Robotic Process Automation in Action : A Use Case in Accounting Task

Dicky Arie Sandy, Hamzah Ritchi, Zaldy Adrianto, Adhi Alfian

Abstract

Robotic Process Automation (RPA) allow people focus on meaningful tasks rather than transferrable recurring and non-value-added ones. Whereas it provides an opportunity to foster agility and productivity, RPA is also perceived to put accountants at risk as many repetitive processes clinging to the profession can be substituted by the technology. As there is little study on how RPA is immersed into play this research aims to fill this spot by designing RPA solution for typical accounting taks in telecommunication entity. Design science methodology (DSR) was employed to guide the process of artifact development. Building on the initial as-is process model, RPA-oriented process model was then produced and then processed according to DSR method into an instantiation. The accounting task design result shows substantive progress in average throughput time from pre-RPA task 02:41 minutes to post-RPA of 19 seconds with no error conceded, thus creating 7 times faster processing. The current research is an important breakthrough for organizations to foster adaptive business process, especially in accounting domain.

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References

Aguirre, S., & Rodriguez, A. (2017). Automation of a business process using robotic process automation (RPA): A case study. May. https://doi.org/10.1007/978-3-319-66963-2

Dresch, A., Lacerda, D. P., & Antunes, J. A. V. (2015). Design-science research: A method for science and technology advancement. In Springer. https://doi.org/10.1016/B978-0-08-102220-7.00011-X

Gartner. (2021). Gartner Forecasts Worldwide Low-Code Development Technologies Market to Grow 23% in 2021. In Press Releases.

Geerts, G. L. (2011). A design science research methodology and its application to accounting information systems research. International Journal of Accounting Information Systems, 12(2), 142–151.

Gonzalez-huerta, J., B, A. B., & Mili, H. (2017). A Business Process Re-Engineering Approach to Transform BPMN Models to Software Artifacts A Business Process Re-Engineering Approach to Transform BPMN Models. January 2018. https://doi.org/10.1007/978-3-319-59041-7

Health and Safety Executive. (2020). Work-related stress , anxiety or depression statistics in Great Britain , 2019. In Annual Statistics.

Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28(1), 75–105. https://doi.org/10.2307/25148625

Hofmann, P., Samp, C., & Urbach, N. (2020). Robotic process automation. Electronic Markets, 30(1), 99–106. https://doi.org/10.1007/s12525-019-00365-8

Kokina, J., & Blanchette, S. (2019). Early evidence of digital labor in accounting: Innovation with Robotic Process Automation. International Journal of Accounting Information Systems, 35(November 2019). https://doi.org/10.1016/j.accinf.2019.100431

Leopold, H., Smirnov, S., & Mendling, J. (2010). Refactoring of process model activity labels. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6177 LNCS(June), 268–276. https://doi.org/10.1007/978-3-642-13881-2_28

Manyika, J., Chui, M., & Bughin, J. (2013). Disruptive technologies: Advances that will transform life, business, and the global economy. McKinsey Global Institute, May, 163.

Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., Ko, R., & Saurab, S. (2017). Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation. McKinsey Global Institute, December, 28.

March, S. T., & Smith, G. F. (1995). Design and natural science research on information technology. Decision Support Systems, 15, 251–266.

Osman, C.-C. (2019). Robotic Process Automation: Lessons Learned from Case Studies. Informatica Economica, 23(4/2019), 66–71. https://doi.org/10.12948/issn14531305/23.4.2019.06

Peffer, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2008). A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems, 24(3), 45–78.

Romney, M. B., & Steinbart, P. J. (2018). Accounting Information Systems (14b ed.). Pearson.

Syed, R., Suriadi, S., Adams, M., Bandara, W., Leemans, S. J. J., Ouyang, C., Arthur, H. M., Weerd, I. Van De, Thandar, M., & Reijers, H. A. (2020). Computers in Industry Robotic Process Automation : Contemporary themes and challenges. Computers in Industry, 115, 103162. https://doi.org/10.1016/j.compind.2019.103162

Trzyna, D., Kuyumcu, A., & Lödding, H. (2012). Throughput Time Characteristics of Rush Orders and their Impact on Standard Orders. 3, 311–316. https://doi.org/10.1016/j.procir.2012.07.054

Walls, J. G., Widmeyer, G. R., & El sawy, O. A. (1992). Building an information system design theory for vigilant EIS.

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