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A Model to Measure the Performance of Human Resources in Organisations

Author

Listed:
  • Tilca Magnolia

    (“Vasile Goldiş” Western University of Arad)

  • Mare Elisabeta

    (SMART APPS & SOLUTIONS”, Baia Mare, Romania)

  • Apatean Anca

    (Technical University of Cluj – Napoca)

Abstract

The economic crisis, demography, technology, globalization etc. are all factors which will influence the organizational structures and business strategies. A new business strategy will require, among others, that passive Human Resources Management (HRM) change into an active one with a decisive influence upon business. The vision of an active HRM requires that HR information (IT) dedicated systems assist human resources managers in their decision-making. The existing IT systems predominantly manage the salary calculations and, possibly, the employee's professional development, two of the tasks that a human resources manager has to pursue. However, tasks such as assisting, consulting and engaging the human resources in the organization are equally important. IT systems must also develop into these directions. The present paper proposes a solution to measure the performance of human resources by creating an employee performance indicator (EPI). The paper first describes the economic phenomenon involved in the HR performance process, then the mathematical model is formulated, the algorithm is implemented, the solution of the model is analysed from a technical and economic point of view, and finally the decision is made. We use the weighted arithmetic mean to compute the EPI indicator and the correlation formula to establish the degree of relevance between the EPI indicator and the variables involved in the model. An implementation in R is given.

Suggested Citation

  • Tilca Magnolia & Mare Elisabeta & Apatean Anca, 2018. "A Model to Measure the Performance of Human Resources in Organisations," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 28(1), pages 57-73, March.
  • Handle: RePEc:vrs:suvges:v:28:y:2018:i:1:p:57-73:n:5
    DOI: 10.2478/sues-2018-0005
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    More about this item

    Keywords

    ongoing performance management; key performance indicators; multiple linear regression; statistical R environment;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

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