Happimetrics

Peter A. Gloor, Research Scientist, Massachusetts Institute of Technology, Center for Collective Intelligence, US, Honorary Professor, University of Cologne, Germany and Chief Creative Officer, Galaxyadvisors AG

‘Gloor (MIT) draws on AI technology to research and analyze employee happiness and performance. He first clarifies fundamental concepts and the personal and social network structures within work environments. Essentially, he redefines aspects of organizational behavior and psychology and relates them to well-known business concepts like collaboration, and also to relatively unique ideas such as entanglement. The second half of the book moves into slightly more technical discussions of measurement, collection, analysis, data visualization, and the AI/KM tools that can be leveraged, but it never strays far from the fundamental and ultimate concept of personal and organizational well-being. Along the way, Gloor presents interesting, timely, and practical supporting materials and reinforces his concepts with quotes from Dostoevsky all the way to Freddie Mercury. Gloor's book is highly readable, interesting, and at times entertaining, enabling the reader to quickly grasp his concepts. The subject matter is also very timely in the face of the recent pandemic and the transition, in many cases, to a partial virtual working environment.’

• Contents: 1. Introduction to happimetrics: leveraging artificial intelligence to untangle the surprising link between ethics, happiness and business success PART I PRINCIPLES OF GROUPFLOW 2. What is groupflow? 3. The influence of morality on emotions 4. Building blocks of happiness 5. Virtual tribes 6. Beeflow, antflow and leechflow 7. Entanglement is more than collaboration 8. Creating entangled collaborative innovation networks 9. Virtual mirroring 10. Steps to entanglement PART II MEASURING GROUPFLOW 11. AI makes emotions measurable by aggregating the wisdom of the crowd 12. AI-based interaction analysis between humans (and other living creatures) 13. Measuring social network structure 14. Measuring emotions 15. Measuring moral values from facial expressions 16. Measuring moral values from email 17. Measuring influence through quoting novel words 18. Measuring entanglement 19. Measuring tribes 20. Building a social compass Epilogue: from collective intelligence to collective wisdom References Index