Transforming ERP interfaces in production environments: An empirical evaluation using the User Experience Questionnaire
Article Sidebar
Open full text
Issue Vol. 21 No. 3 (2025)
-
Taming complexity: Generative doppelgangers for stochastic data trends in complex industrial manufacturing systems
Richard NASSO TOUMBA, Maxime MOAMISSOAL SAMUEL, Achille EBOKE, Boniface ONDO, Timothée KOMBE1-22
-
Kidney disease diagnosis based on artificial intelligence/deep learning techniques
Abeer ALSHIHA, Abdalrahman QUBAA23-37
-
Pulmonary diseases identification: Deep learning models and ensemble learning
Patrycja KWAŚNIEWSKA, Grzegorz ZIELIŃSKI, Paweł POWROŹNIK, Maria SKUBLEWSKA-PASZKOWSKA38-58
-
A machine learning approach for evaluating drop impact reliability of solder joints in BGA packaging
Venkata Naga Chandana YANAMURTHY, Venu Kumar NATHI59-71
-
Prediction of remaining useful life and downtime of induction motors with supervised machine learning
Muhammad Dzulfiqar ANINDHITO, SUHARJITO72-86
-
An ensemble model for maternal health risk classification in Delta State, Nigeria
Oghenevabaire EFEVBERHA-OGODO, Francisca A. EGBOKHARE, Fidelis O. CHETE87-98
-
Transforming ERP interfaces in production environments: An empirical evaluation using the User Experience Questionnaire
Anna HAMERA99-116
-
Systematic drift characterization in differential wheeled robot using external VR tracking: Effects of route complexity and motion dynamics
Stanisław Piotr SKULIMOWSKI, Szymon RYBKA, Bartosz TATARA, Michał Dawid WELMAN117-136
-
Wireless body area networks: A review of challenges, architecture, applications, technologies and interference mitigation for next-generation healthcare
Akeel Abdulraheem THULNOON, Ahmed Mahdi JUBAIR, Foad Salem MUBAREK, Senan Ali ABD137-161
-
Fuzzy logic in arrhythmia detection: A systematic review of techniques, applications, and clinical interpretability
Nadjem Eddine MENACEUR, Sofia KOUAH, Derdour MEKHLOUF, Khaled OUANES, Meryam AMMI162-181
-
Enhancing interpretability in brain tumor detection: Leveraging Grad-CAM and SHAP for explainable AI in MRI-based cancer diagnosis
Nasr GHARAIBEH182-197
-
Noise source analysis of the nitrogen generation system
Grzegorz BARAŃSKI198-209
Archives
-
Vol. 21 No. 3
2025-10-05 12
-
Vol. 21 No. 2
2025-06-27 12
-
Vol. 21 No. 1
2025-03-31 12
-
Vol. 20 No. 4
2025-01-31 12
-
Vol. 20 No. 3
2024-09-30 12
-
Vol. 20 No. 2
2024-08-14 12
-
Vol. 20 No. 1
2024-03-30 12
-
Vol. 19 No. 4
2023-12-31 10
-
Vol. 19 No. 3
2023-09-30 10
-
Vol. 19 No. 2
2023-06-30 10
-
Vol. 19 No. 1
2023-03-31 10
-
Vol. 18 No. 4
2022-12-30 8
-
Vol. 18 No. 3
2022-09-30 8
-
Vol. 18 No. 2
2022-06-30 8
-
Vol. 18 No. 1
2022-03-30 7
-
Vol. 17 No. 4
2021-12-30 8
-
Vol. 17 No. 3
2021-09-30 8
-
Vol. 17 No. 2
2021-06-30 8
-
Vol. 17 No. 1
2021-03-30 8
Main Article Content
DOI
Authors
Abstract
This study aims to evaluate the user experience (UX) of Enterprise Resource Planning (ERP) system modules in Polish enterprises' information and communication technology-based production environments. The research plan includes quantitative research as part of a doctoral thesis, which will be complemented by qualitative methods such as task-based usability tests, heuristic analysis and in-depth interviews with users. A descriptive research design was employed using an online survey incorporating the User Experience Questionnaire (UEQ) to gather quantitative data. The survey was distributed to a diverse group of respondents, including students, alumni, and production practitioners, to capture perceptions of three screens of the ERP system (General Operations Registration, Personalised Operations Registration, and Employee Panel Operations Registration), which enable the registration of operations. Raw responses from a seven-point Likert scale were transformed into a continuous scale and statistical analyses were conducted to compute descriptive metrics and confidence intervals. The findings indicate that the pragmatic dimensions — namely, perspicuity, efficiency, and dependability — received favourable evaluations, demonstrating robust usability and clear functionality. In contrast, the hedonic dimensions, particularly stimulation and novelty, were rated as neutral to negative. This suggests that, although the ERP modules effectively support routine tasks, they lack innovative appeal and engaging design. Benchmark comparisons revealed that the interfaces generally fell within the lower quartile, highlighting the need for targeted UI/UX refinements to enhance visual attractiveness and user motivation. In conclusion, the study highlights the importance of balancing functional performance with improved aesthetic and hedonic attributes to optimise the effectiveness of ERP systems in production engineering settings.
Keywords:
References
Alves, J., Lima, T. M., & Gaspar, P. (2023). Is Industry 5.0 a human‑centred approach? A systematic review. Processes, 11(1), 193. https://doi.org/10.3390/pr11010193 DOI: https://doi.org/10.3390/pr11010193
Antonowicz, M., & Zaborowski, H. (2023). Bezpapierowe łańcuchy dostaw – rola i znaczenie. Ekonomika I Organizacja Logistyki, 8(2), 121–141. https://doi.org/10.22630/EIOL.2023.8.2.16 DOI: https://doi.org/10.22630/EIOL.2023.8.2.16
Auksztol, J., Balwierz, P., & Chomuszko, M. (2015). SAP. Zrozumieć system ERP. Wydawnictwo Naukowe PWN.
Bonett, D. G. (2002). Sample size requirements for testing and estimating coefficient alpha. Journal of Educational and Behavioral Statistics, 27(4), 335–340. https://doi.org/10.3102/10769986027004335 DOI: https://doi.org/10.3102/10769986027004335
Callender, J., & Osburn, H. (2005). An empirical comparison of coefficient alpha, Guttman’s Lambda‑2, and MSPLIT maximized split‑half reliability estimates. Journal of Educational Measurement, 16(2), 89–99. https://doi.org/10.1111/j.1745-3984.1979.tb00090.x DOI: https://doi.org/10.1111/j.1745-3984.1979.tb00090.x
Chomuszko, M. (2016). System ERP – dobre praktyki wdrożeń. Wydawnictwo Naukowe PWN.
CK, A. F. B., & Setiawan, J. (2021). Analysis of user experience resource planning with user experience questionnaire framework (case study: Universitas Multimedia Nusantara). Journal of Multidisciplinary Issues, 1(2), 42–61. https://doi.org/10.53748/jmis.v1i2.21 DOI: https://doi.org/10.53748/jmis.v1i2.21
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555 DOI: https://doi.org/10.1007/BF02310555
Fokczyński, W. (2023). Wdrożenie systemu ERP jako decyzja o znaczeniu strategicznym w przedsiębiorstwie z sektora MŚP w Polsce. Informatyka w Biznesie, 41-56. http://dx.doi.org/10.15611/2023.81.7.04 DOI: https://doi.org/10.15611/2023.81.7.04
Gross-Gołacka, E., & Ożga, J. (2023). Kapitał intelektualny w organizacji wobec idei zrównoważonego rozwoju w dobie Społeczeństwa 5.0. Prakseologia i Zarządzanie, 1, 59-71.
Hamera, A. (2024). Rola doświadczeń użytkownika w erze Przemysłu 5.0. Zarządzanie Przedsiębiorstwem: Enterprise Management, 27(2), 7–15.
Hassenzahl, M., & Tractinsky, N. (2006). User experience – A research agenda. Behaviour & Information Technology, 25(2), 91–97. http://doi.org/10.1080/01449290500330331 DOI: https://doi.org/10.1080/01449290500330331
International Organization for Standardization. (2010). ISO 9241‑210:2010 Ergonomics of human‑system interaction: Human‑centred design for interactive systems. https://www.iso.org/standard/52075.html
Knosala, R. (2023). Inżynieria zarządzania. Cyfryzacja produkcji. Aktualności badawcze 5. Polskie Wydawnictwo Ekonomiczne.
Laugwitz, B., Held, T., & Schrepp, M. (2008). Construction and evaluation of a user experience questionnaire. In A. Holzinger (Ed.), HCI and Usability for Education and Work (Vol. 5298, pp. 63–76). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-89350-9_6 DOI: https://doi.org/10.1007/978-3-540-89350-9_6
Longo, F., Padovano, A., & Umbrello, S. (2020). Value‑oriented and ethical technology engineering in Industry 5.0: A human‑centric perspective for the design of the factory of the future. Applied Sciences, 10(12), 4182. http://dx.doi.org/10.3390/app10124182 DOI: https://doi.org/10.3390/app10124182
Matuszek, J., & Kurczyk, D. (2017). Projektowanie procesów i systemów produkcyjnych z wykorzystaniem technologii komputerowej wirtualizacji. Innowacje w zarządzaniu i inżynierii produkcji, 2(12), 741–752.
Mleczko, J. (2015). Integration of CAD/PDM and ERP systems in practice. Applied Mechanics and Materials, 791, 26–33. https://doi.org/10.4028/www.scientific.net/AMM.791.26 DOI: https://doi.org/10.4028/www.scientific.net/AMM.791.26
Mleczko, J. (2016). The paperless factory as a result of integration between CAD/PDM and ERP systems. In D. Plinta (Eds.), Advanced industrial engineering: Industry 4.0: monograph (pp. 57–72). Wydawnictwo Fundacji Centrum Nowych Technologii.
Munandar, F., & Santoso, H. B. (2025). User interface improvement by evaluating usability and user experience: Case study of Indonesia’s Government Financial Management Information System. The Indonesian Journal of Computer Science, 14(1), 249-266. https://doi.org/10.33022/ijcs.v14i1.4630 DOI: https://doi.org/10.33022/ijcs.v14i1.4630
Norman, D., & Nielsen, J. (1998, August 8). The definition of user experience. http://www.nngroup.com/about/userexperience.html
Nugraha, I., & Fatwanto, A. (2021). User experience design practices in industry (case study from Indonesian information technology companies). Electronics, Informatics, and Vocational Education, 6(1), 49-60. https://doi.org/10.21831/elinvo.v6i1.40958 DOI: https://doi.org/10.21831/elinvo.v6i1.40958
Parys, T. (2005). Bariery wdrożeniowe systemu zintegrowanego klasy ERP i ich postrzeganie przez użytkowników. In M. Rószkiewicz, E. Wędrowska (Eds.), Informacja w Społeczeństwie XXI wieku (Monografie i Opracowania No. 540).
Parys, T. (2010). Wdrożenie zintegrowanego systemu informatycznego klasy ERP jako zmiana organizacyjna. Informacja w Społeczeństwie XXI wieku.
Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8(4), 350-353. https://doi.org/10.1037/1040-3590.8.4.350 DOI: https://doi.org/10.1037//1040-3590.8.4.350
Schrepp, M. (2015). User experience questionnaire handbook. SAP Research. http://dx.doi.org/10.13140/RG.2.1.2815.0245
Schrepp, M., Hinderks, A., & Thomaschewski, J. (2017). Construction of a benchmark for the User Experience Questionnaire (UEQ). International Journal of Interactive Multimedia and Artificial Intelligence, 4(4), 40–44. http://doi.org/10.9781/ijimai.2017.445 DOI: https://doi.org/10.9781/ijimai.2017.445
Simundic, A.-M.(2008). Confidence interval. Biochemia Medica, 18(2), 154–161. https://doi.org/10.11613/BM.2008.015 DOI: https://doi.org/10.11613/BM.2008.015
Winter, J. (2025, January 22). Success factors for a paperless ecosystem in manufacturing. Jeff Winter Insights. https://www.jeffwinterinsights.com/insights/success-factors-for-a-paperless-ecosystem-in-manufacturing
Article Details
Abstract views: 120
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
