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.

Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications. Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find: A comprehensive guide to developing and implementing a human resource analytics project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How to add value through analysis of systems such as staffing, training, and retention For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.

Recently, the use of statistical tools, methodologies, and models in human resource management (HRM) has increased because of human resources (HR) analytics and predictive HR decision making. To utilize these technological tools, HR managers and students must increase their knowledge of the resources’ optimum application. Statistical Tools and Analysis in Human Resources Management is a critical scholarly resource that presents in-depth details on the application of statistics in every sphere of HR functions for optimal decision-making and analytical solutions. Featuring coverage on a broad range of topics such as leadership, industrial relations, training and development, and diversity management, this book is geared towards managers, professionals, upper-level students, administrators, and researchers seeking current information on the integration of HRM technologies.

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.

This contemporary, global and engaging textbook covers all the core HRM topics. Providing a succinct overview, it gives you the tools to engage your students in critical thinking and to develop their employability skills. Rich in pedagogy, features like HRM in the Global Business Environment and HRM and Organizational Performance prepare your students for the modern workplace. Video interviews offer a practitioner perspective, allowing students to relate theory to practice, while HRM in the News boxes shine a light on current issues, such as lawsuits against ridesharing company Uber. The second edition of this popular textbook is compulsory reading for HRM courses at both undergraduate and postgraduate level. Accessibly written but also offering depth and rigour, it is appropriate for a wide range of courses. New to this Edition: - Fully revised and updated learning features, including two brand new features HRM and Organizational Performance and HRM in the Global Business Environment - A new chapter on human resource analytics - New video interviews, including major multinational companies - New international content brings in a global perspective Accompanying online resources for this title can be found at bloomsburyonlineresources.com/human-resource-management-2e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains. The idea of this work germinated from the two day workshop on “Big and Open Data – Evolving Data Science Standards and Citation Attribution Practices”, an international workshop, led by the ICSU-CODATA and attended by over 300 domain experts. The Workshop focused on two priority areas (i) Big and Open Data: Prioritizing, Addressing and Establishing Standards and Good Practices and (ii) Big and Open Data: Data Attribution and Citation Practices. This important international event was part of a worldwide initiative led by ICSU, and the CODATA-Data Citation Task Group. In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume.

This book discusses an emerging area in computer science, IT and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.

Human Resource Management, 2e, presents multifaceted, up-to-date and all-inclusive information which will be useful to students and professionals pursuing human resource management (HRM). Going beyond the coverage of a traditional textbook, this book focuses on applied aspects of HRM, which capture the evolving challenges in the field. Application approach is followed to enrich them with as many examples as possible from not only India but from the world over, making the topics more meaningful.

Because of how quickly things are changing in the corporate world, such a strategy must be flexible enough to adapt to unexpected developments. The question of whether it works, produces the desired results, and contributes directly or indirectly to human flourishing, however measured, must inspire a situated response that is true to the possibilities and potentialities inherent. If higher education is to accomplish its stated aims—the socialization and individualization of its students through the inculcation of information, truth‐making, comprehensive critical thinking, etc.—this is a surefire way to get there. Management professionals who see people and talent management as an integral aspect of their job description (which should include almost every managerial duty) will find this book helpful in spotting problems with people management and developing solutions tailored to their situations.

Written by experts in the field, this well-established book provides a critical and academically rigorous exploration of the key functions, practices and issues in HRM today. The first part of Contemporary Human Resource Management covers fundamental HRM practices while the second half examines contemporary themes and issues such as work-place bullying, flexibility and emotion at work. Each chapter contains two thought-provoking case studies, encouraging readers to identify, examine and apply key concepts to real-world examples. This substantially revised sixth edition includes three completely new chapters and case studies on: HRM in SMEs The Future of Work Employee Wellbeing