Title | ||
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SMGSC: Social-Level Macro-Governing Methodology for Cross-Management-Domain Service Collaboration Processes |
Abstract | ||
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In order to adapt to the accelerative open tendency of collaborations between enterprises, this paper proposes the cross-management-domain social-level macro-governing mode for regulating and controlling the social-level visible macro-behaviors of the social individuals participating in collaborations. Then this mode is achieved by creating Social-level Macro-Governing methodology for cross-management-domain Service Collaboration processes, called SMGSC, which consists of two levels of standalone and complementary technologies: the social -- level collaboration process norm system represented as social dependence norm sets and the rational agents whose macro-behaviors in collaboration processes conform to norms. Since the rational agents forming dynamically collaboration relationships can make their macro-behaviors governed by social dependence norms, SMGSC not only can remove effectively the uncontrollability hindrance confronted with by open social activities, but also enables cross-management-domain collaborations to be implemented by uniting the centralized controls of social individuals for respective social activities. Therefore, this paper provides a brand-new system construction mode to promote the convenient development and large-scale deployment of service collaborations. |
Year | DOI | Venue |
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2016 | 10.1109/HICSS.2016.44 | 2016 49th Hawaii International Conference on System Sciences (HICSS) |
Keywords | Field | DocType |
Macro-Governing,Social-Level,Service Collaboration,cross-Management-Domain,Social Dependence Norm,Policy-Driven Management | Software deployment,Rational agent,Computer science,Knowledge management,Norm (social),System construction,Macro | Conference |
ISSN | Citations | PageRank |
1530-1605 | 0 | 0.34 |
References | Authors | |
16 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ji Gao | 1 | 19 | 8.29 |
Hexin Lv | 2 | 11 | 3.91 |
Zhiyong Jin | 3 | 0 | 0.34 |
Ping Xu | 4 | 0 | 0.68 |