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A Study on Factors Driving Effectiveness of Robotic Automation and Business Processes Management


Affiliations
1 Business Consultant,Tech Mahindra Limited, United Kingdom
2 Business Consultant, Tech Mahindra Limited, India
 

This research paper is aimed to conduct a qualitative study to understand the factors which effect the robotic process automation and business process management. The research was conducted in two phases – understanding the factors through literary sources and then aligning the findings to the case study which is experiential based. The findings of the research study revealed two sets of variables, the independent and dependent variables. The independent variables impact and drive dependent variables which are activities of business process management. The study also revealed that business process management is the key enabler in effective implementation of robotic process automation project/program. The study finally gives the model which can help to manifest various factors (variables) that would enable the effectiveness. It also defines the relationships between each variable and related hypothesis for future testing for reliability.

Keywords

Artificial Intelligence (AI), Business Process Management (BPA), Robotic Process Automation (RPA)
Notifications

  • xDS. (2019, June 4). “10 Criteria for Choosing Right RPA Tools for your Company”. Https://10xDS.com. https://10xds.com/blog/choosing-the-right-rpa-tool/
  • Bryman, A., & Bell, E. (2011). “Business Research Methods” (3rd ed., pp. 204–205). Oxford University Press.
  • Das, A., & Dey, S. (2019). “Robotic process automation: assessment of the technology for transformation of business processes”. International Journal of Business Process Integration and Management, 9, 220–230. https://doi.org/10.1504/IJBPIM.2019.100927
  • Eray, E. (2021). “Interface Health and Workload between Stakeholders in Complex Capital Projects: Assessment, Visualization, and Interpretation Using SNA”. Interface Health and Workload between Stakeholders in Complex Capital Projects: Assessment, Visualization, and Interpretation Using SNA, Volume 37(Issue 3).
  • Gartner. (2022). “Process Mining Can Support Business Operations in Driving Resilient Growth”. Gartner.com. https://www.gartner.com/doc/reprints?id=1-29T5RQGG&ct=220422&st=sb
  • Gratton, C. (2004). “Research methods for sport studies” (pp. 22–106). Routledge.
  • Holzmann, (2013). “Communications Management in Scrum Projects” - ProQuest. Www.proquest.com https://www.proquest.com/openview/e68d440c68a74d0b3be84edfcf56247a/1?pq-origsite=gscholar&cbl=396498
  • Jaselskis, E. J., & Ashley, D. B. (1991). “Optimal Allocation of Project Management Resources for Achieving Success”. Journal of Construction Engineering and Management,117(2), 321–340. https://doi.org/10.1061/(asce)0733-9364(1991)117:2(321)
  • Lok, C., & Doolin, B. (2021). “Critical Success Factors for Robotic Process Automation Implementation”.https://openrepository.aut.ac.nz/bitstream/handle/10292/14380/LokCP.pdf?sequence=3&isAllowed=y
  • Maylor, H., & Blackmon, K. L. (2005). “Researching business and management” (p. 364). Palgrave Macmillan.
  • Mc Sweeney, A. (2021). “Solution Architecture And (Robotic) Process Automation Solutions”.
  • Shea, G. (2017, June 20). “NASA Systems Engineering Handbook Revision”2. NASA. https://www.nasa.gov/connect/ebooks/nasa-systems-engineering-handbook
  • Tucci, Li. (2017). “What is business process management (BPM)?” - Definition from WhatIs.com. Search CIO. https://www.techtarget.com/searchcio/definition/business-process-management
  • UiPath Inc. (2017). “Robotic Process Automation Vs API Integration” UiPath. Www.uipath.com. https://www.uipath.com/blog/rpa/rpa-vs-api-integration

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  • A Study on Factors Driving Effectiveness of Robotic Automation and Business Processes Management

Abstract Views: 7  |  PDF Views: 2

Authors

Mahesh Joshi
Business Consultant,Tech Mahindra Limited, United Kingdom
Sameer Gado
Business Consultant, Tech Mahindra Limited, India

Abstract


This research paper is aimed to conduct a qualitative study to understand the factors which effect the robotic process automation and business process management. The research was conducted in two phases – understanding the factors through literary sources and then aligning the findings to the case study which is experiential based. The findings of the research study revealed two sets of variables, the independent and dependent variables. The independent variables impact and drive dependent variables which are activities of business process management. The study also revealed that business process management is the key enabler in effective implementation of robotic process automation project/program. The study finally gives the model which can help to manifest various factors (variables) that would enable the effectiveness. It also defines the relationships between each variable and related hypothesis for future testing for reliability.

Keywords


Artificial Intelligence (AI), Business Process Management (BPA), Robotic Process Automation (RPA)

References





DOI: https://doi.org/10.17697/ibmrd%2F2022%2Fv11i2%2F172613