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dc.contributor.author Padmini, KVJ
dc.contributor.author De Silva, O
dc.contributor.author Bandara, HMND
dc.contributor.author Perera, GIUS
dc.contributor.author Asanka, N
dc.contributor.editor Narayana, M
dc.contributor.editor Chathuranga, D
dc.date.accessioned 2023-04-24T09:30:10Z
dc.date.available 2023-04-24T09:30:10Z
dc.date.issued 2018-05
dc.identifier.citation ************ en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20935
dc.description.abstract Advancement of the software industry and artificial intelligence made the way to Robotic Process Automation (RPA). Business processes with structured, rule-based and repetitive tasks that produce definitive outputs are candidates for automation using RPA. RPA improves accuracy and productivity while reducing cost. However, still the industry fails to identify a suitable RPA delivery approach and 30% - 50% of the RPA projects fail due to unmatched delivery approach. In this paper, we propose an RPA delivery approach named R(P)Aban. R(P)Aban is derived based on an extensive study of RPA implementations by a multinational, service-based organization. We identified the best fit RPA delivery approaches based on a set of interviews with the RPA implementation teams. The proposed framework could be used to eliminate RPA project failures, as well as improve the project performance while reducing the cost. en_US
dc.language.iso en en_US
dc.title R(P)Aban: A Software Process for Robotic Process Automation Projects en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Engineering Research Unit, Faculty of Engineering, University of Moratuwa en_US
dc.identifier.year 2018 en_US
dc.identifier.conference ERU Symposium 2018 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US


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