Caughlin D. R for HR. An Introduction to Human Resource Analytics Using R 2024

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Caughlin D. R for HR. An Introduction to Human Resource Analytics Using R 2024

Textbook in PDF format The term human resource analytics can mean different things to different people and to different organizations. Further, human resource analytics sometimes goes by other names like people analytics, talent analytics, workforce analytics, and human capital analytics. While some may argue for distinctions between these different names, for this book, I will treat them as interchangeable labels. Moreover, for the purposes of this book, human resource (HR) analytics is defined as the “process of collecting, analyzing, interpreting, and reporting people-related data for the purpose of improving decision making, achieving strategic objectives, and sustaining a competitive advantage”. The foundation of HR analytics formed over a century ago with the emergence of disciplines like industrial and organizational (I/O) psychology. In recent decades, advances in information technology and systems have reduced the time HR professionals spend on transactional and administrative activities, thereby creating more time and opportunity for transformational activities supporting the realization of strategic organizational objectives. HR analytics has the potential to play an integral role in such transformational activities, as it can inform HR system design (e.g., choosing selection tools, validating selection tools) and high-stakes decision making involving people-related data from the organization