nach oben

Erschienen in:

2021 | OriginalPaper | Buchkapitel

The Future of Robotic Process Automation (RPA)

verfasst von : Aditya Ghose, Geeta Mahala, Simon Pulawski, Hoa Dam

Erschienen in: Service-Oriented Computing – ICSOC 2020 Workshops

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

While there has been considerable industry interest in the deployment and uptake of Robotic Process Automation (RPA) technology, very little has been done by way of generating technological foresight into the manner in which RPA systems might evolve in the short- to medium-term. This paper seeks to fill that gap.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Software Reliability Engineering for Resilient Cloud Operations

Nächstes Kapitel Adaptive Summaries: A Personalized Concept-Based Summarization Approach by Learning from Users’ Feedback

van der Aalst, W.M.P., Bichler, M., Heinzl, A.: Robotic process automation. Bus. Inf. Syst. Eng. 60(4), 269–272 (2018). https://doi.org/10.1007/s12599-018-0542-4

Bendoly, E., Cotteleer, M.J.: Understanding behavioral sources of process variation following enterprise system deployment. J. Oper. Manag. 26(1), 23–44 (2008)CrossRef

Billiau, G., Chang, C.F., Ghose, A.: SBDO: a new robust approach to dynamic distributed constraint optimisation. In: Desai, N., Liu, A., Winikoff, M. (eds.) PRIMA 2010. LNCS (LNAI), vol. 7057, pp. 11–26. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-25920-3_2CrossRef

Cheng, E.: An execution model for process mapping and process automation in a distributed business environment. In: The Second Pacific Asia Conference on Information Systems, PACIS 1995, Singapore, 29 June–2 July 1995, p. 32. AISeL (1995). http://aisel.aisnet.org/pacis1995/32

Ghose, A., Goebel, R.: Belief states as default theories: studies in non-prioritized belief change. ECAI 98, 8–12 (1998)

Gupta, P., Fernandes, S.F., Jain, M.: Automation in recruitment: a new frontier. J. Inf. Technol. Teach. Cases 8(2),118–125 (2018). https://doi.org/10.1057/s41266-018-0042-x. http://link.springer.com/10.1057/s41266-018-0042-x

Hermosillo, G., Seinturier, L., Duchien, L.: Using complex event processing for dynamic business process adaptation. In: 2010 IEEE International Conference on Services Computing, pp. 466–473. IEEE (2010)

Šimek, D., Šperka, R.: How robot/human orchestration can help in an hr department: a case study from a pilot implementation. Organizacija 52(3) (2019). http://organizacija.fov.uni-mb.si/index.php/organizacija/article/view/1026

Kobayashi, T., Arai, K., Imai, T., Tanimoto, S., Sato, H., Kanai, A.: Communication robot for elderly based on robotic process automation. In: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), vol. 2, pp. 251–256, July 2019. https://doi.org/10.1109/COMPSAC.2019.10215

10.

Koliadis, G., Ghose, A.K., Padmanabhuni, S.: Towards an enterprise business process architecture standard. In: 2008 IEEE Congress on Services-Part I, pp. 239–246. IEEE (2008)

11.

Kukreja, M.: Study of robotic process automation (RPA). Int. J. Recent Innov. Trends Comput. Commun. 4(6), 434–437 (2016)

12.

Kurniawan, T.A., Ghose, A.K., Lê, L.-S., Dam, H.K.: On formalizing inter-process relationships. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011. LNBIP, vol. 100, pp. 75–86. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28115-0_8CrossRef

13.

Lacity, M.C., Willcocks, L.P.: A new approach to automating services. MIT Sloan Manag. Rev. 58(1), 41–49 (2016)

14.

Lin, S.C., Shih, L.H., Yang, D., Lin, J., Kung, J.F.: Apply RPA (robotic process automation) in semiconductor smart manufacturing. In: 2018 e-Manufacturing Design Collaboration Symposium (eMDC), pp. 1–3, September 2018

15.

Mahala, G.: Improving RPA Technology. Master of research (computer science) thesis, School of Computing and Information Technology, University of Wollongong (2020)

16.

Mendling, J., Decker, G., Hull, R., Reijers, H.A., Weber, I.: How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? Commun. Assoc. Inf. Syst. 43(19), 297–320 (2018)

17.

Meyer, T., Ghose, A., Chopra, S.: Social choice, merging, and elections. In: Benferhat, S., Besnard, P. (eds.) ECSQARU 2001. LNCS (LNAI), vol. 2143, pp. 466–477. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44652-4_41CrossRefMATH

18.

Penttinen, E., Kasslin, H., Asatiani, A.: How to choose between robotic process automation and back-end system automation? In: 26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018, Portsmouth, UK, 23–28 June 2018, p. 66 (2018). https://aisel.aisnet.org/ecis2018_rp/66

19.

Ponnalagu, K., Ghose, A., Narendra, N.C., Dam, H.K.: Goal-aligned categorization of instance variants in knowledge-intensive processes. In: Motahari-Nezhad, H.R., Recker, J., Weidlich, M. (eds.) BPM 2015. LNCS, vol. 9253, pp. 350–364. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-23063-4_24CrossRef

20.

Rao, A.S.: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Van de Velde, W., Perram, J.W. (eds.) MAAMAW 1996. LNCS, vol. 1038, pp. 42–55. Springer, Heidelberg (1996). https://doi.org/10.1007/BFb0031845CrossRef

21.

Rao, A.S., Georgeff, M.P.: Modeling rational agents within a BDI-architecture. KR 91, 473–484 (1991)MathSciNetMATH

22.

Rizk, Y., et al.: A conversational digital assistant for intelligent process automation. In: Asatiani, A., et al. (eds.) BPM 2020. LNBIP, vol. 393, pp. 85–100. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58779-6_6CrossRef

23.

Roy, P., Dickinson, P.: How robotic process automation and artificial intelligence will change outsourcing. Mayer Brow, 65–70 (2016. https://m.mayerbrown.com/files/Event/7b819bc0-d4e5-4042-9aa5-f38885e1dbee/Presentation/EventAttachment/a71c0fcc-14a6-40a6-8e60-ab700e8eb357/160607-CHI-SEMINAR-BTS-Best-Practices-Robotic.pdf. Accessed 17 Jan 2019

24.

Singh, M.P.: Norms as a basis for governing sociotechnical systems. ACM Trans. Intell. Syst. Technol. (TIST) 5(1), 1–23 (2014)

25.

Sombattheera, C., Ghose, A.: A best-first anytime algorithm for computing optimal coalition structures (short paper)

26.

Vergidis, K., Tiwari, A., Majeed, B.: Business process analysis and optimization: beyond reengineering. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 38(1), 69–82 (2008). https://doi.org/10.1109/TSMCC.2007.905812

27.

Willcocks, L., Lacity, M., Craig, A.: Robotic process automation: strategic transformation lever for global business services? J. Inf. Technol. Teach. Cases 7(1), 17–28 (2017)CrossRef

28.

Wroblewska, A., Stanislawek, T., Prus-Zajaczkowski, B., Garncarek, L.: Robotic process automation of unstructured data with machine learning. Annals Comput. Sci. Inf. Syst. 16, 9–16 (2018)

29.

Xue, S., Wu, B., Chen, J.: An end-user oriented approach for business process personalization from multiple sources. In: Ghose, A., et al. (eds.) ICSOC 2012. LNCS, vol. 7759, pp. 87–98. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37804-1_10CrossRef

30.

Zhang, A.C.: Intelligent process automation in audit. J. Emerging Technol. Account. 1–38, July 2019. https://papers.ssrn.com/abstract=3448091

Titel: The Future of Robotic Process Automation (RPA)
verfasst von: Aditya Ghose
Geeta Mahala
Simon Pulawski
Hoa Dam
Verlag: Springer International Publishing
Buch: Service-Oriented Computing – ICSOC 2020 Workshops
Print ISBN: 978-3-030-76351-0

Electronic ISBN: 978-3-030-76352-7

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-76352-7_28

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"