Title: Identifying inter-organisational resource-service sequences based on similarity for collaborative tasks

Authors: Haibo Li; Mengxia Liang

Addresses: College of Computer Science and Technology, Huaqiao University, China; Xiamen Engineering Research Centre of Enterprise Interoperability and Business Intelligence, Xiamen 361021, China ' College of Computer Science and Technology, Huaqiao University, China; Xiamen Engineering Research Centre of Enterprise Interoperability and Business Intelligence, Xiamen 361021, China

Abstract: To improve the efficiency of a collaborative task, collaboration of resource services in a business process is important. From the business process viewpoint, the resource services should be provided as service flows to business processes. Resource services are selected and used by different organisations. This reduces the efficiency of the collaboration of resource services among different organisations. To solve this problem, a similarity based approach is proposed to identify the resource service sequences in an inter-organisational business process. Manufacturing is used as an example to discuss the problem. First, a modelling method, resource service temporal relationship modelling (RSTM), is presented. In RSTM, the temporal relationship of resource services is described, which is resolved according to the big data of business. Then, based on the RSTM, all resource service sequences are obtained directly. Next, an algorithm of similarity is presented to calculate the isomorphic resource service sequences with inter-organisation consideration. Finally, the proposed approach is tested with a simulation experiment, and the results show that it is very promising.

Keywords: collaborative task; inter-organisation; resource service sequence; big data.

DOI: 10.1504/IJITM.2019.099815

International Journal of Information Technology and Management, 2019 Vol.18 No.2/3, pp.156 - 170

Received: 19 Jul 2017
Accepted: 17 Oct 2017
Published online: 23 May 2019 *

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