This book addresses the development and adoption of artificial intelligence (AI) in and by companies and the consequent need for private sector AI regulation. Highlighting the challenges to responsible business conduct and considering stakeholder interests, it identifies ethical concerns and discusses AI standards and AI norms. Based on this needs-based analysis, the author chooses relational economics as a suitable approach to develop a theoretical AI governance model. In doing so, AI is conceptualized within relational economics in the form of an autopoietic system. Building on this theoretical contribution, the book specifies the governance adaptivity of the relational AI governance approach for an unregulated AI market and for the case of the pending E.U. AI regulation, and complements it with inductively conducted categories that summarize the main research streams in AI ethics.

Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders.

Understand the reality of contemporary organizational leadership with the second edition of this thought-provoking textbook. Through an analysis of key theories and topical issues such as innovation, gender, power, ethics and environmental sustainability, the authors deftly illustrate how leadership cannot be extricated from the wider organizational context and why leadership is increasingly seen as a shared endeavour between leaders and followers. The book has been fully updated, with a new introduction discussing the challenges faced by leaders during the Covid-19 pandemic as well as a Foreword by Mary Robinson. NEW to this edition: A new chapter on Team Leadership looks at team dynamics, the role of technology in teamworking and the challenges arising for virtual teams A new chapter on Leadership and Artificial Intelligence covers the rise of AI and big data, and how AI affects the employment relationship and leader-follower relations A new Ethical Spotlight feature in all chapters explores ethical issues faced by leaders and encourages reflection Suitable for undergraduate and postgraduate students studying leadership. John Bratton is Honorary Professor in the Management School at Queen′s University Belfast, Northern Ireland.

This cutting-edge Handbook provides a global perspective on the current issues affecting water politics and governance. Focusing in particular on the policy-making process and the power dynamics that it involves, it showcases the emerging diversity of objectives, instruments and governance approaches in the field of water resources.

"Book abstract: The Oxford Handbook of AI Governance examines how artificial intelligence (AI) interacts with and influences governance systems. It also examines how governance systems influence and interact with AI. The handbook spans forty-nine chapters across nine major sections. These sections are (1) Introduction and Overview, (2) Value Foundations of AI Governance, (3) Developing an AI Governance Regulatory Ecosystem, (4) Frameworks and Approaches for AI Governance, (5) Assessment and Implementation of AI Governance, (6) AI Governance from the Ground Up, (7) Economic Dimensions of AI Governance, (8) Domestic Policy Applications of AI, and (9) International Politics and AI"--

Customer relationship management (CRM) has gone beyond traditional frameworks and immersed itself in innovative strategies. Customer Relationship Management - Contemporary Concepts and Strategies is a highly influential book. This book examines the dynamics in CRM due to cutting-edge technologies and human-centric approaches that redefine businesses’ engagement with their customers. Moreover, this book offers an all-inclusive view of the current and future topography by investigating the deep impact of emotional intelligence on customer loyalty and coupling the transformative power of AI. Further, we provide a robust guidebook for our readers by integrating theoretical foundations with practical applications. We provide an outline to businesses for effective CRM strategies and fostering sustainable customer relationships. This book also addresses CRM implementation across diverse markets and cultures by offering a unique perspective on the universal and adaptable nature of customer management strategies. The insights presented in this book are vital for businesspeople, managers, and researchers so that they may leverage CRM as a strategic tool for their respective success.