An assisted approach to business process redesign
For many organizations, the continuous optimization of their business processes has become a critical success factor. Several related methods exist that enable the step-by-step redesign of business processes. However, these methods are mainly performed manually and require both creativity and busine...
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Veröffentlicht in: | Decision Support Systems 2022-05, Vol.156, p.113749, Article 113749 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | For many organizations, the continuous optimization of their business processes has become a critical success factor. Several related methods exist that enable the step-by-step redesign of business processes. However, these methods are mainly performed manually and require both creativity and business process expertise, which is often hard to combine in practice. To enhance the quality and effectiveness of business process redesign, this paper presents a conceptualization of assisted business process redesign (aBPR). The aBPR concept guides users in improving business processes based on redesign patterns. Depending on the data at hand, the aBPR concept classifies four types of recommendations that differ in their level of automation. Further, this paper proposes a reference architecture that provides operational support for implementing aBPR tools. The ra has been instantiated as a prototype and evaluated regarding its applicability and usefulness in artificial and naturalistic settings by performing an extensive real-world case study at KUKA and interviewing experts from research and practice.
•Automated and assistive business process redesign from incrementally enriched data.•Provides a reference architecture to guide the instantiation of concrete systems.•Classifies four types of recommendations in increasing level of automation.•Evaluated through eight expert interviews and three case studies.•Open code prototype evaluated as useful and applicable in real-world settings. |
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ISSN: | 0167-9236 1873-5797 |
DOI: | 10.1016/j.dss.2022.113749 |