Anurag Singh - Böcker

Business Intelligence (BI) is a solution to modern business problems.This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students.

Business Intelligence (BI) is a solution to modern business problems.This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students.

This volume presents a pragmatic approach to understanding and capitalizing on contemporary m-commerce trend. It comprehensively encapsulates the evolution, emergent trends, hindrances and challenges, and customer perceptions about various facets of how physical and online retail channels are merging, blurring, and influencing each other in new ways. The rapid rise of m-commerce (or mobile commerce) has led to the emergence of new paradigms in the marketplace. The difference between physical and digital retail is diminishing, and a new “phygital retail” phenomenon is on the rise. Marketers need to understand this emerging paradigm and consider the new opportunities and challenges involved. This volume, M-Commerce: Experiencing the Phygital Retail, provides a comprehensive discussion of the contemporary m-commerce concepts along with the emerging paradigms in a pragmatic way. It presents empirical analyses and reviews on the myriad aspects of m-commerce, including both contemporary academic and business research.

This volume presents a pragmatic approach to understanding and capitalizing on contemporary m-commerce trend. It comprehensively encapsulates the evolution, emergent trends, hindrances and challenges, and customer perceptions about various facets of how physical and online retail channels are merging, blurring, and influencing each other in new ways. The rapid rise of m-commerce (or mobile commerce) has led to the emergence of new paradigms in the marketplace. The difference between physical and digital retail is diminishing, and a new “phygital retail” phenomenon is on the rise. Marketers need to understand this emerging paradigm and consider the new opportunities and challenges involved. This volume, M-Commerce: Experiencing the Phygital Retail, provides a comprehensive discussion of the contemporary m-commerce concepts along with the emerging paradigms in a pragmatic way. It presents empirical analyses and reviews on the myriad aspects of m-commerce, including both contemporary academic and business research.

The primary objective of this publication is to provide an in-depth exploration and examination of the diverse green processing strategies that are currently available. To achieve this, the book has been organized into distinct segments that cover five sub-themes, namely, green technologies in food production, post-harvest management and value addition for sustainable value chains, eco-friendly techniques in food packaging, waste management, and valorization. The first section of the book is dedicated to providing an understanding of various green technologies, with a specific focus on non-thermal processing technologies. The second section delves into the discussion of waste valorization technologies, while the third section provides a comprehensive overview of post-harvest management and value addition. The final section addresses the concerns of various stakeholders in the food value chain and also covers a few topics related to eco-friendly techniques. The editors of this book hope that readers will gain a comprehensive understanding of all the relevant topics and technologies related to green perspectives in the food processing sector. This publication is a valuable resource for food engineers, food scientists, food technologists, academia, and anyone else who is interested in learning more about green processing strategies in the food industry.

This book presents the select proceedings of the 4th Biennial International Conference on Future Learning Aspects for Mechanical Engineering (FLAME 2024). It covers the applications of machine learning (ML) and artificial intelligence (AI) in the development of smart systems, with a particular focus on engineering and healthcare applications. It provides a comprehensive overview of state-of-the-art techniques, methodologies, and practical implementations of ML and AI to address complex problems in these domains. The book covers theoretical foundations, recent advancements, and case studies demonstrating the impact of smart systems on improving efficiency, accuracy, and overall performance in engineering and healthcare and many other multidisciplinary fields of mechanical engineering. This book will be useful for scientists, engineers, researchers and professionals working in the allied fields of machine learning and artificial intelligence.