{"id":26942,"date":"2026-09-21T02:23:22","date_gmt":"2026-09-21T00:23:22","guid":{"rendered":"https:\/\/www.proefschriftmaken.nl\/portfolio\/wouter-van-der-waal\/"},"modified":"2026-10-31T11:33:03","modified_gmt":"2026-10-31T10:33:03","slug":"wouter-van-der-waal","status":"publish","type":"us_portfolio","link":"https:\/\/www.proefschriftmaken.nl\/en\/portfolio\/wouter-van-der-waal\/","title":{"rendered":"Wouter van der Waal"},"content":{"rendered":"","protected":false},"featured_media":26943,"template":"","meta":{"_acf_changed":false},"university_us_portfolio":[25],"class_list":["post-26942","us_portfolio","type-us_portfolio","status-publish","has-post-thumbnail","hentry","university_us_portfolio-universiteit-utrecht"],"acf":{"main_text":"","naam_van_het_proefschift":"The SWORD Unsheathed","samenvatting":"Organisaties gebruiken vaak gespecialiseerde informatiesystemen om complexe processen te stroomlijnen en werknemers te ondersteunen. Als de ondersteuning van het dagelijks werk echter tekortschiet, gaan werknemers vaak om het systeem heen werken. Deze workarounds zijn opzettelijke afwijkingen van het voorgeschreven proces, waarmee werknemers hun werk ook kunnen uitvoeren als ze tegen onverwachte obstakels aanlopen. Workarounds laten daarmee zien welke problemen werknemers in hun werk ervaren en welke alternatieve oplossingen zij gebruiken. Procesmanagers kunnen deze informatie gebruiken om processen te verbeteren. In de praktijk kennen zij echter veel workarounds niet. Tot nu toe worden workarounds meestal in kaart gebracht door domeinexperts te observeren en te interviewen. Dit is vaak lastig: experts kunnen of willen niet altijd vertellen over onderdelen van hun werk waarin zij moeite hebben om het voorgeschreven proces te volgen. Bovendien kost deze aanpak veel tijd van domeinexperts, die het vaak al druk hebben. In dit proefschrift gebruiken we procesdata uit informatiesystemen om workarounds op een datagedreven manier te vinden met aanzienlijk minder inspanning van domeinexperts. Hiermee dragen we bij aan zowel de praktijk als wetenschap met: 1) een nieuwe, datagedreven methode voor workaroundsdetectie met het Semiautomatische WORkaround Detectie (SWORD) framework, 2) de mogelijkheid om workarounds te vinden en te kwantificeren over langere tijd met zeer beperkte benodigde moeite van domeinexperts, 3) nieuwe theoretische inzichten over hoe workarounds ontstaan en veranderen over tijd en hoe hun adoptie verschilt tussen rollen van werknemers.","summary":"Organizations often use specialized information systems to streamline complex processes and support workers. However, when the information system does not support the day-to-day processes well, workers may start to work around the system. These workarounds, defined as intentional deviations from the prescribed process, allow workers to perform their job even when they encounter unforeseen obstacles. As such, workarounds reveal both issues workers encounter in their work and alternative paths that may be used as a solution. While process managers can therefore use workarounds to improve processes, many workarounds are unknown to them. In the current state of the art, workarounds are usually discovered by observing and interviewing domain experts. However, they may be unable, or even unwilling, to discuss parts of their work where they find difficulties following the prescribed process. Consequently, this approach requires a lot of time from already busy domain experts to discover workarounds that they are willing to share. In this dissertation, we use process data from information systems to mine workarounds in a more data-driven manner and to reduce the burden on domain experts. With this, we contribute to both practice and scientific literature by: 1) developing a novel, data-driven workaround detection approach through the Semi-automated WORkaround Detection (SWORD) framework, 2) enabling the discovery and quantification of workarounds over extended periods with very limited effort required from domain experts, and 3) providing new theoretical insights into the dynamics of workaround emergence, evolution, and adoption patterns based on actor roles.","auteur":"Wouter van der Waal","auteur_slug":"wouter-van-der-waal","publicatiedatum":"28 oktober 2026","taal":"EN","url_flipbook":"https:\/\/ebook.proefschriftmaken.nl\/ebook\/woutervanderwaal?iframe=true","url_download_pdf":"https:\/\/ebook.proefschriftmaken.nl\/download\/933455ec-9084-4620-8498-82ea2ac196f1\/highres","url_epub":"","ordernummer":"19527","isbn":"978-94-6534-652-6","doi_nummer":"10.33540\/3693","naam_universiteit":"Universiteit Utrecht","afbeeldingen":26943,"video_url":"","podcast_url":"","naam_student:":"","binnenwerk":"","universiteit":"Universiteit Utrecht","cover":"","afwerking":"","cover_afwerking":"","design":""},"_links":{"self":[{"href":"https:\/\/www.proefschriftmaken.nl\/en\/wp-json\/wp\/v2\/us_portfolio\/26942","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.proefschriftmaken.nl\/en\/wp-json\/wp\/v2\/us_portfolio"}],"about":[{"href":"https:\/\/www.proefschriftmaken.nl\/en\/wp-json\/wp\/v2\/types\/us_portfolio"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.proefschriftmaken.nl\/en\/wp-json\/wp\/v2\/media\/26943"}],"wp:attachment":[{"href":"https:\/\/www.proefschriftmaken.nl\/en\/wp-json\/wp\/v2\/media?parent=26942"}],"wp:term":[{"taxonomy":"university_us_portfolio","embeddable":true,"href":"https:\/\/www.proefschriftmaken.nl\/en\/wp-json\/wp\/v2\/university_us_portfolio?post=26942"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}