2021
DOI: 10.1007/978-3-030-85867-4_2
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A Framework of Cost Drivers for Robotic Process Automation Projects

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Cited by 14 publications
(7 citation statements)
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“…Meta-analysis does not emphasize the findings of various studies, but the data [31] . This method has been used in several scientific papers, including by Axmann et al (2021) to identify RPA cost drivers [6]. Using a similar method information/data on RPA benefits have been collect and classified into four BSC perspectives.…”
Section: Meta-analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Meta-analysis does not emphasize the findings of various studies, but the data [31] . This method has been used in several scientific papers, including by Axmann et al (2021) to identify RPA cost drivers [6]. Using a similar method information/data on RPA benefits have been collect and classified into four BSC perspectives.…”
Section: Meta-analysismentioning
confidence: 99%
“…However, automation in the office is not easy to implement. The biggest challenge does not only come from technology but also from decision-makers in the company who are not fully convinced about technology and its benefit to the organization [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…The most common key performance indicators (KPIs) for RPA bots have, from the start, been full time equivalent (FTE) hours saved and from these, the return on investment (ROI) of process automation has subsequently been calculated (Axmann et al, 2021;Wewerka and Reichert, 2020). In the early days of implementing RPA in organizations, this was also one of the main indicators for selecting processes for automation (Anagnoste, 2017;Willcocks et al, 2015b).…”
Section: Measuring Rpa Performancementioning
confidence: 99%
“…However, there are further areas that have not been exposed properly. For instance, in the area of RPA assessment, most studies still focus on technology & economic perspectives [3,40]. However, the human perspective is scarcely researched and mainly reflects the implications on employees [33], while broader social & human perspectives are still ruled out.…”
Section: Introductionmentioning
confidence: 99%
“…The automation project failure is characterized by the inability to achieve goals and mitigate risks. It is caused by technology failure [23], human failure [30], and economic failure [3]. Economic failure can be detected by visualizing the financial implications of a project using the VoFI method.…”
Section: Introductionmentioning
confidence: 99%