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

Shanshan Wang (), Kun Chen (), Zhiyong Liu, Ren-Yong Guo, Jianshan Sun and Qiongjie Dai
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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

Electronic Commerce Research, 2019, vol. 19, issue 2, No 7, 470 pages

Abstract: 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.

Keywords: Interagent and intergroup perspectives collaboration patterns; Business-process performance; Process event logs (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10660-018-9307-x

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