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Happimetrics

Hardback

Happimetrics

Leveraging AI to Untangle the Surprising Link Between Ethics, Happiness and Business Success

9781803924014 Edward Elgar Publishing
Peter A. Gloor, Research Scientist, MIT Center for Collective Intelligence, US, Honorary Professor, University of Cologne, Germany and Chief Creative Officer, Galaxyadvisors AG
Publication Date:October 2022 ISBN:978 1 80392 401 4 Extent:c 256 pp
Based on 20 years of research, this book lays out a proven and tested method for reaching the goal of employee happiness, analyzing individuals’ communication patterns, and making them self-aware by mirroring their behaviour back to them in a privacy-respecting way. In doing so, Peter A. Gloor introduces artificial intelligence-based methods to identify personality, moral values, and ethics of individuals based on their body language and interaction with others.

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Based on 20 years of research, this book lays out a proven and tested method for reaching the goal of employee happiness, analyzing individuals’ communication patterns, and making them self-aware by mirroring their behaviour back to them in a privacy-respecting way. In doing so, Peter A. Gloor introduces artificial intelligence-based methods to identify personality, moral values, and ethics of individuals based on their body language and interaction with others.

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.
Contributors
Based on 20 years of research, this book lays out a proven and tested method for reaching the goal of employee happiness, analyzing individuals’ communication patterns, and making them self-aware by mirroring their behaviour back to them in a privacy-respecting way. In doing so, Peter A. Gloor introduces artificial intelligence-based methods to identify personality, moral values, and ethics of individuals based on their body language and interaction with others.

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.
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