P. K. Kapur

Gurinder Singh

Uday Kumar

Yury S. Klochkov

This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few. It also highlights integrated methods and practices in the areas of machine learning and genetic algorithms. After discussing applications in supply chains and logistics, cloud computing, six sigma, production management, big data analysis, satellite imaging, game theory, biometric systems, quality, and system performance, the book examines the latest developments and breakthroughs in the field of science and technology, and provides novel problem-solving methods. The themes discussed in the book link contributions by researchers and practitioners from different branches of engineering and management, and hailing from around the globe. These contributions provide scholars with a platform to derive maximum utility in the area of analytics by subscribing to the idea of managing business through system sciences, operations, and management. Managers and decision-makers can learn a great deal from the respective chapters, which will help them devise their own business strategies and find real-world solutions to complex industrial problems.

Decision Analytics Applications in Industry

Hardeep Singh Dhanny

Vikas Garg

Silky Sharma

This new volume familiarizes readers with the very relevant concepts of human resources and finance in Industry 4.0. The book looks at the adoption of current fast-moving computers and automation in the workplace and its impact on the financial aspects of human resources and how HR can be enhanced with smart and autonomous systems fueled by data and machine learning. The chapters offer case studies that provide firsthand knowledge of real-life problems, solutions, and situations faced by the industry. The volume highlights the thought process in resolution of the complex problems. Topics include HR management approaches, global HR challenges, behavioral finance for financial acumen, corporate social responsibility, women empowerment in the HR industry, emotional intelligence in the era of Industry 4.0, and more.

New Directions and Applications for Industry 4.0

Financial Intelligence in Human Resources Management

Ajit Kumar Verma

Yury Klochkov

This book shares key insights into system performance and management analytics, demonstrating how the field of analytics is currently changing and how it is used to monitor companies’ efforts to drive performance.Managing business performance facilitates the effective accomplishment of strategic and operational goals, and there is a clear and direct correlation between using performance management applications and improved business and organizational results. As such, performance and management analytics can yield a range of direct and indirect benefits, boost operational efficiency and unlock employees’ latent potential, while at the same time aligning services with overarching goals.The book addresses a range of topics, including software reliability assessment, testing, quality management, system-performance management, analysis using soft-computing techniques, and management analytics. It presents a balanced, holistic approach to viewing the world from both a technical and managerial perspective by considering performance and management analytics. Accordingly, it offers a comprehensive guide to one of the most pressing issues in today’s technology-dominated world, namely, that most companies and organizations find themselves awash in a sea of data, but lack the human capital, appropriate tools and knowledge to use it to help them create a competitive edge.

System Performance and Management Analytics

Gurinder Singh

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