Role-facing modelling and analysis of workflow based on supply and demand network with multi-function and opening characteristics
Jian-Jia He,
Fuyuan Xu and
Zhong-Wei Gu
International Journal of Electronic Finance, 2012, vol. 6, issue 3/4, 199-218
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. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=51165 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijelfi:v:6:y:2012:i:3/4:p:199-218
Access Statistics for this article
More articles in International Journal of Electronic Finance from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().