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KBCBP: A Knowledge-Based Collaborative Business Process Model Supporting Dynamic Procuratorial Activities and Roles

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1042))

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Abstract

In recent years, the focus of business process management has gradually shifted from quantitative assessment to quality assessment. Business processes are no longer limited to the explicit rules, and the creativity and flexibility of the process have become more and more attractive. The data-driven process model drills this creativity and flexibility by collecting the data characteristics of actual instances and has been fully developed over the past decade. The knowledge-intensive process makes use of explicit and implicit knowledge, which is fit for procuratorial scenario. This paper combines the idea of the data-driven process model and knowledge-intensive process to propose a knowledge-based collaborative business process model KBCBP supporting dynamic procuratorial activities and roles. The mechanism of the model is based on the procuratorial background.

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References

  1. Marjanovic, O., Seethamraju, R.: Understanding knowledge-intensive, practice-oriented business processes. In: Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), p. 373. IEEE (2008)

    Google Scholar 

  2. Marjanovic, O., Skaf-Molli, H., Molli, P., et al.: Collaborative practice-oriented business processes Creating a new case for business process management and CSCW synergy. In: 2007 International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2007), pp. 448–455. IEEE (2007)

    Google Scholar 

  3. Aureli, S., Giampaoli, D., Ciambotti, M., et al.: Key factors that improve knowledge-intensive business processes which lead to competitive advantage. Bus. Process Manag. J. 25(1), 126–143 (2019)

    Article  Google Scholar 

  4. Rychkova, I., Nurcan, S.: Towards adaptability and control for knowledge-intensive business processes: declarative configurable process specifications. In: 44th Hawaii International Conference on System Sciences, pp. 1–10. IEEE (2011)

    Google Scholar 

  5. van der Aalst, W.M.P., Weske, M., Grünbauer, D.: Case handling: a new paradigm for business process support. Data Knowl. Eng. 53(2), 129–162 (2005)

    Article  Google Scholar 

  6. Steinau, S., Marrella, A., Andrews, K., et al.: DALEC: a framework for the systematic evaluation of data-centric approaches to process management software. Softw. Syst. Model. 18, 1–38 (2019)

    Article  Google Scholar 

  7. Meyer, A., Pufahl, L., Fahland, D., Weske, M.: Modeling and enacting complex data dependencies in business processes. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 171–186. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40176-3_14

    Chapter  Google Scholar 

  8. Hull, R., et al.: Business artifacts with guard-stage-milestone lifecycles: managing artifact interactions with conditions and events. In: 5th ACM International Conference on Distributed Event-based Systems (DEBS), pp. 51–62. ACM, New York (2011)

    Google Scholar 

  9. Xu, W., Su, J., Yan, Z., Yang, J., Zhang, L.: An artifact-centric approach to dynamic modification of workflow execution. In: Meersman, R., et al. (eds.) OTM 2011. LNCS, vol. 7044, pp. 256–273. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25109-2_17

    Chapter  Google Scholar 

  10. Künzle, V.: Object-aware process management. Ph.D. Thesis, University of Ulm (2013)

    Google Scholar 

  11. Kang, G., Yang, L., Xu, W., et al.: Artefact-centric business process configuration. Int. J. High Perform. Comput. Netw. 9(1–2), 93–103 (2016)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Key Research and Development Program of China under Grant No. 2018YFC0381402.

Author information

Authors and Affiliations

  1. School of Computer Science, Fudan University, Shanghai, China

    Hanyu Wu, Tun Lu, Xianpeng Wang & Peng Zhang

  2. Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China

    Hanyu Wu, Tun Lu, Xianpeng Wang & Peng Zhang

  3. Shanghai Institute of Intelligent Electronics and Systems, Shanghai, China

    Hanyu Wu, Tun Lu, Xianpeng Wang & Peng Zhang

  4. TongFang SaiWeiXun Information Technology Co., Ltd., Chengdu, Sichuan, China

    Peng Jiang & Chunlin Xu

Authors
  1. Hanyu Wu
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  2. Tun Lu
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  3. Xianpeng Wang
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  4. Peng Zhang
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  5. Peng Jiang
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  6. Chunlin Xu
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Corresponding author

Correspondence to Tun Lu .

Editor information

Editors and Affiliations

  1. Shandong University, Jinan, China

    Yuqing Sun

  2. Fudan University, Shanghai, China

    Tun Lu

  3. Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  4. Tongji University, Shanghai, China

    Hongfei Fan

  5. University of Shanghai for Science and Technology, Shanghai, China

    Liping Gao

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Wu, H., Lu, T., Wang, X., Zhang, P., Jiang, P., Xu, C. (2019). KBCBP: A Knowledge-Based Collaborative Business Process Model Supporting Dynamic Procuratorial Activities and Roles. In: Sun, Y., Lu, T., Yu, Z., Fan, H., Gao, L. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2019. Communications in Computer and Information Science, vol 1042. Springer, Singapore. https://doi.org/10.1007/978-981-15-1377-0_24

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  • DOI: https://doi.org/10.1007/978-981-15-1377-0_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1376-3

  • Online ISBN: 978-981-15-1377-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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