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Full Description
The contemporary business landscape is characterized by data-driven decision-making, the automation of routine tasks, and the quest for efficiency. In this context, robo-advisors—employing advanced artificial intelligence and machine learning systems—are becoming increasingly prevalent within HR departments, ushering in a new era of HR management. This new volume, Robo-Advisors and Artificial Intelligence in Human Resources Management: Revolutionizing HR, provides a comprehensive analysis of the relationship between technology and the concept of HRM and their impact on the nature of work in the future, focusing on how AI and robo-advisors help businesses with strategies to enhance efficiency, introduce new methods, and make the best use of employees in the rapidly growing business environment of today.
Presenting diverse viewpoints, insights, and case studies, the volume explains the concept of robo-advisors, or automation with the help of artificial intelligence, and offers an all-encompassing view of these technologies and how they can be effectively used in the HRM environment. This book delves into this transformative shift, shedding light on the profound changes that robo-advisors are bringing to the HR landscape and their implications for businesses, employees, and HR practitioners.
Topics address using robo-advisors in human resources for smart and efficient hiring processes and for recruitment marketing, for augmenting employee quality of work-life and well-being, for evaluating job satisfaction in connection with gender diversity in leadership, for enhancing employee engagement and improving organizational performance, for analyzing shifting consumer purchase intentions, for enhancing wealth and investment management skills and financial literacy, and more.
The volume provides a groundbreaking journey that offers insight into the potential and the challenges of integrating these innovative technologies into human resource management.
Contents
Foreword by Professor Raj Rajaram Preface Introduction 1. Transformative Talent Acquisition: Unleashing the Power of Robo-Advisors in HR for Smart and Efficient Hiring Processes 2. Robo-Advisors: Augmenting Quality of Work-Life and Employee Well-Being in Industry 5.0 3. The Impact of Gender Diversity in Leadership on Job Satisfaction Among Women Employees in Developing Economies 4. Empirical Study of Employee Engagement and Organizational Performance: HR Analytics Analysis 5. Optimizing Work Performance and Employee Behavior by Using Artificial Intelligence and Machine Learning in India 6. Artificial Intelligence as a Mediator in Recruitment Marketing 7. A Conceptual Analysis on HR Sustainability in the Age of Artificial Intelligence and Machine Learning 8. Optimizing Talent Acquisition: A Comprehensive Analysis of Recruitment and Selection Practices in the Manufacturing Industry 9. Digital Transformation in Wealth Management: Exploring How Robo-Advisors Moderate Behavioral Biases and Shape Investment Decisions 10. Optimizing Investor Confidence: Robo-Advisory Utilizing Open Interest and Options Volume for Precise Large Cap Stock Price Predictions 11. The Rise of Robo-Advisors and Shifting Consumer Purchase Intentions 12. Analyzing the Global Research Landscape of AI in Electronic Human Resources Management: A Bibliometric Approach 13. Robo-Advisors in Investment Management 14. The Transformative Impact of Robo-Advisors on Human Resource Management: A Comprehensive Analysis 15. AI and the Human Element in HR Management 16. Enhancing Robo-Advisor User Experience Through Financial Literacy and Apparent Trust
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