Introducing Hr Analytics With Machine Learning
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Introducing Hr Analytics With Machine Learning
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Author : Christopher M. Rosett
language : en
Publisher: Springer Nature
Release Date : 2021-06-14
Introducing Hr Analytics With Machine Learning written by Christopher M. Rosett and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-14 with Psychology categories.
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.
Introduction To Hr Technologies
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Author : Stacey Harris
language : en
Publisher: Kogan Page Publishers
Release Date : 2021-07-03
Introduction To Hr Technologies written by Stacey Harris and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-03 with Business & Economics categories.
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.
Introduction To People Analytics
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Author : Nadeem Khan
language : en
Publisher: Kogan Page Publishers
Release Date : 2023-07-03
Introduction To People Analytics written by Nadeem Khan and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Business & Economics categories.
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.
Handbook Of Research On Artificial Intelligence In Human Resource Management
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Author : Strohmeier, Stefan
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-03-08
Handbook Of Research On Artificial Intelligence In Human Resource Management written by Strohmeier, Stefan and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-08 with Business & Economics categories.
This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.
Predictive Analytics In Human Resource Management
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Author : Shivinder Nijjer
language : en
Publisher: Taylor & Francis
Release Date : 2020-12-03
Predictive Analytics In Human Resource Management written by Shivinder Nijjer and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with Business & Economics categories.
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.
Hr Analytics
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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-14
Hr Analytics written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-14 with Study Aids categories.
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.
Human Resource Analytics
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Author : Dr Abhishek Sharma
language : en
Publisher: JEC PUBLICATION
Release Date :
Human Resource Analytics written by Dr Abhishek Sharma and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Human Resource Analytics represents a transformative shift in how organizations approach their most valuable asset: their people. In an era where data-driven decision-making has become a cornerstone of strategic management, HR analytics emerges as a critical discipline that empowers organizations to leverage data and insights to enhance their human capital strategies. This book, "Human Resource Analytics," is designed to guide HR professionals, managers, and organizational leaders through the evolving landscape of HR analytics and its profound impact on organizational success. As the business environment becomes increasingly complex and competitive, the ability to harness and interpret data has become essential for achieving strategic goals and driving growth. Traditional HR practices, while foundational, often lack the precision and insight needed to address the dynamic needs of modern organizations. HR analytics offers a solution by transforming raw data into actionable insights that inform decision-making, optimize workforce management, and align HR practices with overall business objectives. This book aims to demystify the principles and applications of HR analytics, providing readers with a comprehensive understanding of how to leverage data to make informed decisions and drive positive outcomes. Throughout this book, we will explore the fundamental concepts of HR analytics, including the collection, analysis, and interpretation of data related to employee performance, compensation, benefits, and engagement. We will delve into various analytical techniques and tools that enable organizations to uncover trends, predict future workforce needs, and measure the effectiveness of HR initiatives. Case studies and real-world examples will illustrate how leading organizations have successfully implemented HR analytics to enhance their strategies and achieve measurable results. The journey begins with an introduction to the core principles of HR analytics, followed by a detailed exploration of key areas such as compensation and benefits analytics, employee engagement and retention, performance management, and learning and development analytics. Each chapter will provide practical insights and actionable strategies that can be applied within your organization to leverage data for improved decision-making and performance. In writing this book, our goal is not only to provide a theoretical foundation but also to offer practical guidance and best practices for implementing HR analytics in real-world settings. Whether you are new to the field of HR analytics or looking to deepen your expertise, this book will serve as a valuable resource for understanding and applying data-driven approaches to HR management. As we navigate the complexities of human resource management in the datadriven age, it is essential to recognize the role of analytics in shaping the future of work. By embracing HR analytics, organizations can unlock new opportunities, drive innovation, and achieve greater success. We hope that this book will inspire and equip you to harness the power of analytics and contribute to the advancement of HR practices in your organization. -Dr Abhishek Sharma -Ms Teena Chaudhary
The Future Of Human Resource Management
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Author : Dianna L. Stone
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-05-30
The Future Of Human Resource Management written by Dianna L. Stone and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Business & Economics categories.
This book contains an Open Access chapter The volume is designed primarily for scholars in the field of human resource management. It also serves the needs of instructors and students in master's and doctoral courses in industrial-organizational psychology, human resource management, or organizational behavior.
Integration Of Ai Based Manufacturing And Industrial Engineering Systems With The Internet Of Things
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Author : Pankaj Bhambri
language : en
Publisher: CRC Press
Release Date : 2023-12-22
Integration Of Ai Based Manufacturing And Industrial Engineering Systems With The Internet Of Things written by Pankaj Bhambri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Computers categories.
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency. A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.
Computational Intelligence In Machine Learning
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Computational Intelligence In Machine Learning written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.