Elliot Bendoly, Daniel Bachrach, Kathy Koontz
Mastering Project Discovery
Successful Discipline in Engineering and Analytics Projects
Elliot Bendoly, Daniel Bachrach, Kathy Koontz
Mastering Project Discovery
Successful Discipline in Engineering and Analytics Projects
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Introducing a comprehensive approach to invigorate project leadership, this book provides a framework - the OUtCoMES Cycle - for developing, managing, advancing, and optimizing engineering and analytics projects.
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Introducing a comprehensive approach to invigorate project leadership, this book provides a framework - the OUtCoMES Cycle - for developing, managing, advancing, and optimizing engineering and analytics projects.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 172
- Erscheinungstermin: 11. April 2024
- Englisch
- Abmessung: 229mm x 152mm x 11mm
- Gewicht: 413g
- ISBN-13: 9781032548210
- ISBN-10: 1032548215
- Artikelnr.: 70114993
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 172
- Erscheinungstermin: 11. April 2024
- Englisch
- Abmessung: 229mm x 152mm x 11mm
- Gewicht: 413g
- ISBN-13: 9781032548210
- ISBN-10: 1032548215
- Artikelnr.: 70114993
Elliot Bendoly is the Fisher College of Business Distinguished Professor at The Ohio State University and has served as Editor-in-Chief of the Journal of Operations Management. Apart from more than 70 peer review articles, he has authored eight texts including Excel Basics to Blackbelt and Visual Analytics for Management. Daniel G. Bachrach is an elected Fellow of the American Psychological Association (APA), the Association for Psychological Science (APS), and the Society for Industrial and Organizational Psychology (SIOP). He is a Business Professor at the University of Alabama and his research focuses on the structure and movement of information in teams. Kathy Koontz is a Principal Data Strategist with Amazon Web Services, working to help customers create sustainable competitive advantage from their data, analytics, artificial intelligence, and machine learning investments. She has more than 30 years of experience working with large organizations across multiple industries in both business and technology roles. Porter Schermerhorn is a Principal Engineer at Amazon where he holds patents across AWS, marketing, and customer engagement. A career mentor and coach, Porter serves in the MBA Mentorship Program at the University of Washington and on the advisory board for the Russ College of Electrical Engineering and Computer Science at Ohio University.
Introduction: "What's the Problem?" Part I - Virtuosity. Chapter 1: The
Value of Structure and Alternatives. Chapter 2: Picking the Right Problems.
Chapter 3: The Shape of Causes and Correlates. Chapter 4: Systematic Mental
and Analytical Models. Part II - Orchestration. Chapter 5: Synergies in
Numerical and Visual Tactics. Chapter 6: Leading Discovery in Projects and
Programs. Chapter 7: Organizational Memory and Learning. Conclusion:
Discovery Mastered. Glossary of Key Terms. References. Appendices. Index
Value of Structure and Alternatives. Chapter 2: Picking the Right Problems.
Chapter 3: The Shape of Causes and Correlates. Chapter 4: Systematic Mental
and Analytical Models. Part II - Orchestration. Chapter 5: Synergies in
Numerical and Visual Tactics. Chapter 6: Leading Discovery in Projects and
Programs. Chapter 7: Organizational Memory and Learning. Conclusion:
Discovery Mastered. Glossary of Key Terms. References. Appendices. Index
Introduction: "What's the Problem?" Part I - Virtuosity. Chapter 1: The Value of Structure and Alternatives. Chapter 2: Picking the Right Problems. Chapter 3: The Shape of Causes and Correlates. Chapter 4: Systematic Mental and Analytical Models. Part II - Orchestration. Chapter 5: Synergies in Numerical and Visual Tactics. Chapter 6: Leading Discovery in Projects and Programs. Chapter 7: Organizational Memory and Learning. Conclusion: Discovery Mastered. Glossary of Key Terms. References. Appendices. Index
Introduction: "What's the Problem?" Part I - Virtuosity. Chapter 1: The
Value of Structure and Alternatives. Chapter 2: Picking the Right Problems.
Chapter 3: The Shape of Causes and Correlates. Chapter 4: Systematic Mental
and Analytical Models. Part II - Orchestration. Chapter 5: Synergies in
Numerical and Visual Tactics. Chapter 6: Leading Discovery in Projects and
Programs. Chapter 7: Organizational Memory and Learning. Conclusion:
Discovery Mastered. Glossary of Key Terms. References. Appendices. Index
Value of Structure and Alternatives. Chapter 2: Picking the Right Problems.
Chapter 3: The Shape of Causes and Correlates. Chapter 4: Systematic Mental
and Analytical Models. Part II - Orchestration. Chapter 5: Synergies in
Numerical and Visual Tactics. Chapter 6: Leading Discovery in Projects and
Programs. Chapter 7: Organizational Memory and Learning. Conclusion:
Discovery Mastered. Glossary of Key Terms. References. Appendices. Index
Introduction: "What's the Problem?" Part I - Virtuosity. Chapter 1: The Value of Structure and Alternatives. Chapter 2: Picking the Right Problems. Chapter 3: The Shape of Causes and Correlates. Chapter 4: Systematic Mental and Analytical Models. Part II - Orchestration. Chapter 5: Synergies in Numerical and Visual Tactics. Chapter 6: Leading Discovery in Projects and Programs. Chapter 7: Organizational Memory and Learning. Conclusion: Discovery Mastered. Glossary of Key Terms. References. Appendices. Index