DocumentCode :
1947764
Title :
Engineering tourism system of systems for guided emergence and desired capability From a perspective of intelligence approach
Author :
Liming Bai
Author_Institution :
Coll. of Bus. Adm., Guangxi Univ. of Finance & Econ., Nanning, China
fYear :
2013
fDate :
7-8 Feb. 2013
Firstpage :
70
Lastpage :
74
Abstract :
Tourism is an industry features multiple types of associated socio-economic sectors. Though complexity in the industry is recognized, research methodology has generally been reductionist, and has not understood tourism as a monolithic meta-system composed of independent and contributive component systems. Therefore, interpretations of tourism development are highly focused and sector-specific, thus limiting understanding of the complex inter-component relationships, the emergent behavior in system evolution and the impact of different component on the overall industrial capacity. This paper explores system of systems (SoS) science as an alternative paradigm to analyze the industry, and suggests that intelligence approaches is required to realize the engineering of the system of systems´ operation towards desired outcomes. The industrial analysis and policy making will benefit from a system of systems engineering (SoSE) program. Therefore, this paper discusses a framework of an intelligence-approach based SoSE process focusing on guided emergence and overall capacity promotion of the tourism SoS. Intelligence approach and pattern recognition techniques are of great potential for system of systems research, particularly in identifying SoS architecture, characteristics, and the complex relationships between different component systems or stakeholders with different interests.
Keywords :
knowledge based systems; pattern recognition; socio-economic effects; software architecture; travel industry; SoS architecture; SoS science; SoSE process; SoSE program; capacity promotion; complex intercomponent relationship; component system; industrial analysis; industrial capacity; industry complexity; intelligence approach; monolithic meta-system; pattern recognition; policy making; socio-economic sector; system behavior; system evolution; tourism SoS; tourism development; tourism industry; tourism system of systems engineering; Artificial intelligence; Biological system modeling; Complexity theory; Economics; Industries; Modeling; SoS capability; guided emergence; intelligence approach; system of systems (SoS); tourism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Image Processing & Pattern Recognition (ICSIPR), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-4861-4
Type :
conf
DOI :
10.1109/ICSIPR.2013.6497961
Filename :
6497961
Link To Document :
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