Applying exploratory factor analysis (EFA) in analyzing factors affecting the intention to choose traditional markets for buying fresh food: A case study in southern central coastal region, Vietnam

Nguyen Ha Thanh Thao, Tran Minh Dao/ MICA 2018 Proceedings  
International Conference on Marketing in the Connected Age (MICA-2018), October 6th, 2018  
Danang City, Vietnam  
Applying Exploratory Factor Analysis (EFA) in Analyzing  
Factors Affecting the Intention to Choose Traditional Markets  
for Buying Fresh Food: A Case Study in Southern Central  
Coastal Region, Vietnam  
Nguyen Ha Thanh Thaoa*, Tran Minh Daob  
aQuy Nhon University, 170 An Duong Vuong, Quy Nhon, Binh Dinh, Vietnam  
bNational Economics University, 207 Giai Phong Street, Hai Ba Trung District, Hanoi, Vietnam  
A B S T R A C T  
Since renovation, the structure of shopping venues of Vietnamese consumers have changed rapidly. The  
system of modern shopping centers such as megamall, mart also are growing rapidly. However, that does not  
mean the system of traditional market will be replaced in the future.These two systems will continue to  
coexist and become competitors in the development of the market economy.To improve competitiveness the  
system of traditional markets contributed to the construction of civilized trade system in Vietnam. This study  
is aimed at applying EFA method in analyzing some factors affecting the consumers’ intention to choose  
traditional markets for buying fresh food. The data for the study were collected from consumer surveys in  
three grade 1 cities representing the southern central coastal region of Vietnam, namely Da Nang City, Quy  
Nhon City, Nha Trang City. Research results have shown that convenience, product quality, product selling  
price, consumer buying habits, and traditional market management are factors that strongly influence the  
choice that traditional markets are the place to buy fresh food in the Southern Central Coast of Vietnam.  
Thereby, the author has proposed some suggestions to help suppliers to be able to attract more consumers to  
buy fresh food at traditional markets.  
Keywords: Intention to buy; fresh food; consumers; traditional markets; South Central Coast Region.  
1. Introduction  
After more than thirty years of reform, the Vietnamese economy has made great achievements in both  
economic development and social change. Along with the current flow and the process of rapid integration, the  
system of modern shopping places has appeared more and more rapidly in the urban areas of Vietnam. This  
system has strongly influenced the psychology and behavior of Vietnamese consumers. A large proportion of  
Vietnamese consumers show quick adaptation to the system. This has changed the structure of Vietnamese retail  
trading system, in terms of economic composition, level of civilization and consumer’s trust. However, a large  
part of consumers still choose traditional markets as the place to buy fresh food because of the distinct features  
that modern shopping places do not have. This seems indispensable even for countries with modern market  
economies. Traditional markets and modernization shopping venues system are coexist and became direct  
* Corresponding author. E-mail address: nguyenhathanhtha[email protected]  
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competitors.To promote the overall development of the market economy and improve the civilization of retail  
trade,every nation must enhance competitiveness of both systems, especially the traditional market system.  
What's set up going on is more and more urgent for Vietnam.  
In addition to economic contribution, traditional markets also have many cultural and social values: cultural  
marks, soul of Vietnam reflected in the transaction and in the market culture (Linh Anh, 2012). Consumers who  
come to a local market often want to buy a traditional local product, so this is also a good channel for promoting  
and selling Vietnamese goods. (Ha Anh, 2013).  
In addition, the results of the review show that, previous studies conducted in Vietnam in general and in the  
South Central Coast in particular have focused relatively heavily on the location of the Modern shopping such as  
supermarkets, online shopping channels ... Therefore, in the view of the authors, the implementation of research  
with shopping venues as traditional markets, The type of shopping product that is fresh food is essential and  
ensures novelty for research.  
Therefore, studying the factors influencing the intention to choose traditional market as place to buy fresh  
food in the southern central coastal region is necessary to answer the question: why consumers do not quit  
purchasing fresh food at traditional markets to transfer to shopping at modern trading centers?  
2. Research overview  
Behavior and behavioral intentions involve choosing where to shop of some domestic and international  
scholar’s attention and development of different research directions. Among them, can be mentioned the  
following:  
The study by Masayoshi Maruyama and Le Viet Trung (2006) suggested that the choice of supermarkets for  
buying fresh food of Hanoians was influenced by: personal factors, product factors, and location factors. Of  
personal factors, family income plays the most important role; the higher the family income is, the more they  
want to buy fresh food at supermarkets. For product factors, safe products, fresh products, quality products with  
clear origin, well-known brands, product diversity are important factors in determining consumers’ intention to  
by fresh food at supermarkets. The higher levels of these factors are, the more consumers want to buy fresh food  
at supermarkets. The location factors show that the closer to a home a supermarket is and the more convenient it  
is to buy fresh food, the more consumers come to buy fresh food.  
Also, research by N.Chamhuri & P.J. Batt (2010) shows that the key factors that attract Malaysian consumers  
to buy fresh food (namely, fresh meat products) at supermarkets include product factor, price factor, and location  
factor. Product factors refer to fresh products, quality products, product diversity; the price factor includes low  
prices. The more satisfactory these factors are, the more people choose supermarket when buying fresh food. For  
location factors, the convenience and the environment of where to buy fresh food are the advantages for  
supermarkets to attract consumers.  
Another study in the Chinese market, which has a relatively similar culture to Vietnam - study by Zhou et al.  
(2003) found that the factors influencing the decision to choose supermarket channel when buying fresh food  
included product factor, and location factor. In particular, the product factors including safe food, good quality,  
fresh products, good packaging positively influence the decision to choose the supermarket channel when buying  
fresh food, which means that the more satisfactory these factors are, the more people choose supermarket as  
fresh food channel. For the location factor refers the distance from home to the supermarket; the farther it is, the  
more people choose supermarkets.  
Whereas, Goldman et al. (1999) argue that although modern supermarkets “grow” a lot in Asian countries  
like China, Indonesia, Japan, Singapore, Taiwan, etc., the supermarket system cannot dominate the fresh food  
line to attract consumers for such reasons as in traditional markets, retailers can supply different quantities and  
quality of products as required. Namely, for fish or meat products, when consumers want to buy products that are  
alive, the modern system such as supermarkets or other convenience stores cannot meet the requirements.  
Therefore, both traditional markets and modern ones will coexist.  
In Vietnam, also analyzing the factors affecting the selection of fresh food, Chu Nguyen Mong Ngoc, Pham  
Tan Nhat (2013) used supermarket channels for the purchase of products. More specifically, the aim of the  
research was to understand the relationship between the factors and the decision to choose supermarket channel  
of consumers in HCM city when buying fresh food. The research analysis were conducted on 120 samples; the  
research results showed that the factors affecting the decision to buy fresh food at the supermarket channel  
included those related to products, form of packaging, price and location, whereas the factors related to  
marketing did not show clear impact on the decision to buy fresh food at the supermarket.  
Based on the research overview, the variables were synthesized as follows:  
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Table 1. Variables and basis for variable selection  
Variables  
Basis for  
variable  
selection  
Product quality  
CL1. I think the food at traditional markets are fresh, delicious (quality assurance)  
CL2. The quality of fresh food in traditional markets is better than in other places  
CL3. The quality of fresh food at traditional markets does not cause any health risk  
CL4. The origin of fresh food in traditional markets is clear  
CL5. I know that fresh food at traditional markets is not as good as in supermarkets but I still  
decide to buy.  
Norshamliza  
Chamhuri and  
Peter J. Batt  
(2013)  
Price  
GC1. The sale price of fresh food in traditional markets is reasonable  
GC2. The price of fresh food at traditional markets is cheaper than in other markets  
GC3. I am willing to pay high prices when buying fresh food at traditional markets  
GC4. I can bargain when buying fresh food at a traditional market  
GC5. I can easily compare the prices of fresh food in traditional markets with other places  
GC6. I am offered a discount for being a patron  
Norshamliza  
Chamhuri and  
Peter J. Batt  
(2013)  
GC7. At the traditional market I can buy on the nod for my acquaintance with the seller  
Advantages  
TL1. At traditional markets, fresh food is very diverse  
TL2. At traditional markets, fresh food is clearly classified  
TL3. Traditional markets are open daily  
Norshamliza  
Chamhuri và  
Peter J. Batt  
(2013), Chu  
Nguyen Mong  
Ngoc et al  
TL4. Traditional markets open very early  
TL5. Traditional markets offer a variety of fresh products to choose  
TL6. Traditional marketsare near home and convenient  
TL7. Just call an order, the seller will bring home  
(2013)  
TL8. It is easy to change the items you have bought  
TL9. It is convenient for parking when buying fresh food at traditional markets  
TL10. Payment at the traditional market is favorable/familiar  
Sellers  
BH1. Sellers are funny, enthusiastic and friendly  
BH2. Sellers know very well about the products  
Norshamliza  
Chamhuri và  
Peter J. Batt  
(2013), Tinnie  
(2011)  
BH3. Familiar sellers do not cheat about the quality of the product.  
BH4. I have a good relationship with a seller at traditional market  
BH5. I go to the traditional market because I have an appointment with a seller  
BH6. I go to the traditional market because I like talking to sellers  
BH7. Familiar sellers do not need to bargain  
Habits  
TQ1. I choose traditional markets because this is a beautiful local culture of the Vietnamese.  
TQ2. I go to traditional markets as a habit of my family  
TQ3. I have no other choice than traditional markets to buy fresh food  
TQ4. I go to the traditional market because my family cooks regularly at home  
TQ5. I often go to the traditional market early in the morning after doing morning exercise  
TQ6. I often go to the traditional market early in the morning before going to work or school  
TQ7. I often go to the traditional market on my way home from work or school  
TQ8. I usually go to the traditional market to meet my friends, acquaintances to exchange and  
talk  
Teynamphet  
(2013)  
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Traditional market management  
QL1. The market has full rules, regulations and promotes good effects  
Nguyen Tri  
Vu (2017)  
QL2. The market management goes smoothly, and effectively  
QL3. Stalls are well designed and well-equipped to do business  
QL4. Service quality provided at the market is good  
QL5. Market land use and prices are cheap  
QL6. Market management board coordinates with stakeholders to well serve consumers and  
traders.  
Source: The author’s synthesis  
3. Research methods  
3.1. Data collection  
Primary data was collected from consumer interviews - Fresh food buyers in traditional markets or  
in supermarkets - using standardized questionnaires with a 5-point Likert scale to measure the  
perception of the respondents by the level from 1 to 5 corresponding from strongly disagree to  
strongly agree with the opinion given in the questionnaires.  
The author conducted a survey for 990 consumers - those who buy fresh food at traditional markets  
in three cities: Quy Nhon City - Binh Dinh Province, Da Nang City and Nha Trang City, Khanh Hoa  
province  
990 questionnaires were distributed equally to three localities:  
330 questionnaires in Binh Dinh Province  
330 questionnaires in Da Nang city  
330 questionnaires in Nha Trang city, Khanh Hoa province  
Duration of the survey: from August 2017 to the end of December 2017.  
Consumers selected for survey according to the convenient sampling method are those who have  
been carrying out fresh food shopping at traditional markets of Nha Trang, Da Nang and Quy Nhon.  
After gathering information, the author cleaned the data; in the event that the number of samples  
after cleaning was not enough to ensure the minimum number of samples, the author conducted further  
interview to ensure the sample size to meet the minimum requirement for statistical analysis.  
With 990 questionnaires distributed, the author collected 936 questionnaires. After inserting the  
data, some survey questionnaireswere not satisfactory, the author eliminated those. Then, there  
remained 906 satisfactory questionnaires. For the convenience of data processing, the author selected  
900 among those questionnaires, inserted data into the exel software and performed the analysis with  
the help of SPSS software 20.0.  
3.2. Data analysis  
The EFA method was used to analyze a number of factors affecting the intention to choose  
traditional markets for fresh food in the South Central Coast region of Vietnam with the help of SPSS  
software 20.0.  
4. Research results  
In order to perform the exploratory factor analysis (EFA), firstly the author conducted Cronbach’s alpha  
testing to verify the reliability of the scales. The test results removed some of the unreliable scales; the others are  
used to perform exploratory factor analysis.  
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Table2. Reiability Statistics  
Reliability Statistics  
Product quality  
Cronbach's Alpha  
N of Items  
5
0,836  
Price  
Cronbach's Alpha  
0,847  
N of Items  
7
Advantages  
Cronbach's Alpha  
0,842  
N of Items  
10  
Seller  
Habits  
Cronbach's Alpha  
.763  
N of Items  
7
Cronbach's Alpha  
.720  
N of Items  
8
Traditional market management  
Cronbach's Alpha  
.760  
N of Items  
6
Source: The analysis results are based on the survey data  
Then, the author conducted the KMO and Bartlet’s tests to check whether the data set was suitable for the factor  
analysis or not; the results are shown as follows:  
Table 3. KMO and Bartlett’s test  
KMO and Bartlett's Test  
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.  
,854  
1847,044  
10  
Bartlett's Test of Sphericity  
Approx. Chi-Square  
Df  
Sig.  
,000  
Source: The analysis results are based on the survey data  
From the table above, we see KMO = 0.854; Bartlett test statistic Sig. = 0.000 <0.05. This indicates that the  
observations are correlated to each other with a significance level of 99%. So the research model of the author is  
appropriate.  
Then, the author performed factor analysis with Eigenvalues> 1; 7 groups of factors extracted with  
explanation level of 68.612%  
Thereby, the matrix rotates the extracted factors as follows:  
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Table 4. Roteted component matrix  
Rotated Component Matrixa  
Component  
1
2
3
4
5
6
7
TL10  
TL5  
TL9  
TL7  
TL4  
TL8  
TL6  
TL3  
TL1  
TL2  
GC2  
GC5  
GC7  
GC6  
GC3  
GC1  
GC4  
BH7  
BH6  
BH2  
BH1  
BH5  
BH3  
BH4  
QL4  
QL5  
QL2  
QL3  
QL1  
QL6  
TQ8  
TQ6  
TQ2  
TQ5  
TQ1  
TQ3  
TQ7  
TQ4  
TD5  
TD1  
TD4  
TD3  
TD2  
CL3  
CL2  
CL4  
CL5  
CL1  
,886  
,872  
,869  
,865  
,863  
,850  
,848  
,837  
,801  
,782  
,854  
,840  
,839  
,819  
,799  
,782  
,758  
,875  
,846  
,839  
,811  
,798  
,793  
,764  
,912  
,885  
,881  
,852  
,850  
,819  
,876  
,875  
,796  
,775  
,736  
,725  
,687  
,518  
,856  
,795  
,787  
,750  
,695  
,755  
,746  
,745  
,737  
,718  
Extraction Method: Principal Component Analysis.  
Rotation Method: Varimax with Kaiser Normalization.  
a. Rotation converged in 6 iterations.  
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Source: Analysis results of the author based on survey data  
Table 3 shows that the first factor consists of 10 scales and is named as convenience factor group in which  
the scale with the greatest impact score is TL10 - Payment at the traditional market is favorable/familiar - with  
the impact score of 0.886; the lowest impact factor is TL2 - At traditional markets, fresh food is clearly classified  
with the impact score of 0.782.  
FAC1 = 0,886TL10 + 0,872TL5 + 0,869TL9 + 0,865TL7 + 0,863TL4 + 0,85TL8 + 0,848TL6 + 0,837TL3 +  
0,801TL1 + 0,782TL1  
The research results of the author are consistent with the reality, as compared with other modern shopping  
places, queuing up and waiting to pay the food often cause negative psychology to consumers, especially in rush  
hours. The convenience in payment is also highly appreciated by the survey respondents.  
The second factor is made up of seven scales:  
FAC2 = 0,854GC2 + 0,84GC5 + 0,839GC7 + 0,819GC6 + 0,799GC3 + 0,782GC1 + 0,758GC4  
The second factor is named as the price factor group in which the scale with the greatest impact score is GC2  
- The price of fresh food at traditional markets is cheaper than in other markets - with the impact score of 0.854.  
The lowest impact factor is GC4 - I can bargain when buying fresh food at a traditional market – with the impact  
score of 0.758. Price is always a competitive factor for suppliers to attract customers; the more competitive the  
price is, the better advantages the sellers have.  
The third factor is the sellers, which is made up of seven scales, namely:  
FAC3 = 0,875BH7 + 0,846BH6 + 0,839BH2 + 0,811BH1 + 0,798BH5 + 0,793BH3 + 0,764 BH4  
The scale with the greatest impact score is BH7 - Familiar sellers do not need to bargain with the impact  
score of 0.875. The lowest impact factor is BH4 - I have a good relationship with a seller at traditional market –  
with the impact score of 0.764.  
The fourth factor is traditional market management with six scales in which the scale with the greatest impact  
score is QL4 - Service quality provided at the market is good - with the impact score of 0.912.  
FAC4 = 0,912QL4 + 0,885QL5 + 0,881QL2+ 0,852QL3 + 0,85QL1 + 0,819QL6  
The service quality is always the priority and gets the attention of consumers/ customers; the service quality  
will better attract customers.  
The fifth factor is the consumer’s habits:  
FAC5 = 0,876TQ8 + 0,75TQ6 + 0,796TQ2 + 0,775TQ5 + 0,736TQ1 + 0,725TQ3 + 0,687TQ7 + 0,518TQ4  
The consumer’s habit factor includes 8 scales in which the scale that has greatest impact score is TQ8 - I  
usually go to the traditional market to meet my friends, acquaintances to exchange and talk- with the impact  
score of 0.876. The lowest impact score is TQ4 - I go to the traditional market because my family cooks  
regularly at home- with the impact score of 0.518.  
The sixth factor is the product quality:  
FAC6 = 0,755CL3 + 0,746CL2 + 0,745CL4 + 0,737CL5 + 0,718CL1  
This factor includes 5 scales in which the scale that has greatest impact score is CL3 -The quality of fresh  
food at traditional markets does not cause any health risk - with the impact score of 0.755. The health of family  
and relatives is always the biggest concern of consumers; therefore, the product’s quality assurance to avoid  
health risks for consumers is considered as the greatest influence of this variable. It is also consistent with the  
increasing demand of consumers in terms of product quality beside product design.  
In the scope of this study, the author does not focus on analyzing consumer behavior variable (TD).  
Results of statistical analysis using data from the survey showed that the factors with the influence of different sizes in  
the view of the object to be examined are consumers buy fresh food at traditional markets in the South Central Coast.  
Research’s results have shown with different groups of factors that influence the level of the scale according to the  
consumer are different corresponding to that is expressed through the impact point is different.  
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Based on the analysis of the study, the authors make recommendations that contribute to further enhancing the level of  
" coverage " of traditional markets with consumers through recommendations in turn relating to each group of factors  
from price , convenience, product’s quality, traditional market management, ...  
5. Recommendations  
First, further improve the quality of products in order to ensure the origin and freshness of products, meeting  
the increasing demand of consumers.  
Second, ensure that the product prices are competitive in comparison with other suppliers of the same  
product. Also, there should be a price list to avoid fraud that affects the prestige of the traditional markets.  
Third, rearrange stalls to make it attractive and convenient for consumers when choosing to purchase goods  
at a traditional market; ensure that consumers can easily find the products they need.  
Fourth, it is necessary to further enhance the responsibility of sellers with their products to consumers; the  
sellers themselves must really understand the products to be able to introduce to consumers.  
And finally, ensure security in the market area, creating the feeling of safety and trust for consumers when  
shopping.  
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& Hội nhập, 10, 46-51.  
[2] Linh Anh, (2012). Trung tâm thương mại “nuốt” chợ truyꢀn thống, http://www.baoxaydung.com.vn/news/vn/quy-  
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[10]Tinnie, (2011), Factors affecting impulse buying behavior of consumers at superstores in Bangladesh, ASA  
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[11]Sudiyanni, (2009), Predicting women purchase intention for green food products in Indonesia  
[12]Nguyễn Trí Vũ, (2017), Nâng cao năng lực cạnh tranh của tổ chức kinh doanh chợ đô thị trên địa bàn  
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