Dataset for Vitzethum et al. "Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges"

DOI

Dataset for the article: Vitzethum, Maximilian ; Mayr, Alexander ; Janiesch, Christian : Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges. Accepted at: Proceedings of the 22nd International Conference on Business Process Management 2024.

Abstract: In recent years, RPA has evolved into a technology that assists organizations in automating and optimizing their business processes further. RPA offers many benefits in addition to enhancing quality, productivity, and efficiency, which can contribute to an organization's competitiveness. Despite the promising benefits, the adoption of RPA presents challenges that vary depending on the organization's context, making it difficult to assess the business value of RPA in advance. To address this issue, have performed a structured literature analysis and evaluating interviews with RPA experts and users from various industries. Our analysis imparts a better understanding of the benefits and challenges of RPA and structures them along five categories of business value: economics, gains, quality, people, and transformation. Our results are a first attempt to provide broad categories of RPA value creation and can serve as a guide for identifying business value action potentials.

Using this data for academic publications is granted explicitly.

Identifier
DOI https://doi.org/10.23728/b2share.fdfda14a37424cb9b6b9de3cd2f4c1b9
Source https://b2share.eudat.eu/records/fdfda14a37424cb9b6b9de3cd2f4c1b9
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/fdfda14a37424cb9b6b9de3cd2f4c1b9
Provenance
Creator Vitzethum , Maximilian; Mayr, Alexander; Janiesch, Christian
Publisher EUDAT B2SHARE; TU Dortmund University
Publication Year 2024
Rights Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA); info:eu-repo/semantics/openAccess
OpenAccess true
Contact christian.janiesch(at)tu-dortmund.de
Representation
Language German; English
Resource Type Dataset
Format pdf
Size 1.7 MB; 3 files
Version 1
Discipline 5.3.10.1 → Information systems → Management information systems