PREDICTION OF THE CHANGE IN NUMBER OF EMPLOYEES IN SERBIAN COMPANIES BASED ON CONTINGENCY AND QUALITY MANAGEMENT FACTORS
2023
Autori
Perišić, NatalijaSpasojević Brkić, Vesna
Jovanović, Radiša
Mihajlović, Ivan
Perišić, Martina
Konferencijski prilog (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
A company’s development performance and growth may be impacted by a wide range
of different factors, which unquestionably affect number of the employees in the loop. Taking into
account all influencing factors, companies would benefit if have possibility to predict the degree of
change in the number of employees in future period in order to adjust their internal strategy or to
make appropriate decisions that enable the survival and progress of the company in the market. The
aim of this research is to predict the change in number of employees based on current state of
contingency and quality management factors, using information obtained from a survey of 67
different companies from Serbia. In the first part of the research, a correlation analysis is used with
the aim to identify the specific contingency and quality management factors that are most closely
associated to the subject of interest, which is, in this case, degree of change in the number of
employes. The second part ...of the research involves feedforward neural network training for
prediction of the degree of change in number of employees based on feature extraction of main
factors. The training accuracy that proposed network achieved is 77.36%, while testing accuracy
amounts 71.43%.
Ključne reči:
Correlation analysis / number of employees / feedforward neural networksIzvor:
International May Conference on Strategic Management – IMCSM23 May, 2023, Bor, Serbia, 2023, 19, 1, 39-48Izdavač:
- Bor : University of Belgrade, Technical Faculty, Department of Engineering Management
Finansiranje / projekti:
- info:eu-repo/grantAgreement/MESTD/inst-2020/200105/RS//" (RS-MESTD-inst-2020-200105)
- RESMOD SAF€RA project
Kolekcije
Institucija/grupa
Mašinski fakultetTY - CONF AU - Perišić, Natalija AU - Spasojević Brkić, Vesna AU - Jovanović, Radiša AU - Mihajlović, Ivan AU - Perišić, Martina PY - 2023 UR - https://machinery.mas.bg.ac.rs/handle/123456789/6863 AB - A company’s development performance and growth may be impacted by a wide range of different factors, which unquestionably affect number of the employees in the loop. Taking into account all influencing factors, companies would benefit if have possibility to predict the degree of change in the number of employees in future period in order to adjust their internal strategy or to make appropriate decisions that enable the survival and progress of the company in the market. The aim of this research is to predict the change in number of employees based on current state of contingency and quality management factors, using information obtained from a survey of 67 different companies from Serbia. In the first part of the research, a correlation analysis is used with the aim to identify the specific contingency and quality management factors that are most closely associated to the subject of interest, which is, in this case, degree of change in the number of employes. The second part of the research involves feedforward neural network training for prediction of the degree of change in number of employees based on feature extraction of main factors. The training accuracy that proposed network achieved is 77.36%, while testing accuracy amounts 71.43%. PB - Bor : University of Belgrade, Technical Faculty, Department of Engineering Management C3 - International May Conference on Strategic Management – IMCSM23 May, 2023, Bor, Serbia T1 - PREDICTION OF THE CHANGE IN NUMBER OF EMPLOYEES IN SERBIAN COMPANIES BASED ON CONTINGENCY AND QUALITY MANAGEMENT FACTORS EP - 48 IS - 1 SP - 39 VL - 19 UR - https://hdl.handle.net/21.15107/rcub_machinery_6863 ER -
@conference{ author = "Perišić, Natalija and Spasojević Brkić, Vesna and Jovanović, Radiša and Mihajlović, Ivan and Perišić, Martina", year = "2023", abstract = "A company’s development performance and growth may be impacted by a wide range of different factors, which unquestionably affect number of the employees in the loop. Taking into account all influencing factors, companies would benefit if have possibility to predict the degree of change in the number of employees in future period in order to adjust their internal strategy or to make appropriate decisions that enable the survival and progress of the company in the market. The aim of this research is to predict the change in number of employees based on current state of contingency and quality management factors, using information obtained from a survey of 67 different companies from Serbia. In the first part of the research, a correlation analysis is used with the aim to identify the specific contingency and quality management factors that are most closely associated to the subject of interest, which is, in this case, degree of change in the number of employes. The second part of the research involves feedforward neural network training for prediction of the degree of change in number of employees based on feature extraction of main factors. The training accuracy that proposed network achieved is 77.36%, while testing accuracy amounts 71.43%.", publisher = "Bor : University of Belgrade, Technical Faculty, Department of Engineering Management", journal = "International May Conference on Strategic Management – IMCSM23 May, 2023, Bor, Serbia", title = "PREDICTION OF THE CHANGE IN NUMBER OF EMPLOYEES IN SERBIAN COMPANIES BASED ON CONTINGENCY AND QUALITY MANAGEMENT FACTORS", pages = "48-39", number = "1", volume = "19", url = "https://hdl.handle.net/21.15107/rcub_machinery_6863" }
Perišić, N., Spasojević Brkić, V., Jovanović, R., Mihajlović, I.,& Perišić, M.. (2023). PREDICTION OF THE CHANGE IN NUMBER OF EMPLOYEES IN SERBIAN COMPANIES BASED ON CONTINGENCY AND QUALITY MANAGEMENT FACTORS. in International May Conference on Strategic Management – IMCSM23 May, 2023, Bor, Serbia Bor : University of Belgrade, Technical Faculty, Department of Engineering Management., 19(1), 39-48. https://hdl.handle.net/21.15107/rcub_machinery_6863
Perišić N, Spasojević Brkić V, Jovanović R, Mihajlović I, Perišić M. PREDICTION OF THE CHANGE IN NUMBER OF EMPLOYEES IN SERBIAN COMPANIES BASED ON CONTINGENCY AND QUALITY MANAGEMENT FACTORS. in International May Conference on Strategic Management – IMCSM23 May, 2023, Bor, Serbia. 2023;19(1):39-48. https://hdl.handle.net/21.15107/rcub_machinery_6863 .
Perišić, Natalija, Spasojević Brkić, Vesna, Jovanović, Radiša, Mihajlović, Ivan, Perišić, Martina, "PREDICTION OF THE CHANGE IN NUMBER OF EMPLOYEES IN SERBIAN COMPANIES BASED ON CONTINGENCY AND QUALITY MANAGEMENT FACTORS" in International May Conference on Strategic Management – IMCSM23 May, 2023, Bor, Serbia, 19, no. 1 (2023):39-48, https://hdl.handle.net/21.15107/rcub_machinery_6863 .