A mobile flexible business process management system supporting daily life processes and decisions

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2021-7-27

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Oruç, Sercan

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Within the Business Process Management domain, only a few studies focus on personal processes. Personal processes are looser and more context- and person-dependent compared to business processes. So, flexibility is a significant concern in Personal Process Management (PPM). In this study, we first conduct semi-structured interviews with a diverse population. Using the collected data, we develop a personal process taxonomy with four classes and twenty-two subclasses. Then, we create a reference model for context-aware mobile decision support systems for PPM. Finally, with the guidance of the reference model, we build a constraint programming (CP) model and a prototype context-aware-mobile application employing this CP model. We conduct experiments with 50 participants to evaluate the application and the CP model via two scenarios. We compare the participants’ performances with and without the PPM system with quantitative metrics such as planning times and values. System Usability Scale (SUS) questionnaires and open-ended questions supply qualitative evaluation results. Throughout the study, we apply the Design Science Research methodology to rigorously conduct research activities. The empirical results show that our proposed CP model for PPM is effective with positive comments and a high SUS score. Overall, the prototype PPM application leads to fast and better (re)planning, which is invaluable in dynamically changing daily activities.

Subject Keywords

Business process management, Personal process management, Decision support systems, Personal assistant, Process flexibility

URI

https://hdl.handle.net/11511/91668

Collections

Graduate School of Informatics, Thesis

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Citation Formats

S. Oruç, “A mobile flexible business process management system supporting daily life processes and decisions,” Ph.D. - Doctoral Program, Middle East Technical University, 2021.