Title: Role-facing modelling and analysis of workflow based on supply and demand network with multi-function and opening characteristics

Authors: Jian-Jia He; Fuyuan Xu; Zhong-Wei Gu

Addresses: Business School; Center for Supernetworks Research (China), University of Shanghai for Science and Technology, No. 516 Jun Gong Road, Shanghai 200093, China ' Business School; Center for Supernetworks Research (China), University of Shanghai for Science and Technology, No. 516 Jun Gong Road, Shanghai 200093, China ' Business School, University of Shanghai for Science and Technology, No. 516 Jun Gong Road, Shanghai 200093, China; Zhejiang University of Science and Technology, Zhejiang Hangzhou, 320023, China

Abstract: Nowadays, with the normality of multi flows interactions and network development of the enterprises, people's knowledge and research on enterprise management have changed significantly, that is, the emergence of research-oriented network which has brought the development of the workflow modelling into a brand new stage definitely. The traditional workflow model develops mostly based on process neglecting the interaction among roles, while it puts more emphasis on the interactive cooperation relationship among main bodies in the supply and demand network environment. In view of the above, this paper establishes the role concept and its attribution model in supply and demand network environment based on the analysis of the role related theory. By referring to the current description of 'workflow process model' - 'formalisation' and 'non-formalisation', this paper puts forward a role-based workflow model in the supply and demand network environment, summarises the modelling procedure and methods systematically by combing with examples and analyses and verifies the attribute of model with Markov Chain, etc. The results indicate that this modelling idea is benefit to perfect the model structure and improves the property of the workflow model.

Keywords: complexity; supply and demand networks; roles; workflow modelling.

DOI: 10.1504/IJEF.2012.051165

International Journal of Electronic Finance, 2012 Vol.6 No.3/4, pp.199 - 218

Published online: 26 Dec 2012 *

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