From Robotic Process Automation to Intelligent Process Automation

Chakraborti, Tathagata; Isahagian, Vatche; Khalaf, Rania; Khazaeni, Yasaman; Muthusamy, Vinod; Rizk, Yara; Unuvar, Merve

doi:10.1007/978-3-030-58779-6_15

Cited by 76 publications

(40 citation statements)

References 42 publications

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“…Natural Language Generation is used to generate text or speech from that analyzed and structured information. IPA chatbots draw on both technologies to learn and communicate with customers and employees (Chakraborti et al 2020;Gotthardt et al 2020). Thus, they are applied for conversational processes based on unstructured data and human interaction (Ng et al 2021).…”

Section: Fig 1 Ipa Classification Frameworkmentioning

confidence: 99%

“…Thus, they are applied for conversational processes based on unstructured data and human interaction (Ng et al 2021). In contrast to RPA, IPA chatbots (referred to as "virtual agents") are applied for both the back-office (i.e., employee services and supportive tasks) and the front-office (i.e., customer-facing businesses and interaction) (Allal-Chérif et al 2021;Chakraborti et al 2020;Mohanty and Vyas 2018).…”

Section: Fig 1 Ipa Classification Frameworkmentioning

confidence: 99%

“…2 To overcome the shortcomings of RPA and enhance its capabilities and application areas, software providers increasingly integrate RPA with artificial intelligence (AI) (Mohanty and Vyas 2018;Syed et al 2020). Following a recent leading AI conference's nomenclature, this paper refers to that advanced form as Intelligent Process Automation (IPA) (Chakraborti et al 2020;Taulli 2020;Zhang 2019). IPA's market volume was valued at 10 billion USD in 2020 and is expected to grow with a compound annual growth rate of more than ten percent due to the impact of Industry 4.0 and the Covid-19 pandemic (Coombs 2020;Markets and Markets 2020).…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Intelligent Process Automation on Purchasing and Supply Management – Initial Insights from a Multiple Case Study

Flechsig¹

2021

Logistics Management

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The Covid-19 pandemic drives the need for Intelligent Process Automation (IPA). However, the technology's adoption for purchasing and supply management (PSM) is still in the initial stage and has hardly been explored. Therefore, this empirical multiple case study builds on 19 organizations, including private and public procurement departments, consultancies, and IPA providers, to examine the impact of IPA on the PSM function. The findings provide comprehensive insights and reveal suitable operational and strategic application areas as well as several benefits related to IT systems and data, operational efficiency, process quality, and employee satisfaction. The study also identifies various technological, organizational, and environmental challenges that need to be overcome for further IPA adoption. Therefore, future research directions and managerial implications are outlined.

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Section: Fig 1 Ipa Classification Frameworkmentioning

confidence: 99%

Section: Fig 1 Ipa Classification Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Impact of Intelligent Process Automation on Purchasing and Supply Management – Initial Insights from a Multiple Case Study

Flechsig¹

2021

Logistics Management

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“…Robots are continuously used for patterned and repetitive tasks to improve productivity in every field. It can be noticed a trend that RPA is to minimize human action for automation of simple and repetitive tasks while IPA (Intelligent Process Automation) is increasingly used for the minimization of human judgment work [8,18,19]. Table 1 shows the comparison of RPA and IPA.…”

Section: Spectrum Of Digital Labormentioning

confidence: 99%

Improvement of Business Productivity by Applying Robotic Process Automation

et al. 2021

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Digitalization has been bringing about various changes and innovations not only in our daily life but also in our business environment. In the manufacturing industry, robots have been used for automation for a long time, resulting in innovation in terms of the faster operation process and higher product quality. Robotics Process Automation (RPA) can be said to have brought this innovation in the productivity improvement of many industries into the business office. The purpose of this study is to improve business productivity by applying RPA named CoPA. It is based on Domain-Specific Languages (DSLs) and Model-Driven Engineering (MDE) coupled with MS Office. CoPA has been replaced to perform the repetitive patterned tasks (especially document work) done by many people in an office. For the applications of business productivity, CoPA has been implemented to revise five government project proposals requiring quite strict writing standards. The improvement of business productivity obtained by CoPA has been compared to the performance of 10 employees who are familiar with MS Office. The paper explains the method of CoPA coupled with MS Office as well as the agile method of human collaboration. It is clearly shown that CoPA as a business RPA can improve business productivity in terms of time consumption and document quality.

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“…Moreover, the market of RPA solutions has developed rapidly and today includes more than 50 vendors developing tools that provide SW robots with advanced functionalities for automating office tasks in operations like accounting and customer service [5]. Nonetheless, when considering state-of-the-art RPA technology, it becomes apparent that the current generation of RPA tools is driven by predefined rules and manual configurations made by expert users rather than automated techniques [2,10].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Challenge of Automated Segmentation in Robotic Process Automation

Agostinelli

Marrella

Mecella

2021

Research Challenges in Information Science

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Robotic Process Automation (RPA) is an emerging technology that allows organizations to automate intensive repetitive tasks (or simply routines) previously performed by a human user on the User Interface (UI) of web or desktop applications. RPA tools are able to capture in dedicated UI logs the execution of several routines and then emulate their enactment in place of the user by means of a software (SW) robot. A UI log can record information about many routines, whose actions are mixed in some order that reflects the particular order of their execution by the user, making their automated identification far from being trivial. The issue to automatically understand which user actions contribute to a specific routine inside the UI log is also known as segmentation. In this paper, we leverage a concrete use case to explore the issue of segmentation of UI logs, identifying all its potential variants and presenting an up-to-date overview that discusses to what extent such variants are supported by existing literature approaches. Moreover, we offer points of reference for future research based on the findings of this paper.

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From Robotic Process Automation to Intelligent Process Automation

Cited by 76 publications

References 42 publications

The Impact of Intelligent Process Automation on Purchasing and Supply Management – Initial Insights from a Multiple Case Study

The Impact of Intelligent Process Automation on Purchasing and Supply Management – Initial Insights from a Multiple Case Study

Improvement of Business Productivity by Applying Robotic Process Automation

Exploring the Challenge of Automated Segmentation in Robotic Process Automation

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