This book is a collection of the up-to-date experience and knowledge about the implementation of sustainable business excellence in a particular context of SMEs. The book uses empirical and practical approach to tackle this issue, which is underdeveloped in the literature. Hence, it could constitute a relevant reference for SMEs managers seeking to manage their operations sustainably, efficiently and resiliently. The book also integrates the smart component to the sustainable business excellence and proves for those who are still skeptical that SMEs could benefit from smart and digital technology in the favor of sustainability and business excellence. Overall, we build on successful initiatives we experienced in real life to guide SMEs in order to be sustainable smart and resilient in the post COVID context which is highly demanding in terms of business excellence and efficiency.
This book has been classified into ten modules which cover the complete syllabus of the Law of Evidence prescribed by Bar Council of India for all Universities. This book is a humble and straight attempt to sketch the various aspects of the evidence in judicial proceedings. We believe that students should acquire enhancing skills of theory as well as practical aspect of the subject. Therefore, examples and important case laws are coupled with the text so that reader can easily understand the topic. We assure that it will go a long way in achieving the goals that have been set by the universities in India. This book will make it possible for all aspiring students to learn. We hope that the students and legal practitioners, academicians, will derive the benefits from this book. We are expecting valuable suggestions for improvement from our dear students, academicians and practicing lawyers which will be useful for the next edition.
This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities and challenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter. This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising from the integration of digital transformation and AI in society.
The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements, supply chain and logistics, system optimization, decision-making, artificial intelligence, smart systems, and other rapidly evolving technologies. In today’s competitive world, the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems.
This book is a collection of the up-to-date experience and knowledge about the implementation of sustainable business excellence in a particular context of SMEs. The book uses empirical and practical approach to tackle this issue, which is underdeveloped in the literature. Hence, it could constitute a relevant reference for SMEs managers seeking to manage their operations sustainably, efficiently and resiliently. The book also integrates the smart component to the sustainable business excellence and proves for those who are still skeptical that SMEs could benefit from smart and digital technology in the favor of sustainability and business excellence. Overall, we build on successful initiatives we experienced in real life to guide SMEs in order to be sustainable smart and resilient in the post COVID context which is highly demanding in terms of business excellence and efficiency.
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