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; Qiongjie Dai

doi:10.1007/s10660-018-9307-x

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
, Qiongjie Dai

^*此作品的通讯作者

经济管理学院

Inner Mongolia University
Southern University of Science and Technology
Dalian University of Technology
Hefei University of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	451-470
页数	20
期刊	Electronic Commerce Research
卷	19
期	2
DOI	https://doi.org/10.1007/s10660-018-9307-x
出版状态	已出版 - 1 6月 2019

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

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.",

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author = "Shanshan Wang and Kun Chen and Zhiyong Liu and Guo, \{Ren Yong\} and Jianshan Sun and Qiongjie Dai",

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AU - Wang, Shanshan

AU - Chen, Kun

AU - Liu, Zhiyong

AU - Guo, Ren Yong

AU - Sun, Jianshan

AU - Dai, Qiongjie

PY - 2019/6/1

Y1 - 2019/6/1

N2 - 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.

AB - 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.

KW - Business-process performance

KW - Interagent and intergroup perspectives collaboration patterns

KW - Process event logs

UR - https://www.scopus.com/pages/publications/85047789217

U2 - 10.1007/s10660-018-9307-x

DO - 10.1007/s10660-018-9307-x

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

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