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

^*Corresponding author for this work

School of Economics and Management

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Pages (from-to)	451-470
Number of pages	20
Journal	Electronic Commerce Research
Volume	19
Issue number	2
DOIs	https://doi.org/10.1007/s10660-018-9307-x
State	Published - 1 Jun 2019

Keywords

Business-process performance
Interagent and intergroup perspectives collaboration patterns
Process event logs

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10.1007/s10660-018-9307-x

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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.",

keywords = "Business-process performance, Interagent and intergroup perspectives collaboration patterns, Process event logs",

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

note = "Publisher Copyright: {\textcopyright} 2018, Springer Science+Business Media, LLC, part of Springer Nature.",

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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

M3 - 文章

AN - SCOPUS:85047789217

SN - 1389-5753

VL - 19

SP - 451

EP - 470

JO - Electronic Commerce Research

JF - Electronic Commerce Research

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ER -

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

Abstract

Keywords

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