This guidebook goes beyond people analytics to provide a research-based, practice-tested methodology for doing relational analytics, based on the science of relational coordination. We are witnessing a revolution in people analytics, where data are used to identify and leverage human talent to drive performance outcomes. Today’s workplace is interdependent, however, and individuals drive performance through networks that span department, organization and sector boundaries. This book shares the relational coordination framework, with a validated scalable analytic tool that has been used successfully across dozens of countries and industries to understand, measure and influence networks of relationships in and across organizations, and which can be applied at any level in the private and public sectors worldwide. Graduate students and practitioners in human resource management, health policy and management, organizational behavior, engineering and network analysis will appreciate the methodology and hands-on guidance this book provides, with its focus on identifying, analyzing and building networks of productive interdependence. Online resources include data appendices and statistical commands that can be used to conduct all these analyses in readers’ own organizations.

This guidebook goes beyond people analytics to provide a research-based, practice-tested methodology for doing relational analytics, based on the science of relational coordination. We are witnessing a revolution in people analytics, where data are used to identify and leverage human talent to drive performance outcomes. Today’s workplace is interdependent, however, and individuals drive performance through networks that span department, organization and sector boundaries. This book shares the relational coordination framework, with a validated scalable analytic tool that has been used successfully across dozens of countries and industries to understand, measure and influence networks of relationships in and across organizations, and which can be applied at any level in the private and public sectors worldwide. Graduate students and practitioners in human resource management, health policy and management, organizational behavior, engineering and network analysis will appreciate the methodology and hands-on guidance this book provides, with its focus on identifying, analyzing and building networks of productive interdependence. Online resources include data appendices and statistical commands that can be used to conduct all these analyses in readers’ own organizations.

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.

Build the workforce of the future. In our volatile and complex era--which boasts a competitive market for top talent--HR's traditional model will fail. Your company needs to adopt the latest skills to successfully manage performance and evaluate potential. HBR's 10 Must Reads for HR Leaders Collection features innovative ideas on how to foster a vibrant, high-performing company culture, spearhead constructive change, and reap the benefits of a diverse workforce. Included in this five-book set are HBR's 10 Must Reads on Reinventing HR, HBR's 10 Must Reads on Change Management, HBR's 10 Must Reads on Building a Great Culture, HBR's 10 Must Reads on Diversity, and HBR's 10 Must Reads on Managing People. The collection includes fifty articles selected by HBR's editors from renowned thought leaders including Marcus Buckingham, W. Chan Kim, Renee Mauborgne, and Sylvia Ann Hewlett, plus the indispensable article "People Before Strategy" by Ram Charan, Dominic Barton, and Dennis Carey. With HBR's 10 Must Reads for HR Leaders Collection, break free from the traditional HR mindset and learn how to build the workforce of the future. HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.

*Immediately accessible to anyone who must design a relational data model—regardless of prior experience *Concise, straightforward explanations to a usually complex/ jargon-rich discipline *Examples are based on extensive author experience modeling for real business systems

Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.

Often, we have seen the custodian of human capital the Human Resources function becomes a scapegoat for Management decisions. It is a pity that, while HR is liable for employees’ well-being, motivation and morale, they are considered to be a liability to organizations/employers sometimes. What makes them so? Is it a myth that HR does what CEOs wants them to do? or are they sandwiched between employer and employees to maintain a diplomatic figure? or do they not understand what the expectations of the organization or management are? A must-read book for all Managers/Leaders as everyone is a human resource manager when they deal with individuals/teams or even at home when you deal with your own people. Some interesting factual stories/case studies will make you realize how important the above questions are. Also, this book will make you aware of practical issues faced in the day-to-day life of HR professionals, the dilemmas faced by them with management and employees, how they can become an able business HR leader, and a few worthy solutions you can deal with. This will also help CEOs to understand how to deal with human capital better. I’m sure this book will inspire you to change your mind-set on Human resources.