This book discusses the effect of global pandemic, Covid-19, on human resource and draws strategies with new job designing tools and techniques. It provides insights on how to develop new strategies for HR professionals in corporates and academicians. This book explores the implication of descriptive, predictive and prescriptive HR analytics practices for different functional domains and in different countries during COVID-19. It brings new dimensions of study in HR analytics which are sure to change after COVID-19 as it has affected the way people are going to work.

We are living in an uncertain world that is rapidly changing with an overload of information and a continual rise of technologies. Automation, the gig economy, digital platforms and other innovations are changing the fundamental nature of work and are having a significant impact on the workforce, workplace and the HR function. Digital HR Strategy is crucial reading for all HR practitioners and leaders wanting to ensure that their organization adapts to this changing and increasingly competitive environment by creating a strategic approach for sustainable transformation which goes beyond conventional digital HR propositions. Featuring case studies from organizations including Airbnb and PepsiCo, it covers areas such as the importance of cultural change and creating a human-centric employee experience, leveraging value propositions, and harnessing data insights and analytics to improve performance. Digital HR Strategy also explores frameworks, strategies and opportunities for wellbeing initiatives, upskilling and reskilling workforces to respond to and establishing a culture of collaboration and innovation. Featuring tips, tools, and key questions to consider, it is an indispensable resource for all HR practitioners and leaders looking to build, develop and execute a digital HR strategy in order to achieve and sustain competitive advantage in this fast-changing digital age.

This book draws on recent debate surrounding the emergence of cognitive intelligence in organizations, exploring the redefinition of the labor market and consequently, employment. With a particular focus on Human Resource Management (HRM), the authors analyse the socio-cultural transformation of traditional practices and methodologies that are ocurring in the workforce. Digital HR presents detailed case studies and interviews with HR managers of large multinational companies, providing comprehensive empirical evidence for academics and students interested in the development of HRM in today’s digital landscape. The book will also be valuable to practitioners and managers looking to adapt the role of HR in their own companies or organizations.

FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Effectively and ethically leveraging people data to deliver real business value is what sets the best HR leaders and teams apart. Excellence in People Analytics provides business and human resources leaders with everything they need to know about creating value from people analytics. Written by two leading experts in the field, this practical guide outlines how to create sustainable business value with people analytics and develop a data-driven culture in HR. Most importantly, it allows HR professionals and business executives to translate their data into tangible actions to improve business performance. while navigating the rapidly evolving world of work. Full of practical tools and advice assembled around the Insight222 Nine Dimensions in People Analytics® model, this book demonstrates how to use people data to increase profits, improve staff retention and workplace productivity as well as develop individual employee experience. Featuring case studies from leading companies including Microsoft, HSBC, Syngenta, Capital One, Novartis, Bosch, Uber, Santander Brasil and American Eagle Outfitters®, Excellence in People Analytics is essential reading for all HR professionals needing to unlock the potential in their people data and gain competitive advantage

Three experts in Human Resources introduce a measurement system that convincingly showcases how HR impacts business performance. Drawing from the authors' ongoing study of nearly 3,000 firms, this book describes a seven-step process for embedding HR systems within the firm's overall strategy—what the authors describe as an HR Scorecard—and measuring its activities in terms that line managers and CEOs will find compelling. Analyzing how each element of the HR system can be designed to enhance firm performance and maximize the overall quality of human capital, this important book heralds the emergence of HR as a strategic powerhouse in today's organizations.

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.