Service Quality and Customer Satisfaction : A Case Study of Hotel Industry in Vietnam

The purpose of this study is to empirically examine the relationship between service quality and customer satisfaction in Vietnamese hotels, survey questionnaire was constructed with 23 service quality items covering 5 service quality dimensions based on SERVQUAL model. Data were collected from 432 guests of 33 three-star hotels in Vietnam in 2013. Analysis results indicate that Reliability, Responsiveness, Assurance, and Empathy significantly impact on the customer satisfaction. The study implies that service quality plays an important role as a driver for higher customer satisfaction level in hotel service. Managers would focus on Empathy, Reliability, Responsiveness, and Assurance to achieve high degree of customer satisfaction which leads to customer loyalty and business profit.


Introduction
Quality has attracted the attention of practitioners and academicians over the years but mostly in the manufacturing sector at the first stage.Since 1980s, however, the importance of quality for business performance in service sector has been also widely recognized in the literature through the great impacts on different dimensions of business performance.To study service quality, several measurement frameworks were established such as Technique and functional quality model Gronroos (1984), SERVQUAL (Parasuraman et al., 1985(Parasuraman et al., , 1988)), Synthesized model of service quality (Brogowicz et al., 1990); SERVPERF (Cronin & Taylor, 1992), Antecedents and mediator model (Dabholkar et al., 2000).Based on those frameworks, researchers found the benefits of service quality include the improvement of customer satisfaction and customer retention, positive word of mouth, the decline in staff turnover and operating costs, the enlargement of market share, and the growth of profitability (Kandampully & Suhartanto, 2000;Sureshchandar et al., 2002;Kang & James, 2004;Ladhari, 2009).The researchers also highlighted the importance of service quality with direct effects on customer satisfaction as well as indirect effects on customer loyalty (Hossain, 2012;Al Khattab & Aldehayyat, 2011;Karunaratne & Jayawardena, 2010).
Tourism is often viewed as a "smokeless industry" bringing tremendous values to the global economies.Asia is one of amazing and most popular destinations for tourists which offer a wide-range of attractions in terms of landscape, culture, and people.Especially, tourism in ASEAN countries has seen considerable development by attracting a huge and increasing number of arrivals with 73.7 million tourists in 2010, 81.2 million in 2011, and 89.2 million in 2012 (Association of Southeast Asian nations, 2014).
In Vietnam, tourism business is considered as a promising prospect to this nation's development.It welcomed more than 5 million visitors in 2010, more than 6 million visitors in 2011, and nearly 7 million visitors in 2012 (Association of Southeast Asian nations, 2014).Total revenue of tourism industry has increased rapidly from 4.8 billion USD in 2010 to 6.5 billion USD in 2011, and to 8 billion USD in 2012.It has contributed over 5% to Vietnamese GDP and created jobs for more than 334,000 direct labors and approximately 710,000 indirect labors (Thornton, 2012).
Hotel service is recently regarded as one of core businesses making up the tourism complex system which is one of the fastest growing industries in Vietnam during the past decade.The intensively competitive market requires hoteliers continuously renew and improve themselves to attract customers.In this context, the attention to service quality from the customer's perspective is considered as one of the most important factors deciding the success of tourism and hotel businesses.Therefore, the measurement of service quality and the evaluation of its impact on the customer satisfaction have been a great concerned topic for academics and practitioners in many service industries including tourism and hotel industries.To measure service quality in hotel, lodging, hospitality business, several frameworks have been developed such as LODGSERV (Knutson et al., 1990), LQI (J.M. Getty & R. L. Getty, 2003) and HOLSERV (Mei et al., 1999); and many studies adopted these scales to evaluate perceived quality in hotel services such as Wilkins et al., (2007), Ladhari, (2009), Al Khattab and Aldehayyat (2011), Boonitt and Rompho (2012), Karunaratne and Jayawardena (2010), Hossain (2012), Markovic and Raspor (2010), Juwaheer (2004), Juwaheer and Ross (2003).These studies provided mixed results on the impacts of different service quality dimensions on customer satisfaction and customer loyalty in various regions including Asian countries.However, the application of such frameworks in measuring service quality in Vietnamese hotel businesses is still limited.
To fill this gap, our study is conducted to empirically investigate hotel service quality in Vietnam.The main objectives of this study are to measure perceived service quality at Vietnamese hotels and its impact on customer satisfaction.
The paper starts with reviewing the empirical literature of service quality and customer satisfaction.A simple analytical framework is introduced in the third section, which is followed by research methodology, data collection, measurement testing, and hypotheses testing.The last two sections are discussions and implications, and conclusions.

Literature Review
The importance of service quality for business performance has been recognized in the literature through the direct effect on customer satisfaction and the indirect effect on customer loyalty (Al Khattab and Aldehayyat, 2011).Various scales and indexes to measure service quality such as Technical and Functional Quality model (Gronroos, 1984), SERVQUAL (Parasuraman et al., 1985(Parasuraman et al., , 1988)), Synthesized model of service quality (Brogowicz et al., 1990); SERVPERF (Cronin & Taylor, 1992), Antecedents and mediator model (Dabholkar et al., 2000) have been developed and extensively used by academics and practitioners.Among them, SERVQUAL is often considered as the most commonly applied in a numerous empirical studies across various service industries and in many countries.
SERVQUAL scale was originally developed by Parasuraman et al. in 1985 by comparing expectations with perceptions on 10 service quality aspects.By 1988, this scale was further identified with 5 dimensions of service quality namely Tangible, Reliability, Responsiveness, Assurance and Empathy.These five dimensions are thus assessed by a total of 44 items in which 22 items to measure the general expectations of customers concerning a service; and the remaining 22 items to measure the perceptions of customers regarding the levels of service actually provided by the company within that service category (Ladhari, 2009).
However, SERVQUAL has been criticized on its confusion, and SERVPERF was proposed by Cronin and Taylor (1992) in which "expectation" -(E) component of SERVQUAL be discarded and instead "performance" -(P) component alone be measured by 22 items.Methodologically, the SERVPERF scale represents marked improvement over the SERVQUAL scale by reducing the number of items by 50 per cent, and being able to explain greater variance in the service quality measured through the use of single-item scale (Jain & Gupta, 2004).
Although the SERVQUAL scale is a very useful instrument as its concept, it is still needed to be adapted for specific service industry.Guided by SERVQUAL, LODGSERV scale was specifically tailored to the lodging industry by Knutson et al. (1990).This scale initially contained 36 items designed to tap various aspects of the 5 service quality dimensions namely Tangible, Reliability, Responsiveness, Assurance, and Empathy.The items were used to measure consumers' expectations for service quality in a hotel experience.After three testing instruments including validity, reliability and utility, 10 of the original 36 questions were shown to not contribute meaning to the index, and final version of LODGSERV was completed with 26 question items.In 2003, another Lodging quality index (LQI) to assess customers' perception of quality delivery was proposed by J. M. Getty & R. L. Getty (2003).The study began with the same 10 original dimensions that were used to develop SERVQUAL namely Tangibility, Reliability, Responsiveness, Competence, Courtesy, Credibility, Security, Access, Communication, and Understanding with initial 63-item instrument to measure customers' perception of delivered quality.After reliability and validity testing through empirical evidence, final lodging quality index (LQI) comprised 26 items covering 5 dimensions namely Tangibility, Reliability (includes original reliability and credibility dimensions), Responsiveness, Confidence (includes original competence, courtesy, security, and access dimensions), and Communication (includes original communication and understanding dimensions).
More significantly, Mei et al. in 1999 examined the dimensions of service quality in the hospitality industry and proposed HOLSERV scale by extending the SERVQUAL scale to include 27 items with 8 new items.This study tested the reliability and validity of HOLSERV and determined which dimension is the best predictor of overall service quality.Key findings of the study are that service quality is represented by three dimensions in the hospitality industry, relating to employees (behavior and appearance), tangibles and reliability, and the best predictor of overall service quality is the dimensions referred to "employees".
Customer satisfaction has become a vital concern for companies and organizations in their efforts to improve product and service quality, and maintain customer loyalty within a highly competitive marketplace (Awwad, 2012).Through previous three decades, a number of customer satisfaction indicators have been developed and applied across different countries.The first national customer satisfaction index was introduced in 1989 namely Swedish customer satisfaction barometer (SCSB) by Claes Fornell (1992).In 1996, Fornell developed the American Customer Satisfaction Index (ACSI) (Fornell, 1996) based on SCSB which then has been become increasingly well-adopted scale in many countries.Moreover, the European Customer Satisfaction Index (ECSI) was established and introduced in 11 European countries (Turkyılmaz, 2007).In these scales, customer satisfaction items were identified based on the popular view point about customer satisfaction stated that satisfaction is associated with performance that fulfills (equal to or above) expectations (Heung, 2000).In other word, customer satisfaction items will measure whether or not the quality of a service meets a customer's expectations.
LODGSERV (Knutson et al., 1990), LQI (J.M. Getty & R. L. Getty, 2003), and HOLSERV (Mei et al., 1999) are all developed on the basis of SERVQUAL scale to measure service quality in the lodging, hospitality industry.Moreover, there have been numerous empirical studies supporting for the validity of the SERVQUAl model in the hotel service industry (Wilkins et al., 2007;Ladhari, 2009).These study adapted SERVQUAL scale with some modifications to measure hotel service quality such as Tsang and Qu (2000), Al Khattab & Aldehayyat (2011), Boonitt & Rompho (2012), Karunaratne & Jayawardena (2010), Juwaheer & Ross (2003).Moreover, there are studies which not only apply SERVQUAL to measure hotel service quality, but also use this measurement to investigate the impact of service quality on customer satisfaction such as Hossain (2012), Markovic & Raspor (2010), Juwaheer (2004).
In Vietnam, there are a few studies investigating the linkage between service quality and customer satisfaction in Vietnamese tourism industry such as Analyzing factors that affect tourists' satisfaction with service quality by Vu (2012), Examining domestic tourists' satisfaction with tourism service by Dinh et al., (2011).However, these studies focus on several specific regions and need more intensive studies.
To address this need, the study, based on SERVQUAL model with some customizations, aims to empirically examine the relationship between service quality and customer satisfaction in Vietnamese hotels.

Analytical Framework
SERVQUAL scale (Parasuraman et al., 1988) is one of the most widely used instruments to measure service quality in various service fields including hotel business (Hossain, 2012;Boonitt & Rompho, 2012;Al Khattab & Aldehayyat, 2011).This study adopted SERVQUAL scale with some customizations to measure perceived service quality as well as examine the relationship between service quality and customer satisfaction in Vietnamese hotels.
The analytical framework is proposed as following: This scale measures hotel service quality through five distinct dimensions namely Tangible, Reliability, Responsiveness, Assurance, and Empathy.These dimensions have been also extensively accepted and applied by many academics and practicing managers in various industries.
-Tangible: the appearance of hotel and hotel staff, physical facilities at hotel/rooms, visual materials for customers.
-Reliability: hotel's ability to perform services accurately and on time right at the first time.
-Responsiveness: hotel's willingness and flexible to serve and help customers.
-Assurance: hotel's ability to build trust in customers about hotel services, hotel staff's knowledge and skills.
-Empathy: hotel's attentions and cares to each individual customer.
Service quality measures how well the delivered service could match customer's expectations while delivery service quality refers to meeting and satisfying customer's expectation consistently and positively (Parasuraman et al., 1985).Based on literature, several empirical studies found the linkage between customer satisfaction with Tangible (Al Khattab & Aldehayyat, 2011), Empathy (Hossain, 2012;Al Khattab & Aldehayyat, 2011), Responsiveness (Karunaratne & Jayawardena, 2010), Relibility (Markovic & Raspor, 2010).The main target of this study is to investigate the relationship between service quality and customer satisfaction.Therefore, we proposed five hypotheses for this research model as followed: -H1: Tangible component of service quality has positive impact on customer satisfaction; -H2: Reliability component of service quality has positive impact on customer satisfaction; -H3: Responsiveness component of service quality has positive impact on customer satisfaction; -H4: Assurance component of service quality has positive impact on customer satisfaction; -H5: Empathy component of service quality has positive impact on customer satisfaction.
After reviewing literature to model the analytical framework, a questionnaire was developed as an adapted version of SERVQUAL (Parasuraman et al., 1988), and referenced to LODGSERV (Knutson et al., 1990), LQI (J.M. Getty & R. L. Getty, 2003), and HOLSERV (Mei et al., 1999).The questionnaire was first developed in English, and then translated into Vietnamese to be conveniently used in wide survey.
The original questionnaire for this study comprised 30 question items on service quality and customer satisfaction.Then, a pilot testing with a convenient sample of 36 MBA students was conducted to get feedbacks on how easy to answer the questionnaire.Together with in-depth interviews with academics and practitioners in quality management and hotel operation fields, a more comprehensive questionnaire version was completed by adding 3 new question items and rejecting 10 unclear question items.

Hotel service quality
The questionnaire was divided into 3 parts.The first part contained questions relating to socio-demographic data about respondents.The second part was designed to measure respondents' perception about service quality offered by hotels.The remaining part assessed respondents' perception regarding to their satisfaction about hotel services.This measurement bases on a five-point Likert scale (1 = strongly disagree, 3 = neither agree nor disagree, 5 = strongly agree).The survey respondent is a mixed sample of individual and group visitors who stayed at least one night at examined hotel in the period from May 2013 to June 2013.
Data collected will firstly be tested the scale reliability and validity.Then, regression analysis will be taken to test the relationship between service quality and customer satisfaction of three-star hotels in Da Nang.

Data Collection
Data in this research were acquired from guests of 33 three-star hotels in Da Nang city, one of the most favorite places for tourists in Vietnam, an emerging city which has the highest developing speed and be ranked as the most competitive region in Vietnam (CBRE, 2011) Huge contributions of three-star hotel, four-star hotel and five-star hotel classes for the economic growth in this region have been taken under high consideration by many economists and researchers (Da Nang Culture, Sports and Tourism Department, 2012).According to statistics from CBRE market review 2012, three-star hotels in Da Nang present a largest serving capacity with 33 hotels and 1.984 rooms, followed by 8 five-star hotels with 1.649 rooms, and 3 four-star hotels with 563 rooms (CBRE, 2012).Statistics for three-star hotels in this region provide evidence for the highest occupancy rate of 66.4% in 2011 (Thornton, 2012).However, three-star hotels are the middle class hotels with limited investment and attention to service quality.Besides, literature reviewing in Vietnam shows that there was not official research addressing quality aspects in Vietnamese three-star hotels despite high necessity of this research topic in the national context in recent years.
Among 500 questionnaires provided to customers, 447 responses were collected.After inputting data and screening questionnaires, 15 missing responses were rejected from the data set and the remaining 432 valid responses have been used to analyze by SPSS 20.0.The sample data indicates that the majority respondent group (88.2%) is the young tourist with the range of age between 20 to 30 years old.In addition, 89.6% of respondents staying at three-star hotels in Da Nang with the purpose of travelling while just 8.6% of them staying there with business trip purpose.Over 50% of respondents has a rather high income per month with about 300USD to 600USD.The percentage of guests with income under 300USD or ranging from 600USD to 1000USD is much smaller with 25.9% and 17.6%, respectively.

Measurement Test
The first step of measurement testing process is reliability test.One method to measuring reliability is through internal consistency which refers to the degree of inter-correlation among items that comprise the measure or summated scale (Flynn et al., 1990).The most widely accepted measure of internal consistency is Cronbach's alpha which is the average of the correlation coefficient of each item with each other item (Cronbach & Meehl, 1955).In this study, calculated Cronbach's alpha values for all scale exceeds the minimum acceptable alpha value of 0.60 (Nunnally, 1978;Phan & Matsui, 2012).Most of the scales have alpha value greater than 0.70 indicating that the scales are internally consistent.(Parasuraman et al., 1988), LODGSERV (Knutson et al., 1990), HOLSERV (Mei et al., 1999), LQI (J.M. Getty & R. L. Getty, 2003) T3 Appealing decoration LODGSERV (Knutson et al., 1990) T4 Neat appearance staff SERVQUAL (Parasuraman et al., 1988), LQI (J.M. Getty & R. L. Getty, 2003) T5 Visually presented brochures and directories Customized from HOLSERV (Mei et al., 1999)

A1
Guests feel safe and secure in their stay HOLSERV (Mei et al., 1999)

E3
Positive attitude when recieve feedback from guests New E4 Healthful menu LODGSERV (Knutson et al., 1990) The next step of measurement testing process is validity test to measure whether the item or scale truly measures what it is supposed to measure and whether it measures nothing else.Validity test will be taken with content validity and construct validity test.
Content validity of the questionnaire is confirmed by intensive literature reviewing and by opinions from experts and operators in hotel industry.The main valuable references to construct question items for this study are SERVQUAL (Parasuraman et al., 1988) -a multiple-item scale for measuring consumer perceptions of service quality, LODGSERV (Knutson et al., 1990) -a service quality index for the lodging industry, LQI (J.M. Getty & R. L. Getty, 2003) -lodging quality index to assess customers' perceptions of quality delivery, and HOLSERV (Mei et al., 1999) -a service quality measurement scale for the hospitality industry.Moreover, many empirical studies have applied the above scales to measure service quality in hotels such as Tsang & Qu (2000), Al Khattab & Aldehayyat (2011), Boonitt & Rompho (2012), Karunaratne & Jayawardena (2010), Juwaheer & Ross (2003) are also valuable references for this study.
Construct validity is tested through factor analysis to ensure that the scale is an appropriate operational definition of an abstract variable (Flynn et al., 1990).In this study, factor analysis is conducted with 5 summated scales -Tangible, Reliability, Responsiveness, Assurance, and Empathy -simultaneously.In KMO and Bartlett's Test, KMO value measuring the sampling adequacy equals to 0.840 (greater than 0.5) with significant value is 0.000.These numbers confirm the validity of data for exploratory factor analysis.By Principal Component Analysis and Varimax with Kaiser Normalization rotation method, 5 components are extracted with greater than 1 eigenvalues.The cumulative of variance is 75.75% which means that these 5 components explain 75.75% of service quality variance.Factor loadings of all service quality items which indicate correlation between the variables and the factor are greater than 0.5.These results would confirm that data are valid and could be use for further analysis.

Data Analysis
Regression analysis is conducted to examine the relationship between hotel service quality and customer satisfaction and to test the hypotheses as set in the above section.A multiple regression model is constructed with customer satisfaction as the dependent variable and Tangible, Reliability, Responsiveness, Assurance, and Empathy as the independent variables.
Prior to regression analysis, correlation analysis is conducted and the results are presented in Table 6.We found the significant correlation between the customer satisfaction and all of 5 service quality dimensions.In addition, we found also the high correlation coefficients between service quality dimensions.Therefore, the Variance Inflation Factor (VIF) that measures the inflation in parameter estimate due to the collinearities among independent variables is calculated for the regression model.The value of VIF for each variable is presented in Table 7.By setting the acceptable value for VIF at 4 as suggested in the literature, it is found that model variables are within the VIF limit indicating that their multi-collinearities do not have an undue influence on least squares estimates.As the result, all the variables are retained in the model for further analysis.If we take the value of R 2 to be the explanation power of regression model, these 5 service quality variables can clearly explain 51.2% of the variation of the customer satisfaction.Considering the beta coefficient of each independent variable and its significant level, we found that 4 intangible components of service quality including Reliability, Responsiveness, Assurance, and Empathy show the significant impact on Customer satisfaction (at the 5% significant level).Among them, Empathy expresses the strongest impact on Customer satisfaction with highest coefficient value of 0.382.Reliability, Responsiveness and Assurance represent the relative smaller impacts with coefficient values of 0.131, 0.174, and 0.121, respectively.Tangible component, however, is the only independent variable which does not indicate the significant impact on customer satisfaction at the 5% level.
Table 8.The results of hypotheses testing

Hypotheses Result
H1: Tangible component of service quality has positive impact on customer satisfaction Not supported H2: Reliability component of service quality has positive impact on customer satisfaction Supported H3: Responsiveness component of service quality has positive impact on customer satisfaction Supported H4: Assurance component of service quality has positive impact on customer satisfaction Supported H5: Empathy component of service quality has positive impact on customer satisfaction Supported The regression results would support hypotheses related with Reliability, Responsiveness, Assurance, and Empathy while would not support hypothesis related to Tangible dimension.

Discussions and Implications
This study adopted SERVQUAL approach to measure perceived service quality and its impact on customer satisfaction in Vietnamese hotels.A framework with comprehensive questionnaire consists of 21 question items.
The research results demonstrate that the service quality is a strong driver for customer satisfaction in hotel service in Vietnam.Among 5 quality dimensions, 4 intangible ones represent the significant impacts on the customer satisfaction whereas tangible is the only one does not reveal this clear impact.A similar conclusion is that the tourists would evaluate the importance of intangible elements of service quality higher than the tangible elements can be found in the research on service quality in UK holiday market by Ekinci et al. (2003).
Data analysis result stresses the most significant impact of Empathy on Customer satisfaction.Empathy refers to providing customers individual attention, understanding customer specific needs, having positive attitude when recieve feedback from customers, and providing healthful menu.That means the hotels can considerably increase their customer satisfaction level if they may better perform their empathy.This result was supported by the research in Bangladesh's tourism industry of Hossain (2012) which applied SERVQUAL scale to measure service quality and examine the impact of these service quality dimensions on customer satisfaction.This research result stressed Empathy with strongest impact on customer satisfaction.
Together with Empathy, three remaining intangible quality dimensions namely Responsiveness, Reliability, and Assurance express positively significant influence on Customer satisfaction.Among these three dimensions, Responsiveness which refer to the willingness to serve customers, availability to respond to customers' requests and flexibility to meet customers' demands has the strongest impact on customer satisfaction.Reliability contains attributes relating to performing services on time and accurately, solving problem sincerely, and keeping records confidentially is the next strong impact dimension; followed by Assurance which regards to customers' feeling safe and secure, staff's knowledge of surrounding areas, staff's occupational skills and staff's courteous attitude.This finding is highlighted in the research by Hossain (2012).Besides, Knutson et al. (1990) also supported for this finding by pointing out consumers' consistently high expectations for Reliability and Assurance dimensions which refer to consistent and on time services, quickly corrected problems, trained employees, knowledgeable staff, and customers' comfortable feelings.Moreover, Mei et al. (1999) obtained similar results of reflecting important influence from Employee dimensions which relating to prompt service, willingness to help, confident in the delivery of service, polite, knowledgeable, skillful, caring, understanding, sincere, neat and professional employees, and Reliability dimensions which referring to keeping promises, accurate and timely service, safe and secure stay.Furthermore, in the research on international tourists' perceptions of hotel operations in Mauritius by Juwaheer (2004), the research result also illustrated reliability factor, staff outlook and accuracy as important service dimensions affecting hotel customers' satisfaction.
The important role of 4 intangible quality dimensions implies suggestions for hoteliers to strongly focus on improving these quality dimensions to better gain customer satisfaction.It can be seen that these quality dimensions mostly rely on hotel staff's knowledge and attitude.One concerning suggestions for hoteliers is that they should appropriately allocate resources to provide training for hotel staff.As a result, hotel staff will be more confident with occupational skills and knowledge to serve and help customers.
Different from the four intangible quality dimension, Tangible represent a non-significant impact on the customer satisfaction although it also has positive correlation with customer satisfaction.It may be explained that hotels in Da Nang are mostly constructed in some recent years with quite new facilities and equipments so that customers do not regard this dimension as a differentiation factor among different hotels when they make decision.However, many previous studies found Tangible as one of significant factors affecting customer satisfaction such as Hossain (2012), Mei et al. (1999), andJuwaheer (2004).Especially, Juwaheer (2004) indicated that Room attractiveness and décor is the most significant factor affecting customer satisfaction.Therefore, hoteliers also should not ignore this dimension in their operations.
One limitation of this study is that the survey was conducted with guests of three-star hotels in Da Nang city.Moreover, time period to collected data were mostly in two months of tourism season -May and June 2013, with limited valid responses of 432 ones.Thus, some conclusions may be improved in other more extensive studies.
Despite these limitations, the study contributes to enrich the literature of service quality and customer satisfaction from a customer perspective.It enhances understanding of service quality and its impacts on customer satisfaction in Vietnamese hotels.The findings and implications will benefit hoteliers working in Vietnam who want to increase competitive advantage through quality dimensions.
In further research, this empirical evidence may be improved and better represent for hotel industry in any regions in Vietnam or even in the whole Vietnam with larger sample and during-year data collection.Besides, further research may deeply examine whether items used in this study are suitable to measure service quality in hotels at other classes such as four-star hotels, five-star hotels.Additionally, different demographic variables may be taken under the consideration as controlling variables to discuss the different impacts of service quality on customer satisfaction among different sample groups.

Conclusions
This study adopted SERVQUAL to empirically investigate the impact of service quality components on customer satisfaction in Vietnamese hotel business.Data were collected from an extensive survey with customers from 33 three-star hotels in Vietnam.Analysis results indicated that the strong relationship between service quality dimensions and customer satisfaction.Beside the importance of image, advertising, and promotion factor, service quality plays an important role as a driver for higher customer satisfaction level in service enterprises.
Four intangible components namely Empathy, Reliability, Responsiveness, and Assurance stress statistically significant impacts on customer satisfaction with significant level at 5%.Empathy illustrates strongest impact on customer satisfaction with the highest beta coefficient value, followed by Responsiveness, Reliability, and Assurance, respectively.Tangible, however, is the only factor that does not reveal a statistical impact on customer satisfaction.This result indicates that service quality confirms its role as an important driver of customer satisfaction which leads to customer loyalty and the hotels' profits.Therefore, service quality should be taken into high consideration in both academic and practical activities.

Figure
Figure 1.Analytical framework

Table 1 .
Summary of empirical studies on hotel service quality . Moreover, this destination is more well-known and attractive by hosting many famous events such as International Fireworks Competition, International Marathon Competition, Miss Vietnam, and Culture Festivals.According to the statistics from Da Nang Culture, Sports and Tourism Department, Da Nang welcomed 2.65 million arrivals including 2.02 million Vietnamese visitors and 0.63 million foreign visitors in 2012 which increase by 12% compared to 2011.

Table 2 .
Demographic profiles of respondents

Table 3 .
Reliability test

Table 5 .
Results of factor analysis