6 Transforming and recombining routines to scale the implementation of software robots

Rutschi, Corinna; Dibbern, Jens (2021). 6 Transforming and recombining routines to scale the implementation of software robots. In: Czarnecki, Christian; Fettke, Peter (eds.) Robotic Process Automation (pp. 111-134). De Gruyter Oldenbourg 10.1515/9783110676693-006

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With the increasing potential to automate business processes using software
robots, companies face the challenge of scaling the implementation of such robotic
systems in order to enable their efficient evolution. The implementation of software
robots is based on the often time consuming work carried out by the project team,
which often leads to higher than expected costs and time delays. This can be made
more efficient by scaling the extension of the robot’s functionalities. However, scaling can only take place once one has understood what can be scaled, how it can be
scaled, and to what extent. Routine theoretical concepts help us better understand
the extent to which processes previously carried out by humans can be transformed
and transferred to robots. We build on literature on routine dynamics as well as digital scaling to understand the mechanisms required to scale the implementation of
software robots. Therefore, based on an empirically illustrated theoretical conceptualization of scaling the software robot implementation, we elaborate in this chapter
how routines evolve and dynamically influence each other in order to explain how
scaling can be approached when implementing software robots. In doing so, we rely
on data from two case studies. In one case study a chatbot was contextually expanded
over time. In the second case study a series of robotic process automation (RPA) robots
were implemented.

Item Type:

Book Section (Book Chapter)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Engineering
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Rutschi, Corinna Rahel and Dibbern, Jens

Subjects:

000 Computer science, knowledge & systems
600 Technology > 650 Management & public relations
300 Social sciences, sociology & anthropology > 330 Economics

Publisher:

De Gruyter Oldenbourg

Language:

English

Submitter:

Luca Giacomelli

Date Deposited:

09 Sep 2021 13:36

Last Modified:

09 Sep 2021 13:44

Publisher DOI:

10.1515/9783110676693-006

BORIS DOI:

10.48350/158380

URI:

https://boris.unibe.ch/id/eprint/158380

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