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This book provides a comprehensive introduction to the study of sensors and the Internet of Things (IoT) from a government and public policy perspective. Since 2011, federal spending on IoT has been growing at a compound annual rate of ten percent. New technologies, such as sensors, and new kinds of data, such as big data, are creating new ways to systematically capture data and to use it to respond to complex problems. Some of these new technologies and applications have been identified and studied in recent literature in terms of their relevance to government. This volume adds to the literature by presenting sound theories and concepts for understanding the opportunities and challenges governments face when seeking to improve public services and government operations through the use of IoT. It also includes innovative methodologies for building understanding of the potential of a smart and connected government. In addition, the book offers relevant case studies and practical recommendations for the development, management, and evaluation of public policies and government programs.

This book provides a comprehensive approach to the study of policy analytics, modelling and informatics. It includes theories and concepts for understanding tools and techniques used by governments seeking to improve decision making through the use of technology, data, modelling, and other analytics, and provides relevant case studies and practical recommendations. Governments around the world face policy issues that require strategies and solutions using new technologies, new access to data and new analytical tools and techniques such as computer simulation, geographic information systems, and social network analysis for the successful implementation of public policy and government programs. Chapters include cases, concepts, methodologies, theories, experiences, and practical recommendations on data analytics and modelling for public policy and practice, and addresses a diversity of data tools, applied to different policy stages in several contexts, and levels and branches of government. This book will be of interest of researchers, students, and practitioners in e-government, public policy, public administration, policy analytics and policy informatics.

El libro aborda las características y los postulados básicos de los enfoques utilizados en las políticas públicas y su estudio, además de describir cómo pueden emplearse éstas en el análisis de las decisiones que toma el Estado. Esta obra, preparada por un grupo de investigadores de la División de Administración Pública del Centro para la Investigación y Docencia Económica, llena un vacío en la literatura sobre el tema.

This book provides key strategic principles and best practices to guide the design and implementation of digital government strategies. It provides a series of recommendations and findings to think about IT applications in government as a platform for information, services and collaboration, and strategies to avoid identified pitfalls. Digital government research suggests that information technologies have the potential to generate immense public value and transform the relationships between governments, citizens, businesses and other stakeholders. However, developing innovative and high impact solutions for citizens hinges on the development of strategic institutional, organizational and technical capabilities. Thus far, particular characteristics and problems of the public sector organization promote the development of poorly integrated and difficult to maintain applications. For example, governments maintain separate applications for open data, transparency, and public services, leading to duplication of efforts and a waste of resources. The costs associated with maintaining such sets of poorly integrated systems may limit the use of resources to future projects and innovation. This book provides best practices and recommendations based on extensive research in both Mexico and the United States on how governments can develop a digital government strategy for creating public value, how to finance digital innovation in the public sector, how to building successful collaboration networks and foster citizen engagement, and how to correctly implement open government projects and open data. It will be of interest to researchers, practitioners, students, and public sector IT professionals that work in the design and implementation of technology-based projects and programs.

​This book will provide one of the first comprehensive approaches to the study of smart city governments with theories and concepts for understanding and researching 21st century city governments innovative methodologies for the analysis and evaluation of smart city initiatives. The term “smart city” is now generally used to represent efforts that in different ways describe a comprehensive vision of a city for the present and future. A smarter city infuses information into its physical infrastructure to improve conveniences, facilitate mobility, add efficiencies, conserve energy, improve the quality of air and water, identify problems and fix them quickly, recover rapidly from disasters, collect data to make better decisions, deploy resources effectively and share data to enable collaboration across entities and domains. These and other similar efforts are expected to make cities more intelligent in terms of efficiency, effectiveness, productivity, transparency, and sustainability, among other important aspects. Given this changing social, institutional and technology environment, it seems feasible and likeable to attain smarter cities and by extension, smarter governments: virtually integrated, networked, interconnected, responsive, and efficient. This book will help build the bridge between sound research and practice expertise in the area of smarter cities and will be of interest to researchers and students in the e-government, public administration, political science, communication, information science, administrative sciences and management, sociology, computer science, and information technology. As well as government officials and public managers who will find practical recommendations based on rigorous studies that will contain insights and guidance for the development, management, and evaluation of complex smart cities and smart government initiatives.​

Many countries around the world are investing a great amount of resources in government IT initiatives. However, few of these projects achieve their stated goals and some of them are complete failures. Therefore, understanding e-government success has become very important and urgent in recent years. In order to develop relevant knowledge about this complex phenomenon, researchers and practitioners need to identify and assess what are the main conditions, variables, or factors that have an impact on e-government success. However, before being able to evaluate these impacts, it is necessary to define what e-government success is and what some e-government success measures are. This book presents a review of both e-government success measures and e-government success factors. It also provides empirical evidence from quantitative analysis and two in-depth case studies. Although based on sound theory and rigorous empirical analysis, the book not only significantly contributes to academic knowledge, but also includes some practical recommendations for government officials and public managers.Theoretically, the book proposes a way to quantitatively operationalize Fountain's enactment framework. Based on the institutional tradition, the technology enactment framework attempts to explain the effects of organizational forms and institutional arrangements on the information technology used by government agencies. According to Fountain (1995; 2001) the technology enactment framework pays attention to the relationships among information technology, organizations, embeddedness, and institutions. This framework is very well known in the e-government field, but is normally used for qualitative analysis and there is no previous proposal of how to use it with quantitative data. The book proposes variables to measure each of the different constructs in this framework and also tests the relationships hypothesized by Fountain's theory. Finally, using the advantages of the selected quantitative analysis technique (Partial Least Squares), the study also proposes some adjustments and extensions to the original framework in a theory building effort.Methodologically, the book reports on one of the first multi-method studies in the field of e-government in general and e-government success in particular. This study uses a nested research design, which combines statistical analysis with two in depth case studies. The study begins with a statistical analysis using organizational, institutional, and contextual factors as the independent variables. An overall score representing e-government success in terms of the functionality of state websites is the dependent variable. Second, based on the statistical results two cases are selected based on their relative fitness to the model (residuals) and their position in the general ranking of website functionality (which includes four different measures). In order to complement the results of the statistical analysis,case studies were developed for the two selected states (New York and Indiana), using semi-structured interviews and document analysis. In terms of the statistical analysis, the book constitutes one of the first applications of Partial Least Squares (PLS) to an e-government success study. PLS is a structural equations modeling (SEM) technique and, therefore, allows estimating the measurement model and the structural model simultaneously. The use of this sophisticated statistical strategy helped to test the relationships between e-government success and different factors influencing it, as well as some of the relationships between several of the factors, thus allowing exploring some indirect effects too.