Human resource performance predictors based on the human energy profile

Torp Andronicus (), Andrei Andreia Gabriela () and Purcarea Anca Alexandra ()
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Torp Andronicus: Politehnica University of Bucharest, Bucharest, Romania
Andrei Andreia Gabriela: Alexandru Ioan Cuza University of Iasi, Iasi, Romania
Purcarea Anca Alexandra: Politehnica University of Bucharest, Bucharest, Romania

Proceedings of the International Conference on Business Excellence, 2018, vol. 12, issue 1, 975-982

Abstract: This paper is a comparative study on the findings regarding the connection between a person’s energy profile and that person’s professional performance. As the performance predictors that are used within Human Resource Management may provide a company with important information regarding the future performance of an employee, it is of great importance that these performance predictors be kept up-to-date, both in what regards the precision of each predictor, and by including new performance predictors to the present array of HR predictors should such new predictors be found. This paper is an empirical examination of two such predictors, stress and energy, and argues that, based on the available empirical material, it seems to be possible to expand the present selection of HR predictors with these two predictors as well. This study is based on the ontological framework set forth by academics such as Einstein, Hawking, Tiller, Hunt, Motoyama, regarding the possibility of assessing the human being based on their energy profile. The part concerning Human Resource Management is based on the scientific framework put forth by Hunter & Hunter. Their study shows the validity of the vast majority of the performance predictors used within Human Resource Management, and discusses their practical validity. Then, there is the trans-disciplinary approach, where it is shown based on the empirical studies conducted by Torp et al. if, and how, the present array of performance indicators that are used in the field of Human Resource Management may be improved. Here, different and complementary scientific studies are included to document that the proposed Human Resource Management performance predictor is in reality more than just a predictor, it is an assessment tool that can both predict, and at the same time help quantify a series of the most modern initiatives within Human Resource Management, such as integrating sport, mindfulness, diet, etc. in the workday in order to improve performance.

Keywords: Assessment; Electrophotonic Imaging; Energy; Human Resource Management; Performance; Stress (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:12:y:2018:i:1:p:975-982:n:87

DOI: 10.2478/picbe-2018-0087

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