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master's thesis
USPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA
Diplomski rad
Split: University of Split, Faculty of economics Split, 2021. urn:nbn:hr:124:897997
Roko, Zvonimir
University of Split
Faculty of economics Split

Institutional repository: REFST

Cite this document

Roko, Z. (2021). USPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA : Diplomski rad (Master's thesis). Split: University of Split, Faculty of economics Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:124:897997

Roko, Zvonimir. "USPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA : Diplomski rad." Master's thesis, University of Split, Faculty of economics Split, 2021. https://urn.nsk.hr/urn:nbn:hr:124:897997

Roko, Zvonimir. "USPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA : Diplomski rad." Master's thesis, University of Split, Faculty of economics Split, 2021. https://urn.nsk.hr/urn:nbn:hr:124:897997

Roko, Z. (2021). 'USPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA : Diplomski rad', Master's thesis, University of Split, Faculty of economics Split, accessed 28 November 2024, https://urn.nsk.hr/urn:nbn:hr:124:897997

Roko Z. USPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA : Diplomski rad [Master's thesis]. Split: University of Split, Faculty of economics Split; 2021 [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:124:897997

Z. Roko, "USPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA : Diplomski rad", Master's thesis, University of Split, Faculty of economics Split, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:124:897997

Metadata
TitleUSPOREDBA METODA POSLOVNE INTELIGENCIJE I STATISTIČKIH METODA ZA ANALIZU DOBROVOLJNIH PRESTANAKA RADNIH ODNOSA : Diplomski rad
AuthorZvonimir Roko
MentorTea Šestanović (mentor)
MBZ: 334725
GranterUniversity of Split
Faculty of economics Split
Split
Defense date and country2021-04, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Quantitative Economics
Abstract
Tema ovog diplomskog rada je usporedba metoda poslovne inteligencije i statističkih metoda za analizu dobrovoljnih prestanaka radnih odnosa. Cilj je bio istražiti utjecaje različitih varijabli na dobrovoljne prestanke radnih odnosa te usporediti rezultate dobivene korištenjem statističkog alata i alata poslovne inteligencije.U teorijskom dijelu objašnjeni su pojmovi dobrovoljnog prestanka radnog odnosa i fluktuacije zaposlenih, te su navedena dosadašnja istraživanja na temu utjecaja različitih varijabli na spomenute pojmove.Empirijsko istraživanje provedeno je u alatu RapidMiner te SPSS Statistics te dovelo do zaključka da varijabla Prekovremeni (engl. Overtime) ima značajni utjecaj na varijablu Dobrovoljni prestanci radnog odnosa (engl. Attrition). Usporedba statističkih metoda i metoda poslovne inteligencije dovela je do zaključka da su metode veoma korisne za analizu poslovnih podataka, no pružaju različite vrste analize te svaka ima svoje prednosti i nedostatke ovisno o postavljenom cilju istraživanja.
Abstract (english)
The topic of this thesis is a comparison of business intelligence methods and statistical methods for the analysis of attrition. The main goal was to investigate the impact of different variables on attrition and to compare the results obtained using statistical and business intelligence tools. The theoretical part explains the concepts of attrition and employee turnover and lists previous research on the impact of different variables on attrition and turnover. Empirical research was conducted in the RapidMiner tool and SPSS Statistics and led to the conclusion that the variable Overtime has a significant impact on the variable Attrition. A comparison of statistical methods and business intelligence methods has led to the conclusion that the methods are very useful for the analysis of business data, but they provide different types of analysis that have their advantages and disadvantages depending on the research goal.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:124:897997
Study programmeTitle: Business Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-04-30 12:18:42