Manish Gupta – författare

This unique volume shows how to tackle the challenges of diversity in the workplace. It addresses the need to keep the workforce engaged while taking into consideration the diverse backgrounds of employees. The book explores 12 themes of workforce diversity and culture, including differences of race, religion, gender, sexuality, income class, education level, marital status, generation/age, physical ability, and more. Focusing on the benefits of engaging a diverse workforce, the volume considers the issue through the different stages of the human resource process, including recruitment, selection, performance appraisal, demand forecasting, supply forecasting, job description and specification, job analysis and evaluation, training and development, career planning and development, succession planning, etc.

Employing an abundance of case studies, the volume enables readers to comprehend what it means to have a diverse workforce and how to engage such a workforce for the betterment of the employees as well as the employer. The volume acts as a textbook for courses on diversity in human resource management as well as a valuable resource for HRM and other management professionals. The discussions and questions sections will be useful for faculty, and the short case studies are designed to keep students interested and engaged.

This unique volume shows how to tackle the challenges of diversity in the workplace. It addresses the need to keep the workforce engaged while taking into consideration the diverse backgrounds of employees. The book explores 12 themes of workforce diversity and culture, including differences of race, religion, gender, sexuality, income class, education level, marital status, generation/age, physical ability, and more. Focusing on the benefits of engaging a diverse workforce, the volume considers the issue through the different stages of the human resource process, including recruitment, selection, performance appraisal, demand forecasting, supply forecasting, job description and specification, job analysis and evaluation, training and development, career planning and development, succession planning, etc.

Employing an abundance of case studies, the volume enables readers to comprehend what it means to have a diverse workforce and how to engage such a workforce for the betterment of the employees as well as the employer. The volume acts as a textbook for courses on diversity in human resource management as well as a valuable resource for HRM and other management professionals. The discussions and questions sections will be useful for faculty, and the short case studies are designed to keep students interested and engaged.

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place.

The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place.

The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view. It presents the evolution and the importance of people analytics in today’s workforce management and highlights the motivation for studying business analytics, shows the different levels of analytic maturity and discusses real world success stories of business analytics in action through case studies. The volume provides the readers with a step-by-step guide to analyze HR data and interpret the results for strategy formulation. Each chapter of the book includes a vignette, data-driven exercises, and real-world case studies. The authors also introduce the readers to data visualization software Microsoft Power BI as well as elaborates on how to use Tableau Desktop.

This book would be useful to the students of human resource management, organizational behaviour, applied psychology, social work and sociology. It would also serve as very good handbook for practicing business executives helping them to implement data analytics for effective decision making in all kinds of business situations around the world.

This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view. It presents the evolution and the importance of people analytics in today’s workforce management and highlights the motivation for studying business analytics, shows the different levels of analytic maturity and discusses real world success stories of business analytics in action through case studies. The volume provides the readers with a step-by-step guide to analyze HR data and interpret the results for strategy formulation. Each chapter of the book includes a vignette, data-driven exercises, and real-world case studies. The authors also introduce the readers to data visualization software Microsoft Power BI as well as elaborates on how to use Tableau Desktop.

This book would be useful to the students of human resource management, organizational behaviour, applied psychology, social work and sociology. It would also serve as very good handbook for practicing business executives helping them to implement data analytics for effective decision making in all kinds of business situations around the world.