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Author: Jody Hoffer Gittell Publisher: Taylor & Francis ISBN: 1000391574 Category : Business & Economics Languages : en Pages : 205
Book Description
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.
Author: Jody Hoffer Gittell Publisher: Taylor & Francis ISBN: 1000391574 Category : Business & Economics Languages : en Pages : 205
Book Description
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.
Author: Jody Hoffer Gittell Publisher: Routledge ISBN: 1000391639 Category : Business & Economics Languages : en Pages : 196
Book Description
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.
Author: Shivinder Nijjer Publisher: Taylor & Francis ISBN: 1000208079 Category : Business & Economics Languages : en Pages : 237
Book Description
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.
Author: Harvard Business Review Publisher: Harvard Business Press ISBN: 163369934X Category : Business & Economics Languages : en Pages : 783
Book Description
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.
Author: Hadley Wickham Publisher: "O'Reilly Media, Inc." ISBN: 1491910364 Category : Computers Languages : en Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Sharon Allen Publisher: ISBN: Category : Computers Languages : en Pages : 646
Book Description
*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
Author: Sören Auer Publisher: Springer ISBN: 3319098462 Category : Computers Languages : en Pages : 218
Book Description
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.
Author: Tuhin Biswas Publisher: Notion Press ISBN: 1649517912 Category : Business & Economics Languages : en Pages : 184
Book Description
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.
Author: Harvard Business Review Publisher: Harvard Business Press ISBN: 1633697851 Category : Business & Economics Languages : en Pages : 206
Book Description
How HR can lead. If you read nothing else on reinventing human resources, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones on how HR leaders can partner with the C-suite, drive change throughout the organization, and develop the workforce of the future. This book will inspire you to: Overhaul performance management practices to jump-start motivation and engagement Use agile processes to transform how you hire, develop, and manage people Establish diversity programs that increase innovation and competitiveness as well as inclusion Use people analytics to bring unprecedented insight to hiring and talent management Prepare your company for the double waves of artificial intelligence and an older workforce Close the gap between HR and strategy This collection of articles includes: "People Before Strategy: A New Role for the CHRO," by Ram Charan, Dominic Barton, and Dennis Carey; "How Netflix Reinvented HR," by Patty McCord; "HR Goes Agile," by Peter Cappelli and Anna Tavis; "Reinventing Performance Management," by Marcus Buckingham and Ashley Goodall; "Better People Analytics," by Paul Leonardi and Noshir Contractor; "21st-Century Talent Spotting," by Claudio Fernandez-Araoz; "Tours of Duty: The New Employer-Employee Contract," by Reid Hoffman, Ben Casnocha, and Chris Yeh; "Creating the Best Workplace on Earth," by Rob Goffee and Gareth Jones; "Why Diversity Programs Fail," by Frank Dobbins and Alexandra Kalev; "When No One Retires," by Paul Irving; and "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty.
Author: Nigel Campbell Publisher: IBM Redbooks ISBN: 0738438723 Category : Computers Languages : en Pages : 124
Book Description
This IBM® Redbooks® publication explains how IBM Cognos® Business Intelligence (BI) administrators, authors, modelers, and power users can use the dynamic query layer effectively. It provides guidance for determining which technology within the dynamic query layer can best satisfy your business requirements. Administrators can learn how to tune the query service effectively and preferred practices for managing their business intelligence content. This book includes information about metadata modeling of relational data sources with IBM Cognos Framework Manager. It includes considerations that can help you author high-performing applications that satisfy analytical requirements of users. This book provides guidance for troubleshooting issues related to the dynamic query layer of Cognos BI. Related documents: Solution Guide : Big Data Analytics with IBM Cognos BI Dynamic Query Blog post : IBM Cognos Dynamic Query Extensibility
Author: Jody Hoffer Gittell
Author: Jody Hoffer Gittell
Author: Jody Hoffer Gittell
Author: Shivinder Nijjer
Author: Harvard Business Review
Author: Hadley Wickham
Author: Sharon Allen
Author: Sören Auer
Author: Tuhin Biswas
Author: Harvard Business Review
Author: Nigel Campbell