000			02004nam a22001817a 4500
005			20240222155449.0
008			240222b |||||||| |||| 00| 0 eng d
020			_a9781035312153
082			_a658.314 _bGLO
100			_aGloor, Peter .A. _914274
245			_aHappimetrics: _bleveraging AI to untangle the surprising link between ethics, happiness and business success
260			_bEdward Elgar Publishing Ltd. _aCheltenham _c2022
300			_a223 p.
365			_aGBP _b27.95
520			_aBased 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.
650			_aArtificial intelligence--Industrial applications _915133
942			_cBK _2ddc
999			_c6017 _d6017