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PurposeDrawing on human capital theory and the human capital resources framework, this study explores the knowledge, skills, abilities and other characteristics (KSAOs) required by the emerging role of human resource (HR) analysts. This study aims to systematically identify the key KSAOs and develop a competency model for HR Analysts amid the growing digitalization of work.Design/methodology/approachAdopting best practices for competency modeling set out by Campion et al. (2011), this study first analyzes 110 HR analyst job advertisements collected from five countries: Australia, Canada, Ireland, the United Kingdom and the USA. Second a thematic analysis of 12 in-depth semistructured interviews with HR analytics professionals from Canada and Ireland is then conducted to develop a novel competency model for HR Analysts.FindingsThis study adds to the developing and fast-growing field of HR analytics literature by offering evidence supporting a set of six distinct competencies required by HR Analysts including: consulting, technical knowledge, data fluency and data analysis, HR and business acumen, research and discovery and storytelling and communication.Practical implicationsThe research findings have several practical implications, specifically in recruitment and selection, HR development and HR system alignment.Originality/valueThis study contributes to the evolving HR analytics literature in two ways. First, the study links the role of HR Analysts to human capital theory and the human capital resource framework. Second, it offers a timely and empirically driven competency model for the emerging role of HR Analysts.

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A refinement of the construct of age, specifically ‘older’, is recognised as a critical measurement concern for experts in both ageing research and policy formation. In this context, we set out to both chronologically define an ‘older worker’ and to identify on what basis the age of ‘older’ is determined. In doing so, we draw on open‐ended survey data (collected in 2011) from a sample of 407 organisational decision makers across all industries in Ireland. Our focus was specifically on the perspective of organisational decision makers because these individuals will be instrumental in facing the challenges associated with workforce ageing. The results show that workers are considered as ‘older’ at a younger age than might be expected and that decision makers conceptualise workers as ‘older’ using various approaches in the organisational context. Our findings contribute to the literature in three ways: firstly, by providing an important empirically derived understanding of the term ‘older worker’; secondly, by empirically examining previously suggested ‘possible’ indicators of age; and thirdly, by demonstrating that these indicators are conceptually and empirically distinct, advancing theory on the concept of age in the workplace.

We have demonstrated what we believe to be the first mid-infrared optical parametric oscillator (OPO) pumped directly by a pulsed Tm-doped fiber laser. The Tm-fiber pump laser produces 30 ns pulses with a repetition rate of 30 kHz at a wavelength of 2 microm. The ZnGeP2 (ZGP) OPO produces 20 ns mid-IR pulses in the 3.4-3.9 microm and 4.1-4.7 microm spectral regions simultaneously. More than 658 mW of mid-IR output power has been generated with a total OPO slope efficiency greater than 35%.