Abstract
Robotic Process Automation (RPA) originally entered the field of information systems as one of those disruptive innovations that will, among other automation solutions, have a profound effect on job descriptions and work itself in near future. One of the sectors that will be revolutionized – and are in fact already changing – are financial and human resource (HR) services, such as accounting, billing, and payroll services. According to statistics, Finnish companies operating on the administrative and support services sector make little use of service robots. Companies that have initially adopted the technology do not necessary reach its full potential. We explore what factors create challenges for the continued adoption of robotic process automation by investigating two companies and using interpretive case study as our research method. The two companies are service centers. They operate on the public sector in Finland and provide financial and HR services for their owner-clients. The findings of this study include insights into the key factors that affect continued adoption of RPA, and these point towards an expanded model of Innovation-Decision Process where iterations of a new decision are triggered by new ideas on how to use the innovation.
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References
Official Statistics of Finland (OSF): Use of information technology in enterprises. ISSN 1797-2957 (2020). Attachment table 6 2020. Statistics Finland, Helsinki. Accessed 18 Apr 2021
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–339 (1989)
Fishbein, M., Ajzen, I.: Predicting and Changing Behavior: The Reasoned Action Approach. Psychology Press, New York (2010)
Ajzen I.: The theory of planned behavior. In: Organizational Behavior and Human Decision Processes, vol. 50, no. 2, 1991, pp.179–211. Elsevier (1991)
Rogers, E.M.: Diffusion of Innovations, 5th edn. Free Press, New York (2003)
Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991)
Venkatesh, V., Morris, M.G., Gordon, B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Van Slyke, C., Belanger, F., Comunale, C.L.: Factors influencing the adoption of web-based shopping: the impact of trust. Data Base Adv. Inf. Syst. 35(1), 32–49 (2004)
Susanto, A., Lee, H., Zo, H., Ciganek, A.: User acceptance of Internet banking in Indonesia: initial trust formation. Inf. Dev. 29(4), 309–322 (2013). https://doi.org/10.1177/0266666912467449
Chauhan, S., Jaiswal, M., Rai, S., Motiwalla, L., Pipino, L.: Determinants of adoption for open-source office applications: a plural investigation. Inf. Syst. Manag. 35(2), 80–97 (2018). https://doi.org/10.1080/10580530.2018.1440728
Obal, M.: What drives post-adoption usage? Investigating the negative and positive antecedents of disruptive technology continuous adoption intentions. Ind. Mark. Manag. 63, 42–52 (2017). https://doi.org/10.1016/j.indmarman.2017.01.003
Jia, Q., Guo, Y., Barnes, S.: Enterprise 2.0 post-adoption: extending the information system continuance model based on the technology-Organization-environment framework. Comput. Human Behav. 67, 95–105 (2017). https://doi.org/10.1016/j.chb.2016.10.022
Bayerl, P., Lauche, K., Axtell, C.: Revisiting group-based technology adoption as a dynamic process: the role of changing attitude-rationale configurations. MIS Q. 40(3), 775–784 (2016). https://doi.org/10.25300/MISQ/2016/40.3.12
Makkonen, H., Johnston, W.J., Javalgi, R.G.: A behavioral approach to organizational innovation adoption. J. Bus. Res. 69(7), 2480–2489 (2016). https://doi.org/10.1016/j.jbusres.2016.02.017
Jahanmir, S.F., Cavadas, J.: Factors affecting late adoption of digital innovations. J. Bus. Res. 88, 337–343 (2018). https://doi.org/10.1016/j.jbusres.2018.01.058
Chiyangwa, T.B., Alexander (Trish), P.M: Rapidly co-evolving technology adoption and diffusion models. Telem. Inform. 33, 56–76 (2016). https://doi.org/10.1016/j.tele.2015.05.004
Bian, Y., Kang, L., Zhao, J.L.: Dual decision-making with discontinuance and acceptance of information technology: the case of cloud computing. Internet Res. 30(5), 1521–1546 (2020). https://doi.org/10.1108/INTR-05-2019-0187
Furneaux, B., Wade, M.: An exploration of organizational level information systems discontinuance intentions. MIS Q. 35(3), 573–598 (2011). https://doi.org/10.2307/23042797
Jacobsen, D.I.: Adopting and refining e-services — the role of organization size. Public Organ. Rev. 18(1), 111–123 (2016). https://doi.org/10.1007/s11115-016-0364-0
Kaushik, S.: Critical parameters for successful process automation. Softw. Qual. Prof. 20(4), 22–32 (2018)
Cooper, L.A., Holderness, D.K., Sorensen, T.L., Wood, D.A.: Robotic process automation in public accounting. Account. Horiz. 33(4), 15–35 (2019). https://doi.org/10.2308/acch-52466
Syed, R., et al.: Robotic Process automation: contemporary themes and challenges. Computers in Industry 115, 103162 (2020). https://doi.org/10.1016/j.compind.2019.103162
Appelbaum, D., Nehmer, R.: The coming disruption of drones, robots, and bots – how will it affect CPAs and accounting practise? CPA J. 87, 40–44 (2017)
Asatiani, A., Penttinen, E.: Turning robotic process automation into commercial success – case OpusCapita. J. Inf. Technol. Teach. Cases 6(2), 67–74 (2016). https://doi.org/10.1057/jittc.2016.5
Tietz, W., Cainas, J.M., Miller-Nobles, T.L.: The bots are coming... to intro accounting. Strateg. Finan. 102(2), 24–29 (2020)
Lacurezeanu, R., Tiron-Tudor, A., Bresfelean, V.: Robotic process automation in audit and accounting. Audit financiar, 18(160), 752–770 (2020). https://doi.org/10.20869/AUDITF/2020/160/752
Gotthardt, M., Koivulaakso, D., Paksoy, O., Saramo, C., Martikainen, M., Lehner, O.: Current state and challenges in the implementation of smart robotic process automation in accounting and auditing. ACRN J. Finan. Risk Perspect. 9(1), 90–102 (2020). https://doi.org/10.35944/jofrp.2020.9.1.007
Figueiredo, A.S., Pinto, L.H.: Robotizing shared service centres: key challenges and outcomes. J. Serv. Theory Pract. 31(1), 157–178 (2020). https://doi.org/10.1108/JSTP-06-2020-0126
Frey C.B., M.A. Osborne, M.A.: The Future of Employment: How Susceptible are Jobs to Computerisation. https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf. Accessed 17 Spet 2013
Mir, U.B., Sharma, S., Kar, A.K., Gupta, M.P.: Critical success factors for integrating artificial intelligence and robotics. Digit. Pol. Regul. Gov. 22(4), 307–331 (2020). https://doi.org/10.1108/DPRG-03-2020-0032
Brougham, D., Haar, J.M., Tootell, B.: Service sector employee insights into the future of work and technological disruption. New Zealand J. Employ. Relat. 44(1), 21–36 (2019)
University of Tampere, Työhyvinvoinnin tutkimusryhmä. Referenssit – Palvelukeskuksille robotteja, työhyvinvoinnin edistäminen (PaRot) – Digikaveri kollegaksi, miten uhka muutetaan mahdollisuudeksi (TSR) 2017–2018. https://research.tuni.fi/tyohyvinvointi/referenssit/. Accessed 5 May 2021
Walsham, G.: Interpretive case studies in IS research: nature and method. Eur. J. Inf. Syst. 4(2), 74–81 (1995). https://doi.org/10.1057/ejis.1995.9
Meyers, M.D.: Qualitative Research in Business and Management, 3rd edn. SAGE Publications Ltd., London (2020)
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Sarilo-Kankaanranta, H., Frank, L. (2022). The Continued Innovation-Decision Process – A Case Study of Continued Adoption of Robotic Process Automation. In: Themistocleous, M., Papadaki, M. (eds) Information Systems. EMCIS 2021. Lecture Notes in Business Information Processing, vol 437. Springer, Cham. https://doi.org/10.1007/978-3-030-95947-0_52
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