A Path Forward for Automation in Robotic Process Automation Projects: Potential Process Selection Strategies

Yadav, Neelam; Panda, Supriya P.

doi:10.1109/com-it-con54601.2022.9850739

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…The RPA Technology had its early appearance in the 2000s. RPA is a set of software tools intended to automate repetitive and fixed rules-based business processes [17]. The phrase "ROBOTIC AUTOMATION" was coined in 2012 by Phil Fersht of Horses for Sources (HfS).…”

Section: Objectivesmentioning

confidence: 99%

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UI Action Logger to Investigate Potential Robotic Process Automation Routines.

Neelam Yadav, Supriya P. Panda

2024

tjjpt

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Robotic Process Automation (RPA) is a cost-effective technology that emulates human tasks, reduces errors and enhances business performance. However, identifying ideal processes for RPA implementation can be challenging. Process Mining is a strategy that leverages User Interface (UI) logs to delve into processes and generate "process maps." These logs record user actions during processes, necessitating the use of a tool such as UI Action Logger to capture and transmit them to a cloud-based application for logging. Subsequently, Process Mining frameworks like ProM utilize these logs to construct process models, aiding in the identification of repetitive processes suitable for RPA automation. This innovative study shifts the focus of process mining from event logs to UI logs, simplifying the detection of potential routines. Enriched UI logs are valuable for creating RPA bots, conducting in-depth process analysis, task mining, and training RPA bots through machine learning, and selecting processes for automation. In summary, UI Action Logger offers distinctive features, capturing user interactions at a coarse level conducive to RPA implementation.

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Section: Objectivesmentioning

confidence: 99%

“…Blue Prism's solutions are referred to as Robotic Process Automation (RPA) by Patrick Geary, the company's Chief Marketing Officer. Adoption of RPA initiatives not only saves money but also improves project agility and excellence [18].…”

Section: Objectivesmentioning

confidence: 99%

UI Action Logger to Investigate Potential Robotic Process Automation Routines.

Neelam Yadav, Supriya P. Panda

2024

tjjpt

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“…Through meticulous analysis of sophisticated case studies, the paper illuminates the multifaceted benefits that this integrated approach engenders. Central to this integration is the capacity to alleviate the burden of mundane, repetitive tasks through RPA [3,4], thereby liberating human resources to engage in more strategic and value-added pursuits. Simultaneously, generative AI infuses innovation into the equation, propelling organizations beyond convention by generating novel concepts, designs, and solutions [5].…”

Section: Introductionmentioning

confidence: 99%

Increased Productivity and Reduced Waste with Robotic Process Automation and Generative AI-powered IoE Services

Lo,

Yang,

Zhang

et al. 2024

JWE

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The convergence of robotic process automation (RPA) and generative AI (GAI) within the context of Internet of Everything (IoE) services represents a profound paradigm shift. This fusion of technologies not only streamlines routine tasks but also catalyzes innovation while harnessing the potential of interconnected devices. Such integration empowers organizations to achieve remarkable gains in efficiency and sustainability. This paper embarks on an exploration of these transformative services, designed to elevate productivity, and curtail wasteful practices in contemporary industries. By closely examining intricate case studies, we illuminate the multifaceted advantages of this integrated approach. Our investigation demonstrates how RPA accelerates the execution of repetitive processes, substantially diminishing the margin for human error and amplifying operational efficiency. In contrast, generative AI introduces a disruptive force, generating fresh ideas, designs, and solutions, thereby elevating the quality of products and services. The infusion of these cutting-edge technologies into the fabric of IoE services paves the way for organizations to attain unprecedented levels of automation, intelligence, and connectivity. Furthermore, this paper comprehensively addresses the intricate challenges and considerations associated with the proposed implementation. We delve into ethical concerns, security implications, and the necessary workforce adaptation to offer a balanced perspective on the adoption of these technologies. Additionally, we navigate through potential limitations and constraints, underscoring the imperative need for strategic planning and robust governance.

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