This book presents an analytical framework for understanding how governments develop policies of corporate social responsibility (CSR). The research analyses CSR public policies in 15 European Union countries, and it defines four models of governmental approach from a relational perspective.

The handbook presents an overview of Industry 4.0 and offers solutions for important practical questions. The law and its current challenges regarding data assignment (who owns the data? / EU guidelines), data security, data protection (General Data Protection Regulation), cyberattacks, competition law (right to access vs. monopolists, permissible and prohibited exchanges of information, possible collaborations) is the point of departure. In turn, the book explores peculiarities in specific areas of Industry 4.0 (Internet of Production, mechanical engineering, artificial intelligence, electromobility, autonomous driving, traffic, medical science, construction, energy industry, etc.). The book’s closing section addresses general developments in management, the digital transformation of companies and the world of work, and ethical questions.

Internet of things (IoT) is an emerging research field that is rapidly becoming an important part of our everyday lives including home automation, smart buildings, smart things, and more. This is due to cheap, efficient, and wirelessly-enabled circuit boards that are enabling the functions of remote sensing/actuating, decentralization, autonomy, and other essential functions. Moreover, with the advancements in embedded artificial intelligence, these devices are becoming more self-aware and autonomous, hence making decisions themselves. Current research is devoted to the understanding of how decision support systems are integrated into industrial IoT. Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities presents the internet of things and its place during the technological revolution, which is taking place now to bring us a better, sustainable, automated, and safer world. This book also covers the challenges being faced such as relations and implications of IoT with existing communication and networking technologies; applications like practical use-case scenarios from the real world including smart cities, buildings, and grids; and topics such as cyber security, user privacy, data ownership, and information handling related to IoT networks. Additionally, this book focuses on the future applications, trends, and potential benefits of this new discipline. This book is essential for electrical engineers, computer engineers, researchers in IoT, security, and smart cities, along with practitioners, researchers, academicians, and students interested in all aspects of industrial IoT and its applications.

The definitive history of a cherished East Los Angeles institution over five decades of art making and community building. Self Help Graphics at Fifty celebrates the ongoing legacy of an institution that has had profound aesthetic, economic, and political impact on the formation of Chicanx and Latinx art in the United States. Officially launched in 1973 during the Chicano Movement, Self Help Graphics & Art continues to serve on the cultural front. The institution’s commitment to art, dignity for all, and empowerment of Chicanx and Latinx artists appears in every aspect of programming, including the Día de los Muertos festival; the Barrio Mobile Art Studio, which brings art education to underserved schools; and the printmaking program, which offers an accessible medium infused with activist aims. Looking at the multiple genealogies of art that intersect in East Los Angeles, Self Help Graphics at Fifty bears witness to the organization’s influential role in US and global art histories.

Unifying Themes in Complex Systems is a well-established series of carefully edited conference proceedings that serve to document and archive the progress made regarding cross-fertilization in this field. The International Conference on Complex Systems (ICCS) creates a unique atmosphere for scientists from all fields, engineers, physicians, executives, and a host of other professionals, allowing them to explore common themes and applications of complex systems science. With this new volume, Unifying Themes in Complex Systems continues to establish common ground between the wide-ranging domains of complex systems science.

This volume presents a theoretical and strategic discussion on the linkages between sustainable graduate employability and economic growth. With case studies from India, South Africa, Taiwan, UK, Germany, USA, UAE, Australia, and France, it looks at the skills training and education landscape around the world, examines the state of employment, and offers case-specific recommendations. The book analyzes the role of higher education and vocational education policies and strategies in integrating skill training in education in order to achieve quality education and sustainable employment for all. An important critique of skills training, education policy and planning, the volume will be an essential read for scholars and researchers of sustainable development, development studies, public policy, political economy, labour studies, and education. It will also be useful for policymakers.

Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a sub-structure of a given discrete structure. In addition, there are search algorithms, mostly probabilistic, that are designed for the prospective quantum computer. This book demonstrates the wide applicability of search algorithms for the purpose of developing useful and practical solutions to problems that arise in a variety of problem domains. Although it is targeted to a wide group of readers: researchers, graduate students, and practitioners, it does not offer an exhaustive coverage of search algorithms and applications. The chapters are organized into three parts: Population-based and quantum search algorithms, Search algorithms for image and video processing, and Search algorithms for engineering applications.