Assessing ERP solution quality through system performance: ANOVA-based evidence from discrete and process industries

Radić, Aleksandra; Arsić, Sanela; Janković, Lidija

doi:10.24094/ptk.026.1.221

Conference Object Open access M33

Radić et al., 2026.pdf (818.11KB)

2026

Radić, Aleksandra
Arsić, Sanela
Janković, Lidija

Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije (SMEITS), Društvo za procesnu tehniku

Zbornik radova - 39. Međunarodni kongres o procesnoj industriji, PROCESING ‘26, Negotin, 3. i 4. jun 2026 [Elektronski izvor]

221

228

English

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

Procena kvaliteta ERP rešenja kroz performanse sistema: dokazi zasnovani na ANOVA analizi iz diskretne i procesne industrije

Enterprise Resource Planning (ERP) system quality plays a critical role in improving organi-sational efficiency by integrating business processes and enabling real-time information exchange. However, perceptions of ERP system quality may vary across different industrial contexts. This study examines whether statistically significant differences exist in perceived ERP system performance between users in discrete and process industries. Empirical data were collected through an online survey of 100 ERP users employed in enterprises operating in Serbia. ERP system quality was mea-sured by data search efficiency, system loading time, data downloading, document creation, and task execution. The analysis of variance (ANOVA) method was applied to test differences in user percep-tions between the two industry types. The results indicate statistically significant differences in per-ceptions related to data search efficiency and system loading speed, while no significant differences were found for data downloading, document creation, and task execution. The study contributes tothe literature by providing empirical evidence on industry-based differences in ERP system perfor-mance perceptions. From a practical perspective, the results highlight the importance of adapting ERP system design and configuration to the specific operational needs of different industrial envi-ronments. Future research could extend the analysis by including additional ERP quality dimensions and a broader sample.

ERP system quality, ANOVA, discrete industry, process industry

DOI

10.24094/ptk.026.1.221

ISBN

978-86-85535-26-0

URI

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

Scopus

OpenCitations

dc.creator	Radić, Aleksandra
dc.creator	Arsić, Sanela
dc.creator	Janković, Lidija
dc.title	Assessing ERP solution quality through system performance: ANOVA-based evidence from discrete and process industries
dc.title.alternative	Procena kvaliteta ERP rešenja kroz performanse sistema: dokazi zasnovani na ANOVA analizi iz diskretne i procesne industrije
dc.date.issued	2026
dc.publisher	Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije (SMEITS), Društvo za procesnu tehniku
dc.identifier.doi	10.24094/ptk.026.1.221
dc.identifier.isbn	978-86-85535-26-0
dc.type	conferenceObject
dc.source	Zbornik radova - 39. Međunarodni kongres o procesnoj industriji, PROCESING ‘26, Negotin, 3. i 4. jun 2026 [Elektronski izvor]
dc.citation.spage	221
dc.citation.epage	228
dc.language.iso	en
dc.type.version	publishedVersion
dc.citation.rank	M33
dc.subject	ERP system quality
dc.subject	ANOVA
dc.subject	discrete industry
dc.subject	process industry
dc.description.abstract	Enterprise Resource Planning (ERP) system quality plays a critical role in improving organi-sational efficiency by integrating business processes and enabling real-time information exchange. However, perceptions of ERP system quality may vary across different industrial contexts. This study examines whether statistically significant differences exist in perceived ERP system performance between users in discrete and process industries. Empirical data were collected through an online survey of 100 ERP users employed in enterprises operating in Serbia. ERP system quality was mea-sured by data search efficiency, system loading time, data downloading, document creation, and task execution. The analysis of variance (ANOVA) method was applied to test differences in user percep-tions between the two industry types. The results indicate statistically significant differences in per-ceptions related to data search efficiency and system loading speed, while no significant differences were found for data downloading, document creation, and task execution. The study contributes tothe literature by providing empirical evidence on industry-based differences in ERP system perfor-mance perceptions. From a practical perspective, the results highlight the importance of adapting ERP system design and configuration to the specific operational needs of different industrial envi-ronments. Future research could extend the analysis by including additional ERP quality dimensions and a broader sample.
dc.rights.license	CC-BY
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.date.accessioned	2026-10-07T11:11:42Z
dc.description.provenance	Submitted by aradic@tfbor.bg.ac.rs on 2026-09-24 08:21:26.01799, with 2 file(s). Approved by Милица Ницуловић (mniculovic@tfbor.bg.ac.rs) on 2026-10-07T11:11:42Z.
dc.identifier.uri	https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/6134
dc.identifier.fulltext	https://repozitorijum.tfbor.bg.ac.rs/bitstream?id=2ecb9b90-fd4e-4d7d-826a-016c4deb3031


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