Robotic Process Automation Implementation in Financial Accounting Segment of Business Organizations in Thailand
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Abstract
This article aimed to study 1) the influence of social impact on intentions to use RPA software. 2) the influence of a supportive organizational environment on the intention to use RPA software. 3) the influence of social impact on intention to use RPA through a supportive organizational environment. 4) the influence of social impact and a supportive organizational environment on the usage of RPA in the financial accounting work section through intention to use RPA. The sample consisted of 167 members of the RPA services company's client in Thailand who had previously used or are currently using RPA software. They were selected by the purposive method. Data was collected via a mailing questionnaire and online questioning. Data analysis statistics included frequency, percentages, mean, standard deviations, quality indicators, and structural models.
According to the study's findings, 1) social impact has a statistically significant positive influence on the supportive organizational environment at the level of 0.000. 2) A supportive organizational environment has a statistically significant positive influence on the intention to use RPA software. 3) Social impact has a statistically significant positive influence on intention to use RPA through a supportive organizational environment. 4) Social impacts and a supportive organizational environment have a statistically significant positive influence on the usage of RPA in the financial accounting work section through intention to use RPA at the level of 0.000.
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References
Balázs, G. (n.d.). Future of Finance. https://www.pwc.com/hu/en/kiadvanyok/assets/pdf/fof_kiadvany_final_EN.pdf
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
Deloitte. (2019, October 15). Internal Controls Over Financial Reporting Considerations for Developing and Implementing Bots. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/audit/us-audit-internal-controls-over-financial-reporting-considerations-for-developing-and-implementing-bots.pdf
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
Faul, F., Erdfelder, E., Lang, AG., & et al. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191.
Fernandez, D., & Aman, A. (2018). Impacts of Robotic Process Automation on Global Accounting Services. Asian Journal of Accounting & Governance, 9, 123-131. DOI:10.17576/AJAG-2018-09-11
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
FRONTIS. (2022, November 3). Moving beyond RPA to IPA – from the era of robots helping to work according to orders to the era of using AI to help expand the work process. https://frontiscompany.com/the-transformation-from-rpa-to-ipa
G-Able. (2022, September 1). RPA: Long-Term Cost Savers. Work Smarter in Digital Age. https://www.g-able.com/th/insights/what-is-rpa
Gotthardt, M., Koivulaakso, D., Paksoy, O., Saramo, C., Martikainen, M., & Lehner, O. (2020). Current State and Challenges in the Implementation of Smart Robotic Process Automation in Accounting and Auditing. ACRN Oxford Journal of Finance & Risk Perspectives, 9, 90-102.
Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405-431.
Kline, R. B. (2011). Convergence of structural equation modeling and multilevel modeling. In M. Williams & W. P. Vogt (Eds.), The SAGE handbook of innovation social research methods (pp. 562-589). Sage.
Khumwong, P. (2022). Factors influencing work efficiency of software robotic process automation (RPA): A case study of the manufacturing industry[Master’s thesis, Thammasat University].
Kokina, J., Gilleran, R., Blanchette, S., & Stoddard, D. (2021). Accountant as Digital Innovator: Roles and Competencies in the Age of Automation. Accounting Horizons, 35(1), 153-184.
Lauro, C., & Vinzi, V. E. (2004). Some contributions to PLS Path Modeling and a system for the European Customer Satisfaction. Dipartimento di Matematica e Statistica, Universita Federico II di Napoli, 201-210.
Montree, P. (2021). Sample size determination for Structural Equation Modeling (SEM). The Journal of Industrial Technology, 17(3), 232-246.
Moffitt, K. C., Rozario, A. M., & Vasarhelyi, M. A. (2018). Robotic Process Automation for Auditing. Journal of Emerging Technologies in Accounting, 15(1), 1-10.
Mookerjee, J., & Rao, O. R. S. (2021). A Review of the Robotic Process Automation’s Impact as a Disruptive Innovation in Accounting and Audit. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 3675-3682.
Osinubi, F. (2018, July). Leveraging the Power of AI and Robotics. Digital Disruption. https://www.pwc.com/ng/en/assets/pdf/leveraging-power-ai-and-robotics.pdf
Rethink Academy. (2022, February 17). Course to upgrade to organizational automation (RPA) for executives. https://www.skto.moph.go.th/document_file/predev_file_name/20220226_033817.pdf
Richter, N. F., Hauff, S., Ringle, C. M., & Gudergan, S. P. (2022). The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research. Management International Review (MIR), 62(4), 449-470.
Ringle, C. M., Wende, S., & Becker, J.M. (2024). SmartPLS 4. Monheim am Rhein: SmartPLS. http://www.smartpls.com
Suksamai, C. (n.d.). Technology and accounting in the era 4.0. https://www.daa.co.th/en/news/audit-news/item/219
Taweelappontong, V. (2017, November 30). Move forward with “Automation” to cope with the digital labor market. https://www.pwc.com/th/en/pwc-thailand-blogs/blog-20171130.html
Trevechvinij, P. (2023, March 16). RPA Accountant Robot[Conference presentation]. Training seminar on the Certificate of Digital Accountant course, Class 1/66 (Course 4), Bangkok, Thailand.
Tucker, I. (2017, May 1). The blueprint for continuous accounting. https://www.thefreelibrary.com/The+blueprint+for+continuous+accounting.-a0494889942
Venkatesh, V., & Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
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), 425-478.
Visedsun, N., Terdpaopong, K., & Chotkunakitti, P. (2022). How Accountants’ Roles and Responsibilities Change as Organizations Adopt Digital Technologies in Information Systems: An Accountant’s Perspective in Big Business. Journal of Accounting Profession, 19(61), 35-62.
Warueangsri, N. (2020). Influencing Factors in HR-online Acceptance and Use in Rangsit University [Master’s thesis, Rangsit University].
Wedel, F. (2020). Robotic Process Automation: A Systematic Literature Review. Management in the Digital Age, 11.
Willcocks, L., Lacity, M., & Craig, A. (2017, March 13). Robotic process automation: Strategic transformation lever for global business services. https://econpapers.repec.org/paper/ehllserod/71146.htm