Analysing Trends And Patterns In Employee Engagement Through Ai
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Analysing Trends and Patterns in Employee Engagement Through AI
This book explores the concept of employee engagement, which is crucial for a company's success, as it is closely linked to job satisfaction and employee morale. Engaged workers tend to be more productive, efficient, and committed to the values and objectives of the company. Artificial intelligence plays a significant role in HR analytics, particularly in automating tedious tasks like data collection and organization from multiple sources. AI-driven employee engagement software can analyze employee feedback, surveys, and social media posts to capture the overall sentiment of the workforce. This allows HR teams to gain insights into employee experiences and perceptions, uncover areas for improvement, and address any issues that require attention. By leveraging past data and employing machine learning algorithms, AI enables HR professionals to predict turnover rates, forecast employee engagement levels, and identify potential flight risks.
AI and Innovation in HRM
Author: Pushan Kumar Dutta
language: en
Publisher: Taylor & Francis
Release Date: 2025-08-13
This book provides a comprehensive blueprint for organizations to strategically leverage AI technologies and drive innovation in their HRM practices, enabling them to cultivate a future-ready workforce that can thrive in the service-centric marketplace. It weighs in on the challenges and opportunities brought forth by the convergence of AI and HRM in a rapidly evolving service economy. Drawing insights from management theory, organizational psychology, and technology studies, this multidisciplinary book explores how AI can augment and elevate various facets of strategic HRM, from talent acquisition and employee development to performance management and organizational culture enhancement. It offers a future-focused perspective on HRM's evolving role in shaping the workplace of tomorrow, emphasizing the pivotal role of AI in fostering organizational agility, innovation, and competitiveness. The international contributors delve into the unique challenges and opportunities presented by AI integration in service industry contexts, providing tailored strategies and best practices for effective adoption, as well as addressing ethical considerations and responsible governance of AI systems. This timely volume will be a valuable resource for scholars across human resource management, organizational management, and innovation and technology management. It will be useful to HR professionals, business leaders, and decision-makers in service-based organizations.
Artificial Intelligence in Business
Author: Pavankumar Gurazada & Seema Gupta
language: en
Publisher: Vikas Publishing House
Release Date:
Artificial Intelligence in Business is transforming the way organizations operate—driving innovation, increasing efficiency, and enabling smarter, data-driven decision making. Yet for many professionals and students, the gap between complex technical concepts and practical business applications can feel overwhelming. This book bridges that gap with clarity, relevance, and purpose. Designed for MBA students, business leaders, and aspiring AI practitioners, Artificial Intelligence in Business cuts through the hype to provide a grounded, accessible, and actionable guide to real world AI. From foundational principles like machine learning and deep learning to advanced applications in marketing, finance, supply chain, and HR, each chapter offers practical insights supported by real-world use cases and code implementations. Whether you're aiming to enhance customer engagement, streamline operations, or manage risk more effectively, this book equips you with the knowledge and tools to apply AI strategically in a business context.