for Sustainable Operations??11. Just in Time: Manufacturing as a Means for Reduction in Emissions??12. Lean Manufacturing??13. Six Sigma??14. Scheduling ? A Means of Emission Reduction??15. Queuing Simulation as a Tool for Sustainable Operation at Toll Gate and Industrial Systems??16. Sustainable Maintenance Management? ? References

Sustainable Operations and Supply Chain Management (Hardcover, 1)

1. Triple Bottom Line??2. Circular Economy??3. Decarbonization of Operations??4. Life Cycle Assessment??5. Supply Chain??6. Green Logistics??7. Transportation Problem to Minimize Emissions??8. Transshipment Problem??9. Travelling Salesman Problem??10. Inventory Management as a Means for Sustainable Operations??11. Just in Time: Manufacturing as a Means for Reduction in Emissions??12. Lean Manufacturing??13. Six Sigma??14. Scheduling ? A Means of Emission Reduction??15. Queuing Simulation as a Tool for Sustainable Operation at Toll Gate and Industrial Systems??16. Sustainable Maintenance Management? ? References

Perspectives on Group Decision and Negotiation: Theory, Technology, and Practice: 26th International Conference on Group Decision and Negotiation, Gdn (Paperback)

The Panoramic Leader: How Great Leaders See Differently (Hardcover)

Systematic Worlds: A Qualitative Systems Theory of Strategy, Viability, and Complex Dynamics (Hardcover)

Strategic HR Analytics: Optimizing Organizational Performance Through Data-Driven Insights (Hardcover)

Boost (Audio CD)

Boost (MP3 CD)

Crew Resource Management Training : Competence, Cognition, and Systems for Airline Pilots (Hardcover, 2 ed)

1. Introduction.? 2. Systems and Ecosystems.? 3. How Humans Engage with the World.? 4. Doing Normal Work ? Processes at Level 1.? 5. Error as Performance Feedback.? 6. Acting in the Public Domain ? Collaboration to Achieve Operational Goals.? 7. Communication.? 8. Coping: Fatigue, Stress and Emotion.? 9. Level 3: Behaviour in the Workplace.? 10. Level 4: Shaping the Industry.? 11. Individuals in an Engineered World ? CRM Revisited.??

Disaster Management and Business Continuity for Animal Research Programs (Paperback, 1)

About the Editors.?Preface.?List of Contributors.?List of Reviewers.?Section I: The Foundations of Disaster Planning and Business Continuity.?Chapter 1. Introduction ? A History of Compelling Events Contributing to the Evolution of Disaster Planning for Animal Care and Use Program.?Chapter 2. Regulations, Oversight & Accreditation.?Chapter 3. Setting the Stage: Emergency Management Terminology.?Chapter 4. The National Incident Management System and the Incident Command System.?Section II: Planning for a Disaster.?Chapter 5. Developing Written Disaster Plans.?Chapter 6. Facility and Resource Preparation.?Chapter 7. Developing A Business Continuity Plan.?Chapter 8. Training: Principles and Practices.?Section III: Implementing the Plan.?Chapter 9. Hazards and Safety of Individuals Caring for or Using Animals.?Chapter 10. Hazards and the Safety and Care of Animals.?Chapter 11. Design and Construction of Animal Research Facilities: Planning for and Recovering from a Disaster.?Chapter 12. Managing Specialized Facilities.?Chapter 13. Implementing A Business Continuity Plan.?Chapter 14. Managing the Mental Well-Being of Personnel.?Chapter 15. Communicating with the Media and the Public.?Section IV: Practical Applications.?Chapter 16. Scenarios.?Section V: Looking to the Future.?Chapter 17. Forecasting Future Directions and Challenges.?Index

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Disaster Management and Business Continuity for Animal Research Programs (Hardcover, 1)

About the Editors.?Preface.?List of Contributors.?List of Reviewers.?Section I: The Foundations of Disaster Planning and Business Continuity.?Chapter 1. Introduction ? A History of Compelling Events Contributing to the Evolution of Disaster Planning for Animal Care and Use Program.?Chapter 2. Regulations, Oversight & Accreditation.?Chapter 3. Setting the Stage: Emergency Management Terminology.?Chapter 4. The National Incident Management System and the Incident Command System.?Section II: Planning for a Disaster.?Chapter 5. Developing Written Disaster Plans.?Chapter 6. Facility and Resource Preparation.?Chapter 7. Developing A Business Continuity Plan.?Chapter 8. Training: Principles and Practices.?Section III: Implementing the Plan.?Chapter 9. Hazards and Safety of Individuals Caring for or Using Animals.?Chapter 10. Hazards and the Safety and Care of Animals.?Chapter 11. Design and Construction of Animal Research Facilities: Planning for and Recovering from a Disaster.?Chapter 12. Managing Specialized Facilities.?Chapter 13. Implementing A Business Continuity Plan.?Chapter 14. Managing the Mental Well-Being of Personnel.?Chapter 15. Communicating with the Media and the Public.?Section IV: Practical Applications.?Chapter 16. Scenarios.?Section V: Looking to the Future.?Chapter 17. Forecasting Future Directions and Challenges.?Index

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Cybernetic Approach to Project Management - Volume 1: Cybernetics, Project Initiation, Development and Stabilization (Hardcover)

On Operational Gaming, Vol. 2: A Theory with Implications for Artificial Intelligence (Hardcover)

Transforming Freight Logistics and Transportation by Optimization and Data-Driven Methods (Hardcover)

Advanced Data Analytics, Machine Learning and AI in Business: Proceedings of the International Conference on Business Analytics in Practice (Icbap 202 (Paperback)

Navigating Crisis in Higher Education (Hardcover, 1)

Dedication. Editor Biographies. Contributing Author Biographies. Acknowledgements.Foreword:?Daniel P Malloy.?Introduction:?Jitendra Singh and Chris J Shannon.?1.?Challenges and Opportunities in Higher Education Delivery in Crisis:?Kim-Marie Jenkins. 2.?Developing a Crisis Leadership Mindset: Considerations for Global Leaders in Higher Education: Ralph Gigliotti. 3.?Financial Issues and Sustainability in Higher Education: Ryan Low and Michelle Malott. 4 Emergency Preparedness & Integration of Artificial Intelligence in Higher Education: Jitendra Singh, Nadia Rocio De La Asuncion Egas Tapia, Brehley Dewald, Vaishnavi Singh. 5.?The Downstream Consequences of Crisis Decision Making: Candice Beckman and Stephen Yorkstone. 6.?Navigating Through Crisis in Higher Education: Bikram Ghosh and Kim-Marie Jenkins. 7.?Higher Education Responses to the COVID-10 Pandemic: A Qualitative Study: Chris J Shannon and Stephen Yorkstone. 8.?Crises in Context: Regional Responses to COVID-19, and Contemporary Challenges: Stephen Yorkstone and Chris J. Shannon.?Conclusion.?Bringing It All Together: Mapping the Road Ahead: Jitendra Singh

Navigating Crisis in Higher Education (Paperback, 1)

Dedication. Editor Biographies. Contributing Author Biographies. Acknowledgements.Foreword:?Daniel P Malloy.?Introduction:?Jitendra Singh and Chris J Shannon.?1.?Challenges and Opportunities in Higher Education Delivery in Crisis:?Kim-Marie Jenkins. 2.?Developing a Crisis Leadership Mindset: Considerations for Global Leaders in Higher Education: Ralph Gigliotti. 3.?Financial Issues and Sustainability in Higher Education: Ryan Low and Michelle Malott. 4 Emergency Preparedness & Integration of Artificial Intelligence in Higher Education: Jitendra Singh, Nadia Rocio De La Asuncion Egas Tapia, Brehley Dewald, Vaishnavi Singh. 5.?The Downstream Consequences of Crisis Decision Making: Candice Beckman and Stephen Yorkstone. 6.?Navigating Through Crisis in Higher Education: Bikram Ghosh and Kim-Marie Jenkins. 7.?Higher Education Responses to the COVID-10 Pandemic: A Qualitative Study: Chris J Shannon and Stephen Yorkstone. 8.?Crises in Context: Regional Responses to COVID-19, and Contemporary Challenges: Stephen Yorkstone and Chris J. Shannon.?Conclusion.?Bringing It All Together: Mapping the Road Ahead: Jitendra Singh

The Courage of Your Talent : How to Build Your Self-Esteem, Trust Your Own Judgment, and Constantly Succeed in Business (Hardcover)

Chapter 1: The origins of self-esteem?Chapter 2: Why is it important?Chapter 3: Esteem’s extended family?Interlude: The courage of the precipice?Chapter 4: What is courage?Chapter 5: What is judgment?Chapter 6: The “esteem machine”?Chapter 7: The 21st Century calamity?Chapter 8: Talking it up?Chapter 9: Dealing with life Interlude: Rate your ability to grow and improve?Chapter 10. What Is Your Life’s “Playlist”??Appendix

Industrial Decision Analysis: Theory and Applications of MCDM Methods (Hardcover)

Mathematical and Fuzzy Methodologies for Decision Making, Management, and Engineering (Hardcover, 1)

Chapter 1 Fundamentals Chapter 2 Assessment of Student Satisfaction in Upper Secondary Education:
a Strategy for Continuous Improvement Chapter 3 Supply Chain Performance Assessment Using the TODIM Multicriteria Method: Towards Timely Supply. Chapter 4 Modelling Uncertainty in Decision Systems Using Neutrosophic Logic and Blockchain-Based Traceability Chapter 5 Hierarchical Ranking of the Selection of International Exchange Traded Funds Chapter 6 Decision Model for the Implementation of IT Governance: An Approach Based on Fuzzy Topsis and Principal Component Analysis. Chapter 7 Social Entrepreneurship ranking of mexican state governments: an analysis with the Ordered Weighted Average operator? Chapter 8 Food insecurity and non-communicable diseases: A bibliometric review of diabetes, obesity, and hypertension research Chapter 9 Penalty-based Bonferroni means: A heterogeneity penalty function based on Bonferroni OWA operator and Adequacy Coefficient Chapter 10 A Novel Category of Fuzzy β-Compact Spaces Chapter 11 SMART TOURISM DESTINATIONS: An assessment model for ICT indicators? ? Conclusion?

Pricing Analytics : Models and Advanced Quantitative Techniques for Product Pricing (Hardcover, 2 ed)

Acknowledgements.?Preface. Part?I Background.?1 Introduction.?2 Elasticities ? Background and Concept.?3 Elasticities ? Their Use in Pricing.?Part II Stated Preference Models.?4 Conjoint Analysis.?5 Discrete Choice Models.?6 MaxDiff Models.?7 Other Stated Preference Methods.?Part III Price Segmentation.?8 Price Segmentation: Basic Models.?9 Price Segmentation: Advanced Models.?Part IV Big Data and Econometric Models.?10 Working with Big Data.?11 Big Data Pricing Models.?12 Big Data and Nonlinear Prices.?Part V Simulations and Pricing Analytics.?13 Introduction to Simulations and Pricing Analytics.?14 Stochastic Simulation Technicalities.?15 Pricing Analytics Simulations: Case Studies.?Part VI Specialized Topics.?16 Tariffs and Pricing Analytics.?17 AI and Pricing Analytics.?Part VII References.?Part VIII?Biography.

Pricing Analytics : Models and Advanced Quantitative Techniques for Product Pricing (Paperback, 2 ed)

Acknowledgements.?Preface. Part?I Background.?1 Introduction.?2 Elasticities ? Background and Concept.?3 Elasticities ? Their Use in Pricing.?Part II Stated Preference Models.?4 Conjoint Analysis.?5 Discrete Choice Models.?6 MaxDiff Models.?7 Other Stated Preference Methods.?Part III Price Segmentation.?8 Price Segmentation: Basic Models.?9 Price Segmentation: Advanced Models.?Part IV Big Data and Econometric Models.?10 Working with Big Data.?11 Big Data Pricing Models.?12 Big Data and Nonlinear Prices.?Part V Simulations and Pricing Analytics.?13 Introduction to Simulations and Pricing Analytics.?14 Stochastic Simulation Technicalities.?15 Pricing Analytics Simulations: Case Studies.?Part VI Specialized Topics.?16 Tariffs and Pricing Analytics.?17 AI and Pricing Analytics.?Part VII References.?Part VIII?Biography.

Applied Linear Regression for Business Analytics with Python: A Practical Guide Using Ravix with Case Studies (Hardcover)