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Pregled bibliografske jedinice broj: 933809

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


Tadić, Ivana; Marasović, Branka
Analyze of human resource allocation in higher education applying integer linear programming // 27th International Scientific Conference on Economics and Social Development "Economic and Social Development" : proceedings
Rim, Italija, 2018. str. 266-276 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 933809 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Tadić, Ivana ; Marasović, Branka

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
27th International Scientific Conference on Economics and Social Development "Economic and Social Development" : proceedings / - , 2018, 266-276

Skup
The 27th International Scientific Conference on Economic and Social Development

Mjesto i datum
Rim, Italija, 01.03.2018. - 02.03.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Split

Profili:

Avatar Url Branka Marasović (autor)

Avatar Url Ivana Tadić (autor)


Citiraj ovu publikaciju:

Tadić, Ivana; Marasović, Branka
Analyze of human resource allocation in higher education applying integer linear programming // 27th International Scientific Conference on Economics and Social Development "Economic and Social Development" : proceedings
Rim, Italija, 2018. str. 266-276 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Tadić, I. & Marasović, B. (2018) Analyze of human resource allocation in higher education applying integer linear programming. U: 27th International Scientific Conference on Economics and Social Development "Economic and Social Development" : proceedings.
@article{article, author = {Tadi\'{c}, Ivana and Marasovi\'{c}, Branka}, year = {2018}, pages = {266-276}, keywords = {higher education system, human resource allocation, human resource planning and programming, ineger linera programming model}, title = {Analyze of human resource allocation in higher education applying integer linear programming}, keyword = {higher education system, human resource allocation, human resource planning and programming, ineger linera programming model}, publisherplace = {Rim, Italija} }
@article{article, author = {Tadi\'{c}, Ivana and Marasovi\'{c}, Branka}, year = {2018}, pages = {266-276}, keywords = {higher education system, human resource allocation, human resource planning and programming, ineger linera programming model}, title = {Analyze of human resource allocation in higher education applying integer linear programming}, keyword = {higher education system, human resource allocation, human resource planning and programming, ineger linera programming model}, publisherplace = {Rim, Italija} }




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