Organizational learning in the age of data

• Verfasst von: Banasiewicz, Andrew D. [VerfasserIn]
• Titel: Organizational learning in the age of data
• Verf.angabe: Andrew Banasiewicz
• Verlagsort: Cham
• Verlag: Springer
• E-Jahr: 2021
• Jahr: [2021]
• Umfang: xv, 307 Seiten
• Illustrationen: Illustrationen, Diagramme
• Gesamttitel/Reihe: EAI/Springer Innovations in Communication and Computing
• ISBN: 978-3-030-74865-4
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Banasiewicz, Andrew: Organizational Learning in the Age of Data. - 1st ed. 2021.. - Cham : Springer International Publishing, 2021. - 1 Online-Ressource(XV, 307 p. 67 illus., 9 illus. in color.)
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Banasiewicz, Andrew D.: Organizational learning in the age of data. - Cham, Switzerland : Springer, 2021. - 1 Online-Ressource (xv, 307 Seiten)
• K10plus-PPN: 1767865430

Abstract

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.

Abstract

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.