Integrating Intelligence and Sustainability in Supply Chains is a comprehensive research guide that delves into the realm of sustainable and smart supply chains. With a focus on bridging the gap between intelligence and sustainability, this book provides a valuable resource for graduate students in business, management, industrial engineering, and industrial ecology. It serves as a unifying platform for researchers across various domains, including operations management, industrial ecology, industrial strategy, risk management, and life cycle assessment, who are passionate about sustainable and smart supply chains. This book offers a wealth of groundbreaking insights from renowned scholars and field experts. It serves as a theoretical and conceptual foundation for environmental researchers seeking a business, policy, or industry perspective. By addressing the key issues at the intersection of operations management and environmental and social responsibility, the book presents a novel approach to mitigating negative impacts and aligning logistics with sustainability and digitalization requirements. Structured in a modular format, this book allows readers to explore specific current topics relevant to their interests. It covers a wide range of subjects, such as measuring environmental impacts, transforming supply chains to meet sustainability challenges, business models for sustainable logistics, and integrative business strategies. Furthermore, the book addresses emerging technologies like big data analytics, artificial intelligence, and the Internet of Things (IoT), exploring their applications in supply chain management.

Sustainable and intelligent territorial marketing and entrepreneurship represent a transformative approach to economic growth while preserving historical and environmental integrity, ensuring community well-being. By integrating innovative marketing strategies with sustainable practices, territories can effectively promote their unique attributes, such as natural resources, cultural heritage, or technological hubs, attracting new investors, business owners, and entrepreneurs. This framework addresses the challenges of urbanization and environmental degradation while empowering local entrepreneurs to thrive. Further exploration into these techniques may assist local economies in prioritizing long-term sustainability and social equity, redefining entrepreneurial success. Sustainable and Intelligent Territorial Marketing and Entrepreneurship explores sustainable development strategies and intelligent technologies for territorial marketing and entrepreneurship techniques. It examines additionally the effectiveness of smart technology when integrated into the hospitality and tourism sectors. This book covers topics such as smart cities, digital technology, and customer engagement, and is a useful resource for entrepreneurs, marketing professionals, business owners, environmental scientists, computer engineers, academicians, and researchers.

Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances – such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency. Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence. This book focuses on addressing problems in advanced topics in the sustainable supply chain, and will appeal to practitioners, managers, researchers, academicians, students, and professionals interested in sustainable logistics, sustainable procurement, sustainable manufacturing, sustainable inventory and production management, sustainable scheduling, sustainable transportation, and sustainable network design. - Serves as a reference on computational intelligence–enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and business - Explores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence - Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques

In the world of contemporary marketing, a challenge exists — the relationship between data engineering, artificial intelligence, and the essential elements of effective marketing. Businesses find themselves at a crossroads, grappling with the imperative to navigate this complex landscape. This challenge serves as the backdrop for the exploration in AI and Data Engineering Solutions for Effective Marketing, a comprehensive reference tailored for academic scholars. Seamlessly integrating theoretical models with real-world applications, the book delves into critical facets of strategic and operational marketing. From the adoption of data science techniques to grappling with big data's vast potential, it offers a guide for academics seeking profound insights into the future of marketing strategies and their efficient execution. Designed for researchers, practitioners, and students with an interest in the intersection of artificial intelligence, data engineering, and marketing, this book serves as a guide for implementing new marketing management solutions and optimizing their operational efficiency. While the primary audience is researchers and practitioners in the field, the book is also tailored to benefit students seeking a deep understanding of the latest developments in marketing.

In the tumultuous period of Industrial Revolution 5.0, a pressing challenge confronts our global community: exploring the intricate interplay between technology, education, and renewable energy. As we stand at the cusp of transformative change, the relentless pace of technological evolution, coupled with the imperative to foster sustainable practices, demands a profound understanding of the synergies and challenges inherent in this dynamic landscape. Utilizing Renewable Energy, Technology, and Education for Industry 5.0 emerges as a compelling solution, offering a comprehensive guide tailored for academic scholars seeking clarity amidst the complexities of this revolutionary wave. The rapid convergence of technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and automation, alongside the critical need for renewable energy integration and a paradigm shift in education, presents a multifaceted challenge. Industry leaders grapple with the transformation of processes, educators seek to align curricula with the demands of Industry 5.0, and environmental advocates strive for sustainable solutions. This intricate dance of innovation, education reform, and environmental consciousness requires a comprehensive approach to unraveling complexities, fostering collaboration, and navigating ethical considerations.

In academic research, qualitative analysis is a pillar for understanding complex phenomena in science and management. However, researchers and practitioners often face challenges navigating the ever-evolving landscape of qualitative methodologies and their integration into empirical projects. This knowledge gap can hinder the practical application of qualitative approaches, leading to suboptimal research outcomes and missed opportunities for insightful discoveries. Applying Qualitative Research Methods to Management Science serves as a beacon for researchers, practitioners, and students, providing a detailed roadmap to navigate the intricacies of qualitative analysis. Each chapter, authored by esteemed experts in the field, delves into specific qualitative themes and methodologies, offering practical insights and theoretical foundations based on the latest academic research. This book empowers readers to conduct rigorous and impactful qualitative research in diverse contexts by bridging the gap between theory and application.

As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.

This book reports on cutting-edge research and developments focusing on integrating intelligent functionalities into materials, components, systems and products. Gathering the proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), held on September 7-9, in Genova, Italy, it offers a comprehensive, multidisciplinary and applied perspective on the state-of-the art and challenges in the field of intelligent, flexible and connected systems. The book covers advanced methods and applications relating to artificial, pervasive and ubiquitous intelligence, sensors, smart factory and logistics, structural health monitoring, as well as soft robotics, cognitive systems and human-machine interaction. Giving a special focus to artificial intelligence, it extensively reports on methods and algorithms for data-driven modeling, and agent-based data processing and planning. It aims at inspiring and fostering collaboration between researchers and professionals from the different fields of electrical, manufacturing and production engineering, and materials and computer sciences.

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.

The quest for attractiveness and sustainability is a pressing concern for territories in the 21st century. Cities, regions, and local communities must rethink their management and development strategies to address complex environmental, social, and economic challenges. "Territorial Smart Management" has emerged as an innovative approach that leverages technologies like artificial intelligence, the Internet of Things, and blockchain to create more efficient, attractive, and sustainable territories. Understanding how these technologies can transform territorial management, optimize resources, and foster collaboration to tackle contemporary challenges like urbanization, climate change, and competitiveness is essential for modern planning. Utilizing Technology to Manage Territories provides practical tools, case studies, and best practices for applying smart management solutions to improve operational efficiency and socio-economic inclusion. This volume offers valuable insights for those seeking to navigate the future of smart and sustainable territorial management, making it an essential resource for researchers, policymakers, consultants, technology developers, and students.