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Developing Hong Kong Tourist Satisfa...

Chen, Li.

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Developing Hong Kong Tourist Satisfaction Index Using Bayesian Structural Equation Modeling Approach.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Developing Hong Kong Tourist Satisfaction Index Using Bayesian Structural Equation Modeling Approach./
Author:	Chen, Li.
Description:	244 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-09(E), Section: A.
Contained By:	Dissertation Abstracts International74-09A(E).
Subject:	Asian Studies. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3570015
ISBN:	9781303089909

Developing Hong Kong Tourist Satisfaction Index Using Bayesian Structural Equation Modeling Approach.
Chen, Li.

Developing Hong Kong Tourist Satisfaction Index Using Bayesian Structural Equation Modeling Approach. - 244 p.

Source: Dissertation Abstracts International, Volume: 74-09(E), Section: A.

Thesis (Ph.D.)--Hong Kong Polytechnic University (Hong Kong), 2012.

Tourist satisfaction has become an increasingly important issue as high tourist satisfaction is likely to contribute to enhanced reputation of tourism product providers and of the whole destination. Assessment on customer satisfaction has received considerable attention. A number of national and industrial customer satisfaction indexes have been developed over the last two decades. Yet the attempt to develop tourist satisfaction index is at its initial stage. Methodologically, there are a number of issues existing in the current studies on satisfaction index. In terms of model estimation, the most widely used maximum likelihood approach is not robust in the situation of small samples. Moreover, estimates of another popular method partial least squares are reported biased. Given the great importance of tourist satisfaction index, and the gaps in the previous research, this study proposes the Hong Kong tourist satisfaction index assessment framework.

ISBN: 9781303089909Subjects--Topical Terms:

1669375
Asian Studies.

Developing Hong Kong Tourist Satisfaction Index Using Bayesian Structural Equation Modeling Approach.
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020 $a 9781303089909
035 $a (UMI)AAI3570015
035 $a AAI3570015
040 $a UMI $c UMI
100 1 $a Chen, Li. $3 1018741
245 1 0 $a Developing Hong Kong Tourist Satisfaction Index Using Bayesian Structural Equation Modeling Approach.
300 $a 244 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-09(E), Section: A.
500 $a Adviser: Haiyan Song.
502 $a Thesis (Ph.D.)--Hong Kong Polytechnic University (Hong Kong), 2012.
520 $a Tourist satisfaction has become an increasingly important issue as high tourist satisfaction is likely to contribute to enhanced reputation of tourism product providers and of the whole destination. Assessment on customer satisfaction has received considerable attention. A number of national and industrial customer satisfaction indexes have been developed over the last two decades. Yet the attempt to develop tourist satisfaction index is at its initial stage. Methodologically, there are a number of issues existing in the current studies on satisfaction index. In terms of model estimation, the most widely used maximum likelihood approach is not robust in the situation of small samples. Moreover, estimates of another popular method partial least squares are reported biased. Given the great importance of tourist satisfaction index, and the gaps in the previous research, this study proposes the Hong Kong tourist satisfaction index assessment framework.
520 $a The proposed tourist satisfaction index assessment framework is a dual-model system. The first model is designed to evaluate tourist satisfaction and its antecedents and consequences at sector level using the Bayesian structural equation modeling approach. The sectoral satisfaction index of each tourism-related sector is first derived. An aggregate service satisfaction index and an overall destination satisfaction index are then calculated based on the second model using the multiple indicators and multiple causes approach. Through a simulation, this study provides evidence that the proposed Bayesian approach is superior to the conventional partial least squares method in producing more accurate and robust estimates with small samples.
520 $a A survey involving four tourism-related sectors was conducted in Hong Kong to illustrate the proposed assessment framework. The calculated tourist satisfaction indexes suggest that the aggregate service satisfaction index in Hong Kong was 71.29 out of 100, which was lower than the overall destination satisfaction index (77.35) due to the non-service attributes of the destination which contribute to tourists' experiences in Hong Kong. Among the four studied service sectors, the attractions sector received the highest index score of 76.16, followed by the immigration sector (70.30) and hotels (69.56). The restaurant sector was ranked at the lower end with an index score of 66.93.
590 $a School code: 1170.
650 4 $a Asian Studies. $3 1669375
650 4 $a Business Administration, Management. $3 626628
650 4 $a Recreation. $3 535376
690 $a 0342
690 $a 0454
690 $a 0814
710 2 $a Hong Kong Polytechnic University (Hong Kong). $3 1020200
773 0 $t Dissertation Abstracts International $g 74-09A(E).
790 1 0 $a Song, Haiyan, $e advisor
790 $a 1170
791 $a Ph.D.
792 $a 2012
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3570015