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Analyze of human resource allocation in higher education applying integer linear programming (CROSBI ID 660754)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Tadić, Ivana ; Marasović, Branka Analyze of human resource allocation in higher education applying integer linear programming // Economic and social development. 2018. str. 266-276

Podaci o odgovornosti

Tadić, Ivana ; Marasović, Branka

engleski

Analyze of human resource allocation in higher education applying integer linear programming

Contemporary organisations are surrounded with various constrains as well as limited number of different resources essential for their performance. Their managers seek to find an optimal resource allocation to a number of tasks, for optimizing objectives due to given constraints. Consequently, optimizing human resource allocation in order to fulfil organisational goals, primary to maximise profit and at the same time to minimize total costs or loss of time, represents one of the most demanding managerial decision making. The main aim of this paper is to optimise human resource allocation within Croatian higher education system in terms of minimising employees’ costs. The paper suggests usage of integer linear programing model in order to determine the required number of teaching and researching faculty staff to fulfil all their duties (related to students) and at the same time to minimise their salaries expenditures. The model will be applied on the chosen example of Croatian faculty, due to the fact that Croatian teaching and researching staff is lately constrained in advancement and promotion by insufficient investments and is confronted with significant cutting costs. Besides minimising salaries expenditures, as its primary goal, model has to offer optimal solution which will provide the best possible quality for students within higher education system. Suggested model will be applicable to any Croatian faculty. It will secure optimal level of teaching and researching positions whose objective is to evolve and progress on individual level, delivering quality to their students as well as recognition and competitive advantage to their institution. Keywords: higher educational system, human resource allocation, human resource planning and programming, integer linear programming model

higher education system, human resource allocation, human resource planning and programming, ineger linera programming model

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Podaci o prilogu

266-276.

2018.

objavljeno

Podaci o matičnoj publikaciji

27th International Scientific Conference on Economics and Social Development "Economic and Social Development" : proceedings

1849-7535

Podaci o skupu

The 27th International Scientific Conference on Economic and Social Development

predavanje

01.03.2018-02.03.2018

Rim, Italija

Povezanost rada

Ekonomija