Process analysis factors to adopt intelligent robotic process automation in supply chains

dc.contributor.authorWaduge, S
dc.contributor.authorSugathadasa, R
dc.contributor.editorGunaruwan, TL
dc.date.accessioned2023-10-19T05:21:12Z
dc.date.available2023-10-19T05:21:12Z
dc.date.issued2023-08-26
dc.description.abstractIntelligent Robotic Process Automation (IRPA) is becoming one of the leading technologies in today’s businesses that compete in more dynamic business environments. IRPA helps to automate rule-based and repetitive processes in businesses. However, it is necessary to identify process analysis factors to adopt IRPA in supply chains, although there are available factors and frameworks to adopt RPA. Therefore, this research aims to identify process analysis factors to adopt IRPA using the Relative Importance Index (RII) method while categorizing the primary and secondary factors among them. Overall, the findings of this study will help researchers and industry practitioners identify the most critical and secondary factors that need to be considered when adopting IRPA.en_US
dc.identifier.citation**en_US
dc.identifier.conferenceResearch for Transport and Logistics Industry Proceedings of the 8th International Conferenceen_US
dc.identifier.departmentDepartment of Transport and Logistics Managementen_US
dc.identifier.email1181452T@uom.lken_US
dc.identifier.emailranils@uom.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 24-26en_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.proceedingProceedings of the International Conference on Research for Transport and Logistics Industryen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/21631
dc.identifier.year2023en_US
dc.language.isoenen_US
dc.publisherSri Lanka Society of Transport and Logisticsen_US
dc.relation.urihttps://slstl.lk/r4tli-2023/en_US
dc.subjectRobotic process automationen_US
dc.subjectIntelligent robotic process automationen_US
dc.subjectProcess analysis factorsen_US
dc.subjectSupply Chainsen_US
dc.titleProcess analysis factors to adopt intelligent robotic process automation in supply chainsen_US
dc.typeConference-Full-texten_US

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