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Management, organisations and artificial intelligence : where theory meets practice / Piotr Buła and Bartosz Niedzielski.

By: Contributor(s): Material type: TextTextSeries: Routledge studies in innovation, organization and technologyPublisher: Abingdon, Oxon ; New York, NY : Routledge, 2022Copyright date: ©2022Description: 149 Pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Other title:
  • Management, organizations and artificial intelligence
Subject(s): Additional physical formats: Print version:: Management, organisations and artificial intelligenceDDC classification:
  • 658.0563 B.P.M 23
LOC classification:
  • HD30.2 .B857 2022
Online resources:
Contents:
<P>Chapter One</P><P>Industrial revolution -- from Industry 1.0 to Industry 4.0</P><P>1.1. Genesis and development of Industry 4.0</P><P>1.2. Industry 4.0 -- definition-based perspective</P><P>1.3. Industry 4.0 -- economic potential of the Fourth Industrial Revolution </P><P>1.4. Industry 4.0 -- implementation barriers versus support conditions</P><P>1.5. Industry 4.0 -- challenges and opportunities for the organization and the global economy</P><P></P><B><P>Chapter Two</P><P>Artificial intelligence (AI) -- a new technology in the postmodern era </P></B><P>2.1. Artificial intelligence -- an explanation-based perspective </P><P>2.2. Basic elements of artificial intelligence -- a classification </P><P>2.3. Impact of artificial intelligence on business and economy</P><P>2.4. Artificial intelligence 2.0 -- evolutionary development path </P><P>2.5. Artificial intelligence development prospects in the economy</P><P></P><B><P>Chapter Three</P><P>Organizations in the artificial intelligence era </P></B><P>3.1. Impact of artificial intelligence on the organization </P><P>3.2. Artificial intelligence -- changing managerial paradigms </P><P>3.3. Artificial intelligence in the organization -- stages of implementation, assessment of resources, challenges</P><P>3.4. AI organizations -- a new type of organization in the world of management</P><P>3.5. Data as the strategic resource of the organization in the AI era</P><P></P><B><P>Chapter Four</P><P>Artificial intelligence development strategies on the global arena </P></B><P>4.1. United States </P><P>4.2. China </P><P>4.3. European Union </P><P>4.4. Brazil </P><P>4.5. Africa</P>
Summary: "This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organisational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors' holistic approach is unique in the field. From a universalist perspective, the book examines and analyses the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organisation management, business ecosystems, data processing models in AI-based organisations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organisational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more"-- Provided by publisher.
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Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Main library Commerce and business administration ( Management Information Systems ) 658.0563 B.P.M (Browse shelf(Opens below)) C.1 Available 00017578

Includes bibliographical references and index.

<P>Chapter One</P><P>Industrial revolution -- from Industry 1.0 to Industry 4.0</P><P>1.1. Genesis and development of Industry 4.0</P><P>1.2. Industry 4.0 -- definition-based perspective</P><P>1.3. Industry 4.0 -- economic potential of the Fourth Industrial Revolution </P><P>1.4. Industry 4.0 -- implementation barriers versus support conditions</P><P>1.5. Industry 4.0 -- challenges and opportunities for the organization and the global economy</P><P></P><B><P>Chapter Two</P><P>Artificial intelligence (AI) -- a new technology in the postmodern era </P></B><P>2.1. Artificial intelligence -- an explanation-based perspective </P><P>2.2. Basic elements of artificial intelligence -- a classification </P><P>2.3. Impact of artificial intelligence on business and economy</P><P>2.4. Artificial intelligence 2.0 -- evolutionary development path </P><P>2.5. Artificial intelligence development prospects in the economy</P><P></P><B><P>Chapter Three</P><P>Organizations in the artificial intelligence era </P></B><P>3.1. Impact of artificial intelligence on the organization </P><P>3.2. Artificial intelligence -- changing managerial paradigms </P><P>3.3. Artificial intelligence in the organization -- stages of implementation, assessment of resources, challenges</P><P>3.4. AI organizations -- a new type of organization in the world of management</P><P>3.5. Data as the strategic resource of the organization in the AI era</P><P></P><B><P>Chapter Four</P><P>Artificial intelligence development strategies on the global arena </P></B><P>4.1. United States </P><P>4.2. China </P><P>4.3. European Union </P><P>4.4. Brazil </P><P>4.5. Africa</P>

"This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organisational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors' holistic approach is unique in the field. From a universalist perspective, the book examines and analyses the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organisation management, business ecosystems, data processing models in AI-based organisations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organisational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more"-- Provided by publisher.

Piotr Buła is Associate Professor and Head of the International Management Department at Cracow University of Economics (CUE), Poland, Vice-Rector for Projects and Cooperation (CUE), former Director of Cracow School of Business (CUE), Senior Research Professor in Business Management Department at the University of Johannesburg,South Africa, andGrand Valley State University scholarship holder. He is the author or co-author of more than 170 publicationsin economics and management. His research interests focus on aspects related to the application of artificial intelligence and neuromanagement, risk management, internal audit, international management and logistics. A member of international organizations associating professors and business practitioners in the management area: EFMD, CEEMAN, IMDA, GBATA, EIBA, GSSI, IAMB, EECSA, SAIMS. Bartosz Niedzielski is Assistant Professor at Cracow University of Economics, Poland. He studied and conducted scientific activities, among other subjects, at the University of Greenwich, University of Oxford, UK, London School of Economics, UK, Deggendorf Institute of Technology, Germany,and Jagiellonian University, Poland. He has over 10 years of professional experience gained in global corporations in the BPO/SCC sector (mainly at HSBC). His research interests focus on aspects related to the application of artificial intelligence in organizations, management and internal audit. He is the author or co-author of more than 50 scientific publicationsin economics and management.

Description based on online resource; title from digital title page (viewed on December 22, 2021).

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