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Organizational Learning in the Age of Data de Andrew Banasiewicz

Organizational Learning in the Age of Data: EAI/Springer Innovations in Communication and Computing

Autor Andrew Banasiewicz
en Limba Engleză Paperback – 9 iul 2022
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.

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Specificații

ISBN-13: 9783030748685
ISBN-10: 3030748685
Pagini: 307
Ilustrații: XV, 307 p. 67 illus., 9 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria EAI/Springer Innovations in Communication and Computing

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

Dr. Andrew Banasiewicz is a professor of practice and the director of data science and business analytics programs at Merrimack College, a professor of business analytics at Cambridge College, and the founder of Erudite Analytics, a data analytical consultancy focused on risk assessment. Formerly, Dr. Banasiewicz served as a full-time faculty at Boston University, a part-time faculty at Providence College and Harvard University, and a visiting lecturer at universities in Europe and Asia. Before embarking on academic and consulting career,  he spent two decades working as a senior-level quantitative risk and marketing analyst focusing primary  on research design and sampling, predictive modeling and general statistical data analyses, text mining, and impact measurement; he has extensive, hands-on data analytical experience in a wide range of industries including energy, utilities, automotive, financial services, pharmaceuticals, consumer packaged goods, gaming and hospitality. He is the author of five other analytics-focused books, in addition to multiple methodological journal articles and industry white papers. A frequent speaker at national and international professional meetings and conferences, Dr. Banasiewicz is also a Fellow of several professional and academic associations.

Textul de pe ultima copertă

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.

Caracteristici

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