Interdisciplinary Perspectives On Sustainable Development From Vision To Action

Interdisciplinary Perspectives on Sustainable Development from Vision to Action

Green Management Approaches to Organizational Behavior

Understanding the intersection of organizational behavior and green management practices is vital for fostering sustainable success and addressing environmental challenges. Leadership styles, teamwork, and employee motivation play crucial roles in shaping workplace dynamics, while sustainability-oriented strategies, such as energy efficiency and green supply chains, influence organizational culture and performance. Integrating digital technologies, such as automation and data analytics, further amplifies these impacts by transforming business processes and behaviors. Environmentally conscious organizations not only protect resources for future generations but also inspire individuals and communities to adopt sustainable practices. Such approaches positively impact society, the environment, and the long-term success of businesses. Green Management Approaches to Organizational Behavior explores how businesses that respect the environment not only affect sustainable success, but also positively affect the impact of business activities on society and the environment. It promotes the protection of resources for future generations. Covering topics such as green mindfulness, intrinsic motivation, and organizational citizenship, this book is an excellent resource for business professionals, human resource professionals, policymakers, researchers, professionals, scholars, academicians, and more.

Big Data Science and Analytics for Smart Sustainable Urbanism

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holisticand integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.