Authors:
- 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
Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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School of Science and Engineering, Merrimack College, North Andover, Massachusetts; School of Management, Cambridge College, Boston, USA
Andrew Banasiewicz
About the author
Bibliographic Information
Book Title: Organizational Learning in the Age of Data
Authors: Andrew Banasiewicz
Series Title: EAI/Springer Innovations in Communication and Computing
DOI: https://doi.org/10.1007/978-3-030-74866-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-74865-4Published: 09 July 2021
Softcover ISBN: 978-3-030-74868-5Published: 09 July 2022
eBook ISBN: 978-3-030-74866-1Published: 08 July 2021
Series ISSN: 2522-8595
Series E-ISSN: 2522-8609
Edition Number: 1
Number of Pages: XV, 307
Number of Illustrations: 58 b/w illustrations, 9 illustrations in colour
Topics: Communications Engineering, Networks, Data Mining and Knowledge Discovery, IT in Business