This book reports on cutting-edge research and best practices in developing innovative service systems. It covers issues concerning the suitability of a given system for human use, human services, and excellent human experiences. It explores a wide range of ways in which human factors in engineering, ergonomics, human-computer interaction (HCI), cognitive engineering, and many other disciplines can contribute to the design and management of service systems. It considers aspects related to cost effectiveness, ethics, and privacy, among others, and covers applications in many areas, from healthcare to education, transportation, and the economy. Based on the AHFE 2020 Virtual Conference on the Human Side of Service Engineering, held on July 16-20, 2020, the book provides readers with a comprehensive overview of current research and future challenges in the field of service engineering, together with practical insights into the development of innovative services for various kinds of organizations.

Are you prepared for the coming AI era? AI advances will profoundly change your daily service interactions, so this book provides readers with a necessary understanding of service, the application of resources (e.g., knowledge) for the benefit of another. In just minutes, you can learn about today's use of early-stage AI for automation and augmentation, and essential elements of service science, service-dominant (S-D) logic, and Service Dominant Architecture (SDA). Ultimately improved service for all is possible with human-level AI and digital twins - but requires investing wisely in better models: Better models of the world both complex natural and social systems (science), better mental-models in people to improve interactions (logic), better cultural and structural models of organizations to improve change (architecture), and better trusted and responsible AI models. The service innovation community studies and builds better models to improve interactions and change in business and society. The book challenges all responsible actors - individuals, businesses, universities, and governments - to invest systematically and wisely to upskill with AI (the X+AI vision). The service innovation community is a growing transdiscipline harnessing all disciplines to become better T-shaped professionals. Extensive end notes, bibliography, and index are provided.

The purpose of this book is to provide both academic and industry perspectives on T-shaped talent as a framework to develop the next generation workforce. This book will include a number of chapters from the authors of this book (Y. Moghaddam, H. Demirkan and J. Spohrer), and edited chapters from a number of additional experts who have been working on next generation of workers. The ISSIP BEP T-Summit collection aims to offer insights and practical wisdom easily applicable to the workplace. The context in which service is designed, delivered and experienced has been changing fundamentally. With exponentially growing and evolving technology-enabled, service transformations and innovations (e.g. IBM, Rolls-Royce, Amazon, Google, Lego, Disney, Tesco, iTunes, Uber, Smart Phones, Etsy, AirBnB, eBay). With this project, we envision to capture the latest thinking, experiences and results, and to publish a collection of practical, focused, easily digestible short papers in the increasingly important area of T-shape talent development, which integrates a variety of disciplines - including areas in engineering, social sciences and management - to focus education, research and practice on an expanding innovation economy.