Happimetrics Leveraging AI to Untangle the Surprising Link Between Ethics, Happiness and Business Success
Produktdetaljer
Biographical note
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<i>‘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.’</i>
- A. Pantelides, Choice Magazine,
In this book readers will:
- understand the basic concepts of groupflow – when teams collaborate at their best through intrinsic motivation and positive stress
- learn how to use artificial intelligence (AI), machine learning (ML) and social network analysis (SNA) to analyze communication by tracking emotions, social networks, morals, and tribes
- successfully use virtual mirroring to create entangled teams that work together in collaborative innovation networks (COINs) synchronized and in harmony for superior performance
- understand how to implement virtual mirroring using these technologies.
Groundbreaking and innovative, Happimetrics will be an invaluable resource for scholars and students in the fields of business analytics, information systems and organizational innovation. It will also be useful for HR professionals and AI developers who are looking to use predictive analytics to measure workforce performance.