Developing the Evaluation of a Pattern-Based Approach for Business Process Improvement

Griesberger, Philipp

doi:10.1007/978-3-319-06701-8_15

Cited by 3 publications

(5 citation statements)

References 38 publications

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“…The proposed decision support method can be helpful in multiple situations, including those characterized by a lack of time and the inability to conduct appropriate customer surveys. Griesberber [46] developed an evaluation mechanism that allows the reuse of successful patterns found in previous solutions in the domain of business process improvements. This reuse can have multiple benefits, such as a reduction in the development time of new solutions.…”

Section: Decision Support Methodsmentioning

confidence: 99%

“…A limitation of the work is that it was instantiated to a specific project; further discussion is required to make the proposal more general. Figure 9 illustrates the decision support during process reengineering for approaches by Borgianni et al [45] and Griesberber [46]. The decision support system receives multiple business processes from a repository.…”

Section: Decision Support Methodsmentioning

confidence: 99%

“…Figure 9. Overall description of decision support systems that empower the analyst decision making process[45,46].…”

mentioning

confidence: 99%

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Artificial Intelligence-Based Methods for Business Processes: A Systematic Literature Review

et al. 2022

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Companies are usually overloaded with data that they may not know how to take advantage of. On the other hand, artificial intelligence (AI) techniques are known to “keep learning” as the data increase. In this context, our research question emerges: what AI-based methods, in the literature, could be used to automatize business processes and support the decision-making processes of companies? To fill this gap, in this paper, we performed a review of the literature to identify these techniques. We ensured the usage of methods since they allowed reproducibility and extensions. We applied our search string in the Scopus and Web of Science databases and discovered 21 relevant papers pertaining to our question. In these papers, we identified methods that automated tasks and helped analysts make assertive decisions when designing, extending, or reengineering business processes. The authors applied diverse AI techniques, such as K-means, Bayesian networks, and swarm intelligence. Our analysis provides statistics about the techniques and problems being tackled and point to possible future directions.

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Section: Decision Support Methodsmentioning

confidence: 99%

Section: Decision Support Methodsmentioning

confidence: 99%

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Artificial Intelligence-Based Methods for Business Processes: A Systematic Literature Review

et al. 2022

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“…Accordingly, many publications on design projects lay their focus on the build phase, while the evaluation phase is often either neglected or only described as an evaluation concept. Only a minority of these publications do in fact evaluate the developed artifact [11]. A possible explanation for the high emphasis on building an artifact could be that it is a less satisfying duty for researchers to check whether all their efforts to strengthen the applicability and usefulness during the construction of the artifact does actually hold truth value during its evaluation [3].…”

Section: Design Sciencementioning

confidence: 99%

“…[15]). Since the practical publications are necessarily case specific, only rather rudimental guidance is provided for the Build phase, and almost none of these publications consider the different types of artifacts [11]. The best known publications for the build phase are the following.…”

Section: Design Sciencementioning

confidence: 99%