The Social Perspective and the Role of Humans in the Acceptance of RPA Technology in Public Institutions
By: Paula Pypłacz and Magda Pietrzyk
References
- Ahn, M. J., Chen, Y. C., 2022. Digital transformation toward AI-augmented public administration: The perception of government employees and the willingness to use AI in government. Government Information Quarterly, 39(2), 101664. DOI: 10.1016/j.giq.2021.101664
- Baroroh, D.K., 2021. Systematic literature review on augmented reality in smart manufacturing. Journal of Manufacturing Systems. Volume 61, 696-711. DOI: 10.1016/j.jmsy.2020.10.017
- Becerra-Rico, J., 2022. The Augmented Worker. Computer Science and Engineering, Luleå University of Technology.
- Braun, V., Clarke, V., 2006. Using Thematic Analysis in Psychology, Qualitative Research in Psychology, vol. 3(2), s. 77–101.
- Daugherty, R., Wilson, H. J., 2018. Human + machine: Reimagining work in the age of AI. Harvard Business Review Press, 9. DOI: 10.3389/frobt.2022.997386
- Davis, F. D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
- Deloitte, 2025. AI-augmented government. Insights and strategies. Using cognitive technologies to redesign public sector work, access: https://www.deloitte.com/content/dam/insights/articles/2024/3832_ai-augmented-government/dup-ai-augmented-government.pdf
- Di Pasquale, V., 2022. Smart operators: how augmented and virtual technologies affect worker performance. Journal of Industrial Engineering and Management, 15(2). DOI: 10.3926/jiem.3607
- Ejdys, J., 2019. Zaufanie do technologii w e-administracji. Seminarium naukowe Dyscypliny Nauki o Zarządzaniu i Jakości, Politechnika Warszawska.
- Fernandez, D., Aman, A., 2018. Impacts of robotic process automation on global accounting services. Asian Journal of Accounting and Governance, 9(1), 127–140.
- Gromadka, D., 2020. Modele akceptacji technologii-krytyczna analiza piśmiennictwa. Akademia Zarządzania, 4(2).
- Hallikainen, P., Bekkhus, R., Pan, S. L., 2018. How OpusCapita used internal RPA capabilities to offer services to clients. MIS Quarterly Executive, 17(1), 41–52.
- Henk, A., Henk, O., 2025. From Antecedents to Outcomes: A Structured Literature Review on AI Implementation in Public Sector Organizations. Proceedings of the 58th Hawaii International Conference on System Sciences
- Jeffri, N.F.S., 2021. A review of augmented reality systems and their effects on mental workload. Applied Ergonomics, 7(3), DOI: 10.1016/j.heliyon.2021.e06277
- Kokina, J., Blanchette, S., 2019. Early evidence of digital labor in accounting: Innovation with robotic process automation. International Journal of Accounting Information Systems, 35, 100431.
- Mayring, P., 2025. Qualitative Content Analysis With ChatGPT: Pitfalls, Rough Approximations and Gross Errors-A Field Report. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 26(1), DEU. DOI: 10.17169/fqs-26.1.4252
- Moghaddam, M., 2021. Exploring augmented reality for worker assistance versus traditional methods. International Journal of Human-Computer Studies, 50, DOI: 10.1016/j.aei. 2021.101410
- Porubčinová, M., Fidlerová, H. 2020. Determinants of industry 4.0 technology adaption and human-Robot collaboration. Vedecké Práce Materiálovotechnologickej Fakulty Slovenskej Technickej Univerzity v Bratislave so Sídlom v Trnave, 28(46), 10-21. DOI 10.2478/rput-2020-0002
- Pypłacz, P., 2024. Uwarunkowania akceptacji technologii RPA w automatyzacji procesów biznesowych małych i średnich przedsiębiorstw. Wydawnictwo Politechniki Częstochowskiej, Czestochowa.
- Romero, D., Stahre, J., Taisch, M., 2020. The Operator 4.0: Towards socially sustainable factories of the future. Computers & Industrial Engineering, 139, 106128. DOI: 10.3389/frobt.2022.997386
- Singh, V. K., Sinha, K. 2025. Application of the Technology Acceptance Model (TAM) in the Context of NBFC Customers. International Journal of Latest Technology in Engineering, Management & Applied Science, 14(7), 846-855. DOI: 10.51583/IJLTEMAS.2025.1407000102
- Sulkowski, L., Pypłacz, P., Sasak, J., 2025. Determinants of the acceptance of RPA technology in a medical facility. Forum Scientiae Oeconomia, 13(1), 40–56. DOI: 10.23762/FSO_VOL13_NO1_7
- Syed, R., Suriadi, S., Adams, M., et al., 2020. Robotic process automation: Contemporary themes and challenges. Computers in Industry, 115, 103162. DOI: 10.1016/j.compind.2019.103162
- Tangi, L., Müller, A. P. R., Janssen, M., 2025. AI-augmented government transformation: Organisational transformation and the sociotechnical implications of artificial intelligence in public administrations. Government Information Quarterly, 42(10205), 5. DOI: 10.1016/j.giq.2025.102055
- Venkatesh, V., Davis, F. D., 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. DOI: 10.1287/mnsc.46.2.186.11926
- Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D. 2003. User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, 27(3), s. 425-478.
- Venkatesh, V., Thong, J. 2016. Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems. Vol. 17 Issue 5, 328 – 376. DOI: 10.17705/1jais.00428
- Wahyujatmiko, R. S. 2025. Consumer Behavior toward Digital Transactions Using QRIS: A Technology Acceptance Model (TAM) Approach. Nomico, 2(9), 57-69. DOI: 10.62872/myxck774
- Walker, G. H., Stanton, N. A., Salmon, P. M., Jenkins, D. P., 2008. A review of sociotechnical systems theory: a classic concept for new command and control paradigms. Theoretical issues in ergonomics science, 9(6), 479-499. DOI: 10.1080/14639220701635470
DOI: https://doi.org/10.2478/czoto-2025-0033 | Journal eISSN: 2657-5450
Language: English
Page range: 351 - 363
Submitted on: Dec 6, 2025
Accepted on: Dec 13, 2025
Published on: Jan 22, 2026
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2026 Paula Pypłacz, Magda Pietrzyk, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.