Research results have shown that, marketing competitiveness of the electronics retail supermarkets in Hanoi markets have many strengths and certain advantages,
such as professional customer care, business premises,
extensive distribution systems, brand reputation .
However, the supermarket business is still spontaneous,
customer service is still limited and the quality of human
resources is not high here are some major limitations on
the marketing competitiveness of the electronies home
appliance supermarket in Hanoi market
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Vu Thanh Tu ANH - Fulbright University in Vietnam, USA
Le Xuan BA - Centural Institude for Economic Managerment, Vietnam
Hervé B. BOISMERY - University of La Reuinion, France
H. Eric BOUTIN - Toulon Var University, France
Nguyen Thi DOAN - Vietnam Learning Promotion Association, Vietnam
Haasis HANS - Dietrich - Institute of Shipping Economics and Logistics (isl) Bremen - Germany
Le Quoc HOI - National Economic University, Vietnam
Nguyen Thi Bich LOAN - Thuong mai University, Vietnam
Nguyen Hoang LONG - Thuong mai University, Vietnam
Nguyen MAI - Vietnam Economist Association, Vietnam
Duong Thi Binh MINH - University of Economics HoChiMinh City, Vietnam
Hee Cheon MOON - Korean Trade Research Association, South Korea
Bui Xuan NHAN - Thuong mai University, Vietnam
Luong Xuan QUY - Vietnam Economicst Association, Vietnam
Nguyen Van Song - Vietnam National University of Agriculture
Nguyen TAM - California State University, USA
Truong Ba THANH - University of Danang, Vietnam
Dinh Van THANH - Institude for Trade Research, Vietnam
Do Minh THANH - Thuong mai University, Vietnam
Le Dinh THANG - University of Québec à Trois Riviéres, Canada
Tran Dinh THIEN - Vietnam Institute of Economics, Vietnam
Nguyen Quang THUAN - Vietnam Academy of Social Sciences, Vietnam
Le Nhu TUYEN - Grenoble École de Managment, France
Washio TOMOHARU - Kwansei Gakuin University, Japan
Zhang YUJIE - Tsinghua University, China
THE Members
Editor in chief
NGUYEN BACH KHOA
Deputy Editor in Chief
SECTRETARY OF EDITORIAL OFFICE
PHAM MINH DAT
Editorial SCIENTIFIC COUNCIL
Dinh Van SON - Thuong mai University, Vietnam - President
Pham Vu LUAN - Thuong mai University, Vietnam - Vice President
Nguyen Bach KHOA - Thuong mai University, Vietnam - Deputy President
1. Theoretical basis and some concepts
1.1. Retail supermarket and home appliance retail
supermarket
Retail supermarket:
In general, commercial business establishments are
called supermarkets where business locations suitable
for development planning commercial network of
provincie, city and the size the level of organization
business meeting applications are the basic standards
of one of the three classes according to classification
rules (Decision No 1371/2004/QD-BTM dated
24/09/2004) below:
Supermarket Class I: Applied to the general busi-
ness synthesis supermarket: There area from 5000 m2
or more; a list of 20,000 items of goods or more; There
are buildings to ensure safety, aesthetic and fully func-
tional fire protection, sanitation ...; There are
advanced, modern storage systems and storage facili-
ties, processing, packaging, sales, billing and business
management.
Applied with specialized supermarkets: Standard
area from 1000 m2 or more, other ctive criteria are the
same as general trading stores.
Supermarket Class II: Applied to general super-
marke business: There is area from 2000 m2 or more;
a list of 10,000 items of goods or more; There are
buildings to ensure safety, aesthetic and fully function-
al fire protection, sanitation...; There are advanced,
modern storage systems and storage facilities, process-
ing, packaging, sales, billing and business manage-
ment.
Applied to the specialized supermarkets: Standard
area of 500 m2 or more, the standard list of commodi-
ties from 1000, other criteria are the same as general
trading stores.
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Cao Tuan Khanh
Thuongmai University
Caotuankhanh2000@yahoo.com
Keywords: Supermarket, home appliance supermarket, Hanoi
upermarkets - a type of modern shops which either sell general goods or specializes in some kinds;
have a wide variety of products with high quality guarantee; meet criteria on business areas, tech-
nical equipment, management and business organization; have good and convenient serving modes to satisfy
customer shopping demand - have become a common trend in Vietnam's retail sector in recent time. Especially
with the trend of modern technology development, electronics supermarkets have become a fast-growing retail
business in big cities. The combination between specialized retailing and self-servicesof supermarkets has
brought electronics supermarkets many marketing competitive advantages. However in recent time, electron-
ics supermarkets have revealed some limitations in their competitiveness in general and marketing competi-
tiveness in particular such as they have not yet positioned the supply value of market offering, the efficiency
of integrating mix retailing and marketing tools remains low, core marketing competencies have not been
established and raised, the identities of supermarket-like distribution services are inadequate in terms of cus-
tomers-based value and quality.
Received: 5th December 2016 Revised: 15th December 2016
Supermarket Class 3: Applied to general business
supermarket: There is an area of 500 m2 or more; a list
of 4,000 items of goods or more; There are buildings to
ensure safety, aesthetic and fully functional fire pro-
tection, sanitation...; There are advanced, modern stor-
age systems and storage facilities, processing, packag-
ing, sales, billing and business management.
Applied to the specialized supermarkets: Standard
area of 250 m2 or more, the standard list of 500 items
of goods or more, other criteria are the same as gener-
al trading stores.
Home appliance retail supermarket
Home appliance retail Supermarket are model of
specific retail trading of goods of the same nature relat-
ing to machinery, electronics, may include items such
as refrigerators, washing machines, air conditioners,
kitchen electric ... goods can be of many different ven-
dors in the same direction but to a specific market seg-
ment, and a group of certain customers. The business
of providing electrical services to meet the needs of
customers such as electrical distribution, credit, cus-
tomer service, mail order, computer... The appliance
retail supermarket are capable of maintaining ad pres-
ence at high levels by focusing the budget for advertis-
ing and sales promotion effectively to the group of tar-
get customer segments.
1.2. The concept of marketing competitiveness of
home appliance supermarket
In business and marketing activities of the electric
retail business, marketing capability is one of the factors
critical to the success and effectiveness of marketing
activities. Enterprises must mobilize, organize, use and
allocate marketing resources to continuously improve
marketing capabilities (Nguyen Bach Khoa, 2004). It is
understandable that, the ability to grasp the market
demand, the ability to implement policies marketing -
mix (Product, Place, Prize, and Promotion) in marketing,
human resources capacity of marketing is marketing
capacity the electronics retailer. More specifically, these
factors creating a competitive advantage for businesses
that are gathered, used for the purpose of creating and
developing the competitiveness of businesses in the mar-
ket are considered marketing competitiveness of the
enterprise. However, to win in the competition, it
requires executives in the retail supermarkets to research,
analyze, evaluate and accurately determine the competi-
tiveness of their marketing.
Marketing competitiveness of electronics retail
business is its ability to combine the resources of the
business marketing and the ability to promote the use
of these resources effectively in the market to meet
customer demand and the electronics retail business. In
terms of competition theory, marketing competitive-
ness is an important resource of the enterprise to create
overall competitiveness for the electronics retail busi-
ness because it creates added value for clients using the
electric products and creates clear differentiation in
relation to competitors. The assessment of the compet-
itiveness of marketing is done by analysing how mar-
keting activities are managed in an enterprise and
effectiveness of marketing activities in the target mar-
ket of electronics retail businesses.
2. Model and theoretical measurement for mar-
keting competitiveness of home appliance super-
market
As analyzed above, the competitiveness of the
enterprise marketing electronics retailer can be meas-
ured and evaluated in detail through the evaluation of
the marketing competitiveness as the capacity of the
core marketing, energy differences in marketing and
mobile marketing capabilities. Derived from the theo-
ry of resources in relation to performance and sustain-
able competitive advantage of enterprises, Barney
(1991) and Grant (1991) proved the elements of the
enterprise resource have positive impacts on the com-
petitive advantage of enterprises. Competitive advan-
tages of the enterprisea are made up of many factors
such as resources, entrepreneurship and conducting
business and production activities of the enterprise,
including marketing activities and use of resources
plays a marketing important role. To improve and
develop sustainable competitiveness of enterprises, in
terms of mobilizing perspective, cooperation, accumu-
lation and effective use of marketing resources are an
indispensable requirement in the company's marketing
strategy industry. In this section, the authors propose a
research model to neseares the impact of the competi-
tiveness of the marketing component on overall mar-
keting competitiveness of electronics businesses.
For electronics retail business, precisely identify-
ing the core marketing capabilities is decisive to suc-
cess in business and development of competitive
advantage of enterprises. As the characteristics of the
retail business with various electronics products rang-
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ing from many different suppliers to meet a variety of
customer groups ranging vast market size... enterprises
need to have a good resource to meet the requirements
of development. However, due to resource limitations
and to ensure business efficiency, electronics retailers
need to determine exactly the right market segment
through the resources in market research activities of
enterprises. It allows businesses to achieve marketing
objectives and enhance the efficiency of enterprise
marketing activities. Besides, whether, the enterprise
marketing activities have achieved the desired results
or not depends heavily on information systems and
marketing activities as well as its governance capacity
to organize marketing activities, cultural construction
in business marketing. A lot of theoretical and experi-
mental work has shown that the suitable market
research, development and implement ation of the
marketing mix policy will enable businesses to achieve
their marketing objectives, thereby overall competi-
tiveness for marketing competitivenen of the enter-
proses. With these analysis, the authors propose the
hypothesis 1 of the research:
Hypothesis 1: Core marketing capabilities have a
proportional positive impact, on the marketing mix
competitiveness of the electronics stores
Differentions in business operations always achieve
sustainable competitive advantage. In the marketing of
electronics retail businesses, the differentiatons in the
product policy provides customers such as accurate
decisions portfolio electronics products which can now
strong suppliers, the business experience or meet new
customer needs will allow businesses to achieve their
marketing objectives. Moreover, on the basis of select-
ing the right type of product portfolio, making appro-
priate price policy will be crucial to customers who pur-
chase the enterprise products, helping enterprises
achieve business goals . The marketing management
studies have also demonstrated that the difference in the
operation of distribution and marketing activities relat-
ed to traditional promotional, advertising, direct sales
activities and the successful implementation of other
marketing functions will allow businesses to meet the
needs of customers, it allows businesses to successful-
ly implement its business strategy. Stemming from the
above analysis, we can see that, when enterprises build
and implement marketing mix policy - in the direction
of creating differentiation in comparison with the rest
of the market, they will accomplish marketing objec-
tives and gain competitive advantage. So the authors
propose research hypothesis 2:
Hypothesis 2: Different Marketing capacities have
proportional positive impact on the marketing mix
competitiveness of the electronics stores
Heory of enterprise resource has proven that, the
ability to integrate, build and organize internal resources
allows businesses to react quickly to the changing busi-
ness environment. The goal of marketing is to help busi-
nesses improve their competitiveness and increase busi-
ness scale, increase business results and performance.
But those goals are always influenced by positive and
negative business environment, which requires enter-
prises to be able to react flexibly, particularly in the
implementation of the marketing policy. Studies have
shown that cognitive ability in marketing allows busi-
nesses to effectively apply the new knowledge in mar-
keting, and improved marketing strategies to suit the
environment. Meanwhile, the adaptability helps busi-
nesses to adapt quickly to changes of competitiors in
marketing. Also integrated marketing capabilities allow
businesses to effectively combine marketing resources,
thereby improving the marketing activities of the busi-
ness... so it can be concluded that mobile marketing
capabilities enable marketers increase the general com-
petitiveness of the business.
Hypothesis 3: Dynamic marketing capabilities
have a proportional positive impact on the marketing
mix competitiveness of the electronics stores.
On the basis of the arguments and assumptions pre-
sented above, the research model was constructed as
follows:
2.2. Tools to test research hypotheses and models
To test theoretical scales as well as research
hypotheses and models, the following tools are often
used in research:
Testing the reliability of measurement scales
- Testing the reliability of Cronbach's alpha: is
used to remove fraud variables before analysis factors.
The reliability of variables in the measure scales of
service quality in Hanoi electronic retail supermarkets
is tested based on Cronbach's Alpha testing coeffi-
cients of measurement elements and Cronbach's Alpha
coefficient of measurement variables. Variables with
corrected item total correlation lower than 0.3 are
removed. A measurement scale is said to have good
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reliability when it ranges in [0.70 - 0.80]. If Cronbach
alpha is higher than or as high as 0.60, that measure-
ment scale is said to have acceptable reliability.
- Testing via EFA: belongs to the analysis group of
interdependence techniques, which means there is no
dependent and independent variable but it is based on
the interrelationships between variables. EFA can be
used to reduce a k set of measured variables to an F set
of more significant factors (F<k). The basis for this
reduction is the linear relationships between factors
and measured variables. The number of basis con-
structs depends on the research model, in which they
bind with each other by rotating the vectors so as to
avoid interrelations.
- Testing via CFA (Confirmatory Factor Analysis):
Confirmatory Factor Analysis is one of the statistic
techniques of the Structural Equation Model (SEM).
CFA enables us to test how well measured variables
can represent constructs. CFA is the following step of
EFA as CFA is only appropriate for use when
researchers have certain knowledge of the hidden
structure, in which the relations or hypotheses (from
theories or reality) between measured variables and
basis constructs are taken for granted by researchers
before statistics testing is conducted. CFA method is
used to confirm the uni-variable, multi-variable, con-
vergent validity and determinant validity of measure-
ment scales to evaluate marketing competitiveness of
Hanoi-based electronics retail supermarkets.
- Testing estimates via Boostrap method: the last
model as well as other appropriate models need to have
sets of data independent of each other, or the initial
sampling size must be quite large. In quantitative
research method conducted via sampling, samples are
often divided into two sub-groups. The first group is
used to estimate model
parameters and the sec-
ond group is used for
re-evaluation: the first
sub-group is used for
exploration and the sec-
ond sub-group is used
for cross validation.
Cross-Validation Index
measures the distance
between appropriate
Covariance matrix in
the first sub sample and Covariance matrix of the sam-
ple. The minimal CVI enables the expectation of stably
repeating samples. Another way is to repeat research
by another sample. These above-mentioned methods
are not practical because the structural model analysis
method often requires large sample, so it takes time
and money. In these cases, Boostrap is an ideal alter-
native. Boostrap is the method of taking alternative
sample, of which the initial sample acts as population.
Boostrap method is conducted with the repeated sam-
ple of N times. Estimates from N samples are used to
calculate means value and this value tends to be prox-
imate to the estimates of the population. The smaller
the differences between means values estimated by
Boostrap and estimated by initial sample, the more
reliable conclusions about model estimates.
Regression analysis
The research uses linear regression analysis to ana-
lyze the relations between constructs of marketing com-
petitiveness of Hanoi electronics retail supermarket. On
the basis of theories, a multi regression model with 15
independent variables is constructed as follows:
Y = a0 + a1x1 + a2x2+ .... + a15x15 +
In which:
Y represents the success levels of international
projects in Vietnam
x1 to x15 represent constructs of marketing com-
petitiveness of Hanoi electronics retail supermarket.
: standard errors.
3. Scale test results, theoretical models of com-
petitiveness of marketing electronics retail super-
markets Hanoi market
To test and evaluate the scale of the data collected.
all data collected will be processed with the help of
SPSS 20.0 software. First the data are encrypted,
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Figure 1: Research model
Core marketing capability
Unique marketing capability
Dynamic Marketing Capacity
Overall
marketing
capability
H1
H2
H3
cleaned, then analyzed with the main section: Evaluate
reliability (Cronbach reliability coefficient through
Alpha) and the value (factor loading) by (Exploratory
Factor Analysis).
3.1. Cronbach'Alpha and Bartlett's Test
Accreditation reliability Cronbach's alpha scale
and Bartlett's Test is used to remove garbage before
proceeding variable factor analysis. Test the reliability
of the variables in the scale competitiveness marketing
of electronics stores in Hanoi based on coefficient test
Cronbach's Alpha and Bartlett's Test of components
scale and the index of each variable measure. The ana-
lytical results are shown in the following table (details
in appendix):
Results of reliability analysis showed that
Cronbach's Alpha of all scales are greater than 0.7.
Only Cronbach's alpha coefficient of competitiveness
measurable physical evidence is 0686
0.6 according to the rules and standards of statistics, it
can be acceptable. Meanwhile, the total variable corre-
lation coefficients of the variables were observed in the
larger scale of 0.4, the lowest of the scale is the 0409
competitiveness material. When considering the case
of removal of each variable scale observation showed
no change when removed can cause the scale
Cronbach's Alpha Cronbach's Alpha greater than that
of the scale. So, all the observed variables are accept-
ed and will be used in subsequent factor analysis.
3.2. EFA Test
With the analytical results
through the expertise
Cronbach's Alpha above, all 22
items of Competitiveness mar-
keting core, 24 items of com-
petitive marketing tactics, 04
items for competitiveness mar-
keting and 03 items for the
competitiveness of the enter-
prise marketing mix electronics
retailers reach the reliability
and the items are used to con-
duct factor analysis (EFA) by
the method of rotation
(Varimax with Kaiser
Normalization ). Technical
analysis of factors (factor
analysis) were used in this
study for reducing and collect-
ing elements observed vari-
ables that into a more meaning-
ful factor, less in quantity for
use in distribution next regres-
sion
Through analysis results
following table saw, with each
variable observed in each line
displayed a Factor largest load-
ing... The results indicate that
the item Q81 has the smallest
index analysis and by 0629>
0.5 (standard for with a loading
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Table 1: Independent variable scale test
No. Indicators
Cronbach’s
Alpha
KMO Bartlett’s
Test
I Core marketing capability P < 0,00
1 Strategic marketing management 0.781 0.69 P < 0,00
2 Unique differentiation management
capability
0.844 0.706 P < 0,00
3 Productivity and quality management
capability
0.893 0.722 P < 0,00
4 Marketing information management
capability
0.902 0.711 P < 0,00
5 Brand management capability 0.860 0.726 P < 0,00
6 Organization and human resource for
marketing
0.851 0.718 P < 0,00
7 Culture value creation marketing capabiltiy 0.847 0.732 P < 0,00
II Strategic marketing capability P < 0,00
1 Product development competitiveness 0.881 0.7 P < 0,00
2 Price competitiveness 0.917 0.728 P < 0,00
3 Distribution channel development
compatitiveness
0.945 0.703 P < 0,00
4 Trade promotion competitiveness 0.935 0.741 P < 0,00
5 Human resource competitiveness 0.817 0.741 P < 0,00
6 Physical evidence competitiveness 0.686 0.726 P < 0,00
7 Process performance competitiveness 0.857 0.735 P < 0,00
III Dynamic marketing competitiveness 0.863 0.771 P < 0,00
IV Overall marketing competitiveness 0.87 0.708 P < 0,00
biggest Factor ?0.5). The analytical results also indi-
cated there are 15 variables (factors) with a total vari-
ance extracted = 79.45% and the coefficient of KMO =
0744, shows the relevance of the analysis of the fac-
tors. With test results Bartlett (Sig. <0.05), suggesting
that the variables are cor-
related in general.
According to these
results, lets move on to
the next step is to con-
duct testing CFA for each
variable.
3.3. CFA test and
multi-regression
Results show that
CFA observations vari-
ables were standardized
reaes allowed standerd (>
= 0.5) and a statistically
significant p-values are
by 0.000 (the lowest
weight management
capability variable mar-
keting strategy .699) .
Thus, we can conclude
the observed variables
used to measure 15 com-
ponents of the scale mar-
keting competitiveness
of the electronics retail
business in Hanoi
achieve convergence
value. Detailed results
analysis regression
model are shown in the
following Table:
From the results of
the regression analysis
above, the author ana-
lyzes the impact of ele-
ments marketing compet-
itives on marketing com-
petitiveness as follows:
First, strategic mar-
keting capality: Results
in Table regression
analysis showed that the
capacity strategic mar-
keting management has a significant impact and posi-
tive management capability integrated marketing of
electronics retailers in Hanoi on value B = 0.117
reached 95% reliability level (sig. = 0.018).
Second, Unique differentiation management capability:
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Table 2: Regression result
Independent variable
Coeff.
T Sig
Multicolinearity
(VIF) B Std.err
(Coeff) 0.000 0.047 0.000 1.000
Strategic marketing
capality
0.117* 0.049 2.380 0.018 1.091
Unique differentiation
management capability
0.337*** 0.059 5.742 0.000 1.558
Productivity and quality
management capability
0.052 0.057 0.911 0.364 1.486
Marketing information
management capability
0.209** 0.064 3.284 0.001 1.833
Brand management capability 0.069 0.051 1.341 0.182 1.191
Organization and human
resource for marketing
0.168** 0.052 3.261 0.001 1.210
Culture value creation
marketing capabiltiy
0.010 0.056 0.170 0.865 1.427
Product development
competitiveness
-0.031 0.051 -0.609 0.543 1.177
Price competitiveness 0.052 0.056 0.928 0.354 1.403
Distribution channel
development compatitiveness
-0.099 0.051 -1.956 0.052 1.160
Trade promotion
competitiveness
0.164** 0.057 2.896 0.004 1.450
Human resource
competitiveness
-0.066 0.052 -1.276 0.204 1.214
Physical evidence
competitiveness
-0.008 0.050 -0.163 0.870 1.122
Process performance
competitiveness
-0.004 0.052 -0.070 0.944 1.232
Dynamic marketing
competitiveness
0.181** 0.060 3.002 0.003 1.654
R = 0.774 R Square = 0.599
Adjusted R Square = 0.566
F = 18.114 p = 0.000
* significant at 5%
** significant at 1%
*** significant at 0,1%
Results in Table regression analysis showed that marketing
management capacities difference significant impact and
positive management capability integrated marketing of
electronics retailers in Hanoi on value B = 0.337 reached
99% reliability level (sig. = 0.000).
Third, Marketing information manage-
ment capability: Results in Table regression
analysis showed that information manage-
ment capabilities have a significant impact
marketing and positive management capa-
bility integrated marketing of electronics
retailers in Hanoi on value B = 0, 209
reached 99% reliability level (sig. = 0.000).
Fourth, organization and human
resource for marketing: Results in Table
regression analysis shows that institutional
capacity and human resources have a sig-
nificant impact marketing and positive
management capability integrated market-
ing of electronics retailers in Hanoi on
prices B = 0.168 value reached 99% relia-
bility level (sig. = 0.000).
Fifth, distribution channel development
compatitiveness: Results of regression analy-
sis capacity Table above shows the distribu-
tion channel strategy has a significant impact,
but in the opposite direction to the manage-
ment capacity of the marketing mix of retail
businesses in the locality Electric Hanoi value B = -0099
achieve 95% reliability level (sig. = 0.000). It was
explained that the capacity of the system increases, the
channel marketing capabilities will be reduced by the
increase in the scale, scope and density distribution chan-
nels.
Six, trade promotion competitiveness: Results in
Table regression analysis showed that competitive
capacity of trade promotion has a significant impact,
but in the opposite direction to the management capac-
ity of the marketing mix of retail businesses in Ha
Electric Inner worth B = 0164 reached 95% reliability
level (sig. = 0.000).
Seven, dynamic marketing capability: Results in
Table regression analysis showed that mobile market-
ing competitiveness has a significant impact, but in
the opposite direction to the management capacity of
the marketing mix electronics retailers in Hanoi on
prices B = 0181 value reached 99% confidence level
(sig. = 0.000).
3.4. Tests by multi group analysis
In this study, the analysis of the group will be
applied to the factors like uptime, type of business, size
of business according to the number of employees and
the total average annual funding under the group's
average 3 , good very good. The results are shown in
the following Table:
Results analysis shows, all the data observed in the
analysis are valid. With results calculated from this
table, the coefficient Wilks 'Lambda of 1 through 2 is
0917 and the value of P is less than the level of signif-
icance of 5%, while the coefficient Wilks' Lambda of
0965 function 2 is also the price P value less than 5%
significance level. So we can conclude meaningful dif-
ferentiation of 5%.
As a result, we see years of operation variables is
the most important predictor variables used to distin-
guish the two groups marketing competitiveness, fol-
lowed by variables and variable types of enterprise-
scale business under the secondary capital per year.
Assessment results form discriminant test shows
classification results based on the sample analysis. The
rate is 72.7% correct distinction, this ratio allows con-
clusions to distinguish this model is pretty good.
4. Conclusion
Research results have shown that, marketing compet-
itiveness of the electronics retail supermarkets in Hanoi
markets have many strengths and certain advantages,
such as professional customer care, business premises,
extensive distribution systems, brand reputation ...
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Table 3: Multi group analysis ressult
Wilks’ Lambda
Test of Function(s) Wilks’ Lambda Chi-square df Sig.
1 through 2 0,917 16,773 8 ,033
2 0,965 6,920 3 ,074
Classification Resultsa,c
Overall Marketing Catergories
Predicted Group
Membership
Total 3.00 4.00 5.00
Original Count 3 0 0 25 25
4 0 0 29 29
5 0 0 144 144
% 3 0,0 0,0 100,0 100,0
4 0,0 0,0 100,0 100,0
5 0,0 0,0 100,0 100,0
Cross-validatedb Count 3 0 0 25 25
4 0 0 29 29
5 0 0 144 144
% 3 0,0 0,0 100,0 100,0
4 0,0 0,0 100,0 100,0
5 0,0 0,0 100,0 100,0
However, the supermarket business is still spontaneous,
customer service is still limited and the quality of human
resources is not high here are some major limitations on
the marketing competitiveness of the electronies home
appliance supermarket in Hanoi market.
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Free Press, New York.
7. Cuïc Thoáng keâ Thaønh phoá Haø Noäi (2015), Thoáng
keâ Nieân giaùm thoáng keâ Haø Noäi, NXB Thoáng keâ.
Summary
Sieâu thò - loaïi hình cöûa haøng hieän ñaïi, kinh doanh
toång hôïp hoaëc chuyeân doanh, coù cô caáu chuûng loaïi
haøng hoùa phong phuù, ña daïng, ñaûm baûo chaát löôïng,
ñaùp öùng caùc tieâu chuaån veà dieän tích kinh doanh,
trang bò kyõ thuaät vaø trình ñoä quaûn lyù, toå chöùc kinh
doanh. Coù caùc phöông thöùc phuïc vuï vaên minh, thuaän
tieän nhaèm thoûa maõn nhu caàu mua saém haøng hoùa cuûa
khaùch haøng - moät trong nhöõng xu höôùng tieán boä trong
thöông maïi baùn leû nöôùc ta thôøi gian qua. Ñaëc bieät vôùi
xu höôùng phaùt trieån hieän ñaïi theo höôùng coâng ngheä
thì caùc sieâu thò ñieän maùy trôû thaønh moät ngaønh kinh
doanh baùn leû raát phaùt trieån thôøi gian qua ôû caùc ñoâ thò
lôùn. Ñaây vöøa laø söï keát hôïp giöõa hình thöùc baùn leû
chuyeân doanh vôùi coâng ngheä baùn leû töï phuïc vuï kieåu
sieâu thò ñaõ mang laïi nhieàu lôïi theá caïnh tranh market-
ing cho loaïi hình naøy. Tuy nhieân, thôøi gian qua cuõng
ñaõ boäc loä nhöõng maët haïn cheá naêng löïc caïnh tranh noùi
chung vaø caïnh tranh marketing noùi rieâng nhö ñònh vò
giaù trò cung öùng cuûa chaøo haøng thò tröôøng, hieäu naêng
phoái thöùc baùn leû hoãn hôïp cuõng nhö caùc coâng cuï mar-
keting ñöôïc vaän duïng, caùc naêng löïc marketing coát loõi
coøn chöa ñöôïc xaùc laäp vaø taäp trung naâng cao, baûn saéc
dòch vuï phaân phoái kieåu sieâu thò coøn nhieàu maët baát
caäp caû veà giaù trò vaø chaát löôïng döïa treân khaùch haøng.
37
journal of Trade Science
JOURNAL
OF TRADE SCIENCE
’S JTS
CAO TUAN KHANH
1. Personal Profile:
- Name: Cao Tuan Khanh
- Date of birth: September 13, 1968
- Title: PhD in economy
- Workplace: Vietnam University of Commerce
- Position: Head of Marketing Management Department
2. Major research directions:
- The intensive areas, such as: Commercial Marketing, Banking Marketing, Customer rela-
tionship Management, Business to Business Marketing, Communication Marketing, PR
Management, International Marketing
- The fields of international trade
3. Publications the author has published his works:
- Vietnam Trade Review
- Vietnam Industry and Trade Review
- Trade Science Review
- Asian Social Science Review
- International Business Research Review
- International Journal of Marketing Studies
Các file đính kèm theo tài liệu này:
- b4_2_3795_2031365.pdf