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A data-driven approach for extracting and analyzing collaboration patterns at the interagent and intergroup levels in business process

Author

Listed:
  • Shanshan Wang

    (Inner Mongolia University)

  • Kun Chen

    (Southern University of Science and Technology)

  • Zhiyong Liu

    (Dalian University of Technology)

  • Ren-Yong Guo

    (Beihang University)

  • Jianshan Sun

    (Hefei University of Technology)

  • Qiongjie Dai

    (Inner Mongolia University)

Abstract

We developed a data-driven approach for extracting and analyzing the interagent and intergroup collaboration patterns centered on the COLLSTRUC language and its related algorithm. The proposed approach is evaluated by comparing it with existing studies related to collaboration patterns and through an empirical evaluation using Volvo IT event logs.

Suggested Citation

  • Shanshan Wang & Kun Chen & Zhiyong Liu & Ren-Yong Guo & Jianshan Sun & Qiongjie Dai, 2019. "A data-driven approach for extracting and analyzing collaboration patterns at the interagent and intergroup levels in business process," Electronic Commerce Research, Springer, vol. 19(2), pages 451-470, June.
    • Handle: RePEc:spr:elcore:v:19:y:2019:i:2:d:10.1007_s10660-018-9307-x
    DOI: 10.1007/s10660-018-9307-x
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    References listed on IDEAS

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    1. Wei Wang & Shuo Yu & Teshome Megersa Bekele & Xiangjie Kong & Feng Xia, 2017. "Scientific collaboration patterns vary with scholars’ academic ages," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 329-343, July.
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    4. Samer Faraj & Sirkka L. Jarvenpaa & Ann Majchrzak, 2011. "Knowledge Collaboration in Online Communities," Organization Science, INFORMS, vol. 22(5), pages 1224-1239, October.
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