Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/49250
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dc.contributor.advisorJans-
dc.contributor.authorJARIJCH, Dries-
dc.contributor.authorJANS, Mieke-
dc.contributor.authorMendling, Jan-
dc.date.accessioned2026-06-10T08:36:30Z-
dc.date.available2026-06-10T08:36:30Z-
dc.date.issued2026-
dc.date.submitted2026-05-21T11:51:23Z-
dc.identifier.citationvan de Weerd, Inge; Estrada Torres, Bedilia; van der Aa, Han (Ed.). Business Process Management Workshops, Springer Cham, p. 187 -195 (Art N° 14)-
dc.identifier.isbn9783032134257-
dc.identifier.isbn9783032134264-
dc.identifier.issn1865-1348-
dc.identifier.issn1865-1356-
dc.identifier.urihttp://hdl.handle.net/1942/49250-
dc.description.abstractThe rise in digitization has significantly expanded the application of process automation beyond traditional engineering, as there is now a substantial increase in automation tools available for white-collar professionals. In this study, we aim to gain a better understanding of the interaction between process automation and skills in the context of applied knowledge work. Different relevant theoretical models relating to process automation, from the fields of engineering, information systems , and the applied domain of accounting, are examined. Insights from these models are then combined into a single unified model describing process automation. This short paper reports on a pre-study to closely examine in which way elements of automation affect knowledge worker skills. We also highlight two gaps in the literature regarding the context in which optimal automation effects occur and the lack of research regarding reskilling.-
dc.language.isoen-
dc.publisherSpringer Cham-
dc.relation.ispartofseriesLecture Notes in Business Information Processing-
dc.rightsThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2026-
dc.subject.otherProcess Automation Effects-
dc.subject.otherUnified model-
dc.subject.otherKnowledge worker skills-
dc.titleProcess Automation and Skills in the Context of Knowledge Work (Short Paper)-
dc.typeProceedings Paper-
dc.relation.edition1-
local.bibliographicCitation.authorsvan de Weerd, Inge-
local.bibliographicCitation.authorsEstrada Torres, Bedilia-
local.bibliographicCitation.authorsvan der Aa, Han-
local.bibliographicCitation.conferencedate2025, August 31- September 5-
local.bibliographicCitation.conferencename23rd International Conference on Business Process Management (BPM 2025)-
local.bibliographicCitation.conferenceplaceSeville, Spain-
dc.identifier.epage195-
dc.identifier.spage187-
local.format.pagesLIV, 609-
local.bibliographicCitation.jcatC1-
local.publisher.placeGewerbestrasse 11, 6330 Cham, Switzerland-
dc.relation.references1. Arnold, V., Sutton, S.: The theory of technology dominance: Understanding the impact of intelligent decision aids on decision makers’ judgments.Adv.Acc.Behav.Res.1,175–194(1998) 2. Parasuraman, R., Sheridan, T., Wickens, C.: A model for types and levels of human interaction with automation. IEEE Trans. Syst. Man,Cybern. - Part A: Syst. Humans 30(3),286–297(2000).https://doi.org/10.1109/3468.844354, https://ieeexplore.ieee.org/document/844354 3. Parasuraman, R.: Designing automation for human use: empirical studies and quantitative models.Ergonomics(2000).https://doi.org/10.1080/001401300409125, https://www.tandfonline.com/doi/abs/10.1080/001401300409125, publisher: Tay-lor &Francis Process Automation and Skills 195 4. Rinta-Kahila, T., Penttinen, E., Salovaara, A., Soliman, W., Ruissalo, J.: The vicious circles of skill erosion: a case study of cognitive automation.J.Assoc.Inf.Syst.24(5),1378–1412(2023).https://doi.org/10.17705/1jais.00829, https://aisel.aisnet. org/jais/vol24/iss5/2/ 5. Sutton, S.G., Arnold, V., Holt, M.: An extension of the theory of technology domi-nance:capturingtheunderlyingcausalcomplexity(2022).https://doi.org/10.2139/ ssrn.4101835, https://papers.ssrn.com/abstract=4101835 6. Tarafdar, M., Cooper, C.L., Stich, J.F.: The technostress trifecta-techno eustress, techno distress and design: Theoretical directions and an agenda for research.Inf.Syst.J.29(1),6–42(2019).https://doi.org/10.1111/isj.12169, https://onlinelibrary. wiley.com/doi/abs/10.1111/isj.12169 7. Tarafdar, M., Stich, J.F., Maier, C., Laumer, S.: Techno-eustress creators: Conceptualization and empirical validation.Inf.Syst.J.34(6),2097–2131(2024).https://doi. org/10.1111/isj.12515, https://onlinelibrary.wiley.com/doi/abs/10.1111/isj.12515 8. Trieu, V.H., Burton-Jones, A., Green, P., Cockcroft, S.: Applying and extending the theory of effective use in a business intelligence context.MISQ.46,645–678(2022).https://doi.org/10.25300/MISQ/2022/14880 9. Vu, H., Haase, J., Leopold, H., Mendling, J.: Towards a theory on process automation effects. In: Di Francescomarino, C., Burattin, A., Janiesch,C.,Sadiq,S.(eds.)BusinessProcessManagementForum.pp.285–301.Springer,Cham(2023).https:// doi.org/10.1007/978-3-031-41623-1_17-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr569-
local.bibliographicCitation.artnr14-
dc.identifier.doi10.1007/978-3-032-13426-4_14-
dc.identifier.eissn1865-1356-
local.provider.typePdf-
local.bibliographicCitation.btitleBusiness Process Management Workshops-
local.uhasselt.internationalyes-
item.contributorJARIJCH, Dries-
item.contributorJANS, Mieke-
item.contributorMendling, Jan-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.fullcitationJARIJCH, Dries; JANS, Mieke & Mendling, Jan (2026) Process Automation and Skills in the Context of Knowledge Work (Short Paper). In: van de Weerd, Inge; Estrada Torres, Bedilia; van der Aa, Han (Ed.). Business Process Management Workshops, Springer Cham, p. 187 -195 (Art N° 14).-
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