This book examines smart cities through the lens of the information and communication technology (ICT)-driven transformation of the economy and economic systems and the resulting changes influencing organizations (public, private, and voluntary) and citizens in the smart city. In this context, the chapters included in this book address very specific questions pertaining to modes and models of economic collaboration, interest aggregation, and determinants of sustainable growth and development in the smart city. To this end, the circular economy, the sharing economy, the platform economy, and open innovation in the smart city are discussed. The notions of economic performance, competition, and business model innovation (BMI) are elaborated in detail. Finally, the question of the fragility of labor markets, including the availability of talent, is explored. By applying conceptually sound, inter- and multi-disciplinary approaches, frequently including case studies, this book provides a thorough insight into the complex question of how tools specific to the fields of economics, business management, innovation management, strategic management, entrepreneurship, and human resource management can be useful in view of understanding and harnessing the intrusion of ICT in the city space.

This book examines smart cities through the lens of the information and communication technology (ICT)-driven transformation of the economy and economic systems and the resulting changes influencing organizations (public, private, and voluntary) and citizens in the smart city. In this context, the chapters included in this book address very specific questions pertaining to modes and models of economic collaboration, interest aggregation, and determinants of sustainable growth and development in the smart city. To this end, the circular economy, the sharing economy, the platform economy, and open innovation in the smart city are discussed. The notions of economic performance, competition, and business model innovation (BMI) are elaborated in detail. Finally, the question of the fragility of labor markets, including the availability of talent, is explored. By applying conceptually sound, inter- and multi-disciplinary approaches, frequently including case studies, this book provides a thorough insight into the complex question of how tools specific to the fields of economics, business management, innovation management, strategic management, entrepreneurship, and human resource management can be useful in view of understanding and harnessing the intrusion of ICT in the city space.

Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed.

Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data.

Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management.

Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed.

Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data.

Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management.

This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2022. As such, this book offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. 

Papers included in this book apply inter- and multi-disciplinary approaches to query such issues as technology-enhanced teaching and learning, smart cities, information systems, cognitive computing and social networking. What brings these threads of the discussion together is the question of how advances in computer science – which are otherwise largely incomprehensible to researchers from other fields – can be effectively translated and capitalized on so as to make them beneficial for society as a whole.

In this context, Rii Forum and Rii Forum proceedings offer an essential venue where diverse stakeholders, including academics, the think tank sector and decision-makers, canengage in a meaningful dialogue with a view to improving the applicability of advances in computer science.

This book examines smart cities through the lens of the information and communication technology (ICT)-driven transformation of the economy and economic systems and the resulting changes influencing organizations (public, private, and voluntary) and citizens in the smart city. In this context, the chapters included in this book address very specific questions pertaining to modes and models of economic collaboration, interest aggregation, and determinants of sustainable growth and development in the smart city. To this end, the circular economy, the sharing economy, the platform economy, and open innovation in the smart city are discussed. The notions of economic performance, competition, and business model innovation (BMI) are elaborated in detail. Finally, the question of the fragility of labor markets, including the availability of talent, is explored. By applying conceptually sound, inter- and multi-disciplinary approaches, frequently including case studies, this book provides a thorough insight into the complex question of how tools specific to the fields of economics, business management, innovation management, strategic management, entrepreneurship, and human resource management can be useful in view of understanding and harnessing the intrusion of ICT in the city space.

This book examines smart cities through the lens of the information and communication technology (ICT)-driven transformation of the economy and economic systems and the resulting changes influencing organizations (public, private, and voluntary) and citizens in the smart city. In this context, the chapters included in this book address very specific questions pertaining to modes and models of economic collaboration, interest aggregation, and determinants of sustainable growth and development in the smart city. To this end, the circular economy, the sharing economy, the platform economy, and open innovation in the smart city are discussed. The notions of economic performance, competition, and business model innovation (BMI) are elaborated in detail. Finally, the question of the fragility of labor markets, including the availability of talent, is explored. By applying conceptually sound, inter- and multi-disciplinary approaches, frequently including case studies, this book provides a thorough insight into the complex question of how tools specific to the fields of economics, business management, innovation management, strategic management, entrepreneurship, and human resource management can be useful in view of understanding and harnessing the intrusion of ICT in the city space.

Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed.

Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data.

Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management.

Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed.

Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data.

Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management.

This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2022. As such, this book offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. 

Papers included in this book apply inter- and multi-disciplinary approaches to query such issues as technology-enhanced teaching and learning, smart cities, information systems, cognitive computing and social networking. What brings these threads of the discussion together is the question of how advances in computer science – which are otherwise largely incomprehensible to researchers from other fields – can be effectively translated and capitalized on so as to make them beneficial for society as a whole.

In this context, Rii Forum and Rii Forum proceedings offer an essential venue where diverse stakeholders, including academics, the think tank sector and decision-makers, canengage in a meaningful dialogue with a view to improving the applicability of advances in computer science.