"This book will present teaching case studies exploring the formulating and implementing of knowledge management systems (KMS) in organizations, framed by the changes and the model mentioned above; and by deficiencies of teaching cases that I (and others) observed while teaching KM classes at the advanced undergraduate and graduate levels"--

Artificial intelligence (AI) is becoming a reality for pioneering organizations while they are facing complex and multifaceted aspects of business sustainability with ambiguous and changing ethical norms and vague or nonexistent legislation. The first quarter of the 21st century was identified as the beginning of the continuous, ongoing, and accelerating wave of simultaneous general purpose technologies revolutions causing accelerated shrinkage of the half-life of knowledge. Cases on Enhancing Business Sustainability Through Knowledge Management Systems presents teaching case studies exploring the formulation and implementation of knowledge management systems (KMS) in organizations. Covering topics such as automation, machine learning, and socio-ecological innovation, this case book is an essential resource for business leaders and managers, IT managers, entrepreneurs, government officials, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

As the interplay of environmental, social, and governance factors becomes increasingly crucial, the global business landscape faces a monumental challenge. Climate change, social inequities, and economic uncertainties loom large, demanding immediate attention. The integration of Environmental Social Governance (ESG) principles and Artificial Intelligence (AI) technologies emerges as a powerful solution to these challenges. However, navigating the complexities of this integration, understanding its implications, and harnessing its full potential is a formidable task. Academic scholars, policymakers, and practitioners are grappling with a critical question: How can we leverage the convergence of ESG and AI to drive sustainable practices and address pressing global issues? The answer lies in comprehending the multifaceted dimensions of this integration, its ethical considerations, and its transformative potential. To gain these insights, a comprehensive resource is needed, one that offers a deep dive into ESG-AI integration, delving into empirical research, practical applications, and ethical concerns.Intersecting Environmental Social Governance and AI for Business Sustainability is a book that answers the call to action for this pressing challenge with an in-depth exploration of the evolving field of ESG and AI integration.

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.

The world is hyperlinked, globalized, commercial, and innovative, yet it has never reached the pinnacle of progress and interconnection that mankind is capable of. The role of an efficient logistics system in realizing goals of sustainable development has never been more vital. Streamlined logistics can reduce carbon emissions, optimize resource use, and ensure that goods and services are delivered in a manner that supports both economic growth and environmental preservation. By enhancing supply chain efficiency and integrating green technologies, we can achieve a more sustainable and interconnected future, where progress does not come at the expense of the planet. Effective Logistics for Sustainable Development Goals educates, empowers, and inspires stakeholders to leverage effective logistics practices in pursuit of sustainable development goals (SDGs). By providing comprehensive insights, practical guidance, and showcasing success stories, this book illuminates the intricate relationship between logistics and economic advances and social and environmental sustainability. Through promoting an integrated approach to logistics management and fostering collaboration among diverse stakeholders, the book serves as a catalyst for positive change, equipping readers with the knowledge and tools necessary to drive meaningful progress towards a more equitable, resilient, and prosperous future for all. Covering topics such as supply chain management, responsible consumption and production, and electronic logistics, this book is a valuable resource for supply chain professionals, business leaders and entrepreneurs, government officials and policy makers, academicians and researchers, and more.

Modern business dynamics are an intricate and strategic landscape that underpins organizational triumphs despite today’s turbulent market. Those fervently exploring the symbiosis of theory and reality within the strategic realm of contemporary strategic management require a solid understanding of the concept, and they can now enhance this journey with Trends, Challenges, and Practices in Contemporary Strategic Management. This seminal work unfurls a tapestry of erudition, guiding its readers through the corridors of contemporary strategic management. Targeting a diverse readership encompassing academicians, researchers, students, and industry leaders, the book’s scope is as expansive as its subject matter. For scholars and researchers, its pages unfold a treasure trove of contemporary strategic management theories, their evolution, and cutting-edge practices. Practitioners entrusted with steering strategic compasses will glean a pragmatic arsenal of insights and best practices, their leadership acumen fortified to navigate the most tempestuous waters of organizational strategy. Covering from disruptive innovation and strategic leadership in a digital epoch to sustainability, global strategy, and the pivotal role of artificial intelligence in shaping strategies, this book mirrors the ever-evolving cadence of contemporary strategic management.

In today's rapidly evolving technological and economic landscape, organizations face the crucial problem of how to optimize their production processes and services to meet the demands of the digital age. The solution lies in technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), Blockchain, and virtual environments, which offer the potential to automate, accelerate, and improve processes, thereby boosting productivity while also reducing costs. Implementing these technologies requires a dynamic understanding of their capabilities, and many organizational leaders struggle to adapt them to specific organizational contexts without a complete knowledge of the tools at their disposal. The book, edited by Professor Marisol Hernández Hernández, Streamlining Organizational Processes Through AI, IoT, Blockchain, and Virtual Environments, offers a comprehensive solution to the problem of effective implementation of these technologies into existing organizational processes. Drawing on her extensive experience in information technology, software engineering, and fuzzy logic, she provides a roadmap for organizations seeking to optimize their processes and services through the latest emerging technologies. This book is ideal for professionals and researchers who want to stay ahead of the curve in the digital age, and who need practical guidance on how to implement these technologies in their organizations. The book covers a range of topics, including AI, fuzzy logic, IoT, and embedded systems. It a significant contribution to the field of technology and innovation, providing a roadmap for organizations seeking to thrive in the digital age. It is a must-read for anyone interested in the optimization of industrial or service processes and will be of particular interest to executives and students searching for innovative solutions to organizational challenges.