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A sound response to long-tailed changes in business process management

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Abstract

Enterprises rely on their process-aware information system (PAIS) to conduct business. Therefore, appropriately responding to environmental changes is vital for enterprises to maintain competitiveness. However, one type of change, namely the long-tailed change (LTC), has been overlooked by traditional business process management practice because of its variety and infrequency. Just as the long-tailed effect reveals, the impact of LTC on enterprise PAIS might be no less dramatic than the impact of high-frequency changes. Since business process models are core assets of an enterprise, it is profitable to reuse them efficiently while tackling the conflict of flexibility and applicability in a timely way. This paper proposes a process model maintenance approach to responding to LTCs. By supporting business analysts to add syntax-correct annotations to existing business process models, the approach achieves an agile, error-free, and low-cost mechanism for dealing with LTCs.

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  1. https://www.activiti.org.

  2. https://www.amqp.org/.

  3. https://www.rabbitmq.com/.

  4. https://www.eclipse.org/Xtext/.

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Acknowledgements

The work is supported by Chinese National Key R &D Program (No. 2017YFB1400604).

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Correspondence to Liang Zhang.

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Cao, H., Chen, X., Zhang, L. et al. A sound response to long-tailed changes in business process management. SOCA 16, 279–291 (2022). https://doi.org/10.1007/s11761-022-00347-3

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