Ivan Pajović

Ivan Pajović

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Ivan Pajović


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 August 2026 in SPORTS, MEDIA AND BUSINESS
Verified
Journal Article
Open access
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ŽTŽeljko Turčinović
Željko Turčinović
MRMilan Radaković
Milan Radaković
MTMilena Turcinovic
Milena Turcinovic
DSDejan Sredojević
Dejan Sredojević
IPIvan Pajović
Ivan Pajović

1 October 2025 in Journal of Agronomy, Technology and Engineering Management (JATEM)
Verified
Journal Article
Closed access
IPIvan Pajović
Ivan Pajović
OBOgnjen Bakmaz
Ognjen Bakmaz
ABAleksandra Brakus
Aleksandra Brakus
IAIvan Arnautović
Ivan Arnautović
DSDejan Sredojević
Dejan Sredojević
SPSlobodan Popović
Slobodan Popović

1 January 2026 in Poljoprivredna tehnika
Verified
Journal Article
Open access
PDF file
SPSlobodan Popović
Slobodan Popović
JGJovana Gardašević
Jovana Gardašević
DSDejan Sredojević
Dejan Sredojević
IAIvan Arnautović
Ivan Arnautović
MRMilan Radaković
Milan Radaković
ABAleksandra Brakus
Aleksandra Brakus
Lending is one of the important ways of buying agricultural machinery - It is of particular importance for the business of medium-sized agricultural companies that need to take into account the complex perception of numerous influencing factors, above all the influence on the formation of the level of interest rates as the driver of all purchases, especially equipment. It was found that there is a significant difference if the documentation that was made for the purposes of obtaining a loan was previously controlled by IT support systems in comparison to documentation where there was no control through IT. Apart from that, the biggest influence of individual factors on crediting is given by the following factors: management of loans, i.e. credit flow, participation in loans and interest rates within the overall overview of purchases of agricultural machinery in the regular business of medium-sized agricultural enterprises. All of this was reinforced by the fact that it was discovered that it is possible to predict the interest rate through other analyzed factors, especially loan repayment and lending of agricultural machinery, i.e. equipment, because they have a significant impact on the analyzed interest rate factor (p<0.0005).