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master's thesis
PREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a
2020. urn:nbn:hr:124:680843
Gnječ, Antonio
University of Split
Faculty of economics Split

Cite this document

Gnječ, A. (2020). PREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a (Master's thesis). Split: University of Split, Faculty of economics Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:124:680843

Gnječ, Antonio. "PREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a." Master's thesis, University of Split, Faculty of economics Split, 2020. https://urn.nsk.hr/urn:nbn:hr:124:680843

Gnječ, Antonio. "PREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a." Master's thesis, University of Split, Faculty of economics Split, 2020. https://urn.nsk.hr/urn:nbn:hr:124:680843

Gnječ, A. (2020). 'PREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a', Master's thesis, University of Split, Faculty of economics Split, accessed 23 December 2024, https://urn.nsk.hr/urn:nbn:hr:124:680843

Gnječ A. PREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a [Master's thesis]. Split: University of Split, Faculty of economics Split; 2020 [cited 2024 December 23] Available at: https://urn.nsk.hr/urn:nbn:hr:124:680843

A. Gnječ, "PREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a", Master's thesis, University of Split, Faculty of economics Split, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:124:680843

Metadata
TitlePREDVIĐANJE POTRAŽNJE ZA ROBOTIMA U ZEMLJAMA OECD-a
AuthorAntonio Gnječ
MentorJosipa Višić (mentor)
GranterUniversity of Split
Faculty of economics Split
Split
Defense date and country2020-09, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract
Automatizacija i umjetna inteligencija imaju sve veći utjecaj na poslovno okruženje, ali i na svakodnevni život ljudi. Usko vezano uz njih robotizacija kao proces zadnjih godina je u većoj ili manjoj mjeri zahvatila sve veći broj industrija. Pokazatelji volumena prodaje, prihoda od prodaje i vrijednosti tržišta su u konstantnom porastu i tržište robota se ubrzano razvija. Drugim riječima, trendovi su neumoljivi i prikazuju rast industrije robota koji bi se trebao nastaviti i u budućnosti , stoga je ovim istraživanjem potvrđeno da tržište industrijskih i neindustrijskih robota predstavlja ekonomsko značajno tržište u svjetskim razmjerima. Međutim, navedeni procesi nisu jednako prisutni u svim dijelovima svijeta. Ekonomske značajke poput stope nezaposlenosti, bruto domaćeg proizvoda, postotak bruto domaćeg proizvoda koji se izdvaja za istraživanje i razvoj, produktivnost bruto domaćeg proizvoda, dostupnost interneta te prosječne plaće imaju utjecaj na razvijenost pojedine zemlje i njihovu otvorenost prema novim tehnologijama, stoga su te varijable analizirane u svrhu određivanja zemalja koje imaju veće izglede za prihvaćanje robota za osobnu upotrebu. Rezultati provedene klaster analize su pokazali da se zemlje OECD-a mogu izdvojiti u tri zasebna klastera prema njihovom tržišnom potencijalu. U klasteru koji najviše obećavaju u smislu potencijalne potražnje za robotima za osobnu upotrebu su smještene zemlje s najzdravijim i najsnažnijim ekonomijama.
Abstract (english)
Automation and artificial intelligence have an increasing impact on the business environment, but also on people's daily lives. Closely related to it, robotization as a process in recent years has to a greater or lesser extent affected an increasing number of industries. Indicators of sales volume, sales revenue and market value are constantly growing and the robot market is developing rapidly. In other words, the trends are unrelenting and show the growth of the robot industry that should continue in the future, thus this research confirmed that the market for industrial and non-industrial robots is an economically significant market on a global scale. However, these processes are not equally present in all parts of the world. Economic characteristics such as unemployment rate, gross domestic product, gross domestic spending on research and development, GDP productivity, internet access and average wages have an impact on a country's development and openness to new technologies, so these variables are analyzed for the purpose of determining countries that are more likely to accept robots for personal use. The results of the cluster analysis showed that OECD countries can be divided into three separate clusters according to their market potential. In the most promising cluster in terms of potential demand for robots for personal use are placed countries with the healthiest and strongest economies.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:124:680843
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 conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-09-14 13:15:30