dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Weerd, Inge van de | |
dc.contributor.author | Sadovnikov, Kirill | |
dc.date.accessioned | 2022-12-24T01:01:28Z | |
dc.date.available | 2022-12-24T01:01:28Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43359 | |
dc.description.abstract | Organizations across all industries seek efficiency, digitization and automation of their business processes in current times. Low-code development platforms (LCDPs) promise time and cost reduction through rapid and easy-to-use application assembly. Even so, many organizations struggle to understand and identify digital solutions that can advance their business processes. Therefore, we propose a conceptual framework for organizations to assess their business process management (BPM) initiative for LCDP suitability. The framework is developed through a study of literature, a focus group, and expert interviews, resulting in 18 factors to be considered by organizations. An evaluation using fictitious use case analyses showed that the model was well-received, especially with regard to its completeness and operationality. To the best of our knowledge, this is the first work studying organizational adoption of low-code for the sake of BPM initiatives. | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | We propose a conceptual framework for organizations to assess whether their business process management (BPM) initiative to digitalize business processes is suitable for low-code development platform support. The framework is developed through a study of literature, a focus group, and expert interviews, resulting in 18 factors to be considered by organizations. To the best of our knowledge, this is the first work studying organizational adoption of low-code for the sake of BPM. | |
dc.title | Conceptual Framework Assessing a BPM Initiative for Low-Code Development Platform Suitability | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Low-code;BPM;MDE;Digital Transformation | |
dc.subject.courseuu | Business Informatics | |
dc.thesis.id | 12837 | |