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008			211221s2022 gw | s |||| 0|eng d
020			_a9783662640050
024	7		_a10.1007/978-3-662-64005-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHF5548.8 _b2022 EB
100	1		_aMoring, Andreas _eautor _9682846
245	1	0	_aAI on The Job : _bGuide to Successful Human-Machine Collaboration _cby Andreas Moring
250			_afirst edition 2022
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2022
300			_a1 recurso en línea (VIII, 139 páginas) _b22 ilustraciones, 2 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
505	0		_aPreface -- 1. introduction -- 2. man and machine -- 3. artificial intelligence -- 4. theories of technical adaptation -- 5. basic principles of motivation -- 6. self determination theory -- 7. jobs demands resources -- 8. artificial intelligence and employee motivation -- 9. employees' expectations towards "AI jobs" -- 10. guide for practical AI implementation.
520			_aThis book is a practical guide to using artificial intelligence with motivated employees in companies and organizations. You will learn what the prerequisites are for people to look forward to productive collaboration with "intelligent machines". Because this is the only way to leverage the full potential of AI. This book is a translation of the original German 1st edition KI im Job by Andreas Moring, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. To this end, you will receive an overview of how and where AI can be used in companies and how to identify the right areas of application for AI in your company. The main issue here is the following: which tasks will be taken over by AI in the future and which should continue to be performed by employees. These decisions change processes and tasks and require practical change management and motivation. In this book, you will learn how to motivate and inspire people for these new tasks, so that the steps towards using AI in the work environment can succeed in the best possible way. About the Author: Prof. Dr. Andreas Moring is Professor of Digital Business, Innovation & AI at the International School of Management. He is founder and director of the JuS.TECH Institute for AI and Sustainability, co-founder of the WeGoFive initiative for productive human-AI cooperation and topic sponsor for human-AI cooperation at the Artificial Intelligence Center ARIC in Hamburg.
988			_aSpringer_Psychology_2022
650		7	_2embne _9139899 _aPsicología industrial
650		7	_2embne _aInteligencia artificial _9413115
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-64005-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _eu _zSI