marți , 20 octombrie 2020
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Hyperautomation to fulfil jobs rather than executing tasks: the BPM manager robot vs human case

Guillermo LASSO-RODRIGUEZ1, Kay WINKLER2
1 Universidad Americana de Europa (UNADE), 77500 Cancun, Mexico
2 ADEN University, 33134 Florida, United States
guillermoenrique.lasso@unade.mx, kay.winkler@adenuniversity.edu.pa

Rezumat: Averse to being ‘the year of the coronavirus’, there have been quite some positive global technological and sociocultural advances in the middle of the present tempestuous period. This article takes advantage of the recent zenith that robotic process automation (RPA) is experiencing, with special emphasis on the associated hyperautomation form. It upholds on the latest state of software robots, technology, and business process management (BPM) knowledge, to insinuate the controversial case of having robots replacing humans for full time business process jobs. Up-to-date data is analysed as part of the methodology to understand the relevance of the research, including the application of Delphi techniques with a group or panel of international experts from Europe, Africa, America, Asia and Oceania. Prompted by the hypothesis that hyperautomation can be used to fulfil a manager role in a BPM organisation, the text elaborates on the technologies used to manage BPM, the role of a BPM manager robot and the demonstration. It determines, based on the final judgement of the panel majority, that it is possible to have an RPA robot fulfil a BPM manager role, and complements with constructive criticism and lessons on how to do BPM the right way.

Cuvinte cheie: software robot, RPA, BPM, artificial intelligence, machine learning, industry 4.0.

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COORDONATELE PENTRU CITAREA ACESTUI ARTICOL SUNT URMĂTOARELE:
Guillermo LASSO-RODRIGUEZ, Kay WINKLER, Hyperautomation to fulfil jobs rather than executing tasks: the BPM manager robot vs human case, Revista Română de Informatică şi Automatică (Romanian Journal of Information Technology and Automatic Control), ISSN 1220-1758, vol. 30(3),
pp. 7-22, 2020.
https://doi.org/10.33436/v30i3y202001