ERP system security through the eyes of users: evidence from Serbian enterprises

Arsić, Sanela; Radić, Aleksandra; Nikolić, Đorđe

doi:10.11118/ecos2026_001

Conference Object Open access M33

Arsić et al., 2026 - ERP.pdf (5.65MB)

2026

Arsić, Sanela
Radić, Aleksandra
Nikolić, Đorđe

Mendel University in Brno, Brno, Czech Republic

Proceedings - 28th International Scientific Conference Economic Competitiveness and Sustainability 2026, March 26–27, 2026, Brno, Czech Republic

English

M33 - Conference paper at an international conference, printed in full

Enterprise resource planning (ERP) systems are integrated business platforms characterised by a high need for security, which is a fundamental requirement for efficient operation. Although many vendors include comprehensive security mechanisms in their ERP solutions, user perceptions of security are also crucial for adequate system adoption. This study examines users’ perceptions of ERP system security and reliability in relation to demographic characteristics. Analysis of Variance (ANOVA) was used to identify differences in responses. The empirical research included a sample of 206 ERP system users from organisations in Serbia. The ANOVA results show that user perceptions differ significantly by users’ level of education, the organisation’s industry sector and economic activity, and the frequency and duration of system use. These findings provide valuable insights into variations in perceptions of ERP system security and help identify behavioural patterns influenced by demographic factors.

ERP systems, security perception, user behaviour, ANOVA, demographic factors

DOI

10.11118/ecos2026_001

ISBN

978-80-7701-102-0

URI

https://repozitorijum.tfbor.bg.ac.rs/handle/...

Scopus OpenCitations OpenAlex

dc.creator	Arsić, Sanela
dc.creator	Radić, Aleksandra
dc.creator	Nikolić, Đorđe
dc.contributor	David, Petr
dc.contributor	Vránová, Hana
dc.title	ERP system security through the eyes of users: evidence from Serbian enterprises
dc.date.issued	2026
dc.publisher	Mendel University in Brno, Brno, Czech Republic
dc.identifier.doi	10.11118/ecos2026_001
dc.identifier.isbn	978-80-7701-102-0
dc.type	conferenceObject
dc.source	Proceedings - 28th International Scientific Conference Economic Competitiveness and Sustainability 2026, March 26–27, 2026, Brno, Czech Republic
dc.citation.spage	10
dc.citation.epage	22
dc.language.iso	en
dc.type.version	publishedVersion
dc.citation.rank	M33
dc.subject	ERP systems
dc.subject	security perception
dc.subject	user behaviour
dc.subject	ANOVA
dc.subject	demographic factors
dc.description.abstract	Enterprise resource planning (ERP) systems are integrated business platforms characterised by a high need for security, which is a fundamental requirement for efficient operation. Although many vendors include comprehensive security mechanisms in their ERP solutions, user perceptions of security are also crucial for adequate system adoption. This study examines users’ perceptions of ERP system security and reliability in relation to demographic characteristics. Analysis of Variance (ANOVA) was used to identify differences in responses. The empirical research included a sample of 206 ERP system users from organisations in Serbia. The ANOVA results show that user perceptions differ significantly by users’ level of education, the organisation’s industry sector and economic activity, and the frequency and duration of system use. These findings provide valuable insights into variations in perceptions of ERP system security and help identify behavioural patterns influenced by demographic factors.
dc.rights.license	CC-BY-SA
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.date.accessioned	2026-10-14T10:08:31Z
dc.description.provenance	Submitted by aradic@tfbor.bg.ac.rs on 2026-09-24 07:39:25.228842, with 2 file(s). Approved by Милица Ницуловић (mniculovic@tfbor.bg.ac.rs) on 2026-10-14T10:08:31Z.
dc.identifier.uri	https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/6131
dc.identifier.fulltext	https://repozitorijum.tfbor.bg.ac.rs/bitstream?id=d47a5d7f-07c6-4433-915e-08c74da65b64


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