Cases On Enhancing Business Sustainability Through Knowledge Management Systems

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.

In a changing and complex environment currently facing the main challenges of sustainable development, effective management of knowledge, intellectual assets, organizational learning, and talent management are the basis for social innovation and new ways of competition. In this sense, management and business practice are incorporating social and environmental demands made by all types of stakeholders to improve business decisions and strategies. Knowledge Management for Corporate Social Responsibility provides research exploring the theoretical and practical aspects of linking firm profitability, social development, and natural environment in respect to business management practices. Featuring coverage on a broad range of topics such as employer branding, intellectual capital, and organizational performance, this book is ideally designed for business professionals, small business owners, entrepreneurs, academicians, researchers, and business students.

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.

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 the years following the global Covid-19 pandemic, existing issues in global supply chains became exacerbated, bringing attention to the need for advancement and innovation to solve the complex problems. We live in an era characterized by relentless technological advancements, global interconnectedness, and evolving consumer demands, and the supply chain management landscape is being forced to undergo profound transformations. Strategic Innovations for Dynamic Supply Chains offers a comprehensive exploration of the paradigm shifts, emerging trends, and groundbreaking strategies shaping the future of supply chain dynamics. Ideal for professionals, academics, and decision-makers navigating the complexities of contemporary supply chain management, the collaborative effort behind this book combines the insights of leading experts, industry visionaries, and innovative thinkers to unravel the complexities of modern supply chain ecosystems and provide a roadmap for organizations seeking to thrive in constant change. It emphasizes the importance of sustainability and responsiveness, and provides strategic frameworks for decision-makers.

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.

Academic scholars find themselves confronted with a formidable challenge: staying abreast of the ever-evolving landscape of Artificial Intelligence(AI). The intricate interplay between AI and its profound impact on various facets of society, including customer engagement, remains an enigma for many. This knowledge gap not only hampers their ability to contribute meaningfully to their fields but also leaves them trailing behind the dynamic developments taking place in industries worldwide. As AI continues to reshape the business environment, it becomes imperative for academia to bridge this chasm between theory and practice. Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement is an effective solution to the pressing problem at hand. With meticulous clarity, it unravels the complexities of ChatGPT, an innovative AI technology, and its revolutionary potential in the realm of customer engagement. It offers a lifeline to academic scholars seeking to navigate the uncharted territory of AI, providing them with an in-depth understanding of how ChatGPT can reshape customer interactions.