Robotic Process Automation: A Scientific and Industrial Systematic Mapping Study

Enríquez, J. G.; Ramirez, Andres J.; Mayo, Francisco José Domínguez; Garcia-Garcia, J. A.

doi:10.1109/access.2020.2974934

Cited by 127 publications

(56 citation statements)

References 43 publications

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“…RPA is the automation technology used for software tools or bots that automate human tasks, which are manual, rulebased, or repetitive [60], [17]. RPA aims to automate business processes to improve the efficiency by reducing the costs and efforts, humans spend on repetitive tasks.…”

Section: Category Of Ocr Enginesmentioning

confidence: 99%

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

et al. 2021

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The unstructured data impacts 95% of the organizations and costs them millions of dollars annually. If managed well, it can significantly improve business productivity. The traditional information extraction techniques are limited in their functionality, but AI-based techniques can provide a better solution. A thorough investigation of AI-based techniques for automatic information extraction from unstructured documents is missing in the literature. The purpose of this Systematic Literature Review (SLR) is to recognize, and analyze research on the techniques used for automatic information extraction from unstructured documents and to provide directions for future research. The SLR guidelines proposed by Kitchenham and Charters were adhered to conduct a literature search on various databases between 2010 and 2020. We found that: 1. The existing information extraction techniques are template-based or rule-based, 2. The existing methods lack the capability to tackle complex document layouts in real-time situations such as invoices and purchase orders, 3.The datasets available publicly are task-specific and of low quality. Hence, there is a need to develop a new dataset that reflects real-world problems. Our SLR discovered that AI-based approaches have a strong potential to extract useful information from unstructured documents automatically. However, they face certain challenges in processing multiple layouts of the unstructured documents. Our SLR brings out conceptualization of a framework for construction of high-quality unstructured documents dataset with strong data validation techniques for automated information extraction. Our SLR also reveals a need for a close association between the businesses and researchers to handle various challenges of the unstructured data analysis.

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Section: Category Of Ocr Enginesmentioning

confidence: 99%

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

et al. 2021

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“…Robotic process automation (RPA) is a repetitive and automated process developed from AI technology [37]. It can be used to imitate human behaviour, send e-mails, complete spreadsheets, and record and re-enter data for other tasks.…”

Section: Robotic Process Automationmentioning

confidence: 99%

The Impact of Artificial Intelligence and Blockchain on the Accounting Profession

et al. 2020

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Recent developments in technology have introduced dramatic changes to the practice of the accounting profession. This paper provides a comprehensive review of current developments in big data, machine learning, artificial intelligence, and blockchain utilized in general business practice and by specialized practitioners in the accounting profession worldwide. This paper explores the evolution of the accounting profession following these recent technological developments and assesses the impact of future developments. Inherent challenges and opportunities posed by these new technologies pertaining to accounting professionals and accounting educators are also examined, including an increased demand for IT professionals with accounting experience as opposed to accounting major graduates. Considering the dramatic changes and developments of AI applications in accounting, this paper reflects how all these technologies and the associated requirements of job candidates will affect the desired capabilities of accounting graduates and provides further discussion regarding what higher institutions and their accounting graduates can do to adopt such changes.

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“…For some time now, RPA technology has been the subject of close scientific observation. This is due to the fact that it is considered to be the "face" of the aforementioned digital transformation in business [17][18][19]. A common feature of all industrial transformations and intelligent business automation solutions is the possibility of significantly increasing the production capacity of enterprises, with the difference that industrial revolutions have improved physical processes, and automation with the use of artificial intelligence has enabled the full automation of virtual tasks [20].…”

Section: Introductionmentioning

confidence: 99%

Internal Determinants in the Field of RPA Technology Implementation on the Example of Selected Companies in the Context of Industry 4.0 Assumptions

Marciniak¹,

Stanisławski

2021

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As part of the assumptions of Industry 4.0. many modern technologies are developing. One of them is robotic process automation (RPA). It allows the replacement of human labor with robots, thus increasing the production capacity of enterprises. In practice, the implementation of RPA takes place through two solutions (models): using the services of an external entity offering RPA (service insourcing) or creating your own center of excellence (CoE). The use of both solutions is influenced by numerous conditions (determinants), among which we can mention benefits on the one hand and threats on the other. They are very different and depend on the model used. In this article, attempts were made to identify and determine their impact on the selection of the appropriate model from the point of view of the company (the purpose of the article). The research used two cases of entities implementing RPA on the basis of opposites, i.e., two different models, in which the discussed technology is treated as an important element of their automation. The achieved results indicate that there is no universalism, and their dominant feature is individualism concerning both enterprises and the solutions they implement. This is undoubtedly the effect of the currently too shallow RPA market, as well as the small number of entities using technologies based on intelligent systems. This is a serious research gap, which along with RPA growth will be reduced as a result of more and more intensive research in this field.

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Robotic Process Automation: A Scientific and Industrial Systematic Mapping Study

Cited by 127 publications

References 43 publications

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

The Impact of Artificial Intelligence and Blockchain on the Accounting Profession

Internal Determinants in the Field of RPA Technology Implementation on the Example of Selected Companies in the Context of Industry 4.0 Assumptions

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