David Pauleen

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 AI Suitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels.

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 AI Suitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels.

The challenges faced by 21st-century businesses, organizations and governments are characterized as being fundamentally different in nature, scope and levels of impact from those of the past. As problems become increasingly complex and wicked, conventional reductive approaches and data-based solutions are limited. The authors argue that practical wisdom is required. This book provides an integral and practical model for incorporating wisdom into management decision making. Based on a cross-disciplinary conceptualization of practical wisdom, the authors distinguish systematically between data, information, knowledge, and wisdom-based decision making. While they suggest that data, analytics, information and knowledge can assist decision-makers to better deal with complex and wicked problems, they argue that data-based systems cannot replace optimized human decision-making capabilities. These capabilities, the authors explain, include a range of qualities and characteristics inherent in philosophical, psychological and organizational conceptions of practical wisdom. Accordingly, in this book, the authors introduce a model that identifies the specific qualities and processes involved in making wise decisions, especially in management. The model is based on the empirical fi ndings of the authors’ studies in the areas of wisdom and management. This book is a practical resource for professionals, practitioners, and consultants in both the private and public sectors. The theoretical discussions, critical arguments, and practical guidelines provided in the book will be extremely valuable to students at the undergraduate and postgraduate levels, as well as upper-level postdoctoral researchers looking at business management strategies.

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

The challenges faced by 21st-century businesses, organizations and governments are characterized as being fundamentally different in nature, scope and levels of impact from those of the past. As problems become increasingly complex and wicked, conventional reductive approaches and data-based solutions are limited. The authors argue that practical wisdom is required. This book provides an integral and practical model for incorporating wisdom into management decision making. Based on a cross-disciplinary conceptualization of practical wisdom, the authors distinguish systematically between data, information, knowledge, and wisdom-based decision making. While they suggest that data, analytics, information and knowledge can assist decision-makers to better deal with complex and wicked problems, they argue that data-based systems cannot replace optimized human decision-making capabilities. These capabilities, the authors explain, include a range of qualities and characteristics inherent in philosophical, psychological and organizational conceptions of practical wisdom. Accordingly, in this book, the authors introduce a model that identifies the specific qualities and processes involved in making wise decisions, especially in management. The model is based on the empirical fi ndings of the authors’ studies in the areas of wisdom and management. This book is a practical resource for professionals, practitioners, and consultants in both the private and public sectors. The theoretical discussions, critical arguments, and practical guidelines provided in the book will be extremely valuable to students at the undergraduate and postgraduate levels, as well as upper-level postdoctoral researchers looking at business management strategies.

Virtual teams are a relatively new phenomenon and by definition work across time, distance, and organizations through the use of information and communications technology. This gathers the best of academic research on real work-based virtual teams into one book. It offers a series of chapters featuring practical research, insight and recommendations on how virtual team projects can be better managed, as well as in depth discussion on issues critical to virtual team success, including the place of virtual teams in organizations, leadership, trust and relationship building, best use of technology, and knowledge sharing.