MARC 主機 00000nam a2200481 i 4500 
001    978-3-030-74866-1 
003    DE-He213 
005    20210708134522.0 
006    m     o  d         
007    cr nn 008maaau 
008    210708s2021    sz      s         0 eng d 
020    9783030748661|q(electronic bk.) 
020    9783030748654|q(paper) 
024 7  10.1007/978-3-030-74866-1|2doi 
040    GP|cGP|erda 
041 0  eng 
050  4 HD30.23 
072  7 TJK|2bicssc 
072  7 TEC041000|2bisacsh 
072  7 TJK|2thema 
082 04 658.403|223 
100 1  Banasiewicz, Andrew,|eauthor 
245 10 Organizational learning in the age of data /|cby Andrew 
       Banasiewicz 
264  1 Cham :|bSpringer International Publishing :|bImprint: 
       Springer,|c2021 
300    1 online resource (xv, 307 pages) :|billustrations, 
       digital ;|c24 cm 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
490 1  EAI/Springer innovations in communication and computing,
       |x2522-8595 
505 0  Introduction -- 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    This 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 
650  0 Decision making|xData processing 
650  0 Machine learning 
650 14 Communications Engineering, Networks 
650 24 Data Mining and Knowledge Discovery 
650 24 IT in Business 
710 2  SpringerLink (Online service) 
773 0  |tSpringer Nature eBook 
830  0 EAI/Springer innovations in communication and computing 
856 40 |uhttps://doi.org/10.1007/978-3-030-74866-1 
912    Springer|b111007264615 
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