Artificial Intelligence for Sustainable Value Creation provides a detailed and insightful exploration of both the possibilities and the challenges that accompany widespread Artificial Intelligence

A hyperconnected, constantly evolving world has emerged. A world where people (internet of people), things (internet of things), and data (internet of data) are linked together, shaping the global economy while demanding new, innovative approaches for value creation. The era of hyper-connectivity is no longer characterized by centralized firm-centric business structures and traditional intra-firm and inter-firm processes. Open, distributed ecosystemic formations have started to emerge, utilizing cutting edge technologies to harness the collective power, co-creation ability, and intelligence of the crowd, the data, and the environment in an open participatory value co-creation mode. However, the question has become whether the frameworks, models, and tools that organizations use to create value will remain the same in the new business environment and within the organizations themselves. Existing literature on ecosystems, business models, and business model innovation are starting to examine these aspects. Emerging Ecosystem-Centric Business Models for Sustainable Value Creation explores emerging technology-enabled ecosystems and ecosystem-centric business models in theory and practice, from a business and technological perspective, and in a range of industrial settings, aiming to contribute to the existing knowledge of innovative technology-advanced ecosystems and business models, facilitating their design, implementation, and sustainable value creation. It examines the dynamics of this technology-powered revolution and how it is influencing the foundations of value creation and business modeling in novel ecosystemic formations across the HMD triangle: human, machine, and data. The target audience of this book is researchers and professionals in the fields of innovation, business, and strategy as well as computer science and information technology, along with managers, executives, practitioners, researchers, academicians, and students interested in new ways to create value in emerging and future ecosystems via innovative ecosystem-centric business models and strategies.

Strategy and finance are generally viewed as two separate subjects. Once regarded with fascination, they have become the subject of strong criticism, the first considered too theoretical and long term to be of any use and the second too speculative and short term to contribute to value creation. This book argues, however, that strategy and finance are in fact value twins, both of which need a thorough overhaul, from their toolkits to their end goals. The author contends that we rely on strategic and financial frameworks that were developed decades ago, but, in an increasingly complex and risky environment, these need to undergo a profound transformation, one that follows an intertwined approach, enabling companies to achieve the twin goals of value creation and sustainability consistently and successfully. The book provides a fresh and innovative view of strategy and finance. It discusses the concept of strategy extensively, examining its history, application, and importance in modern business. It also explores how strategy has evolved and how it can be adapted to better serve companies in a rapidly changing business landscape. The book emphasizes the role of finance in corporate strategy, suggesting that it is a crucial element in achieving sustainable business success, and explores how financial tools and concepts can be integrated with strategic planning to drive growth and value creation. Further, it investigates how strategic and financial planning can be used to manage business risks effectively. Readers are given useful insights via the inclusion of case studies from numerous industries, including corporations, banks, and wealth and asset managers; these real-world examples serve to close the gap between theory and practice.

Unlock unprecedented levels of value at your firm by implementing artificial intelligence In The Secrets of AI Value Creation: Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to Execution, a team of renowned artificial intelligence leaders and experts delivers an insightful blueprint for unlocking the value of AI in your company. This book presents a comprehensive framework that can be applied to your organisation, exploring the value drivers and challenges you might face throughout your AI journey. You will uncover effective strategies and tactics utilised by successful artificial intelligence (AI) achievers to propel business growth. In the book, you’ll explore critical value drivers and key capabilities that will determine the success or failure of your company’s AI initiatives. The authors examine the subject from multiple perspectives, including business, technology, data, algorithmics, and psychology. Organized into four parts and fourteen insightful chapters, the book includes: Concrete examples and real-world case studies illustrating the practical impact of the ideas discussed within Best practices used and common challenges encountered when first incorporating AI into your company’s operations A comprehensive framework you can use to navigate the complexities of AI implementation and value creation An indispensable blueprint for artificial intelligence implementation at your organisation, The Secrets of AI Value Creation is a can’t-miss resource for managers, executives, directors, entrepreneurs, founders, data analysts, and business- and tech-side professionals looking for ways to unlock new forms of value in their company. The authors, who are industry leaders, assemble the puzzle pieces into a comprehensive framework for AI value creation: Michael Proksch is an expert on the subject of AI strategy and value creation. He worked with various Fortune 2000 organisations and focuses on optimising business operations building customised AI solutions, and driving organisational adoption of AI through the creation of value and trust. Nisha Paliwal is a senior technology executive. She is known for her expertise in various technology services, focusing on the importance of bringing AI technology, computing resources, data, and talent together in a synchronous and organic way. Wilhelm Bielert is a seasoned senior executive with an extensive of experience in digital transformation, program and project management, and corporate restructuring. With a proven track record, he has successfully led transformative initiatives in multinational corporations, specialising in harnessing the power of AI and other cutting-edge technologies to drive substantial value creation.

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.

This Handbook examines the impacts of AI on the innovation of services, service processes and business models. It presents state-of-the-art conceptual and empirical evidence concerning uses and applications of AI in different service sectors and from varying perspectives.