This proceedings book is divided in 2 Volumes and 8 Parts. Part I is dedicated to Decision Support System, which is about the information system that supports business or organizational decision-making activities; Part II is on Computing Methodology, which is always used to provide the most effective algorithm for numerical solutions of various modeling problems; Part III presents Information Technology, which is the application of computers to store, study, retrieve, transmit and manipulate data, or information in the context of a business or other enterprise; Part IV is dedicated to Data Analysis, which is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making; Part V presents papers on Operational Management, which is about the plan, organization, implementation and control of the operation process; Part VI is on Project Management, which is about the initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria at the specified time in the field of engineering; Part VII presents Green Supply Chain, which is about the management of the flow of goods and services based on the concept of “low-carbon”; Part VIII is focused on Industry Strategy Management, which refers to the decision-making and management art of an industry or organization in a long-term and long-term development direction, objectives, tasks and policies, as well as resource allocation.

This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences. Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.

This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm. Part VI is Data Security, which is a particularly important aspect in the modern management environment.

This book provides a comprehensive overview of current renewable energy technologies and their basic principles. It also addresses the financial aspects of renewable energy projects and analyzes their profitability, covering the most relevant topics for engineers, economists, managers and scientists who are actively involved in renewable energy research and management. The authors are professionals and researchers who are active in the industry, and supplement the main content with revealing case studies and best-practice examples.

This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence

“There is an energizing boldness in this synthesis: the right big-picture questions aligning all the way down to the right complexities on the ground, and across the diverse territories that comprise contemporary Borneo. A manifesto for the kinds of cross-sectoral and applied research that can make the difference to the future of Borneo.” Cynthia Ong, Chief Executive Facilitator, Forever Sabah “A surgical and timely compendium on the transformation of Borneo’s forests and land use with clear regional implications. If you care about the future of conservation in this part of the world, you will find all the key ingredients here for its salvation.” Gopalasamy Reuben Clements, Professor at Sunway University, Co-founder of Nature-Based Solutions “A perspective about balancing the future amidst the need for economic and social development while providing a better and more sustainable Borneo. It is something that you will need to help drive home change and make a sustainable impact for people and planet without compromising profit.” Timothy Ong, Head of Circular Bio-economy Unit, Malaysian Investment Development Authority (MIDA)

Understanding Procrastination at Work focuses primarily on procrastination in the workplace, and offers a synthetic and comprehensive review of major theoretical concepts and empirical findings on general procrastination and its specific manifestations, causes, and consequences in the workplace. Building on theoretical insights and empirical research, the monograph proposes and empirically verifies an expanded conceptual framework that integrates individual and work-related factors that contribute to work procrastination and mechanisms explaining this phenomenon. It sits at the intersection of two disciplines, integrating psychological and management knowledge so that a wider audience may benefit from its content. It thus sheds more light on sources and explanatory mechanisms underlying procrastination as a universal behavior in the work setting, with meaningful implications for individuals and organizations alike. Overall, the monograph can serve as a contemporary compendium of knowledge that enables the scientific community and organizational practitioners to better understand procrastination behavior and its implications in professional settings. From the theoretical and empirical perspectives, the monograph provides practical cues to develop prevention and intervention strategies to effectively address and manage procrastination and enhance employee productivity in the organization.