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The purpose of the book is to devise an alternative conceptual vocabulary for studying innovation by stressing the role of social, contextual and cultural perspectives. This vocabulary is drawn on a service and on sociological perspectives on innovation based on the ontological assumption that innovation is a value co-creation matter and that it takes place in a reality that is multiple, constructed and socially embedded. The aim is to tackle key issues such as social construction, service innovation, knowledge and learning processes, value (co) creation, innovating and innovation activities networking and collaborative innovation.
This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting.
The Science of Service Systems intends to stimulate discussion and understanding by presenting theory-based research with actionable results. Most of the articles focus on formalizing the theoretical foundations for a science of service systems, examining a wide range of substantive issues and implementations related to service science from various perspectives. From the formal (ontologies, representation specifications, decision-making and maturity models) to the informal (analysis frameworks, design heuristics, anecdotal observations), these contributions provide a snapshot in time of the gradually emerging scientific understanding of service systems. The Science of Service Systems, along with its companion text, Service Systems Implementation, is designed to present multidisciplinary and multisectoral perspectives on the nature of service systems, on research and practice in service, and on the future directions to advance service science. These two volumes compose a collection of articles from those involved in the emerging area known as service science.
This book aims to stimulate debate in the growing and highly controversial area of measuring scholarly work. The authors examine key aspects of this topic through the lens of the latest theoretical developments in service science and associated fields. It includes chapters explaining the theoretical developments and methodological aspects of measuring the quality of academic teaching and research, while other chapters provide a review and analysis of various types of scholarly work metrics and processes with examples from several countries, cultures, and educational systems. The current growing concern about higher education (HE) quality has prompted institutions to divide university teachers’ work into different areas and to design methods aimed at measuring the productivity of these areas. It is widely accepted that the need to evaluate HE service quality is a relevant issue for any society. However, the authors argue that most of the current practices used in the pursuit of this objective are jeopardizing the future of the university as a place of knowledge generation, science evolution and professional education.
This book provides a new and definitive overview of customer experience and how it can be managed and enhanced in one of the most dynamic industries in the world—the service industry. Its highly qualified international team of contributors ensures that it adopts a global perspective, and clearly outlines the key theoretical perspectives of customer experience, covering customer experience both from demand and supplier perspectives. Fully informed by the latest research, it explores different country contexts and how they impact upon the customer experience; investigates the social, cultural and economic dimensions of customer experience; provides case studies from a wide range of service industry sectors; and includes industry perspectives and examples.
Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analy...
This is the first book that summarizes the 20-year history of service innovation research and combines it with the future need to adopt a systems view in the field of service research. The book emphasizes that the most urgent issues of today’s economies – the development of welfare and sustainability – cannot be solved with innovations in individual service offerings only, and that innovations of service systems are increasingly needed. Various theoretical approaches and perspectives from different disciplines are included, providing a comprehensive view of the current understanding of the nature of service innovation. The book illustrates the achievements of two research traditions, o...
This pioneering book assembles chapter contributions from leading practice experts and academics to advance contemporary thinking on digital leadership. It examines the digital terrain across diverse industries and geographies, uncovering future pathways towards efficient business and management practice.
The second volume of this successful handbook represents varied perspectives on the fast-expanding field of Service Science. The novel work collected in these chapters is drawn from both new researchers who have grown-up with Service Science, as well as established researchers who are adapting their frames for the modern service context. The first Handbook of Service Science marked the emergence of Service Science when disciplinary studies of business-to-customer service systems intertwined to meet the needs of a new era of business-to-business and global service ecosystems. Today, the evolving discipline of Service Science involves advanced technologies, such as smartphones, cloud, social p...
This comprehensive Research Handbook reflects the latest research breakthroughs and practices in services management. Addressing services management from a broader strategic perspective, it delves into the key issues of analytics and service robots, and their potential impact. Edited by the late Mark M. Davis, it represents an early foray into the new frontier of services management and provides insights into the future of the field.