DocumentCode
2779520
Title
Information Aggregation after SWOT Analysis - Regarding the Unknown Objectives Values
Author
Zhang, Hao ; Li, Weixia ; Zhang, Chengyi
Author_Institution
Bus. Sch., Bournemouth Univ., Bournemouth, UK
Volume
1
fYear
2011
fDate
24-25 Sept. 2011
Firstpage
163
Lastpage
166
Abstract
One of the most significant techniques regarding the establishment of strategic schemes, is how to establish measurable indices with certain rationality and feasibility by stages. In this study, we establishe and integrate the measurable factors of all the strategic sub-schemes via analyzing previous data, additionally and further forecast the trends of those measurable factors via regressive analysis. Moreover, regarding the measurable strategic schemes with no expected objective values, this paper not only proposes the quantitative model of measurable factors and the basic model of measurable factors, but also formulates the quantitative upper bound, lower bound and median of each relevant measurable factor, so as to demonstrate 3 different types of strategic plans for decision-makers as optimistic, pessimistic and eclectic. This new method has been successfully applied to the case of construction and development of international tourism island in Hainan province which is primarily focusing on the financial indices of tourism economy, and improves the feasibility and effectiveness of this method.
Keywords
decision making; financial management; strategic planning; travel industry; SWOT analysis; decision-maker; financial indices; information aggregation; measurable factor; measurable indices; measurable strategic scheme; quantitative model; regressive analysis; strategic plan; strategic subscheme; tourism economy; Analytical models; Economics; Indexes; Predictive models; Regression analysis; Time measurement; Upper bound; SWOT analysis; degree of objective´s realization; regression analysis; strategic planning; tourism economy;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4577-1419-1
Type
conf
DOI
10.1109/ICM.2011.229
Filename
6113381
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