Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective, showing how these tools can help managers make more effective decisions.
The second edition has been fully revised and updated, with expanded coverage of AI and new industry case studies. Chapters explore emerging technologies and the ethical, security, privacy and legal considerations of data-driven decision-making.
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Simone Gressel
Simone Gressel (PhD) is a lecturer at The Hague University of Applied Sciences in the Netherlands. She has studied in Germany, the Netherlands, the United States, and completed her doctoral studies in Management and Information Systems in New Zealand. As part of the Management Analytics Decision Making group, her research aims at exploring the role of analytics and big data as well as human factors such as intuition and experience in the managerial decision-making process, and how a balance between both can be established. She has also held Director positions in the IT industry.
David Pauleen
David J. Pauleen (PhD) is professor of Technology Management at Massey University, New Zealand. His current research revolves around wisdom in management, personal knowledge management, knowledge management, cross-cultural management, emerging work practices, and virtual team leadership dynamics, communication and technology. His work has appeared in numerous top journals including: Information Systems Journal (2018), Decision Sciences Journal (2018), Journal of Business Ethics (2019, 2013), Journal of Management Information Systems (2003-04), and Journal of Information Technology (2001). He is editor of the book, Cross-Cultural Perspectives on Knowledge Management (2007), and co-editor of Personal Knowledge Management: Individual, Organizational and Social Perspectives (2010) and the Handbook of Practical Wisdom: Leadership, Organization and Integral Business Practice (2013). He has co-authored the book, Wisdom, Analytics and Wicked Problems: integral decision-making in the information age (2019). and is the co-editor of the Routledge Practical Wisdom in Leadership and Organization Series.
Nazim Taskin
Nazim Taskin is a Senior Lecturer at School of Management, Massey University, New Zealand. He holds a PhD in Interdisciplinary Studies from University of British Columbia, Okanagan, Canada. His research interests include Enterprise Systems, Strategic IS/IT Alignment, Big Data and Analytics, Decision Making and Knowledge Management. Nazim has published in various journals, conferences including Australasian Journal of Information Systems, Journal of Knowledge Management, Journal of Electronic Commerce, Journal of Enterprise Information Management, Business Strategy and the Environment, Hawaii International Conference on System Sciences (HICSS), Australasian Conference on Information Systems (ACIS), Americas Conference on Information Systems (AMCIS), and European Conference on Information Systems (ECIS). He has co-authored a book chapter as well.
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Paperback. Condition: new. Paperback. Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making. Key updates include content on: - How will AI impact management - AI and automation- Emerging technologies including GenAI - How AI may augment, change and replace human decision-making.- Ethical AI decision-making and responsible AISuitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels. A clear, up-to-date guide showing managers how data, big data and AIespecially the latest GenAI toolstransform decision-making, ethics and organisational practice, packed with real-world cases and perfect for business and management students at every level. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781036216634
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Paperback. Condition: new. Paperback. Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making. Key updates include content on: - How will AI impact management - AI and automation- Emerging technologies including GenAI - How AI may augment, change and replace human decision-making.- Ethical AI decision-making and responsible AISuitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels. A clear, up-to-date guide showing managers how data, big data and AIespecially the latest GenAI toolstransform decision-making, ethics and organisational practice, packed with real-world cases and perfect for business and management students at every level. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781036216634
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Taschenbuch. Condition: Neu. Neuware - Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers.The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making.Key updates include content on:- How will AI impact management- AI and automation- Emerging technologies including GenAI- How AI may augment, change and replace human decision-making.- Ethical AI decision-making and responsible AISuitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels. Seller Inventory # 9781036216634
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Paperback. Condition: new. Paperback. Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making. Key updates include content on: - How will AI impact management - AI and automation- Emerging technologies including GenAI - How AI may augment, change and replace human decision-making.- Ethical AI decision-making and responsible AISuitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels. A clear, up-to-date guide showing managers how data, big data and AIespecially the latest GenAI toolstransform decision-making, ethics and organisational practice, packed with real-world cases and perfect for business and management students at every level. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781036216634
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