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Granularity as a Cognitive Factor in the Effectiveness of Business Process Model Reuse

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Business Process Management (BPM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5701))

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Abstract

Reusing design models is an attractive approach in business process modeling as modeling efficiency and quality of design outcomes may be significantly improved. However, reusing conceptual models is not a cost-free effort, but has to be carefully designed. While factors such as psychological anchoring and task-adequacy in reuse-based modeling tasks have been investigated, information granularity as a cognitive concept has not been at the center of empirical research yet. We hypothesize that business process granularity as a factor in design tasks under reuse has a significant impact on the effectiveness of resulting business process models. We test our hypothesis in a comparative study employing high and low granularities. The reusable processes provided were taken from widely accessible reference models for the telecommunication industry (enhanced Telecom Operations Map). First experimental results show that Recall in tasks involving coarser granularity is lower than in cases of finer granularity. These findings suggest that decision makers in business process management should be considerate with regard to the implementation of reuse mechanisms of different granularities. We realize that due to our small sample size results are not statistically significant, but this preliminary run shows that it is ready for running on a larger scale.

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Holschke, O., Rake, J., Levina, O. (2009). Granularity as a Cognitive Factor in the Effectiveness of Business Process Model Reuse. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds) Business Process Management. BPM 2009. Lecture Notes in Computer Science, vol 5701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03848-8_17

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  • DOI: https://doi.org/10.1007/978-3-642-03848-8_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03847-1

  • Online ISBN: 978-3-642-03848-8

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