Smart Automation as Enabler of Digitalization? A Review of RPA/AI Potential and Barriers to Its Realization

Schmitz, Manfred; Stummer, Christoph; Gerke, Michael

doi:10.1007/978-3-319-77724-5_31

Cited by 16 publications

(16 citation statements)

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“…Therefore, we opt for multidisciplinarity and investigate RPA from different perspectives. In a first step, we want to understand the technology perspective of RPA and how it differs from related technologies, like intelligent automation (Bruno, Johnson, and Hesley 2017;Schmitz, Stummer, and Michael 2019;Suri et al 2018) or BPM (Cewe, Koch, and Mertens 2017). Additionally, the exploratory case study performed in preparation to our SMS identified the challenge to explain RPA to end users (Wewerka and Reichert 2021).…”

Section: Formulation Of the Research Questionsmentioning

confidence: 99%

Robotic process automation - a systematic mapping study and classification framework

Wewerka

Reichert

2021

Enterprise Information Systems

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Robotic Process Automation (RPA) deals with the automation of rule-based process tasks to increase process efficiency and to reduce process costs. Due to the utmost importance of business process automation in industry, RPA attracts increasing attention in the scientific field as well. This paper presents the state-of-the-art in the RPA field by means of a Systematic Mapping Study (SMS). In this SMS, 63 publications are identified, categorised, and analysed along well-defined research questions. From the SMS findings, additionally, a framework for systematically analysing, assessing, and comparing existing as well as upcoming RPA works is derived. The discovered thematic clusters suggest further investigations in order to develop a more elaborated structural research approach for RPA.

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Section: Formulation Of the Research Questionsmentioning

confidence: 99%

Robotic process automation - a systematic mapping study and classification framework

Wewerka

Reichert

2021

Enterprise Information Systems

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“…Unleashing the full potential of applying AI and RPA requires combining the two also referred to as smart automation (Schmitz et al, 2019). The interaction of Robotic Process Automation and Artificial Intelligence, is still in the early stages of development, but at the same time holds a high potential for efficiency (Axmann & Harmoko, 2020;Schmitz et al, 2019).…”

Section: Robotic Process Automation and Artificial Intelligencementioning

confidence: 99%

On the Potentials of Artificial Intelligence in Marketing – The Case of Robotic Process Automation

Perret¹,

Heitkamp²

2021

Int. J. Appl. Res. Manag. Econ.

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The various applications of AI have not yet led to widespread acceptance in marketing. Nevertheless, AI has enormous potential to fundamentally change the field of marketing with its applications, making the topic highly relevant for companies. By analyzing current applications, potential use cases in the near future, implementation opportunities and optimization areas, the study can present a comprehensive understanding of the long-term impact of AI in marketing and on marketing as a discipline. In particular, it looks at potential applications and challenges for companies that provide insight into the future of marketing. These are relevant to remain competitive in the future. In particular, the sub-area of Robotic Process Automation (RPA) will be addressed. For this purpose, two research questions were posed. On the one hand, the use cases in marketing that are given by the automation of processes by means of AI are examined. Secondly, the question is posed as to how the potential of AI in marketing can be further expanded and what trends can be identified or what significance RPA forms in this context. The analysis is based on a qualitative survey in the form of interviews with experts from the field.

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“…• Availability: Most RPA bots are available 24/7 and instant access is granted. Moreover, RPA is highly scalable to meet varying intensity of demands [1], [4], [7], [13], [16], [19], [23], [24], [31], [33]. • Compliance: Processes executed by a bot become transparent and are documented in detail fostering compliance [13], [15]- [17], [19], [24], [31].…”

Section: A Rq 1: What Effects Should Be Achieved With Rpa Projects?mentioning

confidence: 99%

“…Moreover, RPA is highly scalable to meet varying intensity of demands [1], [4], [7], [13], [16], [19], [23], [24], [31], [33]. • Compliance: Processes executed by a bot become transparent and are documented in detail fostering compliance [13], [15]- [17], [19], [24], [31]. • Quality: RPA eliminates human errors, improves accuracy and data quality, and leads to higher customer satisfaction [4]- [7], [17], [19], [23], [24], [26], [27], [30], [31], [33].…”

Section: A Rq 1: What Effects Should Be Achieved With Rpa Projects?mentioning

confidence: 99%

Towards Quantifying the Effects of Robotic Process Automation

Wewerka

Reichert

2020

2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)

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Robotic Process Automation (RPA) is the automation of rule-based routine processes to increase process efficiency and to reduce process costs. In practice, however, RPA is often applied without knowledge of the concrete effects its introduction will have on the automated process and the involved stakeholders. Accordingly, literature on the quantitative effects of RPA is scarce. The objective of this paper is to provide empirical insights into improvements and deteriorations of business processes achieved in twelve RPA projects in the automotive industry. The results indicate that the positive benefits promised in literature are not always achieved in practice. In particular, shorter case duration and better quality are not confirmed by the empirical data gathered in the considered RPA projects. These quantitative insights constitute a valuable contribution to the currently rather qualitative literature on RPA.

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Smart Automation as Enabler of Digitalization? A Review of RPA/AI Potential and Barriers to Its Realization

Cited by 16 publications

References 0 publications

Robotic process automation - a systematic mapping study and classification framework

Robotic process automation - a systematic mapping study and classification framework

On the Potentials of Artificial Intelligence in Marketing – The Case of Robotic Process Automation

Towards Quantifying the Effects of Robotic Process Automation

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