Where other functions of an organization deal in profits, sales growth, forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and motivation. Such concerns do not immediately conjure up images of analytical know-how, despite the fact that in reality the management of such things often requires a lot of measurement and technical skill. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking HR professionals through examples of particular predictive models so they can develop effective HR strategies based on evidence. Predictive HR Analytics will show step-by-step, using simple terms, how to carry out analysis (using the statistical package SPSS) and interpret the results, helping to communicate the potential of HR analytics and get the most out of the HR function, whether carrying out the analysis or briefing external consultants. The book will help deliver a credible and reliable service to businesses by providing metrics on which executives will be able to make sound business decisions. Online supporting resources include data sets for using alongside the book.

HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies. This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.

Using Fitz-enz’s proprietary analytic model, you will be equipped to measure and evaluate past and current returns and apply the information to make predictions about the future value of human capital investments. In his landmark book, The ROI of Human Capital, Jac Fitz-enz presented a system of powerful metrics for quantifying the contributions of individual employees to a company’s bottom line. Now, in The New HR Analytics, he reveals how human resources professionals can apply this expense-based knowledge to make the most strategic staffing decisions for their companies. You’ll learn how to: evaluate and prioritize the skills needed to sustain performance; build an agile workforce through flexible Capability Planning; determine how the organization can stimulate and reward behaviors that matter; apply a proven succession planning strategy that leverages employee engagement and drives top-line revenue growth; and recognize risks and formulate responses that avoid surprises. Brimming with real-world examples and input from thirty top HR practitioners and thought leaders as well as exclusive analytical tools, The New HR Analytics ushers in a new era in human resources and human capital management.

This book provides a comprehensive overview of various aspects of HR analytics. It delves into important definitions, the significance of HR analytics, methods of data collection and management, as well as specific areas such as recruitment analytics, performance management analytics, employee engagement analytics, and diversity, equity and inclusion (DEI) analytics. The book also explores ethical considerations, implementation strategies, and the role of HR analytics in workforce planning, succession planning, and employee wellness. Additionally, it discusses monitoring the impact of interventions and offers insights into the future of HR analytics. Besides, it offers a range of practical tools and templates for various applications. KEY FEATURES • Comprehensive coverage: Covers a wide range of topics related to HR analytics from the basics to more specialized areas. • Diverse tools and techniques: Includes discussions on various data analysis techniques, such as predictive analytics, machine learning, and statistical modelling. • Practical templates and forms: Inclusion of templates and forms, such as employee attitude surveys and KPI dashboards, make this book more hands-on and practical. • Ethical and legal considerations: Focusses on ethics and compliance/legal considerations for the evolving landscape of HR analytics. • Future-oriented content: Discusses on the future of HR analytics and emerging trends is a dimension of forward-looking. • Agile HR analytics: Includes Agile HR Analytics as an emerging trend. • Staying updated: Acknowledges the importance of staying updated on HR analytics trends. • Clarity and accessibility: Presents a clear, accessible, and engaging text making the book reader-friendly. • The book primarily intended to the students of business schools is equally valuable to the professionals in the field. For instructor’s resources, visit https://www.phindia.com/HR_ analytics_deepa_mukul_partha TARGET AUDIENCE • MBA — HR • Data Analytics and HR Professionals

The book then guides you through various analytical techniques, starting with "Descriptive Analytics in HR", where you learn to perform basic statistical analysis and data interpretation. "Performance Metrics" provides insights into structuring and applying performance metrics effectively, while "Compensation and HR Analytics" delves into creating comprehensive compensation frameworks and policies. For those interested in more advanced topics, chapters like "Diagnostic Analytics in HR", "Predictive Analytics in HR", and "Prescriptive Analytics in HR" cover everything from regression analysis to predictive modelling and strategic planning using Excel. We also explore "Advanced Excel Functions for HR Analytics" for more seasoned Excel users, aiming to automate and enhance their data analysis. The book does not stop at analytics within Excel; "Integrating Excel with Other HR Systems" provides valuable insights into how Excel can interact with various HRIS and other tools, emphasizing the importance of integration in modern HR practices.

Armstrong's Handbook of Human Resource Management Practice is the bestselling and definitive resource for HRM students and professionals, which helps readers to understand and implement HR in relation to the needs of the business. This book covers in-depth all of the areas essential to the HR function such as employment law, employee relations, learning and development, performance management and reward, as well as the HR skills needed to ensure professional success, including leadership, managing conflict, interviewing and using statistics. Illustrated throughout in full colour and with a range of pedagogical features to consolidate learning (e.g. source review boxes, key learning points, summaries and case studies from international organizations such as IBM, HSBC and Johnson and Johnson), this fully updated 15th edition includes new chapters on the HRM role of line managers, evidence-based HRM, e-HRM and the gender pay gap, further case studies and updated content covering the latest research and developments. Armstrong's Handbook of Human Resource Management Practice is aligned with the Chartered Institute of Personnel and Development (CIPD) profession map and standards and is suited to both professionals and students of both undergraduate degrees and the CIPD's level 5 and 7 professional qualifications. Online supporting resources include comprehensive handbooks for lecturers and students, lecture slides, all figures and tables, toolkits, and a literature review, glossary and bibliography.

Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today.

This is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data. The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques. Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.

This book offers an in-depth look at Industry 4.0’s applications and provides a conceptual framework for design principles and easy implementation. The book touches on the impact of Industry 4.0 and also examines the key technological advances and potential economic and technical benefits through case studies featuring real-world implementations. Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications discusses the impact of Industry 4.0 and workforce transformation. The book examines the key technological advances that support Industry 4.0 and examines their potential economic and technical benefits through case studies. It covers the connection Industrial 4.0 has with IT and communication technologies and demonstrates the technological advancements and how to use their benefits towards and through examples of real-world applications. This book offers a conceptual framework and road map for those making decisions as they go through the next stage of transformation. This book mainly targets academicians, professionals, business professionals, start-up companies, and researchers at undergraduate, postgraduate, and doctoral levels.