Robotics process automation at TECHSERV: An implementation case study

Carden, Lila L.; Maldonado, Tiffany; Brace, Carol; Myers, Marie J.

doi:10.1177/2043886919870545

Cited by 17 publications

(10 citation statements)

References 1 publication

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“…We brought some examples in Table 5 to help understand how can improvements achieved by RPA after its implementation helped in the management of IS/IT infrastructure resources through the automation of business processes, as were the cases of (Wojciechowska-Filipek, 2019; Hartley and Sawaya, 2019;Kokina and Blanchette, 2019;Flechsig et al, 2022;Soeny et al, 2021). Examples of systems integration were also identified, such as (Thainimit et al, 2022;Carden et al, 2019;Simek and Sperka, 2019). In addition, the fungibility of the RPA technology also appeared through the many different domains shown in the publications per subject area (Appendix 3 -Figure A1).…”

Section: Resultsmentioning

confidence: 99%

Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Moderno,

Braz,

Nascimento

2023

BPMJ

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PurposeResearch of currently limited literature sees Robotic Process Automation (RPA) as an important tool at the tactical level. However, the literature has not considered its potential contribution to creating competitive advantages. This paper aims to link RPA and Resource-based view (RBV) literature, proposing a conceptual framework boosting RPA research as part of an organizational AI strategy.Design/methodology/approach This study applied a Systematic Literature Review (SRL), combining bibliometrics and content analysis. This study also built a new framework based on the updated RBV model that was transformed based on the RPA literature review results.Findings By bridging the two bodies of literature on RBV and RPA, this study manages to show the strategic side of the technology. Therefore, this study brought to light the most updated fundamental concepts of complementarity and scale-free fungible resources from RBV theory and AI technologies, applied to the domains of RPA, information systems and information technology (IS/IT) through the development of a new theoretical lens. Also, this study was able to elaborate on a new conceptual framework for AI strategy formulation to help organizations on their journey to AI utilization.Originality/value The authors did not find any research that has shown the strategic side of RPA, nor any that has used a theoretical lens based on the RBV theory to show this side. To the best of the author’s knowledge, this study seems to be the first to make the case for RPA's strategic potential.

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Section: Resultsmentioning

confidence: 99%

Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Moderno,

Braz,

Nascimento

2023

BPMJ

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“…In the beginning, the co-occurrence table had 107 codes; after the validation, we had 59 codes, which referred to nineteen papers to answer the questions. Papers removed from the study after data analysis are in [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92],…”

Section: A Phases Of Literature Review Conductingmentioning

confidence: 99%

Improving Software Robot Maintenance in Large-Scale Environments–is Center of Excellence a Solution?

2022

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Robotic Process Automation (RPA) performs high-volume tasks such as checking invoices. However, the governance and maintenance of large-scale software robot environments can be challenging when robot servers perform automatized tasks simultaneously for customer organizations with complex programming rules, dedicated parameters, and dependencies on timetables. A multivocal literature review (MLR) was conducted to explore whether there are 1) mechanisms to improve software robot maintenance in large-scale robot environments, 2) or software robot maintenance practices for scalable RPA in organizations providing shared services, 3) or governance models for optimizing the performance of software robot maintenance, and 4) is the Center of Excellence (CoE) one of the success factors concerning large-scale robot environments. By doing this, 5) we found eleven functional requirements for the monitoring tool to support maintenance in a large-scale environment. In addition, we adapted them to the RPA monitoring tool abilities for the Finnish Government Shared Services Centre for Finance and HR (Palkeet). As a result, the eleven functional requirements and the monitoring tool abilities are adaptable for other large-scale environments to improve software robot maintenance. However, commercial monitoring tools for RPA maintenance do not fulfil functional requirements, and organizations in large-scale environments must develop their monitoring tools. Based on MLR, either in-house or outsourced CoE seems to be one of the success factors in RPA maintenance in large-scale environments.

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“…, 2020). As it stands, the empirical research is founded on case studies that focus on specific topics, such as how RPA can be implemented into the existing organizational IT infrastructure (Carden et al., 2019), RPA governance models (Kedziora and Penttinen, 2020) and organizational change management when automation affects employees' job descriptions (Dunlap and Lacity, 2017). As software robots can process large amounts of transaction data with relative ease, the studies show an emphasis on accounting (Cooper et al.…”

Section: Introductionmentioning

confidence: 99%

“…As a relatively new technology, RPA has been adopted mostly by businesses and other organizations, while academic research on the topic is still underdeveloped, although the number of publications has been steadily increasing in recent years (Syed et al, 2020). As it stands, the empirical research is founded on case studies that focus on specific topics, such as how RPA can be implemented into the existing organizational IT infrastructure (Carden et al, 2019), RPA governance models (Kedziora and Penttinen, 2020) and organizational change management when automation affects employees' job descriptions (Dunlap and Lacity, 2017). As software robots can process large amounts of transaction data with relative ease, the studies show an emphasis on accounting (Cooper et al, 2019) and auditing (Huang and Vasarhelyi, 2019), thus continuing the on-going trend of digitalization of accounting as a field and profession (Knudsen, 2020).…”

Section: Introductionmentioning

confidence: 99%

Robotic process automation deployments: a step-by-step method to investment appraisal

Ylä-Kujala

Kedziora

Metso

et al. 2023

BPMJ

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PurposeRobotic process automation (RPA) has recently emerged as a technology focusing on the automation of repetitive, frequent, voluminous and rule-based tasks. Despite a few practical examples that document successful RPA deployments in organizations, evidence of its economic benefits has been mostly anecdotal. The purpose of this paper is to present a step-by-step method to RPA investment appraisal and a business case demonstrating how the steps can be applied to practice.Design/methodology/approachThe methodology relies on design science research (DSR). The step-by-step method is a design artefact that builds on the mapping of processes and modelling of the associated costs. Due to the longitudinal nature of capital investments, modelling uses discounted cashflow and present value methods. Empirical grounding characteristic to DSR is achieved by field testing the artefact.FindingsThe step-by-step method is comprised of a preparatory step, three modelling steps and a concluding step. The modelling consists of compounding the interest rate, discounting the investment costs and establishing measures for comparison. These steps were applied to seven business processes to be automated by the case company, Estate Blend. The decision to deploy RPA was found to be trivial, not only based on the initial case data, but also based on multiple sensitivity analyses that showed how resistant RPA investments are to changing circumstances.Practical implicationsBy following the provided step-by-step method, executives and managers can quantify the costs and benefits of RPA. The developed method enables any organization to directly compare investment alternatives against each other and against the probable status quo where many tasks in organizations are still carried out manually with little to no automation.Originality/valueThe paper addresses a growing new domain in the field of business process management by capitalizing on DSR and modelling-based approaches to RPA investment appraisal.

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Robotics process automation at TECHSERV: An implementation case study

Cited by 17 publications

References 1 publication

Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view

Improving Software Robot Maintenance in Large-Scale Environments–is Center of Excellence a Solution?

Robotic process automation deployments: a step-by-step method to investment appraisal

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