Factors affecting chinese tourist’s loyalty towards Ho Chi Minh city - A mediation analysis of tourists’ perceived value

Journal of Science Ho Chi Minh City Open University VOL. 19 (3) 2016 October/2016 23  
FACTORS AFFECTING CHINESE TOURIST’S LOYALTY  
TOWARDS HO CHI MINH CITY - A MEDIATION ANALYSIS OF  
TOURISTS’ PERCEIVED VALUE  
MAI NGOC KHUONG  
International University, Vietnam National University HCMC Email: mnkhuong@hcmiu.edu.vn  
NGUYEN TRAN NGUYEN KHAI  
International University, Vietnam National University HCMC Email: khainguyenminh@gmail.com  
DO AI DAO  
International University, Vietnam National University HCMC Email: doaidao0604@gmail.com  
(Received: September 1, 2016; Revised: September 23, 2016; Accepted: October 10, 2016)  
ABSTRACT  
The purpose of this research was to examine empirically the causal relationships among push factors, pull  
factors, risk perception, tourists’ perceived value and loyalty of Chinese tourists travelling to Ho Chi Minh City. A  
survey was conducted investigating 470 Chinese tourists to collect the primary data. As a result, Chinese tourists’  
loyalty towards Ho Chi Minh City could be predicted by some of their push motivation, pull motivation and their  
perceived value about the trip or tourists’ services received. Consequently, business organizations and tourism  
companies should consider the crucial roles of push and pull factors to attract more potential repeated visitors and  
increase their perceived value and loyal to Vietnam, especially to Ho Chi Minh City in the near future.  
Keywords: Pull factors; Push factors; Risk perception; Tourists’ loyalty; Tourists’ perceived value.  
international visitors. According to VNAT  
(2016), Ho Chi Minh City attracted more than  
4.6 million international arrivals, a year-on-  
year rise of 13%, and created tourism  
revenues of VND 94.6 trillion, a rise of 10%  
compared to last year. The aforementioned  
data showed a significant contribution of  
tourism industry to the country’s economy  
and promised a great potential in the  
development of Vietnam’s tourism in general  
and Ho Chi Minh City’s tourism in particular.  
Of all international visitors travelling to  
Vietnam, Chinese tourists took up the highest  
rate in terms of visitors with total arrivals in  
the whole year of 2015 of 1,780,918 people, a  
decrease of 9.5% compared to the same period  
last year (VNAT, 2015). Not only did Chinese  
tourists reach record high in terms of total  
arrival, they also reach the highest rate in  
terms of consumption value. According to  
1. Introduction  
Recognizing the important role of tourism  
industry, Vietnam has attempted to invest and  
develop the industry in recent years and  
gained some achievements. In 2015,  
Vietnam’s  
tourism  
made  
remarkable  
achievements and maintained its stability  
regardless of challenges in international  
political and economic situation and  
difficulties in domestic situation. International  
tourist arrivals to Viet Nam in November  
2015 were estimated at 760,798 visitors, an  
increase of 2.6% over the previous month and  
15% over the same period last year. Total  
international tourist arrivals for 12 months  
reached 7,943,651 people, increasing by 0.9%  
over the same period last year (VNAT, 2015).  
Remarkably, Ho Chi Minh City, one of  
the largest cities and most popular  
destinations in Vietnam, has attracted many  
24  
Factors affecting Chinese tourist’s loyalty towards Ho Chi Minh City...  
World Tourism Cities Federation (2014),  
Chinese tourists spent 128.7 billion dollars  
abroad in 2013 including 23% and 10% on  
luxury goods in Europe and the US  
respectively, an increase of 26.8% over 2012.  
With such travelling and spending habits,  
Chinese tourists could be regarded as a  
potential target market for Vietnam’s tourism.  
The number of Chinese tourists travelling  
to Ho Chi Minh City had the potential of  
increasing year after year. Additionally, Ho  
Chi Minh City had many tourism potentials  
such as many beautiful sightseeing places,  
famous historic relics, natural and cultural  
heritages together with diversified cuisines  
and recreational activities. However, Vietnam  
tourism has faced some tough challenges such  
as keen competition from other ASEAN  
countries, lack of awareness among people,  
poor infrastructure system, as well as some  
unfruitful governmental policies to make Viet  
Nam a more competitive destination. Many  
tourists just came to Viet Nam or Ho Chi  
Minh City once and do not return as they  
prefer other destinations.  
to others and repurchase intentions, and  
compound loyalty combined both  
components, predicting the construct better  
(Dimitriades, 2006; Pritchard & Howard,  
1997). In addition, this research also  
investigated loyalty in the tourism context  
which was defined as the tourists’ intention to  
re-visit or return to any destinations.  
Visitors’ loyalty had become a key  
element for destination marketers and  
management researchers (Lee, Graefe, and  
Burns, 2007). Retention of loyal customers  
brought several benefits for a destination.  
Firstly, the marketing costs needed to attract  
repeat visits were normally lower than those  
to recruit new tourists (Lindgreen, Davis,  
Brodie,  
and  
Buchanan-Oliver,  
2000;  
Oppermann, 1998). Secondly, tourists  
returning to a destination were a positive sign  
of their satisfaction (Oppermann, 1998).  
Thirdly, repeat visitors form a stable tourist  
market. Lastly, they also provided free  
advertising in the form of word-of-mouth  
recommendations to other potential tourists  
(Reid & Reid, 1993; Anderson & Mittal,  
2000; Oppermann, 2000; Bowen & Chen,  
2001; Lau & McKercher, 2004). Due to the  
importance of the visitors’ loyalty for a  
destination, both academics and practitioners  
had attempted to explore the most prominent  
previous research and factors, which most  
affected tourist loyalty to increase the  
probability of repeat visitors.  
This research focused on studying  
Chinese tourists from China (Beijing,  
Shanghai, Tianjin, Hong Kong, Guangdong,  
etc.), and from Chinese-speaking countries  
like Taiwan travelling to Ho Chi Minh City.  
The participants consisted of both females and  
males; and both first time and repeat visitors.  
2. Literature Review  
Tourists’ Loyalty  
Tourists’ Perceived Value  
According to Oliver (1997), loyalty  
referred to the repeat purchase commitment of  
products or services regardless of the  
influences of situation or marketing efforts  
directed at causing changes in consumers’  
behavior. The destination loyalty was  
regularly reflected in tourists’ intention to re-  
visit the destination (Oppermann, 2000).  
Moreover, loyalty was conceptualized from  
these three main perspectives: behavioral,  
attitudinal and compound (Bowen & Chen,  
2001; Zins, 2001). Behavioral loyalty was  
reflected in repeat purchase, attitudinal loyalty  
includes recommending the service provider  
Tourist perceived value was defined as  
the overall evaluation of consumers about the  
usefulness of any products that was based on  
the awareness of the thing they was received  
and the thing they was given (Zeithaml,  
1988). Zeithaml (ibid) further claimed that  
tourist’ perceived value was a comprehensive  
construct involving both price variations and  
psychological factors. Tourist perceived value  
might vary extensively depending on the  
types of products and services that were  
offered as well as on various consumers’  
characteristic (Zeithaml, ibid).  
In recent years, several studies in the area  
Journal of Science Ho Chi Minh City Open University VOL. 19 (3) 2016 October/2016 25  
of tourism and hospitality had been done to  
examine how the tourist’s perceived value  
might impact on different aspects of consumer  
behavior. Schiffman and Kanuk (2004)  
claimed that the main objective of providing  
value to clients and making an organization  
more effective than their competitors was to  
have and to retain highly satisfied client. The  
empirical study of tourist perceived value  
showed that it was more relatively significant  
and comprehensive when putting in the  
tourism context than in other settings  
(Gallarza & Saura, 2006).  
as a specific motivation that caused him to  
take a vacation (Goossens, 2000). This  
research also highlighted the four factors of  
the push motivation: self-exploratory,  
relaxation, prestige, and social interaction.  
According to Crompton (1979), pull  
factors were tangible resources and traveler’s  
perception and expectation for the included  
features, attractions, or attributes of a specific  
destination of choice. Pull factors were  
external forces that correlated to the natural  
and historic attractions, food, people,  
recreation services, and marketed image of the  
destination (Uysal & Jurowski, 1994). Pull  
factors influenced the choice of a destination  
and the reference made by using those factors  
would lead to the selection of a destination  
once the decision of travel had been made  
(Klenosky, 2002). This research deeply  
examined pull factors including the following  
6 main factors: destination image; natural  
environment; infrastructure and accessibility;  
cultural, history and art; entertainment,  
recreation and other activities; local cuisine.  
According to the literature of consumer  
behaviors, perceived risk was a multi-  
dimensional construct including several  
primary risk facets: equipment, financial,  
physical, satisfaction, social, psychological,  
and moment in time (Kaplan, Szybillo, and  
Jacoby, 1974). Previous research had  
confirmed that perceptions of risk and safety  
could directly influence tourists’ destination  
choice as well as their probability to visit or  
avoid certain destinations, particularly areas  
which safety was uncertain (Sonmez &  
Graefe, 1998a). This factor was divided into  
three small factors: destination related risk,  
physical risk, and travel related risk. This  
aimed to have an in-depth understanding  
about the risks that really affected tourists’  
perceived value or loyalty. Destination related  
risk comprised of items such as the reactions  
of family and friends toward the trip, the  
compatibility of the trip with the individual’s  
self-image and personality, difficulties in  
communicating and adapting with the culture  
of the destination, and the locals’ attitudes  
The Factors Affect to Tourists’ Loyalty  
This study emphasized three main factors  
which might affect tourists’ expectation: push  
factor, pull factor and risk perception. The  
concept of push and pull travel motivation  
factors had become one of the most popular  
and helpful frameworks to study and examine  
tourists’ behaviors. These two factors  
explained that people decided to travel  
because they were pushed by their own  
internal motivation and pulled by the external  
motivation from characteristic of the  
destination. Push factors referred to the  
motivation that pushed a person from home or  
one destination to travel to another  
destination, pull factors were the motivation  
that pull individuals towards a specific  
destination. Moreover, this research also  
conducted an in-depth exploration about the  
negative attribute risk perception which  
might or might not affect tourists’ loyalty.  
The features of each motivation factor created  
an in-depth discussion as below.  
According to Crompton (1979), the push  
factors consisted of seven socio-psychological  
motivation  
(including ‘escape’,  
‘self-  
exploratory’,  
‘relaxation’, ‘prestige’,  
‘regression’, ‘kinship enhancement’, and  
‘social interaction’) and two other cultural  
motivations (novelty and education). These  
push factors were regarded as extremely  
important factors to help us understand the  
reason for tourists to take a holiday and their  
behaviors. Push factors helped a person build  
the desire to make a holiday and was regarded  
26  
Factors affecting Chinese tourist’s loyalty towards Ho Chi Minh City...  
toward international tourists that leads to an  
unpleasant experience (Dolnicar 2005; Fuchs  
& Reichel 2006b). Physical risk consisted of  
many factors such as food safety, infectious  
diseases, natural disasters, car accidents,  
crime, terrorism, and political turmoil  
of the research, all questions were raised as  
suitable as possible. Most of questions were  
designed and formulated based on a five-point  
Likert-scale ranging from 1 to 5, equivalent to  
1= Strongly disagree, 2 = Disagree, 3 =  
Neutral, 4 = Agree and 5 = Strongly agree.  
The original questionnaire was firstly written  
in English, and then was translated to  
Chinese; written in the simple Mandarin form  
to make it easier and more understandable for  
Chinese respondents.  
Primary data was the main data source for  
analysis, which was obtained directly from  
Chinese tourists travelling to Ho Chi Minh.  
The data was collected by two ways: (1) gave  
questionnaire directly to the target  
respondents and (2) did online survey by  
sending questionnaire link to respondents  
through email and Facebook. Some  
respondents were approached by tour guides,  
restaurant and hotel servants at various tourist  
attractions in the center of Ho Chi Minh City,  
such as Ben Thanh Market, the Unification  
Palace, Museum of War Remnant, etc.; and in  
District 5. The respondents were also given  
incentives (a pen with a yellow ribbon bow) to  
reduce the rejection rate.  
(Mitchell  
&
Vassos, 1997; Maser  
&
Weiermair, 1998; Fuchs & Reichel 2006b).  
Travel related risk included the factors that  
related to equipment and conditional problems  
or troubles like bad weather, transport  
breakdown, inappropriate company, and  
misuse of time and money (Fuchs & Reichel,  
2006b; Reisinger & Mavondo, 2006).  
3. Methodology  
Research proposed framework  
With the importance of push, pull factors  
and risk perception to the tourism, this  
research proposed a model of 13 independent  
factors, of which there are 4 pull factors, 6  
pull factors and 3 risk perception factors that  
might affect Chinese tourists’ loyalty and  
perceived value.  
To confirm the direct and indirect effects  
of push, pull, perceived risk factors, and  
perceived value on tourists’ loyalty, this study  
hypothesized that:  
H1: Push factors, pull factors, and risk  
perceived factors directly affect tourists’  
perceived value  
H2: Push factors, pull factors, risk  
perceived factors, and tourists’ perceived  
value directly affect tourists’ loyalty  
H3: The effects of push factors, pull  
factors, and risk perceived factors on tourists’  
loyalty is mediated by tourists’ perceived  
value  
Sample Background  
Through the data collection process, 470  
responses were collected from Chinese  
tourists with 61.3% female and 38.7% male.  
Most of the respondents were from age of 41  
to 60 (31.1%), followed by 31 40 age group  
(28.5%), 26-30 age group (19.8%), above 60  
(7.2%), 18-25 age group (7%) and below 18  
(6.4%). The data implied what potential  
customers of Vietnam tourism like.  
Generation Y or millennial could be lucrative  
market in the long run but at the present  
Generation X is the main segment that  
tourism industry should focus on. Besides, the  
sample recognized that 36.4% of the  
respondents have college degree, 45.3% is  
studying or completed university degree and  
5.7% has master degree or higher.  
Accordingly, tourist businesses should have a  
very special and systematic business plan to  
be able to meet these well-educated tourists’  
Questionnaire  
Collection  
Design  
and  
Data  
Because the study aimed to identify  
factors affecting Chinese tourists’ loyalty  
when travelling to Ho Chi Minh City,  
questionnaire was considered as the most  
appropriate  
research  
instrument.  
The  
questionnaire was built based on major  
concepts and variables, which were mentioned  
in the literature review section. In order to  
ensure the reliability and validity of all scales  
Journal of Science Ho Chi Minh City Open University VOL. 19 (3) 2016 October/2016 27  
needs. Moreover, nearly half of the  
respondents (49.1%) have visited Ho Chi  
Minh City twice and 30.9% of them came to  
the city for the first time. Surprisingly, 77  
Chinese tourists came three times (16.4%) and  
17 more than three times (3.6%). These  
figures show that Ho Chi Minh City has  
become more and more popular among  
Chinese tourists.  
In this study, Exploratory Factor analysis  
(EFA) was applied twice for the groups of  
independent and dependent variables. For  
independent variables, the KMO measure of  
sampling adequacy (KMO = .793) and  
Bartlett’s test of Sphericity was significant  
(Sig = .000). Therefore, this factor analysis  
was considered appropriate. In the table of  
Total Variance Explained, these factors  
accounted for 72% of the total variance,  
which was higher than 50%.  
4. Research Findings  
Factor Analysis and Reliability  
Table 1  
Summary of Independent Variables with Reliability Coefficients  
Type of factor No. of  
Items  
Given Names  
Alpha  
Self-exploratory (SELEXPLO)  
Relaxation (RELAX)  
PUSH  
PUSH  
PUSH  
PUSH  
PULL  
PULL  
PULL  
PULL  
PULL  
5
5
4
5
6
4
5
5
.911  
.863  
.910  
.962  
.927  
.771  
.827  
.903  
Factor 1  
Factor 2  
Factor 3  
Factor 4  
Factor 5  
Factor 6  
Factor 7  
Factor 8  
Prestige (PRESTI)  
Social Interaction (SOCINT)  
Destination Image (DESIMA)  
Natural Environment (NATENVI)  
Infrastructure and Accessibility (INFRACES)  
Cultural, History and Art (CULHISA)  
Entertainment, Recreation and Other activities  
(ENRENOT)  
5
5
5
.761  
.882  
.907  
Factor 9  
Factor 10  
Factor 11  
Local Cuisine (LOCUIS)  
PULL  
RISK  
PERCEPTION  
Destination Related Risk (DERERIS)  
RISK  
PERCEPTION  
Physical Risk (PHYRIS)  
5
5
.891  
.920  
Factor 12  
Factor 13  
RISK  
PERCEPTION  
Travel Related Risk (TRARERIS)  
The second Exploratory Factor Analysis  
finding, the KMO = .820 and Bartlett’s test of  
sphericity Sig = .000 satisfied the initial  
conditions of EFA. Components were retained  
only when they had the initial eigenvalues of 1  
or higher. These factors accounted for 59% of  
the total variance, which was higher than 50%.  
was conducted for the group of two dependent  
variables. The KMO and Bartlett’s test of  
sphericity and Varimax Rotation were applied  
for 6 tourists’ perceived value attributes and 4  
tourists’ loyalty attributes. Based on the  
28  
Factors affecting Chinese tourist’s loyalty towards Ho Chi Minh City...  
Table 2  
Summary of Dependent Variables with Reliability Coefficients  
Given Names  
No. of Items  
Alpha  
.725  
Tourists’ Loyalty (TOLOY)  
4
6
Factor 14  
Factor 15  
Tourists’ Perceived Value (PERVA)  
.859  
the intervening variable, SELEXPLO,  
RELAX, ENRENOT, and NATENVI had  
indirect effects on tourists’ loyalty at (=-  
.012), (=-.014), (=-.047), and (=-.029).  
Significance of the Indirect Effects  
Factors Affecting Tourists’ Perceived  
Value and Tourists’ Loyalty  
In the Pearson’s Correlation Analysis, the  
strength and direction of association between  
Independent Variables and Tourists’ Loyalty  
were examined. The finding indicated the  
Table 3 shows the results of the  
bootstrapping method recommended by  
Preacher and Hayes (2008) to test the  
significance of indirect effects or mediations.  
The output provided the bootstrapped  
confidence intervals (at the 95%). If there is a  
ZERO (0) lies within the interval range  
between the lower boundary (LL) and the  
upper boundary (UL), then we can conclude  
that, with 95% confidence, there is no  
mediation or indirect effect. On the other  
hand, if zero does not occur between the LL  
and the UL, then we can conclude that, with  
95% confidence, the mediation or indirect  
effect is significant (Preacher and Hayes,  
2004). As can be seen in the output of Table  
4, the indirect effects of SELEXPLO,  
RELAX, ENRENOT, and NATENVI on  
TOLOY through the mediation of PERVA  
were estimated to lie between -.0236 (LL) and  
-.0027 (UL), -.0275 (LL) and -.0040, -.0785  
(LL) and -.0184 (UL), and -.0502 (LL) and -  
positive  
independent  
SELEXPLO, and RELAX) and TOLOY, with  
r = .147, p<.01; r = .164, p<.01; and r = .139,  
p<.01 respectively; and negative correlation  
correlation  
between  
three  
variables  
(SOCINT,  
between  
two  
independent  
variables  
(INFRACES; NATENVI and PERVA) and  
TOLOY with r = -.151, p<.01; r = -.195,  
p<.01; and r = -.102, p<.05 respectively. This  
means the stronger SOCINT, SELEXPLO,  
and RELAX the travelers had, the higher  
Loyalty degree they felt; and the stronger  
INFRACES, NATENVI and PERVA Ho Chi  
Minh City had, the lower Loyalty degree  
travelers felt. Moreover, in the Linear  
Regression Analysis, the R squared value of  
the model was .139. It meant the model could  
explain 13.9% the variation of Tourists’  
Loyalty.  
Indirect Effects of Tourists’ Loyalty  
The results of multiple regression  
analysis indicated that tourists’ perceived  
value was significantly affected by four out of  
thirteen independent variables: SELEXPLO  
(=.090, p <.05), RELAX (=.110, p <.05),  
ENRENOT (=.367, p <.05), and NATENVI  
(=.222, p <.05). In addition, tourists’  
perceived value had a direct effect on tourists’  
loyalty ((=-.129, p <.05). Therefore, through  
.0109  
(UL)  
with  
95%  
confidence,  
respectively. Because zero is not in the 95%  
confidence interval, we can conclude that the  
indirect effects of SELEXPLO, RELAX,  
ENRENOT and NATENVI on TOLOY were  
indeed significantly different from zero at p  
<.05 (two tailed) and the mediation of  
PERVA in this study was true.  
Journal of Science Ho Chi Minh City Open University VOL. 19 (3) 2016 October/2016 29  
Table 3  
Direct, Indirect and Total casual effects  
Variables  
Casual Effects  
Direct  
.083  
Indirect  
Total  
.071  
LL  
UL  
SELEXPLO  
RELAX  
-.012  
-.014  
-.047  
-.029  
-
-.0236  
-.0275  
-.0785  
-.0502  
-.0027  
-.0040  
-.0184  
-.0109  
.111  
.097  
ENRENOT  
NATENVI  
SOCINT  
.175  
.128  
-.139  
.083  
-.168  
.083  
INFRACES  
PERVA  
-.090  
-.129  
-
-.090  
-.129  
-
The Causal Effects of Tourists’ Loyalty  
According to the result, the NATENVI  
factor had the strongest effect on Tourists’  
Loyalty of Chinese tourists surveyed, with = -  
.168, followed by Tourists’ Perceived Value  
with = -.129; ENRENOT factor with   
= .128; RELAX factor with = .097;  
INFRACES factor with = -.090; SOCINT  
factor with = .083. The SELEXPLO factor  
had the weakest effect on their Loyalty towards  
Ho Chi Minh City with = .071 only. Finally,  
the total effect of these factors on Tourists’  
Loyalty was -.008.  
SOCINT  
.083  
SELEXPLO  
RELAX  
.090  
.110  
.083  
.111  
-.129  
.175  
PERVA  
TOLOY  
.367  
ENRENOT  
.222  
-.139  
NATENVI  
-.090  
INFRACES  
Figure 1. Path Coefficients of the Structural Equation for Hypothesis Testing  
30  
Factors affecting Chinese tourist’s loyalty towards Ho Chi Minh City...  
5. Discussion and Recommendations  
Discussion  
According to figure 1, the dependent  
illustrated, with Self-exploratory (= -.012);  
Relaxation (-.014); Entertainment,  
=
Recreation and Other Activities (= -.047);  
and Natural Environment (=-.029), which  
answer Hypothesis 3. For total effects, Natural  
Environment had the strongest effect on  
Chinese Tourists’ Loyalty with = -.168.  
Therefore, push motivation combined  
with pull motivation and the perceived value  
to the trip of the Chinese tourist could help  
predict their loyalty towards Ho Chi Minh  
City. The findings of this research were  
partially similar to the results of research  
made by Allan (2011); Cam (2011); Chang,  
(2013); and Khuong and Ha (2014).  
However, the results of this study also provide  
some negative correlations between Tourists’  
Loyalty and Tourists’ Perceived Value and  
two pull motivation (Natural Environment;  
and Infrastructure and Accessibility), which  
create a slight difference from other previous  
studies.  
variable – Tourists’ Loyalty was directly  
affected by seven factors: Social Interaction  
(= .083); Self-exploratory (= .083);  
Relaxation (  
Recreation and Other Activities (= .175);  
Natural Environment (-.139);  
=
.111); Entertainment,  
=
Infrastructure and Accessibility (= -.090)  
and Tourists’ Perceived Value (= -.129) at  
the 95% confidence level, which answered  
Hypothesis 2, and 13.9% the variation of  
Tourists’ Loyalty could explained by these  
factors (R2 = .139).  
The two main factors that directly affect  
Chinese Tourist Loyalty are Relaxation factor  
and Entertainment, Recreation and Other  
activities factor showing the importance of  
both pull and push factors in tourism industry.  
Tourists look for destinations that can make  
them feel relaxed and of course such  
destinations need to have special and unique  
selling points in terms of entertainment,  
nightlife, recreation, etc. It suggests policy-  
makers to encourage business, and change  
image of Vietnam to an active, interesting and  
fun destination with various activities for  
tourists.  
In comparison with Cam’s research  
(2011), some significant differences were  
found. In her findings, local food,  
environment and socio cultural factors were  
attractive to tourists travelling to Nha Trang  
while factors such as leisure, entertainment,  
infrastructure  
and  
accessibility  
were  
unattractive to them. On the contrary, this  
research found that such factors have some  
effect on Chinese tourists’ perceived value  
and loyalty.  
Only 13.9 percent of the variance in the  
TOLOY could be explained by six out of  
thirteen independent variables. This research  
covered many factors; however, the R square  
value was not high. It means there might be  
some other factors relating to Vietnamese  
demographic or Vietnamese family/relative  
characteristics that could affect Chinese  
tourists’ loyalty. Many Chinese tourists  
travelling to Ho Chi Minh City because their  
relatives are living here; therefore, further  
research studying Chinese tourists’ loyalty  
should focus more on other different factors to  
increase the percent that could be explained.  
Moreover, by conducting Path  
Moreover, Khuong and Ha (2014) found  
some slight different results by examining  
larger and more diversified target respondents  
including international leisure tourists  
(England, American, Chinese, French,  
Japanese, and Korean) traveling to the same  
destination, Ho Chi Minh City. Their findings  
showed that pull factors had significant and  
positive influence on tourists’ destination and  
return intention to Vietnam. This was contrast  
to this research’s findings due to different  
target respondents between the two studies.  
The negative effect between Tourists’  
Analysis, the indirect impacts of Independent  
Variables on Tourists’ Loyalty through  
Tourists’ Perceived Value were also  
Loyalty and Tourists’ Perceived Value or  
Journal of Science Ho Chi Minh City Open University VOL. 19 (3) 2016 October/2016 31  
Tourists’ Loyalty and two pull motivations  
(Natural Environment, Infrastructure and  
Accessibility) might result from the fact that  
the research target respondents were mostly  
Chinese visitors travelling not only for  
tourism purposes but also for doing business  
or visiting relatives. Noticeably, some of the  
respondents were businessman or investors  
who want to invest in Ho Chi Minh City. The  
less quality of Ho Chi Minh City natural  
prepared for alternative activities or plans to  
meet the different customers’ needs and to  
offer interesting and unforgettable tourism  
experiences. Tourist companies should  
cooperate with some recreational areas to  
offer tourists more exciting activities (cooking  
classes, sports, sailing, golf, etc.) and combine  
with special events or traditional holidays  
with special deal or discounts. Furthermore,  
more special events and festivals (about  
culture, sport or shopping, etc.) should be  
hold to attract more inbound tourists and  
impress them during a trip to the city.  
Finally, factors such as natural  
environment, infrastructure & accessibility  
system had negative effect on Tourists’  
Loyalty. The reason was probably that some  
research respondents are Chinese travellers  
who wanted to invest in Ho Chi Minh City.  
Ho Chi Minh City’s natural environment,  
infrastructure and accessibility system were  
generally good but not good enough for  
Chinese visitors to build up their loyalty  
toward the city so that they can return, start up  
their business and invest in the city. If these  
assumptions were true, Ho Chi Minh City’s  
government should have some encouraging  
moves to build trust in foreign investors. Also,  
the city’s administrative system should spend  
more time and money improving their service.  
The tourism managers need regularly check  
and update the state of all restaurants, hotels  
and entertaining places (such as bars, movie  
theaters, karaoke or shopping stores, etc.) in  
the city to make sure that they are in good  
condition. If any problems or damaged things  
are detected, they will need to be repaired  
immediately.  
environment  
and  
infrastructure  
&
accessibility, the less Chinese visitors  
perceived value to Ho Chi Minh City; the  
more loyalty Chinese visitors had towards Ho  
Chi Minh City to improve or invest, which  
depend very much on their aims of travelling  
to Ho Chi Minh City.  
Recommendations for Ho Chi Minh’s  
Tourism  
Based on these results, the research  
provides local tourism policymakers with  
some constructive recommendations for  
raising Chinese tourists’ loyalty as they travel  
to the city.  
Firstly, Vietnam destination marketers  
should invest more in impressive tourism  
advertisements and attractive promotional  
programs to boost potential customers’ travel  
motivation. Investing in tourism websites and  
video clips with diversified tourist  
information and images may also be effective  
ways to introduce Vietnam’s destinations to  
foreigners. Tourism organizations must create  
a positive atmosphere and build up good  
relationships with customers before, during  
and after a visit. The term “after” means that  
the organization should recreate an experience  
of satisfaction for tourists and make them  
desire to return and, at the same time, recall  
the memorable moments they have had about  
the destination.  
6. Conclusion  
In summary, this study sought to provide  
overall understanding about the tourism  
industry of Ho Chi Minh City and to  
recommend some methods to measure tourists’  
loyalty by identifying all independent and  
significant factors that directly or indirectly  
affected their loyalty. By analyzing the  
information collected from 470 respondents  
Secondly, tourist agents should diversify  
vacation packages and develop destination  
programs and activities to provide tourist with  
more choices. They should be more flexible in  
designing and providing tourist products and  
services. Besides, they need to get well  
32  
Factors affecting Chinese tourist’s loyalty towards Ho Chi Minh City...  
who travelled to Ho Chi Minh City, the  
research discovered some valuable results.  
Seven factors significantly affecting  
Chinese tourists’ loyalty include: (1) Social  
There were 4 factors held positive beta  
value, which meant the better Entertainment;  
Recreations and Other Activities; Relaxation;  
Social Interaction; Self-exploratory; the more  
loyalty Chinese tourist would have towards  
Ho Chi Minh City. In contrary, there were 3  
factors that held negative beta value, which  
meant the lower Natural Environment;  
Tourists’ Perceived Value; Infrastructure and  
Accessibility; the more loyalty Chinese tourist  
would have towards Ho Chi Minh City.  
Based on these results, the research  
provided some constructive recommendations  
for local tourism policy-makers to raise the  
loyalty of Chinese tourists coming to this  
destination, which might contribute to the  
success of tourism industry of Ho Chi Minh  
City  
Interaction,  
(2)  
Self-exploratory,  
(3)  
Relaxation; (4) Entertainment, Recreations  
and  
Environment;  
Other  
Activities;  
(6) Infrastructure  
(5)  
Natural  
and  
Accessibility and (7) Tourists’ Perceived  
Value. Especially, of which Entertainment,  
Recreations and Other Activities was the most  
important factor greatly affecting tourists’  
loyalty with the largest beta value (.175),  
followed by Natural Environment; Tourists’  
Perceived Value; Relaxation; Infrastructure  
and Accessibility; Social Interaction; and  
Self-exploratory with = -.139; -.129; .111; -  
.09; .083 and .083 respectively.  
References  
Allan, M. (2011). Toward a better understanding of motivations for a geotourism experience: A self-determination  
Anderson, E. W. & Mittal, V. (2000). Strengthening the satisfaction - profit chain. Journal of Service Research,  
3(2), 107120. doi: 10.1177/109467050032001  
Bowen, J. & Chen, S. (2001).The relationship between customer loyalty and customer satisfaction. International  
Journal of Contemporary Hospitality Management, 13(5), 213217. doi:  
Cam, T. T. A. (2011). Explaining tourists satisfaction and intention to revisit Nha Trang, Viet Nam. (Master thesis).  
Chang, L. (2013). Influencing Factors on Creative Tourists’ Revisiting Intentions: The Roles of Motivation,  
Experience and Perceived Value. Dissertations. Paper 1084.  
Crompton, J. (1979). Motivations for pleasure vacations. Annals of Tourism Research, 6(4), 408-424.  
Dimitriades, Z. S. (2006). Customer satisfaction, loyalty and commitment in service organizations. Management  
Research News, 29(12), 782800. doi:  
Dolnicar, S. (2005). Understanding Barriers to Leisure Travel: Tourist Fears as a Marketing Basis. Journal of  
Vacation Marketing, 11(3), 197-208. doi: 10.1177/1356766705055706  
Fuchs, G. & Reichel, A. (2006b). Tourist Destination Risk Perception: The Case of Israel. Journal of Hospitality  
and Leisure Marketing, 14 (2), 83-108. doi: 10.1300/J150v14n02_06  
Gallarza, M. G. & Saura, I. G. (2006). Value dimensions, perceived value, satisfaction and loyalty: an investigation  
of  
university  
students’  
travel  
behavior.  
Tourism  
Management,  
27(3),  
437452.  
doi:10.1016/j.tourman.2004.12.002  
Ghazizadeh, M., Besheli, A. L. & Talebi, V. (2010). Assessing of bank customers retention and loyalty: a case study  
of state-owned banks in Tehran. European Journal of Social Sciences, 17(2), 274-287.  
Journal of Science Ho Chi Minh City Open University VOL. 19 (3) 2016 October/2016 33  
Goossens, C. (2000). Tourism information and pleasure motivation. Annals of tourism research, 27(2), 301- 321.  
doi: 10.1016/S0160-7383(99)00067-5  
Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. (2006). Multivariate data analysis, 6th  
edition. New Jersey: Prentice Hall.  
Harwood, M. (2002). Branding on a budget: building the community bank’s image. Community Banker, 11(4), 24-  
28.  
Preacher, J. K. and Hayes, A. F. (2008). Asymptotic and re sampling strategies for assessing and comparing indirect  
effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891. doi:  
10.3758/BRM.40.3.879  
Preacher, J. K. and Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple  
mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717-731. doi:  
10.3758/BF03206553  
Kaplan, L. B., Geogre, J. S., and Jacoby, J. (1974). Components of Perceived Risk in Product Purchase: A Cross  
Validation. Journal of Applied Psychology, 59(3), 287-291. doi: http://dx.doi.org/10.1037/h0036657  
Khuong, M. N., and Ha, H. T. T. (2014). The Influences of Push and Pull Factors on the International Leisure  
Tourists’ Return Intention to Ho Chi Minh City, Vietnam — A Mediation Analysis of Destination  
Satisfaction. International Journal of Trade, Economics and Finance, 5(6), 490-496. doi:  
10.7763/IJTEF.2014.V5.421  
Klenosky, D. B. (2002). The pull of tourism destinations: a means-end investigation. Journal of travel research,  
40(4), 396-403. doi: 10.1177/004728750204000405  
Lau, A. L. S. & McKercher, B. (2004). Exploration versus acquisition: A comparison of first time and repeat  
visitors. Journal of Travel Research, 42(3), 279285. doi: 10.1177/0047287503257502  
Lee, J., Graefe, A. R., & Burns, R. C. (2007). Examining the antecedents of destination loyalty in a forest setting.  
Leisure Sciences: An Interdisciplinary Journal, 29(5), 463481. doi: 10.1080/01490400701544634  
Lindgreen, A., Davis, R., Brodie, R. J., & Buchanan-Oliver, M. (2000). Pluralism in contemporary marketing  
practices. International Journal of Bank Marketing, 18 (6), 294308. doi:  
Maser, B., & Weiermair, K. (1998). Travel Decision- Making: From the Vantage Point of Perceived Risk and  
Information Preferences. Journal of Travel and Tourism Marketing, 7(4), 107-21. doi:  
10.1300/J073v07n04_06  
Mitchell, V. W. & Vassos, V. (1997). Perceived Risk and Risk Reduction in Holiday Purchases: A Cross- Cultural  
and Gender Analysis. Journal of Euromarketing, 6(3), 47-79. doi: 10.1300/J037v06n03_03  
Oliver. (1997). Satisfaction: A Behavioral Perspective on the Consumer. New York: The McGraw-Hill Companies,  
Inc.  
Oppermann, M. (1998). Destination threshold potential and the law of repeat visitation. Journal of Travel Research,  
37(2), 131137. doi: 10.1177/004728759803700204  
Oppermann, M. (2000). Tourism destination loyalty. Journal of Travel Research, 39(1), 7884. doi:  
10.1177/004728750003900110  
Pritchard, M. & Howard, D. R. (1997). The loyal traveler: examining a typology of service patronage. Journal of  
Travel Research, 35(4), 210. doi: 10.1177/004728759703500417.  
Reid, L. & Reid, S. (1993). Communicating tourism supplier services: Building repeat tourist relationships. Journal  
of Travel and Tourism Marketing, 2(2/3), 319. doi: 10.1300/J073v02n02_02  
Reisinger, Y. & Mavondo, F. (2006). Cultural Differences in Travel Risk Perception. Journal of Travel and Tourism  
Marketing, 20(1): 13-31. doi: 10.1300/J073v20n01_02  
Schiffman, G. L. & Kanuk, L. L. (2004). Consumer Behavior. Pearson Education, Inc.  
34  
Factors affecting Chinese tourist’s loyalty towards Ho Chi Minh City...  
Sonmez, S. F., and Graefe, A. R. (1998a). Determining Future Travel Behavior from Past Travel Experience and  
Perceptions of Risk and Safety. Journal of Travel Research, 37(2), 171-177. doi:  
10.1177/004728759803700209  
Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics, 4th edition. New York: HarperCollins.  
Uysal, M. & Jurowski, C. (1994). Testing of the push and pull factors. Annals of Tourism Research, 21(4), 844-846.  
doi:10.1016/0160-7383(94)90091-4  
VNAT Vietnam National Administration of Tourism. (December 28, 2015). International visitors to Vietnam in  
December and 12 months of 2015. Retrieved from  
VNAT Vietnam National Administration of Tourism. (January 15, 2016). HCM City targets 5.1 million  
World Tourism Cities Federation. (December 09, 2014). Market Research Report on Chinese Outbound Tourist  
World Travel & Tourism Council. (March 2016). 2016 Economic Impact Annual Update Summary. Retrieved from  
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of  
evidence. Journal of Marketing, 52(3), 222. doi: 10.2307/1251446  
Zins, A. H. (2001). Relative attitudes and commitment in customer loyalty models. International Journal of Service  
Industry Management, 12(3), 269294. doi:  
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