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Journal articles on the topic 'Robotic Process Automation'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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1

Ghouse, Ahsan, and Csanad Sipos. "RPA progression throughout years and futuristic aspects of RPA." Pollack Periodica 17, no. 1 (March 25, 2022): 30–35. http://dx.doi.org/10.1556/606.2021.00344.

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Abstract This paper robotic process automation is highlighted in modern business environments to understand about the progression of robotic process automation and how robotic process automation has brought changes to the world of business. Adoption of robotic process automation tools has raised lots of questions, but their deployment in a business has changed the outcome of the return on investment in a business by reducing cost and time taken on repetitive tasks. The paper is differentiating robotic process automation bot from artificial intelligence and robotics for the better understanding of lay audience. The paper also gives an insight about futuristic aspects of robotic process automation and robotic process automation 2.0.

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2

Unverricht, Astrid. "Robotic Process Automation." Logistik für Unternehmen 34, no. 06-07 (2020): 52–53. http://dx.doi.org/10.37544/0930-7834-2020-06-07-52.

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In kürzester Zeit Suchmaschinen nach benötigen Informationen durchforsten, aus verschiedenen Systemen Daten herausziehen und zu einem Reporting zusammenfassen sowie Mails erstellen und versenden: Softwareroboter unterstützen Mitarbeiter im Büro nicht nur, sie können ihnen sogar ganze Arbeitsbereiche abnehmen. Mit diesen Fähigkeiten halten sie zunehmend Einzug in den Alltag vieler Unternehmen. Um mit Robotic Process Automation (RPA) die Büroarbeit ihrer Kunden zu erleichtern, hat Rhenus Office System zwei eigene Kompetenzzentren aufgebaut.

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Kommera, Vinay. "Robotic Process Automation." American Journal of Intelligent Systems 9, no. 2 (October 1, 2019): 49–53. http://dx.doi.org/10.5923/j.ajis.20190902.01.

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Scheppler, Björn, and Christian Weber. "Robotic Process Automation." Informatik Spektrum 43, no. 2 (April 2020): 152–56. http://dx.doi.org/10.1007/s00287-020-01263-6.

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Hofmann, Peter, Caroline Samp, and Nils Urbach. "Robotic process automation." Electronic Markets 30, no. 1 (November 4, 2019): 99–106. http://dx.doi.org/10.1007/s12525-019-00365-8.

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Springer, Virginia. "Robotic Process Automation." Controlling 32, no. 1 (2020): 69–71. http://dx.doi.org/10.15358/0935-0381-2020-1-69.

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van der Aalst, Wil M. P., Martin Bichler, and Armin Heinzl. "Robotic Process Automation." Business & Information Systems Engineering 60, no. 4 (May 14, 2018): 269–72. http://dx.doi.org/10.1007/s12599-018-0542-4.

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Ghosh, G. "Automation with RPA (Robotic Process Automation)." International Journal of Computer Sciences and Engineering 6, no. 8 (August 31, 2018): 475–77. http://dx.doi.org/10.26438/ijcse/v6i8.475477.

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9

Häuser, Markus, and Alexander Schmid. "Robotic Process Automation (RPA)." Computer und Recht 34, no. 4 (April 1, 2018): 266–76. http://dx.doi.org/10.9785/cr-2018-340412.

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Vitharanage, Imesha, and Amila Thibbotuwawa. "Enterprise Robotic Process Automation." Bolgoda Plains 01, no. 01 (October 2021): 10–12. http://dx.doi.org/10.31705/bprm.2021.2.

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Robotic Process Automation (RPA) is an emerging technology widely used across multiple sectors such as human resources, healthcare, finance, accounting, manufacturing, higher education and supply chain management, etc. RPA, also known as ‘software bots’, replaces manual, rule-based, repetitive tasks humans perform. These software bots are currently in a journey, evolving to be more sophisticated, mimicking human activities and enabling humans to achieve higher-valued tasks. Hence, RPA impacts the overall operational efficiency in organisations through multiple facets by its integration with employees, existing technologies and infrastructure, and business processes. It reduces the burden on IT as it does not disturb the underlying legacy systems. It increases reliability as bots can work 24x7 effectively. It is used as a time and cost reduction technology as it reduces the size of the manual workload. The tasks performed through RPA is accurate as it is less prone to errors. It increases compliances as it follows the rules and keeps audit trails. The productivity rate of organisations increase as the execution time through RPA is faster than tasks being performed by human employees. Furthermore, RPA is introduced as a low code technology that uses drag and drop functionalities with little to no programming knowledge [1].

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Kobayasi, Yosiyuki. "Robotic Process Automation (RPA)." Journal of The Institute of Image Information and Television Engineers 73, no. 2 (2019): 335–37. http://dx.doi.org/10.3169/itej.73.335.

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12

Singh, Vinay. "Automation of Business Process Using RPA (Robotic Process Automation)." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 68–71. http://dx.doi.org/10.22214/ijraset.2022.45111.

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Abstract: The automation of robotic processes has increased the interest rate trend in recent times. However, most of the Researches describes only theoretical foundations on RPA or industry outcomes after implementing RPA in specific scenarios, especially in finance and outsourcing. With RPA, software users create software robots, or “bots”, that can read, replicate, and then execute many rules-based business processes. RPA automation enables users to build bots by observing human digital actions. Show your bots what to do, then let them do the work. Robotic Process Automation software bots can interact with any application or system the same way people do—except that RPA bots can operate around the clock, nonstop, much faster, and with 100% reliability and precision.

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Fernando, Donny, and Harsiti Harsiti. "STUDI LITERATUR: ROBOTIC PROCESS AUTOMATION." JSiI (Jurnal Sistem Informasi) 6, no. 1 (April 4, 2019): 6. http://dx.doi.org/10.30656/jsii.v6i1.1071.

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TAVAS, Bekir. "ROBOTIC PROCESS AUTOMATION: INDUSTRIAL MODEL." International Journal of Disciplines In Economics and Administrative Sciences Studies (IDEAstudies) 7, no. 27 (January 1, 2021): 167–74. http://dx.doi.org/10.26728/ideas.407.

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Dobrica, Liliana. "Robotic process automation platform UiPath." Communications of the ACM 65, no. 4 (April 2022): 42–43. http://dx.doi.org/10.1145/3511667.

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Moffitt, Kevin C., Andrea M. Rozario, and Miklos A. Vasarhelyi. "Robotic Process Automation for Auditing." Journal of Emerging Technologies in Accounting 15, no. 1 (July 1, 2018): 1–10. http://dx.doi.org/10.2308/jeta-10589.

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ABSTRACT The advent of Robotic Process Automation (RPA) has the potential to disrupt the traditional audit model. With its capability to automate rules-based tasks that are repetitive and manual, RPA is expected to repurpose the role of the auditor by replacing perfunctory tasks and emphasizing higher order thinking skills that will eventually lead to enhanced audit quality. This editorial envisages the future of audit by introducing the concept of RPA and describing its usage in auditing. Moreover, considerations for RPA-based audits and a series of research questions are presented with the objective to create a dialogue in this evolutionary area.

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LACUREZEANU, Ramona, Adriana TIRON-TUDOR, and Vasile Paul BRESFELEAN. "Robotic Process Automation in Audit and Accounting." Audit Financiar 18, no. 160 (October 29, 2020): 752–70. http://dx.doi.org/10.20869/auditf/2020/160/024.

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Nowadays, Information Technology (IT) is part of virtually every business, and companies that cannot keep the pace with new technologies will disappear over time. Due to their nature of specific activities and exceeding other areas, professional accounting and auditing services can improve their performance through Robotic Process Automation (RPA). Furthermore, RPA can contribute to increasing the credibility of the accounting profession, as well as streamlining the activity in order to comply with the requirements imposed by professional standards but with much lower costs. This study is based on a review of the literature and through an exploratory approach opens a discussion on the concept of RPA and customises it in the field of professional accounting services by analysing robotics models specific to accounting and audit.

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Choi, Daehyoun, Hind R’bigui, and Chiwoon Cho. "Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation." Sustainability 13, no. 16 (August 11, 2021): 8980. http://dx.doi.org/10.3390/su13168980.

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Today’s business environments face rapid digital transformation, engendering the continuous emerging of new technologies. Robotic Process Automation (RPA) is one of the new technologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasks by providing a virtual workforce, or digital workers in the form of software bots, for automating manual, high-volume, repetitive, and routine tasks. The goal is to allow human workers to delegate their tedious routine tasks to a software bot, thus allowing them to focus on more difficult tasks. RPA tools are simple and very powerful, according to cost-saving and other performance metrics. However, the main challenge of RPA implementation is to effectively determine the business tasks suitable for automation. This paper provides a methodology for selecting candidate tasks for robotic process automation based on user interface logs and process mining techniques.

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Vijai, C., S. M. Suriyalakshmi, and M. Elayaraja. "The Future of Robotic Process Automation (RPA) in the Banking Sector for Better Customer Experience." Shanlax International Journal of Commerce 8, no. 2 (April 1, 2020): 61–65. http://dx.doi.org/10.34293/commerce.v8i2.1709.

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Robotic Process Automation (RPA) has been a great development today. Robotic Process Automation is a useful tool for the pressing demand of the banking sector. Operation costs have been one of the focus areas in the banking sector. The major benefit of adopting RPA in the banking sector has significantly helped to reduce the costs by 30 per cents to 70 percent, and Robotic Process Automation (RPA) saves labor costs and operational efficiency, accuracy, 24/7, offer innovative services and better experience of the customer. Also, Leading banks like India, such as ICICI Bank, HDFC Bank, and Axis Bank, have implemented Robotic Process Automation. The study focuses on Robotic Process Automation challenges, benefits, and significance in the banking sector. The study discussed the Robotic Process Automation world markets and applications.

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20

Müller, Marion. "Robotic Process Automation bei deutschen Unternehmen." Die Aktiengesellschaft 64, no. 24 (December 1, 2019): r358. http://dx.doi.org/10.9785/ag-2019-642410.

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Vanwe, Mr Vivek Ajinath. "Robotic Process Automation using Virtual Environment." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 4814–18. http://dx.doi.org/10.22214/ijraset.2022.45056.

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Abstract: Ventures are starting to see a computerized labor force as a feature of their computerized change technique by joining components of RPA, man-made reasoning (AI), and examination to mechanize business processes. While carrying out associations receive the above rewards of effective RPA execution, the RPA item sellers and specialist co-ops likewise go through a steady development cycle to handle specialized hindrances that taking on associations face in mechanizing processes and RPA apparatus mix/communication with all applications/frameworks inside their current circumstance. The RPA market is growing quickly, yet to be maintained, RPA should offer more extensive help for application types, and for both virtual and cloud-based frameworks. As RPA keeps on advancing both in capacity and extension, business use cases are growing past centralized servers, heritage, work areas, and web applications into the domain of remote and virtualized conditions. We are now seeing a solid blend of robotization conditions like actual machines, Windows servers, terminal servers, virtual machines (VMs), virtual work area framework (VDI), and distant work area convention (RDP).

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22

Dahiyat, Ahmad. "Robotic process automation and audit quality." Corporate Governance and Organizational Behavior Review 6, no. 1 (2022): 160–67. http://dx.doi.org/10.22495/cgobrv6i1p12.

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This study aims to explain the Jordanian state of the implementation of robotic process automation RPA in auditing, and to examine the expected impact of RPA implementation on audit quality from the views of Jordanian auditors, furthermore, the study aims to define the challenges of RPA implementation in Jordanian auditing firms. The study employed a survey method to collect data by using questionnaires. Three hundred (300) questionnaires were supplied to the sample of the study of which two hundred and seven (207) questionnaires from retrieved questionnaires were valid for analysis. The results of the study showed that Jordanian auditing firms do not apply RPA despite the expected impact of implementation on audit quality, this may be justified by the challenges that the auditors believe, the most important as they indicated are the initial investment for creating or purchase RPA, and the changing resistant by auditors for different purposes. The contributions of this paper are by enriching the theoretical side by shedding light on RPA and knowing the state of RPA implementation in Jordanian auditing firms and examining the impact of RPA implementation on the quality of audit. This paper also identifies the main challenges of the implementation of RPA in the Jordanian environment.

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23

Cooper, Lauren A., D. Kip Holderness, Trevor L. Sorensen, and David A. Wood. "Robotic Process Automation in Public Accounting." Accounting Horizons 33, no. 4 (June 1, 2019): 15–35. http://dx.doi.org/10.2308/acch-52466.

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SYNOPSIS We investigate the implementation of Robotic Process Automation (RPA) software in public accounting by interviewing RPA leaders at Big 4 firms. RPA software automates the input, processing, and output of data to streamline repetitive, mundane tasks. Many of our findings are unique to accounting. For instance, participants report tax services are furthest along in RPA adoption, followed by advisory and assurance services. Furthermore, RPA has not impacted fees, but there is concern that clients may desire fee reductions due to decreased employee hours. Finally, unlike other technology implementations, RPA adoption is driven primarily by lower-level employees. Similar to other domains, our results indicate massive efficiency and effectiveness gains from RPA implementation. Also, interviewees do not expect reduced head count to result from RPA use. This study is the first to discuss the benefits, opportunities, and challenges to implementing RPA in accounting and serves as a catalyst for future research.

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Harrast, Steven A. "Robotic process automation in accounting systems." Journal of Corporate Accounting & Finance 31, no. 4 (June 12, 2020): 209–13. http://dx.doi.org/10.1002/jcaf.22457.

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25

Łada, Monika. "Robotic process automation criteria: Exploratory studies." e-mentor 97, no. 5 (2022): 5–12. http://dx.doi.org/10.15219/em97.1585.

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This article presents the results of exploratory qualitative research aimed at extending the dominant normative approach to the criteria for qualifying business processes for robotisation. Due to the novelty of the analysed organisational practices, the literature presents mainly general recommendations. Robotic process automation (RPA) is recommended for mass, repetitive information and transaction processes with high stability and a high degree of standardisation. Research on the content of experts' opinions has revealed examples of practices implemented in Polish entities, the characteristics of which are inconsistent with normative recommendations. The studies highlight the wide spectrum and complexity of the criteria, in particular the need to better adapt the criteria to various contingencies, with emphasis put on the specificity of the RPA technology used, alternative methods of process automation, and the stage of advancement of digital transformation in the organisation. Flexibility is indicated as the main distinguishing feature of RPA technology, a feature for which the possibility to quickly process changes (prototyping) and the temporary nature of a process (campaign) are important criteria.

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Dr. Prashant Bharge, Arunoday Jaju,. "Robotic Process Automation (RPA): Process prioritization using Cognitive Complexity matrix." Psychology and Education Journal 57, no. 9 (January 5, 2021): 6133–40. http://dx.doi.org/10.17762/pae.v57i9.2688.

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The process automation using robotic processes automation (RPA) has been witnessing an increasing trend of interest in recent days. However, when it comes to selection of processes for automation, among various factors process complexity is not given enough weightage. Also there are fewer researches regarding process selection and the factors impacting this decision. This research gives a methodology for selecting processes based on the complexity so that the organization can implement RPA with the optimum benefits. With this approach we can prioritize the processes in order to gain the maximum profit from the automation. This approach will also segregate the processes in which RPA automation will not result into significant amount of benefit

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Guo, Wanjin, Ruifeng Li, Yaguang Zhu, Tong Yang, Rui Qin, and Zhixin Hu. "A Robotic Deburring Methodology for Tool Path Planning and Process Parameter Control of a Five-Degree-of-Freedom Robot Manipulator." Applied Sciences 9, no. 10 (May 17, 2019): 2033. http://dx.doi.org/10.3390/app9102033.

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Industrial robotics is a continuously developing domain, as industrial robots have demonstrated to possess benefits with regard to robotic automation solutions in the industrial automation field. In this article, a new robotic deburring methodology for tool path planning and process parameter control is presented for a newly developed five-degree-of-freedom hybrid robot manipulator. A hybrid robot manipulator with dexterous manipulation and two experimental platforms of robot manipulators are presented. A robotic deburring tool path planning method is proposed for the robotic deburring tool position and orientation planning and the robotic layered deburring planning. Also, a robotic deburring process parameter control method is proposed based on fuzzy control. Furthermore, a dexterous manipulation verification experiment is conducted to demonstrate the dexterous manipulation and the orientation reachability of the robot manipulator. Additionally, two robotic deburring experiments are conducted to verify the effectiveness of the two proposed methods and demonstrate the highly efficient and dexterous manipulation and deburring capacity of the robot manipulator.

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Murugamani, C., Santosh Kumar Sahoo, Pravin R. Kshirsagar, Boppuru Rudra Prathap, Saiful Islam, Quadri Noorulhasan Naveed, Mohammad Rashid Hussain, Bui Thanh Hung, and Dawit Mamiru Teressa. "Wireless Communication for Robotic Process Automation Using Machine Learning Technique." Wireless Communications and Mobile Computing 2022 (April 16, 2022): 1–12. http://dx.doi.org/10.1155/2022/4723138.

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Machine intelligence is what has been generated by programming computers with certain aspects of human intellect, like training, solving problems, and priority setting. A machine can solve a number of complicated issues using these capabilities. In major industries, such as customer support and manufacturing, machine intelligence is now being employed. The growth and quick development of digital technology and artificial intelligence (AI) technologies are becoming more and more difficult. At now, sophisticated manufacturing, the world of invention, and broad acceptance are undergoing a fast transition. Robotics is much more vital as it may now be related to the human brain by the connection between machine and brain, as AI develops. The world’s economy faces substantial difficulties by increasing productivity in the manufacturing industry. This study examines the present progress of robotic communication styles of artificial intelligence (AI). In many specific applications, communication between members of a robotic group or even people becomes vital. The paper solves the problem of implementation of an independent industry mobile robot in all fields in the major business, live interactive, planning, mobile robot technologies, and intending. In order to identify the best solution to this issue, a mixed integer robotic model has been developed.

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Yang, Sung-Yong, and Dea-Woo Park. "Case Study on the Application of Robot Process Automation Technology to Public Institutions." Journal of Korean Institute of Communications and Information Sciences 43, no. 9 (September 30, 2018): 1517–24. http://dx.doi.org/10.7840/kics.2018.43.9.1517.

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B, Vaishak. "RPA in Banking Sector." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 3340–43. http://dx.doi.org/10.22214/ijraset.2022.45725.

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Abstract: The project presents an implementation of a prototype of robotic process automation (RPA) for banking system. The world has evolved digitally which is further getting automated. Transformation in automation field is a constantly evolving process where Robotic Process Automation came into the process of renovation and is playing a vital role. RPA is becoming a valuable tool in all the sectors mainly in banking and financial institutions. RPA is depicting how easy manual things can be achieved and has shown a lot of various benefits for different fields. The system utilizes RPA bots for the automating purpose. The aim of thiswork isto automate the repetitive tasks with path planning techniques to create a system that is able to navigate in given static environments.

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Quille, Rosa Virginia Encinas, Felipe Valencia de Almeida, Joshua Borycz, Pedro Luiz Pizzigatti Corrêa, Lucia Vilela Leite Filgueiras, Jeaneth Machicao, Gustavo Matheus de Almeida, et al. "Performance Analysis Method for Robotic Process Automation." Sustainability 15, no. 4 (February 17, 2023): 3702. http://dx.doi.org/10.3390/su15043702.

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Recent studies show that decision making in Business Process Management (BPM) and incorporating sustainability in business is vital for service innovation within a company. Likewise, it is also possible to save time and money in an automated, intelligent and sustainable way. Robotic Process Automation (RPA) is one solution that can help businesses improve their BPM and sustainability practices through digital transformation. However, deciding which processes to automate with RPA technology can be complex. Consequently, this paper presents a model for selecting indicators to determine the profitability of shifting to RPA in selected business processes. The method used in this work is the Performance Analysis Method, which allows for predicting which processes could be replaced by RPA to save time and money in a service workflow. The Performance Analysis Method consists of collecting data on the speed and efficiency of a business process and then using that data to develop discrete event simulations to estimate the cost of automating parts of that process. A case study using this model is presented, using business process data from an international utility company as input to the discrete event simulation. The model used in this study predicts that this Electric Utility Company (EUC) will save a substantial amount of money if it implements RPA in its call center.

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Soeny, Kabir, Gaurav Pandey, Utkarsh Gupta, Adarsh Trivedi, Mehul Gupta, and Gaurav Agarwal. "Attended robotic process automation of prescriptions’ digitization." Smart Health 20 (April 2021): 100189. http://dx.doi.org/10.1016/j.smhl.2021.100189.

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Bedekar, Shantanu, and Diptikanta Satpathy. "Robotic Process Automation: Under Promise Over Deliver." Indian Journal of Computer Science 4, no. 4 (August 31, 2019): 7. http://dx.doi.org/10.17010/ijcs/2019/v4/i4/147299.

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Bhatnagar, Roheet, and Rishabh Jain. "Robotic process automation in healthcare-a review." International Robotics & Automation Journal 5, no. 1 (January 8, 2019): 12–14. http://dx.doi.org/10.15406/iratj.2019.05.00164.

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Gronau, Norbert, Benedict Bender, Clementine Bertheau, and Hannah Laube. "Robotic Process Automation statt neuem ERP-System." ERP Management 2021, no. 1 (February 10, 2021): 29–32. http://dx.doi.org/10.30844/erp_21-1_29-32.

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Robotic Process Automation (RPA) steht für die softwareunterstützte Bedienung von Softwarelösungen über deren Benutzeroberfläche. Das primäre Ziel, das mit RPA erreicht werden soll, ist die automatisierte Ausführung von Routineaufgaben, die bisher einen menschlichen Eingriff erforderten. Das Potenzial von RPA, Prozesse langfristig zu verbessern, ist allerdings stark begrenzt. Die Automatisierung von Prozessen und die Überbrückung von Medienbrüchen auf der Front-End-Ebene führt zu einer Vielzahl von Abhängigkeiten und Bedingungen, die in diesem Beitrag zusammengefasst werden. Der Weg zu einer nachhaltigen Unternehmensarchitektur (bestehend aus Prozessen und Systemen) erfordert offene, adaptive Systeme mit moderner Architektur, die sich durch ein hohes Maß an Interoperabilität auf verschiedenen Ebenen auszeichnen.

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esh, Din, Myil raj, Ranjith Kumar, and Singa ravel. "Employee on Boarding RPA (Robotic Process Automation)." International Academic Journal of Innovative Research 9, no. 2 (July 18, 2022): 05–07. http://dx.doi.org/10.9756/iajir/v9i2/iajir0909.

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The topic of employee onboarding robotic process automation, or RPA, in the workplace tends to bean emotive one. Critics cite nightmare scenarios ranging from the loss of back-office jobs to a full-scale dehumanisation of processes. HR is one of the areas now looking seriously at incorporating RPA into its working processes and a lot of the focus is on the onboarding function. The onboarding process equips new joiners with the necessary knowledge, skills and behaviours to prepare them for their new workplace. This process usually begins before the first day and subsequent addition to a company’s payroll and internal databases, and is an essential part of embedding a newly-recruited employee in the organisation. The idea of removing human input from the traditionally core HR activities of recruitment and embedding of new joiners might seem high risk to some, but it’s extremely easy to make the benefits of targeted automation clear.

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37

Sobczak, Andrzej. "Developing a robotic process automation management model." Informatyka Ekonomiczna 2019, no. 2 (2020): 85–100. http://dx.doi.org/10.15611/ie.2019.2.06.

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38

G, SreejaG, and M. Shanthini. "ROBOTIC PROCESS AUTOMATION FOR INSURANCE CLAIM REGISTRATION." International Journal of Advanced Research 6, no. 4 (April 30, 2018): 23–27. http://dx.doi.org/10.21474/ijar01/6821.

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39

Petersen, Jannick, and Hinrich Schröder. "Entwicklung einer Robotic Process Automation (RPA)-Governance." HMD Praxis der Wirtschaftsinformatik 57, no. 6 (October 1, 2020): 1130–49. http://dx.doi.org/10.1365/s40702-020-00659-y.

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40

Zhang, Ning, and Bo Liu. "Alignment of business in robotic process automation." International Journal of Crowd Science 3, no. 1 (May 10, 2019): 26–35. http://dx.doi.org/10.1108/ijcs-09-2018-0018.

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Purpose This paper aims to find out how business aligns with robotic process automation (RPA) and whether the alignment has the same factors as for IT–business alignment. Design/Methodology/Approach Condition configurations for positive and negative impact for business alignment with RPA. Findings The positive and negative configurations that possibly impact business alignment with RPA. Research limitations/implications There are some human instincts during conditions dichotomization and limited number of cases. Practical implications The findings can be used to guide practice application in real industry. Originality/value This paper adopted crisp-set qualitative comparative analysis to find condition configurations for alignment of business and RPA for more generalization.

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Syed, Rehan, Suriadi Suriadi, Michael Adams, Wasana Bandara, Sander J. J. Leemans, Chun Ouyang, Arthur H. M. ter Hofstede, Inge van de Weerd, Moe Thandar Wynn, and Hajo A. Reijers. "Robotic Process Automation: Contemporary themes and challenges." Computers in Industry 115 (February 2020): 103162. http://dx.doi.org/10.1016/j.compind.2019.103162.

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Jadkar, Vinayak, Mayur Khandate, Vedant Gampawar, Pritesh Bhutada, and Prof Leena Deshpande. "Robotic Process Automation for Stock Selection Process and Price Prediction Model using Machine Learning Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 7 (July 31, 2022): 50–57. http://dx.doi.org/10.17762/ijritcc.v10i7.5569.

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Among these last few years, we have seen a tremendous increase in the participation in financial markets as well as there are more robotic process automation jobs emerging in recent years. We can clearly see the scope and increased requirement in both these domains. In the stock market, predicting the stock prices/direction and making profits is the main goal whereas in rpa, tasks which are done on a regular basis are converted into automated or semi-automated form. In this paper we have tried to apply both things into the picture such as developing a price prediction model using machine learning techniques and automating the stock selecting process through technical screeners depending on user requirements. Stacked LSTM and Bi-directional LSTM ML techniques are used and for automation part powerful rpa tool Automation Anywhere has been used. Factors such as evaluation metrics and graph plots are compared for models and advantages, and disadvantages are discussed for using systems with RPA and without RPA practices. Price prediction plots have been analyzed for stocks of different sectors with highest market capitalization and results/analysis and inferences have been stated.

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Zhang, Chanyuan (Abigail). "Intelligent Process Automation in Audit." Journal of Emerging Technologies in Accounting 16, no. 2 (September 2019): 69–88. http://dx.doi.org/10.2308/jeta-52653.

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Intelligent process automation (IPA) achieves flexible and intelligent automation by combining robotic process automation (RPA), artificial intelligence (AI), and other emerging technologies. This paper focuses on the utility of IPA for the audit profession. Specifically, this paper provides a framework for implementing IPA in audit engagements using the concept of audit workflow. A simple prototype based on a simulated use case is constructed to illustrate the IPA implementation framework. The potential applications of IPA in pension and inventory audits are provided, and the expected impacts of IPA on audit efficiency and effectiveness are discussed.

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Jędrzejka, Dariusz. "Robotic process automation and its impact on accounting." Zeszyty Teoretyczne Rachunkowości 2019, no. 105 (161) (December 22, 2019): 137–66. http://dx.doi.org/10.5604/01.3001.0013.6061.

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The paper seeks to explain the concept of robotic process automation (RPA), the ways it impacts accounting, and suggest future research directions. A literature review of previous studies and state-of-the-art sources has been conducted to reveal research gaps. The results provide insights into the nature of the accounting transformation. The potential for automating accounting processes with RPA is high, and robots are predicted to replace accountants for a considerable part of their tasks. That could lead to the disappearance of entry-level accounting positions and, simultaneously, the creation of new accountant roles. Future accountants’ responsibilities will go beyond bookkeeping and financial reporting towards business advisory and leading the RPA transformation. The change entails the need to improve their soft skills, and technology and data skills. It calls for more studies on an effective method to integrate these skills into the accounting education model. Further research is required to examine the potential negative effects of employing robots. These relate to the unnecessary human-robot competition, unintended organisational structure changes, deskilling, and building expertise and knowledge management. Finally, to obtain a more comprehensive view of the impacts of RPA performance, more in-depth research is needed to account for all the financial and non-financial effects of RPA implementation.

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Axmann, Bernhard, and Harmoko Harmoko. "Process & Software Selection for Robotic Process Automation (RPA)." Tehnički glasnik 16, no. 3 (June 23, 2022): 412–19. http://dx.doi.org/10.31803/tg-20220417182552.

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Robotic process automation (RPA) is a technology for office automation to imitate human behaviour when interacting with computers to perform digitized tasks manually, such as opening and closing applications, reading documents, entering data, and sending e-mails. As with any new digital technology answering the question of where to start and what is the right software, is challenging. In the case of RPA, the question of where to start depends on the selection of the business process to be automated and optimized. There are approaches for process selection in research, but they are relatively complex and have not been validated in practice. To fill this gap, we have simplified the process selection method and validated it on a practical example. We also present a simple method to select the appropriate RPA software. The criteria selection and evaluation were done with the Pairwise Comparison and Benefit Value Analysis method. This approach is relatively easy to follow and to apply in practice and thus also closes a gap in applied research.

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Müller, Marion. "Robotic Process Automation (RPA) in der DACH-Region." Die Aktiengesellschaft 65, no. 13-14 (July 1, 2020): r203—r204. http://dx.doi.org/10.9785/ag-2020-6513-1430.

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Lee, Jung Ho, Eunyoung Lim, and Namho Chung. "LG CNS Digital Transformation Using Robotic Process Automation." Business Communication Research and Practice 5, no. 1 (January 2022): 36–41. http://dx.doi.org/10.22682/bcrp.2022.5.1.36.

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Plattfaut, Ralf, Vincent Borghoff, Marie Godefroid, Julian Koch, Michael Trampler, and André Coners. "The Critical Success Factors for Robotic Process Automation." Computers in Industry 138 (June 2022): 103646. http://dx.doi.org/10.1016/j.compind.2022.103646.

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Siderska, Julia. "Robotic Process Automation — a driver of digital transformation?" Engineering Management in Production and Services 12, no. 2 (July 23, 2020): 21–31. http://dx.doi.org/10.2478/emj-2020-0009.

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AbstractThe paper introduces Robotic Process Automation (RPA), which is an emerging and cutting-edge conception of business processes automation, based on the notion of software robots or artificial intelligence workers. The paper is conceptual as it discusses the fundamentals behind this idea, synthesises the knowledge of technology, and presents it in a new context. It is based on the author's considerations and the literature review, which contributes to the insight into the basic understanding of RPA technology as well as systematises and clarifies RPA definitions, identifies market trends, formulates a set of predictions for further development of this technology, and highlights directions for future inquiry. Additionally, logical arguments are proposed for considering RPA as a technology that enables and advances digital transformation. Moreover, criteria are indicated for business processes suitable for RPA. Nowadays, the robotisation of business processes a s innovative technology is more often practically implemented than it is investigated by research. Published papers outline real examples of implemented cases of RPA technology in organisations that mainly represent service industries. These case studies allow identifying possible advantages and risks derived from RPA implementation. Recent studies also report benefits of the RPA application in terms of productivity, costs, service quality, and error reduction. Some authors propose the criteria for selecting processes suitable for automation and robotisation. This paper constitutes a foundation for new research aimed at filling knowledge gaps in this area. Responding to the call by van der Aalst, academic discourse on RPA must be initiated.

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OSMAN, Cristina-Claudia. "Robotic Process Automation: Lessons Learned from Case Studies." Informatica Economica 23, no. 4/2019 (December 30, 2019): 66–71. http://dx.doi.org/10.12948/issn14531305/23.4.2019.06.

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