Introducing Hr Analytics With Machine Learning

This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR. This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy.

How can HR practitioners with little or no experience of analytics feel confident in their ability to find, analyse and use workforce data to make better business decisions? This book has the answers. An understanding of people analytics is a crucial skill for all HR professionals. This new edition provides expert guidance on the key aspects of analytics, enabling all HR professionals to feel confident in their ability to handle employee and organizational data. It features new material on applying data to respond to external disruption such as COVID-19 as well as how to develop a people analytics journey. There is also advice on recruiting people analytics specialists and embedding new data-driven operating models within HR. This book is essential reading for all HR professionals to develop understanding of how and where HR analytics can make a tangible difference to organizations. With updated case studies and thought leadership examples from companies including NHS, AstraZeneca and Swarovski, this book demonstrates how people analytics can be leveraged to improve culture and employee engagement, increase performance and reduce costs.

Technology can have huge benefits for the HR function. Whether it's saving time by streamlining processes, boosting engagement by enabling analysis of people data or improving employee development by allowing staff to access the content they need on different platforms, wherever and whenever they need it; the opportunities are vast. However, with more apps, software and platforms than ever before, the volume and variety of available technologies can be overwhelming. This makes it extremely difficult for HR professionals to know where to start when assessing what technologies are out there and which are worth investing in. Introduction to HR Technologies addresses these issues in clear, accessible and jargon-free language and is an indispensable guide for HR professionals needing to get to grips with technologies and understand how to use them to add tangible business value. Covering all the core areas of HR including recruitment, performance management, learning and development (L&D) and reward, Introduction to HR Technologies allows practitioners to identify areas where technologies can be used to drive performance and what to look for when assessing technological solutions. There is also discussion of artificial intelligence (AI), machine learning and the Internet of Things (IoT) and what they mean for HR. This book is essential reading for all HR professionals looking to use technology confidently to increase performance, improve processes and add value to both employees and the business as a whole.

Providing practical, hands-on approaches to connect data to HR policies and practices to help influence overall business performance, this book is an essential resource for aspiring, new and experienced HR professionals across a wide range of industrial contexts.

This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.

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.

Winner of the 2020 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA) Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significant competitive advantage. Human Resource Management: People, Data, and Analytics introduces students to the fundamentals of talent management with integrated coverage of data analytics. Features tied to SHRM competencies and data exercises give students hands-on opportunities to practice the analytical and decision-making skills they need to excel in today’s job market. Engaging examples illustrate key HRM concepts and theories, which brings many traditional HRM topics to life. Whether your students are future managers or future HR professionals, they will learn best practices for managing talent in the changing workplace. A Complete Teaching & Learning Package SAGE Premium Video Included in the Interactive eBook! SAGE Premium Video tools and resources boost comprehension and bolster analysis. Videos featured include Inside HR interviews where students can hear how real companies are using HR to gain competitive advantage, as well as SHRM and TedTalk videos. Interactive eBook Includes access to SAGE Premium Video, multimedia tools, and much more! Save when you bundle the interactive eBook with the print version. Order using bundle ISBN: 978-1-5443-6572-5. SAGE coursepacks FREE! Easily import our quality instructor and student resource content into your school’s learning management system (LMS) and save time. SAGE edge FREE online resources for students that make learning easier.

How to attract, retain, develop, and engage people for a changing world of work Shifting demographics combined with the digitalization of all aspects of life are transforming the nature of work. This is forcing companies to rethink how they design jobs and recruit, develop, and engage employees. In Talent Tectonics: Navigating Global Workforce Shifts, Building Resilient Organizations, and Reimagining the Employee Experience, Dr. Steven Hunt explains how technology is changing the purpose of work and why creating effective employee experiences is critical to building organizations that can thrive in a world of accelerating change and growing skill shortages. In the book, you’ll find insights from the perspective of a person who has worked with thousands of companies around the globe using technology to build effective workforces. The book explores how business strategy, organizational psychology, and work technology interact to create nimble companies. The book discusses the future, but its focus is on the present, identifying things companies can do now to attract critical talent and create resilient organizations including: How to manage different types of employee experiences to create engaged and adaptable workforces How technology can enable large organizations to act more like small, agile, entrepreneurial companies. Rethinking employee recruitment, development, and engagement to create supportive, inclusive, and resilient organizational cultures Perfect for human resources professionals, employee experience managers, and business leaders responsible for building effective workforces, Talent Tectonics belongs in the libraries of every leader, employee, and professional invested in ensuring that their organization can attract, retain, and develop the talent needed to achieve its strategic goals.