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

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

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 a...

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Veröffentlicht in:Electronic commerce research 2019-06, Vol.19 (2), p.451-470
Hauptverfasser: Wang, Shanshan, Chen, Kun, Liu, Zhiyong, Guo, Ren-Yong, Sun, Jianshan, Dai, Qiongjie
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analysis
Business and Management
Collaboration
Computer Communication Networks
Data Structures and Information Theory
e-Commerce/e-business
Empirical analysis
IT in Business
Operations Research/Decision Theory
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Beschreibung
Zusammenfassung: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.
ISSN:1389-5753
1572-9362
DOI:10.1007/s10660-018-9307-x