Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes and services. This volume examines in depth how AI innovation is creating knowledge, improving efficiency, and elevating quality of life for millions of people and how it applies to the service industry. This volume addresses advances, issues, and challenges from several points of view from diverse service areas, including healthcare, mental health, finance, management, learning and education, and others. The authors demonstrate how service practices can incorporate the subareas of AI, such as machine learning, deep learning, blockchain, big data, neural networks, etc.

The diverse roster of chapter authors includes 48 scholars from different fields, (management, public policies, accounting, information technologies, engineering, medicine) along with executives and managers of private enterprises and public bodies in different sectors, from life sciences to healthcare. Several chapters also evaluate AI’s application in service industries during the COVID-19 era.

This book, Incorporating AI Technology in the Service Sector: Innovations in Creating Knowledge, Improving Efficiency, and Elevating Quality of Life, provides professionals, administrators, educators, researchers, and students with useful perspectives by introducing new approaches and innovations for identifying future strategies for service sector companies.

Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes and services. This volume examines in depth how AI innovation is creating knowledge, improving efficiency, and elevating quality of life for millions of people and how it applies to the service industry. This volume addresses advances, issues, and challenges from several points of view from diverse service areas, including healthcare, mental health, finance, management, learning and education, and others. The authors demonstrate how service practices can incorporate the subareas of AI, such as machine learning, deep learning, blockchain, big data, neural networks, etc.

The diverse roster of chapter authors includes 48 scholars from different fields, (management, public policies, accounting, information technologies, engineering, medicine) along with executives and managers of private enterprises and public bodies in different sectors, from life sciences to healthcare. Several chapters also evaluate AI’s application in service industries during the COVID-19 era.

This book, Incorporating AI Technology in the Service Sector: Innovations in Creating Knowledge, Improving Efficiency, and Elevating Quality of Life, provides professionals, administrators, educators, researchers, and students with useful perspectives by introducing new approaches and innovations for identifying future strategies for service sector companies.

Knowledge translation is a topic that originated in the field of health sciences where the need to move research to practice is of critical importance. In parallel, the field of knowledge sciences has developed a research base around knowledge transfer, knowledge sharing, knowledge exchange, knowledge articulation and knowledge absorption. This book brings these two important tracks together and synthesizes the fragmented literatures. It also draws from essential work on human communication and considers how these concepts are affected by the knowledge economy.

The book raises awareness of the critical role that knowledge translation plays in every academic field of study, and in everyday life. To demonstrate this role, the book presents a grounding model that readers can use to better ‘see’ their knowledge translation challenges and opportunities. Drawing on the author team’s experience in a range of domains and sectors, the book explores knowledge translation in the fields of manufacturing, infectious diseases, automated call centers, regulatory development and compliance, financial lending, transportation safety, and doctor-patient discourse.

Knowledge translation is a topic that originated in the field of health sciences where the need to move research to practice is of critical importance. In parallel, the field of knowledge sciences has developed a research base around knowledge transfer, knowledge sharing, knowledge exchange, knowledge articulation and knowledge absorption. This book brings these two important tracks together and synthesizes the fragmented literatures. It also draws from essential work on human communication and considers how these concepts are affected by the knowledge economy.

The book raises awareness of the critical role that knowledge translation plays in every academic field of study, and in everyday life. To demonstrate this role, the book presents a grounding model that readers can use to better ‘see’ their knowledge translation challenges and opportunities. Drawing on the author team’s experience in a range of domains and sectors, the book explores knowledge translation in the fields of manufacturing, infectious diseases, automated call centers, regulatory development and compliance, financial lending, transportation safety, and doctor-patient discourse.

The book provides an overview of the characteristics and skills – both technical and soft - needed to become the surgical leaders of tomorrow.  During the COVID pandemic, the methodological weakness in accessing and disseminating information in has become evident: this has fostered the digital development and has favoured the creation of networks and communities of individuals (not only physicians or surgeons) pointing the way to global knowledge sharing. The development of the technological offer applied to surgery has been very rapid, with the integration of minimally invasive and robotic surgery with artificial intelligence and computerization of decision-making processes, up to the extreme limit of space surgery. However, in the future of this discipline surgeons will no longer need to consider only improved access to knowledge and evolution of technology, as a great challenge will be represented by the parallel development of non-technical skills (leadership, communication, team-working) and by the careful application of healthcare management principles to clinical practice. Finally, in the near future (but already in the present), it will be impossible to ignore the economic impact of high-tech care and equity in access to care.  

The book describes a journey, which starts from the history of surgical education to cross the most relevant perspectives of present and future, exploring  new learning models, the thousand applications of artificial intelligence, and surgical technology to the space and back.

This book analyzes digital technologies being used in the teaching-learning process. The authors show how the use of AI in higher education can provide personalized education through the automation of administrative teaching tasks, software programs that favor the detection of topics that need reinforcement in the classroom, the guidance and support of students outside the classroom, and the use of data intelligently to teach and support students. In addition, the authors show how to further personalize education with the use of augmented reality, adaptive platforms, intelligent tutor systems, Chatbots, adaptive learning, computer aided instruction, MOOCs, and robotics. The authors answer questions such as: What sustainable educational technologies can be used in the teaching-learning process; How can Blockchain technology and AI be applied in higher education; How can the metaverse be applied in virtual learning environments? The book is relevant to researchers, professionals, andstudents interested in technology and education.

Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes and services. This volume examines in depth how AI innovation is creating knowledge, improving efficiency, and elevating quality of life for millions of people and how it applies to the service industry. This volume addresses advances, issues, and challenges from several points of view from diverse service areas, including healthcare, mental health, finance, management, learning and education, and others. The authors demonstrate how service practices can incorporate the subareas of AI, such as machine learning, deep learning, blockchain, big data, neural networks, etc.

The diverse roster of chapter authors includes 48 scholars from different fields, (management, public policies, accounting, information technologies, engineering, medicine) along with executives and managers of private enterprises and public bodies in different sectors, from life sciences to healthcare. Several chapters also evaluate AI’s application in service industries during the COVID-19 era.

This book, Incorporating AI Technology in the Service Sector: Innovations in Creating Knowledge, Improving Efficiency, and Elevating Quality of Life, provides professionals, administrators, educators, researchers, and students with useful perspectives by introducing new approaches and innovations for identifying future strategies for service sector companies.

Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes and services. This volume examines in depth how AI innovation is creating knowledge, improving efficiency, and elevating quality of life for millions of people and how it applies to the service industry. This volume addresses advances, issues, and challenges from several points of view from diverse service areas, including healthcare, mental health, finance, management, learning and education, and others. The authors demonstrate how service practices can incorporate the subareas of AI, such as machine learning, deep learning, blockchain, big data, neural networks, etc.

The diverse roster of chapter authors includes 48 scholars from different fields, (management, public policies, accounting, information technologies, engineering, medicine) along with executives and managers of private enterprises and public bodies in different sectors, from life sciences to healthcare. Several chapters also evaluate AI’s application in service industries during the COVID-19 era.

This book, Incorporating AI Technology in the Service Sector: Innovations in Creating Knowledge, Improving Efficiency, and Elevating Quality of Life, provides professionals, administrators, educators, researchers, and students with useful perspectives by introducing new approaches and innovations for identifying future strategies for service sector companies.

Knowledge translation is a topic that originated in the field of health sciences where the need to move research to practice is of critical importance. In parallel, the field of knowledge sciences has developed a research base around knowledge transfer, knowledge sharing, knowledge exchange, knowledge articulation and knowledge absorption. This book brings these two important tracks together and synthesizes the fragmented literatures. It also draws from essential work on human communication and considers how these concepts are affected by the knowledge economy.

The book raises awareness of the critical role that knowledge translation plays in every academic field of study, and in everyday life. To demonstrate this role, the book presents a grounding model that readers can use to better ‘see’ their knowledge translation challenges and opportunities. Drawing on the author team’s experience in a range of domains and sectors, the book explores knowledge translation in the fields of manufacturing, infectious diseases, automated call centers, regulatory development and compliance, financial lending, transportation safety, and doctor-patient discourse.

Knowledge translation is a topic that originated in the field of health sciences where the need to move research to practice is of critical importance. In parallel, the field of knowledge sciences has developed a research base around knowledge transfer, knowledge sharing, knowledge exchange, knowledge articulation and knowledge absorption. This book brings these two important tracks together and synthesizes the fragmented literatures. It also draws from essential work on human communication and considers how these concepts are affected by the knowledge economy.

The book raises awareness of the critical role that knowledge translation plays in every academic field of study, and in everyday life. To demonstrate this role, the book presents a grounding model that readers can use to better ‘see’ their knowledge translation challenges and opportunities. Drawing on the author team’s experience in a range of domains and sectors, the book explores knowledge translation in the fields of manufacturing, infectious diseases, automated call centers, regulatory development and compliance, financial lending, transportation safety, and doctor-patient discourse.

The book provides an overview of the characteristics and skills – both technical and soft - needed to become the surgical leaders of tomorrow.  During the COVID pandemic, the methodological weakness in accessing and disseminating information in has become evident: this has fostered the digital development and has favoured the creation of networks and communities of individuals (not only physicians or surgeons) pointing the way to global knowledge sharing. The development of the technological offer applied to surgery has been very rapid, with the integration of minimally invasive and robotic surgery with artificial intelligence and computerization of decision-making processes, up to the extreme limit of space surgery. However, in the future of this discipline surgeons will no longer need to consider only improved access to knowledge and evolution of technology, as a great challenge will be represented by the parallel development of non-technical skills (leadership, communication, team-working) and by the careful application of healthcare management principles to clinical practice. Finally, in the near future (but already in the present), it will be impossible to ignore the economic impact of high-tech care and equity in access to care.  

The book describes a journey, which starts from the history of surgical education to cross the most relevant perspectives of present and future, exploring  new learning models, the thousand applications of artificial intelligence, and surgical technology to the space and back.

This book analyzes digital technologies being used in the teaching-learning process. The authors show how the use of AI in higher education can provide personalized education through the automation of administrative teaching tasks, software programs that favor the detection of topics that need reinforcement in the classroom, the guidance and support of students outside the classroom, and the use of data intelligently to teach and support students. In addition, the authors show how to further personalize education with the use of augmented reality, adaptive platforms, intelligent tutor systems, Chatbots, adaptive learning, computer aided instruction, MOOCs, and robotics. The authors answer questions such as: What sustainable educational technologies can be used in the teaching-learning process; How can Blockchain technology and AI be applied in higher education; How can the metaverse be applied in virtual learning environments? The book is relevant to researchers, professionals, andstudents interested in technology and education.