Procena kvaliteta ERP rešenja kroz performanse sistema: dokazi zasnovani na ANOVA analizi iz diskretne i procesne industrije
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http://orcid.org/0000-0003-4253-8004
Sanela Arsić
http://orcid.org/0000-0002-1957-566X
Lidija Krstić
http://orcid.org/0009-0009-6618-4723
Apstrakt
Kvalitet ERP sistema igra ključnu ulogu u poboljšanju organizacione efikasnosti integrisanjem poslovnih procesa omogućavanjem razmene informacija u realnom vremenu. Međutim, percepcija kvaliteta ERP sistema može da varira u različitim industrijskim kontekstima. Ova studija ispituje da li postoje statistički značajne razlike u percipiranim performansama ERP sistema između korisnika u diskretnoj i procesnoj industriji. Empirijski podaci su prikupljeni putem onlajn ankete među 100 korisnika ERP sistema zaposlenih u preduzećima koja posluju u Srbiji. Kvalitet ERP sistema meren je efikasnošću pretrage podataka, vremenom učitavanja sistema, preuzimanjem podataka, kreiranjem dokumenata i izvršavanjem zadataka. Metoda analize varijanse (ANOVA) primenjena je za testiranje razlika u percepciji korisnika između dva tipa industrija. Rezultati ukazuju na statistički značajne razlike u percepcijama vezanim za efikasnost pretrage podataka i brzinu učitavanja sistema, dok nisu pronađene značajne razlike za preuzimanje podataka, kreiranje dokumenata i izvršavanje zadataka. Studija doprinosi literaturi pružajući empirijske dokaze o razlikama u percepciji performansi ERP sistema zasnovanim na industriji. Sa praktične perspektive, rezultati ističu važnost prilagođavanja dizajna i konfiguracije ERP sistema specifičnim operativnim potrebama različitih industrijskih okruženja. Buduća istraživanja bi mogla proširiti analizu uključivanjem dodatnih dimenzija kvaliteta ERP-a i šireg uzorka.
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Reference
[2] Akrong, G. B., Yunfei, S., Owusu, E., Development and validation of an improved DeLone-McLean IS success model – application to the evaluation of a tax administration ERP, Interna-tional Journal of Accounting Information Systems, 47 (2022), pp. 100579. https://doi.org/ 10.1016/j.accinf.2022.100579
[3] Balić, A., Turulja, L., Kuloglija, E., Pejić-Bach, M., ERP quality and the organizational per-formance: technical characteristics vs. information and service, Information, 13 (2022), 10, pp. 474. https://doi.org/10.3390/info13100474
[4] Brown, J. D., The Cronbach alpha reliability estimate, JALT Testing & Evaluation SIG News-letter, 6 (2002), 1.
[5] Cebekhulu, B., Ozor, P., The influence of quality management and ERP systems on organisa-tional culture and performance, Proceedings on Engineering Sciences, 4 (2022), 1, pp. 41–50. https://doi.org/10.24874/PES04.01.007
[6] Chang, S. I., Yen, D. C., Ng, C. S. P., Chang, I. C., Yu, S. Y., An ERP system performance assessment model development based on the balanced scorecard approach, Information Systems Frontiers, 13 (2011), 3, pp. 429–450. https://doi.org/10.1007/s10796-009-9225-5
[7] Itagi, F. S., Satish, J. G., Gaitonde, V. N., Kulkarni, V. N., Kotturshettar, B. B., Proceed-ings 3rd International Conference on Manufacturing, Material Science and Engineering (ICMMSE 2021), AIP Publishing LLC, July, 2023. https://doi.org/10.1063/5.0118996
[8] Lothary, D., Tomov, P., Dimitrov, L., Proceedings AIP Conference Proceedings, AIP Pub-lishing LLC, February, 2024. https://doi.org/10.1063/5.0195806
[9] Madapusi, A., D’Souza, D., The influence of ERP system implementation on the operational performance of an organization, International Journal of Information Management, 32 (2012), 1, pp. 24–34. https://doi.org/10.1016/j.ijinfomgt.2011.06.004
[10] Ouiddad, A., Okar, C., Chroqui, R., Beqqali Hassani, I., Assessing the impact of enterprise resource planning on decision-making quality: An empirical study, Kybernetes, 50 (2021), 5, pp. 1144–1162. https://doi.org/10.1108/K-04-2019-0273
[11] Shbail, M. O. A., Jaradat, Z., Baker, M. B., Almuiet, M., Individual and technological fac-tors affecting the adoption of enterprise resource planning systems in the Jordanian banking sector, International Journal of Business Information Systems, 45 (2024), 1, pp. 118–141. https://doi.org/10.1504/IJBIS.2024.135972
[12] Shen, Y. C., Chen, P. S., Wang, C. H., A study of enterprise resource planning (ERP) system performance measurement using the quantitative balanced scorecard approach, Computers in Industry, 75 (2016), pp. 127–139. http://dx.doi.org/10.1016/j.compind.2015.05.006
[13] Sternad Zabukovšek, S., Kalinic, Z., Bobek, S., Tominc, P., SEM–ANN based research of factors’ impact on extended use of ERP systems, Central European Journal of Operations Re-search, 27 (2019), 3, pp. 703–735. https://doi.org/10.1007/s10100-018-0592-1
[14] Stoker, P., Tian, G., Kim, J. Y., Analysis of variance (ANOVA), Basic Quantitative Research Methods for Urban Planners, Routledge, 2020.
[15] Wei, C. C., Evaluating the performance of an ERP system based on the knowledge of ERP implementation objectives, The International Journal of Advanced Manufacturing Technology, 39 (2008), 1, pp. 168–181. https://doi.org/10.1007/s00170-007-1189-3