Striking the right fit between resources, processes, and outcomes in complex environments, where different groups have something to contribute towards joint outcomes, even though they partake in joint operations in the pursuit of their own objectives This is what intelligent governance is all about. It is the practical application of an evolving worldview that is a less conflictive, more intelligent, more cooperative and a wiser mode of human coordination. This short book proposes some guideposts for intelligent governance. It does not put forward a rigid blueprint or a recipe that could mechanically and blindly be followed, but a prototype for a process of inquiry seeking to help organizations find a way forward (through innovation and value adding), some general indications about the most toxic pitfalls likely to materialize mental prisons, lack of mindfulness, etc. and comments about the most promising opportunities or initiatives likely to nudge the coordinating inquiries into successful directions.

Intelligence is a concept that occurs in multiple contexts and has various meanings. It refers to the ability of human beings and other entities to think and understand the world around us. It represents a set of skills directed at problem-solving and targeted at producing effective results. Thus, intelligence and governance are an odd couple. We expect governments and other governing institutions to operate in an intelligent manner, but too frequently we criticize their understanding of serious public problems, their decisions, behaviors, managerial skills, ability to solve urgent problems, and overall governability wisdom. This manuscript deals with such questions using interdisciplinary insights (i.e., psychological, social, institutional, biological, technological) on intelligence and integrating it with knowledge in governance, administration, and management in public and non-profit sectors. We propose the IntelliGov framework, that may extend both our theoretical, methodological, analytical, and applied understanding of intelligent governance in the digital age.

This edited volume discusses smart cities and smart governance within the framework of the 22nd century sustainable city. Written by members of the Smart Cities Smart Government Research Practice Consortium (SCSGRPC), an international multidisciplinary consortium of researchers and practitioners devoted to studying smart governance, this book provides a foundation for global efforts to envision and prepare for the next generation city by advancing understanding of the nature of and need for novel policies, new administrative practices, and enabling technologies required to advance urban governance, governments, and infrastructure. The chapters focus on practical models and approaches, theoretical frameworks, policy models, emerging issues, questions and research problems, as well as including case studies from different parts of the world. A valuable addition to the body of knowledge on smartness in urban government, this book will be of use to researchers in the fields of public administration, political science, information science, and information systems, as well as policy makers and government officials working on implementing smart technology in their cities.

This book provides theoretical perspectives and practical experiences on smart governance for smart cities. It presents a balanced linkage between research, policies and practices on this area. The authors discuss the sustainability challenges raised by rapid urbanization, challenges with smart governance models in various countries, and a new governance paradigm seen as a capable approach able to overcome social, economic and environmental sustainability problems. The authors include case studies on transformation, adaption and transfers; and country, regional, municipal contextualization. Also included are best practices on monitoring and evaluating smart governance and impact assessment. The book features contributions from researchers, academics, and practitioners in the field. Analyzes smart governance for cities from a variety of perspectives and a variety of sectors – both in theory and in practice Features information on the linkage between United Nations Sustainable Development Goals and smart governance Covers the connection between research, policies and practice in smart governance for smart cities

Offers a different perspective on global governance from the vantage point of a global knowledge society. Employing a case study of the global financial system and an analysis of several governance regimes, this work contends that markets, legal systems, and morality must evolve to cope with uncertainty, build capacities, and achieve resilience.

This book presents contributions of intelligent management theories and models for a more effective management of sustainable business practices in competitive, profitable and socially responsible organizations. It communicates the latest developments and thinking on the sustainability and intelligent management subjects worldwide, increasing the knowledge and effectiveness of all those involved in these areas whether in the profit or non-profit sectors or in the public or private sectors.

The monograph for the first time presents a systematic presentation of the theory of optimal management of agricultural technologies in precision farming (PF). According to this theory, the management of agricultural technologies is carried out at three hierarchical levels, strategic, programmatic and real-time management. The complexity of the software and mathematical apparatus for the implementation of controls at all levels is overcome by moving to expert intelligent control systems (ECS). The novelty of the proposed approach lies in the fact that the knowledge bases (KB) in the ECS are formed (designed) through the use of analytical control algorithms at all levels. To this end, control problems are repeatedly preliminarily solved for a large number of conditions uniformly covering the entire range of possible values of conditions for the region served by this system. Such knowledge bases are formed centrally in data processing centers, and local consumers have the opportunity to receive ready- made control solutions on request through the cloud information system, bypassing complex calculations. In terms of their content, these control decisions are a means of supporting decisions made by the management of farms, as well as tasks for technological robotic machines of PF systems.

Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.