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.
This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization. - Introduces novel intelligent techniques needed to address environmental pollution for the well-being of the global environment - Offers perspectives on the design, development and commissioning of intelligent applications - Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies surrounding the monitoring and mitigation of environmental pollution - Puts forth insights on future generation intelligent pollution monitoring techniques
This book consolidates and summarizes smart technologies like IoT, edge computing, and AI used in different aspects of waste material management, mitigation, and recycling for a sustainable environment. One of the cases explains how IoT-based systems and wireless sensors can be used to continuously detect common pollutants such as volatile organic compounds (VOCs), carbon monoxide, and particulate matter (PM) and how the data collected are used to assess the overall air quality and determine actions for improvements. A collection of practical case studies, this book provides a comprehensive knowledge in smart waste management to readers in universities, research centers, and industries.
This book includes contributions from scientists and representatives from government and non-governmental organisations working in the field of land management and use and on management of fires. The book is truly interdisciplinary and has both a research and application-oriented dimension. The list of topics includes sustainability and water management; sustainability and biodiversity conservation; the future sustainability of nature-based industries such as agriculture, mining, tourism, fisheries and forestry; sustainability, people and livelihoods; sustainability and landscapes planning; sustainability and land use planning; handling and managing forest fires. The papers are innovative and cross-cutting, and many have practice-based experiences. Also, this book, prepared by the Inter-University Sustainable Development Research Programme (IUSDRP) and the World Sustainable Development Research and Transfer Centre (WSD-RTC), reiterates the need to promote a sustainable use of land resources today.
In the midst of climate change, responsible business practices and ecological modernization become essential tools for the promotion of sustainability. Due to the current level of demand for eco-friendly products and services, there is a need for green training and green human resource development to support green creativity and eco-innovation for sustainability. By incorporating green initiatives into human resource practices, organizations can maintain a positive impact on the environment. With a full understanding of sustainable business practices, positive impacts on the environmental management field become easier to produce. Human Resource Management Practices for Promoting Sustainability is a pivotal reference source that explores the incorporation of green initiatives into all aspects of human resource management practices in a variety of industries. The book delivers a discussion on green human capital, collective green intelligence, and competencies that are essential to cope with the challenges in Industry 4.0. It also provides a basis for green recruitment and selection processes as a way of promoting pro-environmental behavior in the labor markets. While highlighting a broad range of topics including employee relations, knowledge management, and recruitment, this book is ideally designed for executives, entrepreneurs, human resource managers, academicians, researchers, and students. The book is also suitable for conventional and corporate universities looking to meet sustainable development goals as well as policymakers as it provides a guideline in designing and implementing green creativity and eco-innovation based on a wide range of global issues confronting sustainability in the Fourth Industrial Revolution.
Organizational sustainability and uncertain economies are key topics for modern organizations. New, updated knowledge about such matters is necessary for companies to ensure they are sufficiently prepared for future crises. Additional research is required in this area as the overall amount of material available is below par. The Handbook of Research on Organizational Sustainability in Turbulent Economies provides theoretical and practical evidence that demonstrates how the integration, adaptation, construction, and application of strategic models, methods, and tools can promote organizational sustainability for economies in situations of uncertainty. Covering topics such as work engagement and sustainable development goals, this major reference work is ideal for academicians, practitioners, policymakers, entrepreneurs, business owners, researchers, instructors, and students.
Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions provides deterministic and probabilistic models for transportation logistics problem-solving and decision-making. The book presents an overview of the intersections between sustainability, transportation, and logistics, and delves into the current problems associated with the implementation of sustainable transportation and smart logistics in urban settings. It also offers models for addressing complex structural problems and procedures for estimating transportation externalities such as environmental and social impacts, both in industrial and government arenas, as well as decision-making models from operational, tactical, and strategic management perspectives. Sustainable Transportation and Smart Logistics also covers best practices for practical corporate policy implementation, making it a comprehensive and vital resource for researchers, graduate students, practitioners, and policy makers in transportation, logistics, urban planning, economics, engineering, and environmental science. - Examines various modes of transportation - Includes mathematical models for decision-making in a wide variety of situations - Presents public transportation and smart cities use cases
This book offers an overview of sustainability and urban mobility in the context of urban planning – topics that are of considerable interest in the development of smart cities. Environmental sustainability is universally recognized as a fundamental condition for any urban policy or urban management activity, while mobility is essential for the survival of complex urban systems. The new opportunities offered by innovations in the mobility of people, goods and information, as well as radically changing interactions and activities are transforming cities. Including contributions by urban planning scholars, the book provides an up-to-date picture of the latest studies and innovative policies and practices in Italy, of particular interest due to its spatial, functional and social peculiarities. Sustainability and mobility must form the basis of “smart planning” – a new dimension of urban planning linked to two main innovations: procedural innovation in the management of territorial transformations and the technological innovation of the generation, processing and distribution of data (big data) for the creation of new "digital environments" such as GIS, BIM, models of augmented and mixed reality, useful for describing changes in human settlement in real time.
This book conceptualizes a revolutionary idea based on a mechanistic-mathematical model in which the “Buffer Power” of the principal and problematic nutrients like phosphorus, potassium and zinc is quantified. This is achieved by using either a very sophisticated technique, electro-ultra-filtration, or a simple adsorption-desorption equilibrium technique, and by integrating the “Buffer Power” of the nutrient in question into the computations, accurate fertilizer recommendations are made. This technique was field tested across Europe, (Germany and Belgium), Africa (The Republic of Cameroon), and Asia (both Central Asia- Turkey and South Asia-India), during a period of three decades in test crops, such as, summer rye (Secale cereale), maize (Zea mays), wheat (Triticum aestivum), white clover (Trifolium repens), a highly nutritious and palatable fodder crop for Africa, black pepper (Piper nigrum) and cardamom (Elettaria cardamomum). Remarkable precision in predictability of plant uptake of phosphorus, potassium and zinc was obtained employing the technique. “The Nutrient Buffer Power Concept” project was shortlisted for the very prestigious U.S. $1 Million Rolex Awards For Enterprise of The Rolex Foundation, Geneva, Switzerland, for its outstanding originality and quality from more than 3500 nominations worldwide and is the only project chosen for this very coveted distinction from the Asian continent.
