Title :
A novel modeling method of team organization structure in e-business
Author_Institution :
Sch. of Econ. & Manage., Shanghai Maritime Univ., Shanghai, China
Abstract :
Realization of e-business is based on business process management system (BPMS) and BPMS is a typical kind of service system. Team organization structure is more suitable for implementation of e-business. However the existing organizational structure modeling methods are difficult to model team structure. In BPMS there are a large number of event logs recording the performers and corresponding activities. Usually if the causality of performers is similar, they can be classified as a same team. Therefore this paper designs a novel modeling method of team organization structure based on causal similarity among performers from event logs in BPMS. Firstly, the causality mining rules are designed; secondly, the measures of the causal similarity among performers are given; at last, a team organization structure can be modeled based on causal similarity.
Keywords :
business process re-engineering; data mining; electronic commerce; team working; BPMS; business process management system; causality mining rules; e-business; performer causal similarity; team organizational structure modeling methods; Computers; Data mining; Educational institutions; High definition video; Organizations; Social network services; business process management system; causal similarity; e-business; event logs; service system; team organization structure;
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2012 9th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-2024-6
DOI :
10.1109/ICSSSM.2012.6252207
