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008			220119s2021 sz | s |||| 0|eng d
020			_a9783030748661
024	7		_a10.1007/978-3-030-74866-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHD30.23 _b2021 EB
100	1		_aBanasiewicz, Andrew D. _eautor _4http://id.loc.gov/vocabulary/relators/aut _9680814
245	1	0	_aOrganizational Learning in the Age of Data _cby Andrew Banasiewicz
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XV, 307 páginas) _b 67 ilustraciones, 9 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8609
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aIntroduction -- Out with the Old In with the New -- Democratization of Organizations -- Organizational Dynamics and Individual Cognition -- Learning with Data: A Brief History -- Learning with Data in the 21st Century -- Managing by the Numbers -- Decision Automation -- In Machine we Trust -- Letting Go - Knowing When and How -- The Future -- Conclusion.
520	3		_aThis book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices. One of the book's central themes is the interplay between human reasoning and machine logic in the context of organizational functioning, specifically, the fairly common situations in which subjective beliefs are pitted against objective evidence giving rise to conflict rather than enhancing the quality of organizational sensemaking. Aiming to not only raise the awareness of the potential challenges but also to offer solutions, the book delineates and discusses the core impediments to effective human-information technology interactions, and outlines strategies for overcoming those obstacles on the way to enhancing the efficacy of organizational decision-making. Tackles inherently technical aspects of advanced information technologies and cognitive functioning; Discusses what it means to 'learn' and 'know' in the age of data and advanced information technologies such as big data, data analytics, AI, and machine learning; Provides specific recommendations for how to effectively combine the power of information technology with human creative thinking.
988			_aSpringer_Engineering_2021
650		7	_2embne _aToma de decisiones _9141176
650		7	_2embne _9166090 _aAprendizaje automático
776	0	8	_iPrinted edition: _z9783030748654
776	0	8	_iPrinted edition: _z9783030748678
776	0	8	_iPrinted edition: _z9783030748685
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-74866-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eIG _zSI