Skip to main content
SpringerLink
Log in
Book cover

International Conference on Intelligent and Fuzzy Systems

INFUS 2019: Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making pp 65–72Cite as

A Conceptual Study on RPAs as of Intelligent Automation

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1029))

Abstract

Intelligent automation systems support business efforts through the collaborative interactions of humans and machines. In the realm, partial or integrative transformations of conventional techniques into digital practices is both applicable. Hereby, automation systems directly determine the task sharing between the manpower and software. Robotic Process Automations (RPAs) are emerging technological applications in order to replicate human effort for accomplishing inter-related sets of activities and tasks by accessing one or multiple unintegrated systems and even making sophisticated decisions. Management success of the utilized automation is crucial in this context. This study mainly investigates RPAs as of intelligent automation. Study presents the definitional and conceptive nuances on the topic initially. Then, an RPA Ecosystem Model is proposed for an augmented automation process. Technical tips for RPA implementation are clarified, and RPA lifecycle is presented. This study is one of the first ones that RPA implementation is presented by an overall approach, in an industrial engineering perspective, for both researchers and implementers serving for the organizations which are recently in the transformation process into RPAs. The study becomes prominent by giving the fundamental information in a nutshell for an extremely novel research area.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Anagnoste, S.: Robotic automation process – the next major revolution in terms of back office operations improvement. In: Proceedings of the 11th International Conference on Business Excellence, pp. 676–686. Gruyter Open (2017)

    Google Scholar 

  2. Anagnoste, S.: Setting up a robotic process automation center of excellence. Manage. Dyn. Knowl. Econ. 6(2), 307–322 (2018)

    Article  Google Scholar 

  3. Asatiani, A., Penttinen, E.: Turning robotic process automation into commercial success – Case OpusCapita. J. Inf. Technol. Teach. Cases 6, 67–74 (2016)

    Article  Google Scholar 

  4. Geyer-Klingeberg, J., Nakladal, J., Baldauf, F., Veit, F.: Process mining and robotic process automation: a perfect match. In: 16th International Conference on Business Process Management. Industry Track Session, Australia, pp. 1–8 (2018)

    Google Scholar 

  5. Grung-Olsen, H.-C.: A strategic look at robotic process automation. In: BP Trends Article, pp. 1–5 (2017)

    Google Scholar 

  6. Lacity, M., Willcoks, L., Craig, A.: Robotic process automation at Telefónica O2. In: The Outsourcing Unit Working Research Paper Series, vol. 15, no. 2, 1–19 (2015)

    Google Scholar 

  7. Kirchmer, M.: Robotic process automation – pragmatic solution or dangerous illusion? BPM-D, pp. 1–3 (2017)

    Google Scholar 

  8. Barnett, G.: Robotic process automation: adding to process transformation toolkit, pp. 1–16. Ovum Consulting (2015)

    Google Scholar 

  9. Davenport, T.H.: Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, pp. 1–20. Harvard Business School – International Institute for Analytics (2016)

    Google Scholar 

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

    Google Scholar 

  11. BluePrism homepage. http://www.blueprism.com. How Blue Prism’s digital workforce is increasing Walgreens’ HR shared service efficiency by 73%. Accessed 27 Feb 2019

  12. Lacity, M., Willcoks, L., Craig, A.: Robotic process automation: mature capabilities in the energy sector. In: The Outsourcing Unit Working Research Paper Series, vol. 15, no. 6, pp. 1–19 (2015)

    Google Scholar 

  13. Wilcocks, L.: How organisations can embrace automation. Eur. Bus. Rev. 15–17 (2016)

    Google Scholar 

  14. Sigurðardóttir, G.L.: Robotic process automation: dynamic roadmap for successful implementation. Reykjavik University Master of Science Thesis in Engineering Management, pp. 1–53 (2018)

    Google Scholar 

  15. Mendling, J.: How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? In: Communications of the Association for Information Systems – Panel Report, vol. 43, pp. 1–23 (2018)

    Google Scholar 

  16. Forrester homepage. http://www.forrester.com. Le Clair, C.: The Forrester wave: robotic process automation Q1 2017, pp. 1–18 (2017)

Download references

Author information

Authors and Affiliations

  1. Istanbul University - Cerrahpasa, 34320, Avcılar – Istanbul, Turkey

    Özlen Erkal Sönmez & Dilek Yılmaz Börekçi

Authors
  1. Özlen Erkal Sönmez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dilek Yılmaz Börekçi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Özlen Erkal Sönmez .

Editor information

Editors and Affiliations

  1. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  3. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Management Faculty, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  5. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  6. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sönmez, Ö.E., Börekçi, D.Y. (2020). A Conceptual Study on RPAs as of Intelligent Automation. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_10

Download citation

Publish with us

Policies and ethics

Search

Navigation