Tài sản thương hiệu dựa trên góc độ khách hàng trong xây dựng thương hiệu khách sạn: Nghiên cứu thực tế đối với khách sạn 3 sao trên địa bàn thành phố Hà Nội

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CONSUMER-BASED BRAND EQUITY IN HOTEL BRANDING:  
AN EMPIRICAL STUDY ON 3-STAR HOTELS LOCATED IN HANOI  
TÀI SẢN THƯƠNG HIỆU DỰA TRÊN GÓC ĐỘ KHÁCH HÀNG  
TRONG XÂY DỰNG THƯƠNG HIỆU KHÁCH SẠN:  
NGHIÊN CỨU THỰC TẾ ĐỐI VỚI KHÁCH SẠN 3 SAO  
TRÊN ĐỊA BÀN THÀNH PHỐ HÀ NỘI  
MA. Nguyen Thu Huong; MA. Hoang Thi Thu Trang  
Thuongmai University  
Abstract  
This paper analyses the impacts of consumer-based brand equity (CBBE) parts (i.e., brand  
loyalty, brand awareness, perceived quality) of hotel brands on purchase intention. Through a  
study including 105 travellers in Hanoi, it reveals that two CBBE elements relate to directly in-  
fluence purchase intention. Results suggest that hospitality service providers could generate pos-  
itive customer responses by improving brand equity through different initiatives. Offering  
consumers integrated information about a brand from different aspects could enhance their be-  
havioral intentions. Managers should provide more accurate estimations of marketing efforts  
and organize information input in a more integrated manner to facilitate message processing  
and accessibility, which result in increased behavior intention.  
Keywords: consumer- based brand equity; hotel branding  
Tóm tắt  
Nghiên cứu phân tích những tác động của các thành phần tài sản thương hiệu (Lòng trung  
thành đối với thương hiệu, Nhận biết thương hiệu, Chất lượng cảm nhận) của thương hiệu các  
khách sạn đối với ý định sử dụng dịch vụ. Thông qua việc phân tích 105 khách du lịch đang lưu  
trú tại khách sạn 3 sao trên địa bàn thành phố Hà Nội, nghiên cứu đã chỉ ra rằng có hai thành  
phần (Nhận biết thương hiệu và Chất lượng cảm nhận) có ảnh hưởng trực tiếp tới ý định sử dụng  
dịch vụ của du khách. Bên cạnh đó, kết quả cũng cho thấy rằng các nhà quản trị của khách sạn  
có thể tạo ra phản ứng tích cực của khách hàng bằng cách nâng cao tài sản thương hiệu thông  
qua các cải tiến khác nhau như cung cấp thông tin đầy đủ và các tính toán chính xác hơn về các  
nỗ lực marketing để tạo điều kiện thuận lợi cho việc xử lý thông điệp và khả năng tiếp cận.  
Từ khóa: tài sản thương hiệu, xây dựng thương hiệu khách sạn  
1. Introduction  
The global integration has been attributed to the dramatical increase of tourism service  
sector regrading the quantity and quality dimensions. This development has made a change in  
hotel’s branding, which require managers to recognize the importance of brands [Yu Xie H. &  
Boogs D.J. (2006)]  
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Many previous studies indicate that the profound of brands which can impact on  
customer’s attachment through creating sensible and emotional feelings of the superior quality  
services. This lead to the advantage of companies comparing with their rivals in attracting new  
customers and maintaining repeat ones’s loyalty. Moreover, a branded hotel will have the power  
to negotiate with partners and suppliers, contributing to the ability of applying more incentives  
to their customers [Motameni R. & Sharhrokhi M. (1998)]. On the other hand, a strong hotel  
brand will create higher value for customers and larger profit for shareholders [Kotler & Keller.  
(2006)].  
In branding, hotel services’ brands have many differences from commodity’s brands due  
to the distinct characteristics between service and good. Hotels often offer two kind of products  
composed of goods sold such as food, beverages, souvenirs and other goods; and services pro-  
vided as main services and additional services [Nguyễn Văn Mạnh & Hoàng Thị Lan Hương  
(2008)]. In particular, main services including room and catering one satisfy the necessity of  
customers; Additional services could consist of swimming pools, spa, events, travel, etc.  
Quality of service is measured by customer satisfaction [Parasuraman et al., 1988] and  
customers’ overall assessment of each service provided during their stays [Bùi Xuân Nhàn  
(2009)]. Ccustomer satisfaction is based on the difference between their perception and expecta-  
tions. The expectations of customers will vary depending on standard group of hotels. The mission  
of the hotel is to design a level of service quality that is higher than the expectations of customers  
and manage system to minimize errors to improve customer perception. In addition, service qual-  
ity is positively related to consumers’emotions, service quality is positively related to behavioral  
intentions and consumers’emotions are positively related to behavioral intentions. Moreover, the  
model postulates that emotional mediated the effect of service quality on behavioral intentions  
[Ladhari R. (2009)]. As a result, the hotel needs to create a positive feeling for the customer in  
order to influence their buying behavior and loyalty so far.  
The changes in the customer behavior in buying process requires a lot of hotel’s adapta-  
tion in new competitive market. Building brands for hotel services is not only the implementation  
of services activities to satisfy their customers, but more important their follow-through on all  
aspects of their customer’s insight. So, through applying consumer-based brand equity model,  
hotel managers can apprehend the reason why their target customer chose their hotels instead of  
their rivals. As a result, each hotel has the basis of selecting their different points in order to en-  
courage brand loyalty to their own services. From all of these above, there is necessary of the re-  
search about the impact of consumer-based brand equity toward purchase intention.  
2. Background  
2.1. Consumer-based brand equity definitions  
“Brand equity” is one of the term widely used by groups of academics and businesses over  
the world. In recent years, there has been an increasing interest in brand equity studies because  
of their effect on business valuation, especially when its results are useful for the purpose of  
merge and acquisitions. A considerable amount of literature has been published on brand equity  
since the 1980. These previous studies have reported that brand equity has formed in multi di-  
mensions, for example financial - based, market - based, customer - based aspects. To date there  
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has been little agreement on what its definitions, effects, and measurement methods, but to the  
end, most of researches consider that brand equity exists in customer’s mind-set and play a role  
as the potential intangible asset to create business’s competitive advantage.  
Currently, there is two sides of brand equity researches. The first group, who agree with  
using this term, they have done many researches based on Aaker’s model [1996, 1991], and  
Keller’s model [2003, 1993]. Aaker [1996, page.17] identifies consumer-based brand equity is  
“a set of brand assets and liabilities linked to a brand, its name and symbol that adds to or sub-  
tracts from the value provided by a product or service to a firm and/or to that firm’s consumers.”  
While Keller [1993] determines “Customer-based brand equity is defined as the differential effect  
of brand knowledge on consumer response to the marketing of the brand”, and consumer response  
to marketing is defined in terms of consumer perceptions, preferences, and behaviour arising  
from marketing mix activity (e.g., brand choice, comprehension of copy points from an ad, reac-  
tions to a coupon promotion, or evaluations of a proposed brand extension). The common de-  
nominator in all models is adoption of one or more dimensions from the Aaker model such as  
Christodoulides and De Chernatony [2010], Liu et al., [2017], Yoo and Donthu [2001]. On that  
basis, this research uses three common elements as perceived quality, brand loyalty, brand aware-  
ness in CBBE model, and purchase intention as consumer’s response. Purchase intention (or will-  
ingness to buy) is the likelihood that a buyer intends to purchase a product or service [Liu et al.,  
(2017), Dodds et al., (1991)], brand have an impact on their purchase behaviour [Kotler & Keller  
(2012)], brand purchasing intentions are the most important outcome expected from brand per-  
ception [Foroudi P., Jin Z., Gupta S., et al. (2018)], and perception with higher level can influence  
consumer’s purchase intention [Pappu & Cooksey (2005)], and brand equity increase purchase  
intentions and consumer preferences as its consequences [Cobb-Walgren et al., (1995)].  
Being on the opposite side of that which the first group agree with “brand equity” term,  
several researchers prove both the theoretical and empirical evidence to point that “brand equity”  
appearance is vague and it confuse a lot of practices in business management. On the top of this  
group is Paul Feldwick who was a former CEO of IBM Group [Feldwick P. (2002)] consider  
brand value is a set of brand associations and form a brand description in customer’s mind-set.  
It has profound influence on consumer’s buying process, enhancing company’s market perform-  
ance shown through their brand preferences and brand loyalty.  
Despite of some limitations of the theoretical framework, several authors have done their  
research about brand equity in the service sectors in order to test the hypothesis based on the dif-  
ferent points of goods and service. In this field, hotel branding and applying consumer - based  
brand equity have also been well-thought - of topic research, for example Liu et al., [2017], Cobb-  
Walgren et al., [1995], Bill Xu & Chan, [2010], Kayaman & Arasli [2007]. These researches did  
not mention about Brand Associations which is the last component of Aaker’s model due to a  
duplication of several observed variables belongs to Perceived Quality. Therefore, this research  
use (1) Perceived Quality, (2) Brand Loyalty, (3) Brand awareness as 3 components of CBBE  
model to examine whether each dimension has direct impact on consumer’s purchase intention  
in providing hotel services.  
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iBrand loyalty  
According Aaker [1996], brand loyalty is the attachment to a brand/ brands consumers  
have. Brand loyalty was and is still vital dimension in CBBE model even though some concep-  
tualizations position brand loyalty as controversial elements and/or a consequence of brand equity,  
which consists of brand awareness and brand associations. The inclusion of brand loyalty as a  
part of brand equity allows marketers to justify giving it priority in the brand building budget  
[Aaker (2013]. Several long - term benefits could be gained such as the lower elasticity in price  
increase and higher one in price decrease, the greater support when brand extensions and co-  
branding, brand cooperation exist, the stronger defense against competitors’marketing activities  
[Keller (2003)]. Higher brand loyalty could create re-purchase decisions in the next times, and  
make the brand as a primary choice when consumers buy related goods and services; Brand loy-  
alty can facilitate favorable brand attitude and generate higher consumer’s purchase intention for  
hotel brands [Liu et al., (2017)]. Hence,  
H1: Brand loyalty has a positive effect on consumer’s purchase intention for hotel  
services.  
iPerceived Quality  
This is one element of the consumer’s brand equity, which is determined as “the con-  
sumer’s perception of overall quality or superiority of a product or service with respect to the  
product or service’s intended purpose and overall feeling about the brand” (Aaker [1996], Keller  
[2013]). Perceived quality is considered a “core/primary” facet across customer-based brand eq-  
uity frameworks and customer is likely to perceive the brand as offering superior quality will be-  
come more brand loyal [Kayaman R. & Arasli H. (2007)]. In his studies about service quality,  
Zeithaml [1998] indicates that there is a wide-speared trend in studying the relationship between  
service quality and purchase intentions but they are insufficient works linking purchase intentions  
to purchase behaviours. Considering his findings, Liu et al., (2017)] conceptualizes perceived  
quality as a brand’s value proposition that renders customers endogenous to value creation, and  
embraces a process orientation in the service encounter that has superiority over other hotel  
brands. Due to being associated with brand preferences protecting consumers from rivals’ en-  
ticement, greater perceived quality is an important advantage of businesses in their competition  
[Yoo B. & Donthu N. (2001)]. Hence,  
H2: Perceived quality has a positive effect on customer’s purchase intention for hotel  
services  
iBrand awareness  
The most popular element considered in consumer - based brand equity studies is brand  
awareness. Brand awareness is the consumer’s ability to recognize and recall a brand [Keller  
(1993)]. The creation of brand awareness is the first stage in building brand equity [Aaker (1991)].  
Customers will trigger a positive response if they have familiarity of a brand due to having a little  
information [Bill Xu J. & Chan A. (2010)]. Hence,  
H3: Brand awareness has a positive effect on consumer’s purchase intention for hotel  
services.  
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iPurchase intention  
Purchase intention is a customer plan to buy a specific brand. According to Chang et al.,  
[2008], in service branding, ‘purchase intention is the willingness to continue using the service  
provided by specific suppliers’. The purchase intention represents the possibility that consumers  
will plan to purchase a certain product or service in the future (Wu et al., 2011, cited in [Calvo-  
Porral & Lévy-Mangin J.-P. (2017)]. Regarding the approach of Aaker [1996, 1991], brand equity  
has a positive impact on the purchase intention of customers, and marketers are interested in un-  
derstanding consumer’s purchase intention, so that they are able to properly segment the market  
and as a source to their decision making [Ping (2014].  
2.2. Hotel branding  
Until now, there is few number of researches focusing on hotel branding, divided into  
two parts: branding through employees’s attitude and branding through customers’s perceptions.  
For the first part, the research showed that to deliver the brand promise, hotels need to emphasize  
the unique features of their service offering as reflected in the brand and their employees [King  
& Grace D. (2013)]; for the second part, when applying CBBE model, it is important to  
understand that:  
As Liu et al., [2017] wrote:  
“The different effect of each CBBE element on different consumer responses indicates that  
marketing efforts on each aspect of CBBE must vary. Managers should provide more accurate  
estimations of marketing efforts and organize information input in a more integrated manner to  
facilitate message processing and attitude accessibility, which result in increased behavior  
intention”  
As Kayaman and Arasli [2007] indicated:  
“Customer based brand equity is not only valuable tool for hotel practitioners but also for  
other service industry practitioners to evaluate their marketing efforts. Necessary feedback can  
be obtained from consumers for this evaluation will aid in: identifying service product related  
problems; identifying advertising/positioning problems; and also providing feedback to the  
employees on where improvements need to be made”  
As Bill Xu and Chan [2010] suggested:  
“... The input of experiential marketing program with emphasis on the socio-psychological  
needs into hotel brand equity management. In other words, hotel companies are able to positively  
impact brand equity by ensuring the fulfillment of guests’socio-psychological needs during their  
stays.”  
In conclusion, research on branding for hotels is still limited in quantity. This is an  
opportunity for the authors to continue research and to find theoretical frameworks and practices  
to help hotel managers improve overall service performance.  
3. Purpose, Question, and Hypothese of Research  
This research aims to understand and analyze the effect of each consumer - based brand  
equity on purchase intention. Therefore, it is going to focus on two questions:  
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Q1. These elements of consumer - based brand equity (Brand awareness, Brand loyalty  
and Perceived quality) have a negative or positive effect on consumer’s purchase intention?  
Q2. How is the impact of these elements on consumer’s purchase intention?  
And 3 hypotheses will be tested including:  
H1: Brand awareness has a positive effect on consumer’s purchase intention for hotel  
services  
H2: Brand loyalty has a positive effect on consumer’s purchase intention for hotel  
services  
H3: Perceived quality has a positive effect on consumer’s purchase intention for hotel  
services  
4. Methodology  
4.1. Kind of data  
This research used the primary data which was collected through questionnaires. We un-  
derstood clearly that questionnaires have its own advantages, for example the ease of distribution  
within geographical area; and drawbacks, for instance the limit of honesty in correspondents’an-  
swers. To keep under control, we designed our questionnaires with structured questions which  
are considered and investigated by some specialists in tourism service.  
4.2. Questionnaire design  
The purpose of this questionnaire is to collect consumer’s assignment about hotel services,  
which are to construct perceptual measurements of each dimension in consumer’s brand equity  
model.  
The questionnaire includes three parts. Part 1 consists of all observed variables of three di-  
mensions in CBBE model. In more details, Brand awareness has 3 variables, Brand Loyalty has  
4 variables, and Perceived Quality has 11 variables. Purchase intention as a dependent variable,  
which is observed through 3 variables. Part 2 is composed of respondent’s demographic charac-  
teristics. They are Age group, Gender, Occupation, Current living province. Part 3 is the part for  
interviewers with hotel’s general information. A total of 27 questions including 21 ones in part 1  
and 6 ones in part 2; on the other hand, 24 structured questions and 3 non - structured questions  
(See Table 1)  
Table 1. Core items of each dimension in designed questionnaire  
CBBE  
Items  
Original source  
elements  
Brand  
loyalty  
I will not stay at other hotels if this hotel is available.  
I will not stay at other hotels if this hotel is available.  
This hotel is my first choice compared to other hotels  
I would not switch to another hotel the next time.  
I consider myself to be loyal to this hotel  
Yoo et all  
(2001)  
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Brand  
I am aware of the hotel.  
Yoo et all  
awareness  
I can quickly recall the symbol or logo of the hotel.  
I can recognize the hotel among other competing brands.  
(2001)  
Perceived  
quality  
The staff treat you as a special and valued consumer.  
The hotel has up-to-date equipment.  
Kim and Kim  
(2005)  
The appearance of members (clean, neat, appropriately  
dressed).  
The hotel staff exhibits a good manner.  
The hotel provides its services at promised times.  
The hotel staff handles complaints of consumers effectively.  
The hotel staff actively communicates with consumers.  
Attractiveness of the hotel.  
The knowledge and confidence of the staff.  
The quality of food and beverages.  
The hotel staff anticipates your specific needs and serves  
you appropriately  
Purchase  
intention  
I will consider staying at this hotel.  
I am glad to stay at this hotel.  
Moon et al.,  
(2008)  
I am glad to recommend this hotel to others.  
Liu and Brock  
(2011)  
Source: Liu et al., 2017  
4.3. Data collection  
With the purpose of this study, the population is all tourists consuming hotel accommoda-  
tion services in Hanoi. However, in this study limited resources, the research team focused on  
three-star hotels in Hanoi. A list of three-star hotels was recorded on the Tourism Administration’s  
database of 37 hotels.  
The study uses a random combined with convenient sampling method. Accordingly, the  
random sampling method was used to select the hotels participating in the survey. A convenient  
method of selecting a respondent is a tourist who is using a hotel accommodation service. The  
sample size is based on the standards of the analysis method, this study uses an Exploratory  
Factor Analysis to test the validity of scale and a linear multiple regression with the least squares  
coefficient model to determine the level of each CBBE element’s impact on consumers’purchase  
intention. As a result, a sample size, which is calculated by 5 times the total of these observed  
variables, is 105 questionnaires [Hair (2010)].  
After calculating the sample size, the authors list all of three stars hotels in Hanoi and select  
hotels taking part into. Collaborators moved to these places and discussed to receptionists and  
reception managers about survey plans. The number of questionnaires distributed among all hotels  
participating in the survey.  
4.4. Data analysis  
The study used Cronbach’s Alpha to test the reliability of the scale, and the Explore factor  
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analysis to determine the validity of the scale. The validity of the scale consists of two parts: con-  
vergence and discriminant validity. Convergent validity explores whether or not observed vari-  
ables represent the variables to be studied. Discriminant validity indicates that the observation  
variable is sufficiently specific to represent the variable being studied.  
4.4.1. Cronbach’s Alpha coefficient  
Cronbach’s alpha coefficient ranges from 0.7 to 0.8, which is very good with a range of  
0.8 - 0.95, acceptable between 0.6 and 0.7. And if less than 0.6 are required to exclude from the  
study [Hoàng Trọng & Chu Nguyễn Mộng Ngọc (2011)]. If the value of Alpha> 0.95, then the  
difference in content on the scale for the observation variable, which means that the same measure  
of phenomena [Đinh Bá Hùng Anh & Tô Ngọc Hoàng Kim (2010), page.142]  
In order to be able to hold the observation variable, the result of the Cronbach’s Alpha  
coefficient of the component scale should satisfy both conditions: (1) the total variance greater  
than 0.3; (2) Cronbach’s Alpha if the variable is smaller than the current Cronbach’s Alpha.  
Based on the results of the analysis, the Cronbach’s Alpha coefficient table is  
expressed as:  
Table 2. Item-Total Statistics  
Scale Mean if Scale Variance Corrected Squared Mul- Cronbach’s  
Item Deleted  
if Item  
Deleted  
Item-Total tiple Correla- Alpha if Item  
Correlation  
tion  
Deleted  
Brand Awareness  
Cronbach’s Alpha = 0.87  
BA.Q1  
BA.Q2  
BA.Q3  
5.94  
5.98  
5.88  
3.785  
3.346  
3.700  
.708  
.835  
.714  
.549  
.698  
.560  
.855  
.737  
.850  
Perceived Quality  
Cronbach’s Alpha = 0.933  
PQ.Q8  
34.51  
34.43  
34.41  
34.28  
34.50  
34.60  
34.60  
34.63  
34.56  
34.48  
34.66  
54.923  
56.368  
57.188  
58.216  
56.156  
55.447  
55.859  
56.284  
56.340  
55.631  
57.532  
.764  
.699  
.682  
.708  
.733  
.725  
.736  
.677  
.705  
.772  
.733  
.654  
.623  
.646  
.652  
.696  
.700  
.656  
.564  
.618  
.699  
.645  
.925  
.928  
.928  
.928  
.926  
.926  
.926  
.929  
.927  
.924  
.926  
PQ.Q9  
PQ.Q10  
PQ.Q11  
PQ.Q12  
PQ.Q13  
PQ.Q14  
PQ.Q15  
PQ.Q16  
PQ.Q17  
PQ.Q18  
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Brand Loyalty  
Cronbach’s Alpha = 0.86  
BL.Q4  
BL.Q5  
BL.Q6  
BL.Q7  
10.00  
6.984  
6.255  
6.059  
7.435  
.705  
.753  
.744  
.635  
.549  
.599  
.561  
.436  
.823  
.801  
.807  
.849  
9.92  
9.92  
10.03  
Purchase Intention  
Cronbach’s Alpha = 0.882  
PI.Q19  
PI.Q20  
PI.Q21  
6.78  
3.277  
2.929  
2.945  
.726  
.782  
.808  
.530  
.629  
.658  
.872  
.823  
.800  
6.88  
6.74  
These tables figure out the high level of reliability. However, the high Cronbach’s Alpha  
coefficient is a signal for the duplication of the scale, or it may be assumed that the respondent  
thinks that many of the questions are of the same nature.  
4.4.2. Validity results  
The study used the extraction method Principal Components Analysis with the Varimax  
rotation technique. And these conditions to satisfy in factor analysis include: (1) factor loading  
values >0.5; (2) 0.5 <= KMO coefficient <= 1; (3) Bartlett’s Test <0.5; (4) Eigenvalues> = 1; (5)  
Percentage of variance> at least 50 percentages [Hair (2010)].  
Based on the results of the analysis, the results of the first EFA analysis of 3 independent  
variables with 21 observed variables and 1 dependent variable with 3 observed variables showed  
a violation of factor loading values. The elimination of variables conducted and applies the EFA  
analysis successively until the desired result is obtained. Accordingly, the final result shows that  
two factors were extracted, and each scale reach the coverngence and discriminant value.  
Table 3. Correlation Matrix  
BA.Q1 BA.Q2 PQ.Q8 PQ.Q9 PQ.Q10 PQ.Q11  
BA.Q1  
BA.Q2  
BA.Q3  
PQ.Q8  
PQ.Q9  
PQ.Q10  
PQ.Q11  
1.000  
.739  
.583  
.403  
.426  
.431  
.458  
.739  
1.000  
.747  
.484  
.384  
.402  
.492  
.583  
.747  
1.000  
.550  
.435  
.444  
.569  
.403  
.484  
.550  
1.000  
.629  
.493  
.501  
.426  
.384  
.435  
.629  
1.000  
.662  
.507  
.431  
.402  
.444  
.493  
.662  
1.000  
.681  
.458  
.492  
.569  
.501  
.507  
.681  
1.000  
Correlation  
Table 4. KMO and Bartlett’s Test  
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Kaiser-Meyer-Olkin Measure  
of Sampling Adequacy.  
.819  
Approx. Chi-Square  
df  
407.082  
21  
Bartlett’s Test of Sphericity  
Sig.  
.000  
Table 5. Total Variance Explained  
Initial Eigenvalues  
Extraction Sums of Squared Loadings  
Total  
% of  
Variance  
Cumulative  
%
Total  
% of  
Variance  
Cumulative %  
Component  
1
2
3
4
5
6
7
4.152  
1.016  
.597  
.496  
.305  
.243  
.190  
59.312  
14.520  
8.534  
7.080  
4.362  
3.476  
2.716  
59.312  
73.832  
82.366  
89.446  
93.808  
97.284  
100.000  
4.152  
1.016  
59.312  
14.520  
59.312  
73.832  
Table 6. Rotated Component Matrixa  
Component  
1
2
BA.Q1  
BA.Q2  
BA.Q3  
PQ.Q8  
PQ.Q9  
.823  
.911  
.792  
.690  
.849  
.852  
.705  
PQ.Q10  
PQ.Q11  
5. Findings  
In order to conduct hypotheses test, the multiple regression model is used to test and  
explain the causal - effect theory. In this study, linear multiple regression is the appropriate method  
for validating hypotheses. To test for three hypotheses, the multiple regression model was  
developed as follows:  
Y = β + β1 X + β X  
i 1i 2i 2i  
i
0
+ e  
i
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With: Y is consumer’s purchase intention; b , b are the normalization coefficient of  
i
1i 2i  
the regression equation and e is the random error with the normal distribution - the mean is zero  
i
- the independent and constant variance; b is the intercept.  
0
Correlation: Using Pearson correlation to examine the linear correlation between  
dependent and independent variables. This is one of the conditions required by the linear  
regression model. The Pearson’s correlation coefficient (r) values range from -1 to 1, and the  
significance of this correlation coefficient is statistically significant equal to P (P- <0.005, it can  
be concluded that there is a relationship between the dependent variable and the inverse / positive  
relationship depending on the direction - or + of r, the degree of correlation depends on the  
absolute value of r.  
The results shown in the below tables did not show the phenomenon of multi-collinearity  
as the results of the test Durbin - Watson du (1.72) <1,757 <2. Thus, it can be concluded that  
there is no multi-collinearity in the model. The following table shows the predicted results of the  
linear regression model with two independent variables as Brand awareness and Perceived  
Quality_2, and one dependent variable as the customer’s purchase intention  
Table 7. Model Summaryb  
Change Statistics  
Model  
Durbin-Watson  
df2  
102a  
Sig. F Change  
.000  
1
1.757  
Model Summaryb  
Change Statistics  
Adjusted R  
Square  
Std. Error  
Model  
1
R
R Square  
.659  
R Square F Change  
Change  
df1  
2
of the Estimate  
.812a  
.652  
.58987121  
.659  
98.448  
Table 8. ANOVAa  
df  
Sum of  
Squares  
Mean  
Square  
Model  
F
Sig.  
.000b  
1
Regression  
68.509  
35.491  
2
34.255  
.348  
98.448  
Residual  
Total  
102  
104  
104.000  
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Table 9. Coefficientsa  
Unstandardized Coeffi- Standardized  
t
Sig.  
Model  
cients  
Coefficients  
B
Std. Error  
.058  
Beta  
.000  
9.965  
9.879  
1.000  
.000  
.000  
1
(Constant)  
Perceived Quality_2  
1.604E-016  
.576  
Brand  
Awareness  
.571  
.576  
.571  
.058  
From the above results, some of the statements are given as follows:  
Firstly, this model was statistically significant at p <0.001 with a value of F = 98.448  
with a statistically significant level of p <0.001 indicating that the multiple regression model was  
constructed as consistent with the data be collected.  
Secondly, the Adjusted R Square coefficient indicates that the model’s accuracy is 65.2%.  
In other words, about 65.2% of the variance of the intention to buy is explained by two  
independent variables including Brand Awareness and Perceived Quality_2.  
Thirdly, Standardized Coefficients betas were 0.571 and 0.576, with p <0.05 indicating  
that this was a good predictor of consumer’s purchase intention. It also shows that Brand  
awareness and perceived quality play a similar role in the purchase intention of the travelers.  
Foully, based on the above analysis results show that the acceptance of H1 and H3  
hypothesis while, for H2 hypothesis, there is insufficient data to confirm whether or not there is  
an influence of brand loyalty on the hotel brand of tourists.  
Finally, Resutls of data collection for tourists show that brand awareness is very important  
to hotel’s customers. Because this is the only element of CBBE that all observed variables are  
retained in the data analysis model. In addition, for perceived quality, the comments about staff  
and equipment of the hotel are much more than others. In particular, there are three of which  
referring to the hotel staff in the total of four observed variables retained.  
Consumer’s Purchase Intention = 0.576 * Brand Awareness + 0.571 Perceived Quality 2  
6. Conclusions  
Based on the CBBE model developed by Aaker [1991], this study shows the relationship  
between CBBE and consumer’s purchase intention. The results contribute to the development of  
a brand equity theory and an understanding of the theory’s underlying mechanism but also provide  
valuable managerial and practical implications for local branding strategies and marketing com-  
munication and practices.  
This study analyzes direct effects of CBBE elements on purchase intention for hotel  
brands. Therefore, it provides evidence of CBBE’s importance in influencing customer responses  
for hotel brands. Moreover, results suggest that hospitality service providers can generate positive  
customer responses by improving brand equity through different initiatives. Offering consumers  
integrated information about a brand from different aspects can enhance their behavioral intentions.  
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This study considers an emerging market in a local hotel setting, especially with 3 - stars  
hotels. Results provide practical guidelines for managers and marketers in the local hotel industry  
to balance their resources and efforts in marketing activities to improve marketing effectiveness.  
The role of brand equity could help managers understand brand equity’s role in consumers’eval-  
uation and decision-making processes. The different effect of each CBBE element on different  
consumer responses indicates that marketing efforts on each aspect of CBBE must vary. Managers  
should provide more accurate estimations of marketing efforts and organize information input in  
a more integrated manner to facilitate message processing and attitude accessibility, which result  
in increased behavior intention.  
7. Limitation  
This study has several limitations. First of all, some previous researches indicated that  
there has had a relationship between brand equity elements, which we did not test within our  
model research. Secondly, the random and convenience sampling method suffers from common  
methods bias (CMB) and nonresponse bias. Thirdly, this study is restricted to the 3 - stars hotels  
of one geographic area. Future studies can replicate this study in a different area with various  
service brands to determine generalizability. Finally, the sample of respondents is composed of  
tourists and business travelers, but this research did not examine whether a significant difference  
exists in CBBE among demographic variables, among repeat and first-time guests... Future studies  
can investigate the relationship between CBBE model and various consumer groups.  
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Free Pressꢀ; Maxwell Macmillan Canadaꢀ; Maxwell Macmillan International, New Yorkꢀ:  
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Appendix  
Appendix A - List of 3 - stars hotels in Hanoi  
Hotels  
Lake side Hotel  
Paradise  
District (in Hanoi)  
Ba Dinh  
Number of Rooms Year of certification  
78  
62  
61  
55  
50  
115  
51  
58  
56  
50  
60  
66  
54  
125  
60  
50  
50  
52  
64  
1997  
2010  
2011  
2012  
2013  
2013  
2014  
2014  
2014  
2014  
2014  
2014  
2014  
2014  
2014  
2014  
2014  
2014  
2014  
Ba Dinh  
Thang Long Opera  
Golden Silk Boutique  
Khan quang do  
Lan Vien  
Hoan Kiem  
Hoan Kiem  
Ba Dinh  
Hoan Kiem  
Ba Dinh  
Danly  
Royal Gate  
Ba Dinh  
Cau Giay  
Cau Giay  
Sen  
Cau Giay  
Sen 2  
Cau Giay  
Hanoi La Rosa  
A 25 ASEAN  
Cong doan Viet Nam  
Hanoi Pearl  
Golden Cyclo  
Sen Vang  
Dong Da  
Dong Da  
Hai Ba Trung  
Hoan Kiem  
Hoan Kiem  
Hoan Kiem  
Hoan Kiem  
Hoan Kiem  
Authentic Hanoi  
Medallion Hanoi  
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Cong doan Quang Ba  
Hoa Nam  
Tay Ho  
Ung Hoa  
2014  
2014  
2015  
2015  
2015  
2015  
2015  
2015  
2015  
2015  
2015  
2016  
2016  
2016  
2016  
2017  
2017  
2017  
55  
73  
50  
57  
56  
52  
50  
100  
50  
88  
60  
35  
53  
50  
85  
62  
50  
Riverside Hanoi  
Minh Cuong  
Eastin Easy GTC  
Eden  
Cau Giay  
Dong Anh  
Dong Da  
Hai Ba Trung  
Hoan Kiem  
Hoan Kiem  
Hoan Kiem  
Hoan Kiem  
Hoan Kiem  
Ba Vi  
Ladolce Vita  
Super Hanoi Old Quarter  
Mecure Hanoi La Gare  
Boss Legend  
Hoa Binh  
Tan Da  
Hancio  
Asia  
La Siesta  
Dong Da  
Hai Ba Trung  
Hoan Kiem  
Ba Dinh  
Cau Giay  
Dong Da  
Kuratake Inn  
My Way  
Sao Mai  
Source: Vietnam Tourism ( http://vietnamtourism.gov.vn/index.php/cat/97)  
Appendix C - Descriptive statistics  
BA. BA. BA. BL. BL. BL. BL. PQ. PQ. PQ. PQ. PQ. PQ. PQ. PQ. PQ. PQ. PQ. PI. PI. PI.  
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21  
mode  
2
3
3
3
3
3
3
3
3
3
4
3
3
3
4
4
4
4
3
4
4
4
3
3
3
3
3
3
3
3
3
3
4
4
3
3
4
3
3
3
3
3
median  
mean  
3.0 2.9 3.0 3.3 3.4 3.4 3.3 3.5 3.5 3.6 3.7 3.5 3.4 3.4 3.3 3.4 3.5 3.3 3.4 3.3 3.5  
1.0 1.0 1.0 0.9 1.1 1.1 0.9 1.0 1.0 0.9 0.8 1.0 1.0 1.0 1.0 1.0 1.0 0.9 0.9 1.0 0.9  
Standard  
deviation  
min  
1
5
1
5
1
5
1
5
1
5
1
5
1
5
1
5
1
5
1
5
2
5
1
5
1
5
1
5
1
5
1
5
1
5
1
5
1
5
1
5
1
5
max  
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Appendix B - Characteristics of the Respondents  
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