Control and Monitoring of Software Robots: What Can Academia and Industry Learn from Each Other?

Kelly Kurowski, Antonio Martínez-Rojas*, Hajo A. Reijers

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Robotic Process Automation (RPA) has witnessed significant growth, becoming widely adopted in practice. This surge in the use of RPA technology has given rise to new challenges, particularly concerning the effective control and monitoring of software robots. Ideally, academia and industry would work together on developing new RPA capabilities, but both domains operate rather separately. In this paper, we employ an explorative approach to examine how academic theories can improve industrial RPA practices and vice versa. By analyzing both academic literature and leading RPA platforms, we present four recommendations for academia, four for industry, and a general recommendation aiming to advance the collaboration between them.

Original languageEnglish
Title of host publicationResearch Challenges in Information Science
Subtitle of host publication18th International Conference, RCIS 2024, Guimarães, Portugal, May 14–17, 2024, Proceedings, Part II
EditorsJoão Araújo, Jose Luis de la Vara, Maribel Yasmina Santos, Saïd Assar
Place of PublicationCham
PublisherSpringer
Pages56-64
Number of pages9
Edition1
ISBN (Electronic)978-3-031-59468-7
ISBN (Print)978-3-031-59467-0
DOIs
Publication statusPublished - 4 May 2024
Event18th International Conference on Research Challenges in Information Science, RCIS 2024 - Guimarães, Portugal
Duration: 14 May 202417 May 2024

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer
Volume514
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference18th International Conference on Research Challenges in Information Science, RCIS 2024
Country/TerritoryPortugal
CityGuimarães
Period14/05/2417/05/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Challenges
  • Industry Review
  • Maintenance
  • Monitoring
  • Robotic Process Automation
  • Systematic Literature Review

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