Home  /  ALARj  /  Vol: 22 Núm: 1 Par: 0 (2016)  /  Article
ARTICLE
TITLE

Magic numbers – Action Research in introducing HR metrics

SUMMARY

This insider action research project explores the effects of Human Resource (HR) measurement on the practitioners.  Research unfolds in an organization where refocusing and professionalizing of HR practice is in progress. The study discusses how HR metrics was introduced in an organization, what drove the choice of initial metrics, what was the impact of its persuasive characteristics on the practitioners and its signaling effect in an organization. It discusses how HR metrics helped the HR department to effectively move from attending to short-term, ad-hoc operational needs of managers to implementation of long-term value-add operational and developmental activities that have organization-wide implications. Metrics is seen as a work-in-progress to drive appropriate behavior within the HR team. The study thereafter identifies personal theories in practice. The study argues that maturity in people orientation and sophisticated measurement mechanics are not a prerequisite to start measuring; the initial aim of metrics may be to improve departmental performance rather than enhancing credibility with line managers by demonstrating financial/organizational impact of HR value-add. Such an approach leads to overall salutary effect as influence of HR in many of its own metrics is rather weak and inconsequential. The contribution of this study is value-influence matrix that identifies HR metrics in terms of value to business and influence of HR.  

 Articles related

Melody Liu    

Performance metrics quantifying the efficiency of various turbomachinery blades aid in the development of an optimal blade design. In this study, a metric was created to investigate the performance of 48 different compressor blades created with Octave an... see more


Randy Appel, Angel Arias    

Background. Advances in automated analyses of written discourse have made available a wide range of indices that can be used to better understand linguistic features present in language users’ discourse and the relationships these metrics hold with human... see more


Preeti Mittal, Dr Rajesh Kumar Saini, Dr Justin Varghese, Neeraj Kumar Jain    

Automatic image quality assessment similar to human vision perception is an essential process for real time image processing applications to perform perceptual image assessments for effectively achieving its goals. As no-reference image quality assessmen... see more


David J. Lemay, Tenzin Doleck, Christopher G. Brinton    

Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing s... see more


Maria Perifanou, Anastasios A. Economides    

Previous studies have mainly investigated major massive open online course (MOOC) platforms such as Coursera, edX, and Udemy. This study used 21 metrics to explore 35 MOOC platforms from across the world. Five Web analytics tools were used to analyze the... see more