Tác động của truyền thông marketing đến quyết định mua thực phẩm bền vững vai trò của độ tuổi

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IMPACT OF MARKETING COMMUNICATIONS ON PURCHASE  
DECISION TOWARD SUSTAINABLE FOOD  
THE ROLE OF AGE AS MODERATOR  
TÁC ĐỘNG CỦA TRUYỀN THÔNG MARKETING  
ĐẾN QUYẾT ĐỊNH MUA THỰC PHẨM BỀN VỮNG  
VAI TRÒ CỦA ĐỘ TUỔI  
MA, Nguyen Hien Anh - MA, Vu Phuong Anh - MA,Pham Trinh Yen Chi  
Thuongmai University  
Abstract  
Sustainable food consumption tends to increase rapidly in big cities like Hanoi in recent  
years. This study aims to reveal the impact of marketing communications on the purchasing de-  
cision of Hanoi consumers while clarifying the role of age as mediator variable. The researchers  
have surveyed 404 regular consumers who purchase different types of sustainable food at super-  
markets located in Hanoi. Research has shown that all marketing communications variables in-  
cluding Advertising, Sales promotion, direct marketing, public relations, personal selling have  
positive influence on sustainable food purchase decision. Among those variables, direct marketing  
and public relations show the biggest impact. At the same time, the study also found the difference  
in the purchase decision of consumers among age groups as a moderator variable. Accordingly,  
the age group from 35 to 45 has stronger purchase decision than the other groups.  
Keywords: Sustainable food; marketing communications; the purchasing decision, the age.  
Tóm tắt  
Tiêu dùng thực phẩm bền vững đang tăng mạnh tại các thành phố lớn như Hà Nội trong  
những năm gần đây. Nghiên cứu đo lường tác động của truyền thông marketing đến quyết định  
mua của người tiêu dùng, đồng thời xem xét tác động của độ tuổi. Kết quả khảo sát từ 404 người  
tiêu dùng thường xuyên của nhiều loại thực phẩm bền vững tại các siêu thị trên địa bàn Hà Nội  
cho thấy tất cả các biến số truyền thông marketing gồm Quảng cáo, Xúc tiến bán, Quan hệ công  
chúng, Marketing trực tiếp, Bán hàng cá nhân đều tác động thuận chiều lên quyết định mua thực  
phẩm bền vững. Trong đó, marketing trực tiếp và quan hệ công chúng có khả năng tác động  
mạnh nhất. Nghiên cứu cũng cho thấy có sự khác biệt trong quyết định mua giữa các nhóm tuổi  
khác nhau, theo đó, nhóm người tiêu dùng từ 35 đến 45 tuổi có quyết định mua thực phẩm bền  
vững mạnh hơn so với các nhóm tuổi khác.  
Từ khóa: thực phẩm bền vững, truyền thông marketing, quyết định mua, độ tuổi.  
1. Introduction  
Sustainable food is defined as premium, rich in nutrition food which is produced according  
to the principles of sustainable development (Liu, 2003). According to the Law on Food Safety  
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of Vietnam - No. 55/2010 / QH12, sustainable food are products that do not harm human health  
and lives. Under the Law, foods classified as safe include nontoxic, green, and organic foods.  
In emerging economies such as Vietnam, the sustainable food market tends to thrive due  
to the increase in people’s income that leads to more spending on high-quality, safe, and healthy  
products. Nielsen report (2014) shows that spending on these products increased from 5.5% in  
2008 to 7.06% in 2014. Market research firm Q&M (2018) reported that safety and health benefits  
were on top concerns of Vietnamese consumers in Hanoi and Ho Chi Minh City when purchasing  
food, especially for consumers aged 25 to 29 who had average or high incomes. This was the age  
group that shows the highest interest (88%) towards purchasing sustainable products like organic  
foods. Research by Le Kim Sa, Vo Hoang Dat (2014) clarified the characteristics of the middle  
class in Vietnam, and she concluded that this class, ranging from 29 to 55 years old, was more  
likely to buy sustainable, eco-friendly products than other groups.  
The 2018 Nielsen report stated that the total value of Vietnam’s sustainable food market  
was 131 million USD, and the annual growth rate till 2025 of this market could be at 17.2%. Up  
to now, there are 80 Vietnamese enterprises involved in the production of sustainable food, and  
many large retailers offer to sell these food products. Despite many optimistic indicators, aware-  
ness, and behavior of Vietnamese consumers towards sustainable food is still not completed. A  
study by Vietnam National University in 2015 showed that only 10% of consumers in Hanoi fully  
and correctly understood about organic food. Although most of the consumers asked knew about  
organic foods, 50% of them did not understand the meaning of the term. At the same time, many  
consumers, although expressing high buying intentions for sustainable food, did not seem to have  
actual buying behavior. This is also a common situation in many markets shown in several studies.  
For example, One research conducted in Spain concluded that Spanish consumers spent 1.018  
million euros on clean food, compared with 101,250 million euros they spent on traditional food  
(Maria Hidalgo-Baz. et al, 2017). One of the reasons is the difficulty in distinguishing and rec-  
ognizing clean food and, businesses that produce and supply clean food did not efficiently make  
use of marketing communication tools (Aertsens et al., 2009).  
In the Vietnamese market and many developing countries, although advertising and sales  
promotion are the two major budget contributors in the total media budgets of Vietnamese food  
retailers (Worsley et al. , 2015) undeniably the power and influence of public relations, direct  
marketing, and personal sales tools (Peachman and Catlin, 2016). However, almost all researches  
on marketing communications for sustainable foods focus on the message creation aspect and  
the impact of the message on consumer behavior (Melovic et al., 2020). Up to now, there have  
not been many direct studies on the relationship between marketing communication tools and  
the decision to buy food, not mention sustainable food. In those studies, some only tested a few  
communication tools (Ruswanti et al., 2017). The results of the previous studies were also not  
consistent. Manengkey and Tielung (2015) studied the role of sales promotion for food retailers  
and concluded that individual sales and sales promotion do not significantly affect the possibility  
of sales increase. The research team of Ruswanti et al. (2019) also shared this view with the con-  
clusion that personal selling and sales promotion did not affect the buying organic vegetable be-  
haviors of Malaysian consumers, and only advertising and marketing were proved to have an  
impact. Wagner and Hansen (2002) also found that advertising related to organic food character-  
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istics and a healthy lifestyle have a strong impact on consumer buying behavior. However, in the  
2017 organic food buying behavior study, Ruswanti’s team found that marketing communications  
factors all influenced consumer buying behavior.  
Age has been shown by many studies to have an impact on the decision to buy sustainable  
foods. Balasubramanian (2006) and Connor and Douglas (2001) researched the US and Ireland  
market, and both identified that consumers aged 50 and over had more negative attitudes towards  
organic food and also spent less on this product group. The reason was the difficulty in accepting  
innovations. Nayga (1995) also concluded that consumers in the older age group wanted to spend  
more on traditional foods than organic foods. Nayga (1995) also found that consumers in the  
younger age group tended to pay 6% higher prices for foods that did not contain pesticides com-  
pared to other age groups. However, research by Yin’s team (2010) concluded that age does not  
affect the decision to buy organic food for Chinese consumers. Therefore, the role of age in sus-  
tainable food purchasing decisions is not consistent.  
In particular, there are no studies on age as a variable that regulates the relationship between  
marketing communications and consumer purchasing decisions in this product area.  
Therefore, this study is conducted with two objectives: First, to assess the impact of mar-  
keting communication on the decision to buy sustainable food of Vietnamese consumers; sec-  
ondly, to judge the significance of age as a moderator variable.  
2. Defining research hypotheses  
2.1. Marketing communication on the food purchasing decision  
The term “marketing communications” appeared in the 1980s, referring to a combination  
in the direction of integrating all marketing communication efforts including advertising, sales  
promotion, public relations, personal selling, and direct marketing (Anantachart, 2006). The role  
of communication tools in retail and food retail particularly has been confirmed by many studies,  
but very few studies have looked into the impact of these tools in an integrated method.  
When it comes to the need for information, consumers are increasingly looking for guar-  
antees and guidelines on food quality and safety (Verbeke, 2008). Consumers use this information  
to make purchasing decisions and to achieve satisfaction with products and suppliers. Information  
on nutritional ingredients and healthy relationships with food has supported consumers in eval-  
uating products and setting quality expectations. Information related to product characteristics,  
nutritional value, and supplier image have helped consumers form buying intent and deciding to  
choose products.  
2.2. The impact of marketing communication on the purchasing decision of sustainable food  
2.2.1. The connection between advertising and purchasing decision  
Advertising’s impact on food purchase decisions has been a controversial subject. One of  
the reasons is the link between consumer health and food advertising (Robinson, 1998). Adver-  
tising plays a crucial role in modern business because it is all about educating consumers’behavior  
towards products. Ads help consumers get more information about the products and sellers, from  
which to make purchasing decisions. Advertising influences perception, knowledge, wants, ref-  
erences, and purchase decisions. Consumers are exposed to many advertisements in a day, on  
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many different media channels such as television, radio, online channels, printed newspapers,  
catalogs, leaflets, etc. However, they only remember a few brands. It is easier for consumers to  
turn to and buy a competitor’s brand if the retailer does not provide all the information they want.  
The job of advertising is to attract customers’ interest in the products.  
Previous studies have shown a positive relationship between TV advertising and consumer  
purchasing decisions (Malik et al., 2013). TV advertising leads to demand from which consumers  
are willing to pay higher prices, and the buying patterns have also evolved (Fathi All-Share and  
Marwan Al Salaimeh, 2010). In the current context, advertisers are more likely to use Internet  
advertising than advertising on traditional channels such as television as they believe that cus-  
tomers perceive the added value of a product through advertising interactions. These interactions  
will increase consumer engagement and interest, and lead to loyalty to the brand (Priyanka, 2012).  
According to Pughazhendi’s group (2010), advertising in emerging markets such as Vietnam  
often uses celebrities to promote product images. Xanat and Han (2016) analyzed the significant  
effects of online advertising on consumers’interest and the decision to buy organic food between  
South Korea and Mexico. The results show that Twitter is an effective tool for word-of-mouth  
marketing between consumers and businesses. Online advertisements in Korea often focus on  
promotions and news about suppliers. Meanwhile, content in Mexico often emphasizes the or-  
ganic food products themselves. Green and Peloza (2014) synthesized two ways to advertise  
clean food products. They mentioned advertisements emphasizing products with environment-  
friendly features and ads introducing products with beneficial features (financial benefits, health  
benefits).  
H1: Advertising positively affects consumers’ decisions to purchase sustainable food.  
2.2.2. The connection between sales promotion and purchasing decision  
Sales promotion has shown itself to have a significant impact on consumers’ purchasing  
decisions. About 70% of purchasing decisions happen at the point of sale (De Pelsmacker et al.,  
2001). In addition to product characteristics and price, sales promotion programs are a common  
tool used by retailers to influence the purchasing decisions of customers (Nagar, 2009). The goal  
of sales promotion is to attract new customers, increase market share in selected, competitive  
market segments.  
Cole (2011) identified sales promotion as a means of guiding consumers with low aware-  
ness of the benefits of sustainable food, attracting their attention, and leading to buying decisions.  
Dickieson and Arkus (2009) conclude that consumers’purchasing decisions on organic foods are  
strongly influenced by economic factors, for example in the case of economic recession, con-  
sumers will consider buying high-priced products such as organic food. Based on this conclusion,  
Krnáčová and Závodský (2018) studied the effect of sales promotion on the buying behavior of  
organic food by Slovak and Czech consumers. The authors conclude that sales promotion influ-  
ences the decision to buy organic food, and each method has a different level of influence, in  
which free samples, coupons and discounts, and price bundles are the most effective methods.  
However, some studies have shown opposite results. Ngobo (2011) points out that for or-  
ganic food, an increase in price to a certain level will lead to increased demand; however, if the  
retailer keeps raising it excessively, demand decreases. The author also said that sales promotion  
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negatively affects the decision to buy organic food, since this is a product positioned as premium  
since it offers a higher value in nutrition, better health benefits, and more environment-friendly.  
Ruswanti et al. (2017) also stated that sales promotion did not affect organic food buying behavior.  
Chichudean et al. (2012) stated that for organic food, sales promotion has a big impact on the be-  
havior of customers aged 30 and over.  
H2: Sales promotion positively affects consumers’ decisions to purchase sustainable food.  
2.2.3. The relationship between public relations (PR) and purchasing decision  
Johnston and Sheehan (2009) define PR as the development and management of ethical  
communication strategies for building relationships with shareholders and the public. Mokhtar  
and Yusr’s research (2016) suggested that PR activities could help in building strong brands for  
a retail company, and thereby, affect customer’s loyalty. PR plays an essential role in introducing  
new products, repositioning saturated products, building interest in products, and influencing at-  
titudes and behaviors of target groups (Kotler, 2003; Bruning, 2002; Bruning and Ralston, 2001;  
Hon and Brunner, 2001). PR adds to the credibility of communication messages because con-  
sumers usually perceive information from PR programs to be more reliable.  
Nour et al. (2014) stated that the effectiveness of corporate PR activities can be measured  
through customer’s supportive behaviors towards the business such as buying and repeat buying.  
According to Boztepe (2012), PR is necessary for stimulating consumer buying intent and deci-  
sion-making for green products. Banyte et al. (2010) also concluded that in the green marketing  
strategy, PR is the most important communications tool due to its strong impact on consumer’s  
awareness and on the buying decision toward green products.  
H3: Public relations positively affects consumers’ decision to buy sustainable food.  
2.2.4. The relationship between direct marketing and purchasing decisions  
Hanchion team (2002) affirmed that direct marketing positively affects companies’ direct  
communication with consumers. The research of Virgilijus and Vilija (2013) synthesizes direct  
marketing tools used for agricultural products including kiosk marketing, e-commerce, sale to  
restaurants, hotels, direct sale on the farm. Under this approach, direct marketing coincides with  
direct selling. This approach has been used in many studies, including the research of Uematsu  
and Mishra (2011), Zanoli (2004), Trappy, and Lai (2016). Zanoli (2004) stated that organic food  
consumers tend to buy their favorites directly from producers because they think that they are  
truly organic. As a result, more and more retailers are participating in the production of sustainable  
foods such as organic foods. However, direct marketing needs to be understood in a broader con-  
text, that is “the relationship marketing process includes identifying target customers, converting,  
maintaining relationships with those customers with personalized feedbacks and control using  
direct response advertising with observation codes” (Bauer, Miglautsch, 1992). According to this  
approach, tools like teleshopping and mail order are also direct marketing.  
Direct marketing is considered as one of the modern retail forms developed in Asian mar-  
kets (Trappey, Lai, 2016). It appears as the major method to help retailers increase the effective-  
ness of communication strategy, customer relationship development, and cost reduction (Flici et  
al., 2011). Direct marketing relies on customer identification processes to measure their values  
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and predict the ability that they may respond to other promotional programs such as sales pro-  
motion (Changchien et al., 2004). Kotler and Armstrong (2008) concluded that direct marketing  
is effective due to its ability to connect directly with target customers, and this is an interactive  
marketing system using one or more advertising channels that can measure sale results. Some  
studies have shown that marketing directly affects customer behavior, such as the study of Hill,  
Provost, and Volinsky (2006), Prins and Verhoef (2007), Risselada et al. (2014).  
In the last decades of the 20th century, direct marketing was mainly used by retailers in  
developed countries as the primary tool to place orders (via mail, catalog, free phone ordering  
service, interactive response advertising, and home shopping TV program). With the development  
of information technology, many new direct marketing tools have emerged and developed (e-  
catalogs, e-mail, etc).  
H4: Direct marketing positively affects consumers’ decision to buy sustainable food.  
2.2.5. The relationship between personal selling and purchasing decisions  
The importance of personal selling is that salespeople are the bridge connecting businesses  
with consumers. Murianki (2015) pointed out that personal selling has the ability to help busi-  
nesses increase sales because salespeople’s efforts increase customer understanding of the prod-  
ucts, and thereby driving buying behavior. Yousif (2016) also concluded that increasing individual  
selling efforts positively impact retailer sales. De Pelsmackeret (2007) emphasizes that personal  
selling includes not only selling activities but also after-sales activities such as guidance and sup-  
port. Nowadays, sales forces use a variety of techniques, such as SPIN (Kotler, 2012), to develop  
long-term relationships with valuable customers. Since each consumer has unique personal char-  
acteristics and requirements, managers need to understand their behavior to design and to use the  
most appropriate marketing communication tools. Hence the role of personal selling is getting  
more and more crucial, especially for products that consumers still have misconceptions about  
like sustainable food. Getting consumers’ attention through direct communication has a big part  
in building relationships with them and also influences buying decisions (Oladipo, 2019).  
Kotler (2003) added that personal selling is a communication tool to establish a two-way  
relationship between businesses and buyers. Customers can ask questions directly to salespeople,  
give their opinions, and discuss to increase understanding. Consequently, they can make appro-  
priate buying decisions and have a high chance to repeat the buying behavior. Azam et al. (2016)  
stated that the ability of consumers to make buying decisions at retail points increases if they are  
provided with information from salespeople.  
H5: Personal selling positively affects consumers’ decision to buy safe food.  
2.3. The relationship between age and purchasing decision  
There have been quite a few studies looking at the role of consumers’age in different buy-  
ing behaviors of sustainable foods like green and organic foods. However, the results of these  
studies did not coincide. Yin et al. (2009) observed that there was a difference in the buying be-  
havior of Chinese green food consumers among different age groups while young consumers are  
more likely to buy this product than older age groups. However, the authors also emphasized that  
age only influenced buying intent slightly. Balasubramanian (2006) did research with American  
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consumers, and Connor and Douglas (2001) did one with Irish consumers, and they all agreed  
that older consumers (50 and above) spent less on organic food.  
Some studies drew the opposite conclusion. Research by Paul and Rana (2012) concluded  
that among the demographic variables studied (gender, age, education level, and income) only  
educational level influenced consumers’intention to buy organic food. This result coincides with  
the analysis of Dimitri and Dettmann (2012) which concluded that there is no difference in organic  
food buying behavior among different age groups.  
Q6: There is a difference in the decision to buy sustainable food among consumers in different  
age groups.  
3. Research methodology  
3.1. Research Process and Subjects  
This research applied a quantitative method to study the effects of marketing communica-  
tions tools on Hanoians’ decision to buy sustainable food. The research is divided into two main  
phases. Phase one is experimental research, and phase two is the official investigation. The main  
purpose of the experimental research is to examine the feasibility, to test the compatibility of the  
variables after synthesizing previous studies with different research contexts, and to adjust the  
academic language. From the results of phase one, the authors would be able to complete the of-  
ficial questionnaire to extend the survey. The authors have issued direct questionnaires with 12  
people, of which 10 regularly buy (4 times a month on average) sustainable food. They are knowl-  
edgeable about organic food in general and sustainable food in particular, and have a large pur-  
chasing frequency; consequently, they can give valid answers. Besides, two shop owners  
specializing in selling sustainable food, “Kona Food” and “The King of Specialty” were inter-  
viewed also. The interviews helped to explore opinions from food retailers who have direct con-  
tact with the markets and practice marketing communication activities themselves.  
After calibrating the data and scale according to the comments of experts and customers,  
the authors conducted a large-scale official survey with respondents in Hanoi area.  
The research focused on sustainable food as a typical research product. There are two main  
reasons for the authors to make this decision. Firstly, although organic consumption is on the rise  
among young people, the concept of organic food is still relatively new in the Vietnamese market,  
and the quantity of organic products is still limited. Sustainable food is a more popular and ap-  
pealing product in this market. The second reason comes from the Vietnamese market context  
that stresses the alarming topic of food safety and hygiene. Recently, people have gradually paid  
more attention to safety factors when buying food. Moreover, it not only takes place among young  
people but also among the elderly - who are very concerned about health issues for themselves  
and their families.  
3.2. Research instrument  
The study used questionnaires with close-ended questions to collect research data. The  
questions were centrally designed and the factors that made up the independent variable are the  
marketing communication activities of the retailers, the dependent variable of purchasing deci-  
sions as well as the questions related to the regulatory variables such as gender, age, education  
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level, occupation, etc, to collect information to test research hypotheses. The 7 items of the ad-  
vertising variable are compiled from the research of Mahmud I. Nour et.al (2014), Priyanka  
(2012), Kuo Ming Chu (2018), and Huong (2017). The sales promotion variable with 9 items is  
synthesized from the research of Mahmud I. Nour et.al (2014), Huong (2017). The direct mar-  
keting variable with 6 items is synthesized from the studies of Kuo Ming. Chu (2018), Pradeep  
K. Korgaonkar, et.al (2000) and Sharma, N., Patterson, PG (1999). The Public relation variable  
was synthesized from An-tien Hsieh, Chungkai Li (2008) with 5 observed variables. Finally, the  
individual sales variable includes 6 variables synthesized from the study of Sharma, N., Patterson,  
P.G (1999). Likert 5 scale was used with the corresponding answer: totally agree, agree, normal,  
slightly agree, and disagree.  
3.3. Data collection and samples  
The sampling method in the study is a convenient sampling method. Investigated subjects  
are Hanoi people, aged 22 - 60 years old, working or retired, having a regular income, and having  
bought sustainable food in the past three months.  
To be able to collect accurate data, the author used collaborators who were trained and had  
an understanding of the details of the questionnaire, knew the content and purpose of each ques-  
tion, and were ready to advise and answer questions of customers when required. The assistants  
reached out directly to the consumers at the store (with the consent of some store owners such as  
Ecofood, Cleverfood) after they had completed the purchase. For each completed reply, they will  
receive a 20,000vnd discount vouchers that can be applied at the store they are buying. In addition  
to using the investigative collaborators at the store, the authors also contacted Women’s Unions  
of some residential groups to directly investigate retirees aged 55-60 years old. Besides, the au-  
thors and their assistants also use familiar relationships, distribute online coupons to some 25-35  
year-old who work in the office, and have the habit of reading emails frequently. In summary,  
the author’s team issued a total of 450 questionnaires, then collected 404 with 46 invalid ques-  
tionnaires, 407 valid ones.  
3.4. Data analysis  
With the data collected from the investigation, the author used SPSS20 software to process  
them. Quantitative methods such as descriptive analysis, Cronbach Alpha, EFA, regression will  
be applied to test research hypotheses, to determine mean of each constituent factor and each  
factor, as well as consider the relationship between independent variables (marketing communi-  
cation factors of TPAT enterprise) with dependent variable (Decision to buy TPAT).  
4. Research results and discussion  
4.1. Describe the study sample set  
Table 1 describes the demographic information of the interviewees, of which out of 404  
respondents, 299 people (accounting for 74%) are female, and 105 people, or about 26%, are  
male. This is also completely consistent with the research context, because women are often re-  
sponsible for food shopping every day, especially sustainable food for the family. Besides, the  
majority of people were under the age of 25 or from 25 to 35 years old, about 33%. The third-  
largest group is 35-45 years old (accounting for 16.1%), and the number of retirees is 10, 9%.  
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The rest were from 45 to 55 years old. Most of them had completed high school, mainly with  
university degrees (81.7%) and married (63.1%).  
Table 1: Demographic information of the Target Respondents  
Demographic  
No  
%
Demographic  
No  
%
Gender  
male  
105  
26  
26 occupation  
Office worker/ State  
employees  
239  
59.2  
female  
74  
age  
Under 25  
25 tounder 35  
35 tounder 45  
45 to under 55  
over 55  
Manager  
25  
50  
34  
56  
6.2  
12.4  
8.4  
Freelancer  
Industrial worker  
Stay-home moms/dad/  
retirees  
13.9  
Education level Highschool  
32  
21  
7.9  
5.2  
Vocational school/ college  
Bachelor  
Thu nhập Under 10 mil  
81  
184  
79  
20  
330  
21  
81.7  
5.2  
bình quân  
tháng  
10-20 mil  
20-30 mil  
30-40 mil  
over 40 mil  
45.5  
Master/ PHd/ Prof.  
Single  
19.6 marital  
10.6 status  
4.2  
255  
149  
63.1  
36.9  
43  
Married  
17  
People with a total household income of 10-20 million accounts for the majority of about  
45.5%. They are mainly young aged 25-35 years old. They are mostly office workers or free-  
lancers who have a busy lifestyle and the habit of shopping for food at retail stores or supermar-  
kets instead of traditional markets. Meanwhile, people with incomes below 10 million are mostly  
government officers, under the age of 30 or single people. Those who have a high income of 30  
million or more are usually married, already have children, and have reached manager positions.  
4.2. Data Analysis Results  
4.2.1 Cronbach Alpha reliability analysis  
This Cronbach Alpha coefficient was to determine the reliability of each observed compo-  
nent that constitutes the independent variable and the dependent variable before considering each  
relationship between the variables. The reliability of each variable must be between 0.7 and 1.0  
to ensure that the observed variables in a factor have a significant correlation. The higher the co-  
efficient, the higher the correlation between the variables (Trong & Ngoc, 2008). Variables with  
Corrected item-total Correlation <0.3 would be considered unqualified and removed from the  
scale. The results are shown in the following table.  
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Table 2: Results of analysis of Cronbach Alpha reliability  
Corrected  
Item-Tota  
Variables  
and items  
Item-Total  
Correlation  
coding Mean  
a
Mass Media Advertising  
QC1  
QC2  
QC3  
QC4  
QC5  
3.10  
3.36  
3.28  
3.22  
3.49  
3.41  
3.30  
3.40  
3.38  
3.42  
3.29  
3.17  
3.19  
3.30  
3.38  
3.41  
3.51  
0.883  
.699  
.714  
.633  
.581  
.694  
.685  
.699  
.569  
.516  
.710  
.600  
.488  
.577  
.611  
.662  
.706  
.684  
Online advertising (Social networks, websites)  
Advertising through flyers and posters at stores  
Content about variety  
Content about product’s origin  
Instore sale-promotion signs  
Message’s format and display  
Loyalty/ reward programs  
Discount offers  
Gift-vouchers  
Additional gifts  
Fair  
Price bundles  
Special promotion events  
Instore trial  
Distinctive exhibit area  
I get information on organic foods by  
email/mail/phone calls from my favored organic  
foods retailer.  
QC6  
QC7  
XTB1  
XTB2  
XTB3  
XTB4  
XTB5  
XTB6  
XTB7  
XTB8  
XTB9  
DM1  
0.869  
0.852  
The direct communication provide a valuable source  
of information about local sale  
DM tells me which brands have features I am looking DM3  
for  
Word-of-mouth from friends, family members,  
referrals, or food blogs, has affected my knowledge of  
organic foods.  
DM2  
3.23  
3.24  
3.66  
.544  
.572  
.630  
DM4  
The DM used by this retailer carry enough  
information needed by customers  
DM5  
3.60  
.697  
The DM used by this retailer help me up-to-date  
about product/service available in the marketplace  
The message about the retailers’ PR obtain from the  
media are more than other competitive brands  
I feel that the retailer often holds PR activities to  
enhance consumers’ understanding about the  
company/products  
DM6  
PR1  
PR2  
3.45  
3.21  
3.61  
.707  
.442  
.582  
0.759  
I feel that the retailer is involved in sponsorship  
activities, special events  
PR3  
3.41  
.573  
I feel that the retailer would deal with emerging issue  
timely and sincerely  
I feel that the retailer would handle consumers’  
comment timely and sincerely  
PR4  
PR5  
3.10  
3.51  
.283  
.561  
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This retailer’s employees are always ready to help  
customers  
Generally, this retailer’s employees have good  
knowledge of their jobs  
BHCN1  
BHCN2  
3.79  
3.54  
0.837  
.736  
.669  
Generally, this retailer’s employees have good service BHCN3  
attitude  
3.61  
.533  
Generally, this retailer’s employees are presentable  
BHCN4  
3.41  
3.35  
.511  
.635  
Generally, this retailer’s employees have been well  
trained  
BHCN5  
The organic retailer’s employees are friendlier than  
those of other traditional retailers  
I decided to buy sustainable food  
BHCN6  
3.52  
.613  
QD1  
QD2  
QD3  
3.58  
3.46  
3.53  
0.839  
.751  
.648  
.712  
I may buy sustainable food  
I will recommend others to buy sustainable food  
After analyzing the reliability of Cronbach’s alpha, there was variable PR4 with a total  
variable correlation coefficient of 0.283 <0.3, which does not guarantee eligibility; therefore, it  
is rejected. The result of running the total coefficient of the PR factor after the elimination of the  
variable was 0.759 > 0.7, and that ensured the conditions of 4 observed components.  
All the remaining independent variables had Cronbach alpha coefficients from 0.837 to  
0.883 to ensure that they satisfied the above condition, the component observed variables have  
the total variable correlation coefficient satisfying the condition of being higher than 0.3, indi-  
cating the reliability and high correlation between observed variables, and all the observed vari-  
ables of the remaining independent factors are retained to perform the EFA discovery factor  
analysis.  
4.2.2. Results of factor analysis EFA  
Exploratory factor analysis was performed with the Principal Component Analysis method  
with Varimax rotation. The results of EFA analysis for independent variables after eliminating  
some variables with unsatisfactory factor load factor <0.5 are shown in the following table.  
Table 3: KMO results table and Bartlett’s test  
Kaiser-Meyer-Olkin  
Bartlett’s test  
Compatibility level  
Approx. Chi-Square  
df  
.883  
5,457.738  
435  
Sig  
.000  
KMO coefficient = 0.883> 0.5 means factor analysis is appropriate with research data, with  
0.000 significance in Bartlett’s test. Thus, we can completely reject the hypothesis that homoge-  
neous factors, or in other words, these observed variables are correlated with each other on the  
overall scale and satisfy the conditions in factor analysis for regression analysis  
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Table 4: Results of factor analysis to discover EFA  
Items  
Factor Loadings  
1
.778  
.757  
.743  
.706  
.654  
.629  
.610  
.589  
2
3
4
5
XTB9  
XTB3  
XTB8  
XTB7  
XTB4  
XTB1  
XTB6  
XTB5  
QC2  
.810  
.784  
.754  
.749  
.723  
.672  
QC7  
QC6  
QC1  
QC5  
QC3  
BHCN1  
BHCN 2  
BHCN 6  
BHCN 5  
BHCN 3  
DM6  
.818  
.769  
.713  
.706  
.635  
.823  
.786  
.741  
.664  
.559  
DM1  
DM5  
DM4  
DM3  
PR3  
.765  
PR2  
.752  
PR1  
.729  
PR5  
.673  
Total Initial Eigenvalues  
Cumulative %  
8.140  
2.912  
2.702  
2.032  
1.498  
57.613  
27.135  
36.840  
45.848  
52.620  
Based on the above results table, it can be included that the extracted index of each com-  
ponent factor which is higher than 1.0 is satisfactory. Consequently, it can be concluded that 5  
independent factors can influence the purchasing decision. The progressive value of the total  
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variance extracted = 57.613> 50%, so 57.613% of the data variation is explained by the above 5  
factors. In which, with factor load factor satisfying> 0.5, each independent variable is described  
by observed variables as shown in the table presented. Therefore, the independent variables will  
be the same from the initial hypothesis set as Advertising, sales promotion, direct marketing, PR,  
and personal sales.  
For the dependent variable with coefficient KMO = 0.710> 0.5, the significance level p-  
value = 0.000 in Bartlett’s test. The extraction coefficient 2.269 with the cumulative% of 75,645%  
gives a single factor named “decision to buy safe food” (QDMTPAT) with the load factors of the  
ingredient variables respectively 0.897, 0.875, 0.836.  
4.4. Research hypothesis test results  
Regression analysis is a widely-used and popular method in studying the dependency re-  
lationship between the dependent variables and the independent variable. The regression method  
was applied by putting all variables at the same time. In the regression model, to evaluate the  
suitability of the model that the independent variables explain how many percent of the variation  
of the dependent variable, the researchers use the adjusted R2 coefficient. Specifically, in this  
study, the authors used linear regression analysis with five independent variables: advertising  
(QC), sales promotion (XTB), direct marketing (DM), public relations (PR), and personal selling  
(BHCN) with one dependent variable is “decision to buy sustainable food” (QDMTPAT).  
Table 5: Table of results of linear regression analysis  
Model  
R
R Square  
Adjusted R Std. Error Durbin-  
Square  
of the  
Watson  
Estimate  
.528  
1
.730a  
.533  
.51333  
2.050  
ANOVA  
Model  
Sum of Squares  
df  
Mean  
F
Sig.  
Square  
b
1
Regression  
Residual  
Total  
119.937  
104.877  
224.814  
5
23.987  
.264  
91.031 .000  
398  
403  
Model  
Standard-  
ized Coef-  
ficients  
Collinearity  
Statistics  
Unstandardized  
Coefficients  
t
Sig.  
B
Std. Error  
Beta  
Toler- VIF  
ance  
-.587  
.151  
.147  
.474  
.114  
.308  
(Constant)  
XTB  
.207  
.046  
.040  
.052  
.044  
.047  
-2.841  
3.266  
3.671  
9.159  
2.606  
6.510  
.005  
.001  
.000  
.000  
.010  
.000  
.129  
.146  
.393  
.101  
.248  
.751 1.332  
.738 1.355  
.635 1.574  
.782 1.279  
.806 1.241  
QC  
DM  
BHCN  
PR  
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The results of the regression analysis indicated that the adjusted R2 coefficient equaled  
0.528, meaning that the independent variables can explain 52.8% of the variation of the dependent  
variable. The value of the model’s conformity test with the coefficient of F = 91,031 with the co-  
efficient of p-value = 0.000 showed that the model was consistent with the population; or in other  
words, there was at least one independent variable in the model could explain the variation of the  
dependent variable. The VIF magnification factor of the model ranged from 1.241 to 1.574, which  
was less than 2, the tolerance coefficient was so low that it could be concluded that there was no  
sign of the multicollinearity phenomenon and no correlation among the independent variables.  
Table 6. Results of hypothesis testing  
Hypothesis  
Hệ số Beta t-value P-value Hypothesis Conclusion  
.147  
.151  
.474  
.308  
.114  
3.266  
3.671  
9.159  
2.606  
6.510  
.001  
.000  
.000  
.010  
.000  
H1  
H2  
H3  
H4  
H5  
accepted  
accepted  
accepted  
accepted  
accepted  
Advertising g Purchase Decision  
Sales Promotion g Purchase Decision  
Direct Marketing g Purchase Decision  
Public Relations g Purchase Decision  
Personal Selling g Purchase Decison  
From the results of multiple regression analysis, the decision to buy sustainable food of  
Hanoi consumers is influenced by 05 factors including (1) advertising, (2) sales promotion, (3)  
direct marketing, (4) public relations, and (5) personal selling which are related to the dependent  
variable, purchasing decisions, because they both have significant p-value <0.05. As a result, we  
can conclude that the five proposed research hypotheses are accepted.  
These five factors all have positive effects on the decision to buy TPAT, in which direct  
marketing factors have the largest impact with the coefficient b = 0.474 (P-value = 0.000), fol-  
lowed by public relations (b = 0.308, P-value = 0.010). The individual selling variable has the  
lowest impact with the coefficient b = 0.114, p-value = 0.000. Ads and sales promotion factors  
have a slightly larger impact with b = 0.147 and b = 0.151 (p-value <0.05)  
4.5. The analysis of the age as moderator  
To test the hypotheses about whether there is a difference among age groups’ opinions on  
buying sustainable food decision, the authors used the welch test method according to Samuel  
B. Green (2005) and Andy Field (2009) theory and Posthoc in-depth test.  
Table 7: Results of the Levene test and the welch test  
Test of Homogeneity of Variances  
Levene Statistic  
Robust Tests of Equality of Means  
Brown-Forsythe  
df1  
df2  
4
Sig.  
399  
4.242  
.002  
Statistica  
4.752  
df1  
4
df2  
Sig.  
.001  
280.775  
a. Asymptotically F distributed  
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According to Samuel B. Green (2005) and Andy Field (2009), The Levene test showed  
that p-value = 0.02 <0.05 meaning the hypothesis of homogeneous variance between qualitative  
variable value groups was violated. This suggested that the variance between groups of working  
parts was not equal. We could not use the ANOVA table, but we would go into the Welch test for  
the homogeneous variance assumption violation. Accordingly, welch test results with p-value =  
0.01 <0.05 could conclude there was a statistically significant difference in the purchasing deci-  
sion variable among different age groups. In other words, hypothesis H6 is accepted.  
Table 8: The mean value of the age variable  
Age Group  
Under 25  
N
Mean  
Std. Deviation  
0.883  
133  
132  
65  
3.4862  
3.4621  
3.8564  
3.3778  
3.4091  
From 25 to <35  
From 35 to < 45  
From 45 to 55  
Above 55  
.78978  
.77782  
30  
.59794  
Posthoc  
results  
Table 9:  
Posthoc  
analysis  
44  
.65935  
Total  
404  
.65833  
Table 9: Posthoc analysis results  
Multiple Comparisons Dependent Variable: QD Dunnett T3  
(I) Age  
(J) Age  
Mean Differ- Std. Error  
ence (I-J)  
Sig.  
95% Confidence Interval  
Lower Bound Upper Bound  
Under 25  
From 25 to <3 5  
From 35 to < 45  
From 45 to 55  
Above 55  
.02409  
-.37019*  
.10844  
.09630  
.10095  
.13850  
.12058  
.09630  
.10042  
.13811  
.12014  
.10095  
.10042  
.14139  
.12390  
.13850  
.13811  
.14139  
.15602  
.12058  
.12014  
.12390  
.15602  
1.000  
.003  
.996  
.999  
1.000  
.001  
.999  
1.000  
.003  
.001  
.013  
.005  
.996  
.999  
.013  
1.000  
.999  
1.000  
.005  
1.000  
-.2477  
-.6565  
-.2962  
-.2687  
-.2959  
-.6791  
-.3193  
-.2917  
.0839  
.2959  
-.0839  
.5131  
.4230  
.2477  
-.1094  
.4880  
.3977  
.6565  
.6791  
.8910  
.8028  
.2962  
.3193  
-.0663  
.4206  
.2687  
.2917  
-.0919  
.4832  
.07712  
From 25 to Under 25  
<35  
-.02409  
-.39429*  
.08434  
From 35 to < 45  
From 45 to 55  
Above 55  
.05303  
From 35 to Under 25  
< 45  
.37019*  
.39429*  
.47863*  
.44732*  
-.10844  
-.08434  
-.47863*  
-.03131  
-.07712  
-.05303  
-.44732*  
.03131  
From 35 to < 45  
From 45 to 55  
Above 55  
.1094  
.0663  
.0919  
From 45 to Under 25  
55  
-.5131  
-.4880  
-.8910  
-.4832  
-.4230  
-.3977  
-.8028  
-.4206  
From 35 to < 45  
From 45 to 55  
Above 55  
Above 55  
Under 25  
From 35 to < 45  
From 45 to 55  
Above 55  
*. The mean difference is significant at the 0.05 level.  
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The table of descriptive statistics and PostHoc results indicate that the age group from 35  
to 45 (mean = 3.8564) has a statistically significant difference with the other age groups which  
have small p-value coefficients of less than 0.05. (under 25 group (sig = 0.003, mean = 3.4862),  
from 25 to under 35 (sig = 0.001; mean = 3.4621), from 45 to 55 (p-value = 0.013, mean = 3.3778)  
and over 55 years old (p-value = 0.005, mean = 3.4091). In conclusion, the age group from 35 to  
<45 will have a higher likeliness of buying decision than the rest.  
5. Conclusion  
This study aims to accomplish two goals: to evaluate the impact of marketing communi-  
cations of operated by retailers on consumers’ purchase decisions toward sustainable food, and  
to evaluate the impact of age as a moderator variable. The research has shown that there is a pos-  
itive impact of marketing communication variables involvingadvertising, sales promotion, direct  
marketing, personal sales, and public relations on purchase decisions of consumers in Hanoi. The  
conclusions drawn from the study completely coincide with some previous studies including  
Malik et al., (2013), Mahmud et al. (2014), Huong (2017), Xanat and Han (2016), Krnáčová and  
Závodský (2018), Boztepe (2012), Banyte et al. (2010), Hill, Provost and Volinsky (2006), Prins  
and Verhoef (2007), Risselada et al. (2014) and (Oladipo, 2019). The research has also shown  
that there are differences in purchase decision among age groups. Specifically, consumers from  
35 to 45 proved to be much more willing to buy sustainable food than the remaining age groups.  
This also coincides with Yin et al. (2009). This can be a result of relatively stable incomes and  
good positions in their career in that age group. In term of demographic, they are also mostly  
married, have two or more children; therefore, their awareness and needs for organic food are  
often higher than the other age groups, especially the unstable income group and the price-sen-  
sitive elderly group.  
In particular, the research results have shown that the variable of Direct Marketing has the  
greatest impact on people’s decision to buy safe food with the coefficient = 0.474. This shows  
the role and growing position of direct marketing tools for consumers. This trend can be a con-  
sequence of the growing internet and retail businesses applying digital technology to their busi-  
ness activities. In particular, customers highly appreciate direct marketing as a way to get all the  
information they need (average score of 3.6). They can easily get information about safe food  
via email, Facebook’s mobile phone or text message (mean = 3.51), or direct marketing tools  
used by retailers to keep customers up-to-date on sustainable food (mean = 3.45). Sustainable  
consumers are mainly educated people with high income, so they tend to focus on information  
exchanged directly with sellers to make real consumption decisions for this product.  
Followed by direct marketing, the public relations variable has a moderate impact on the  
purchasing decisions of Hanoi consumers. In particular, the retailer’s activities to help customers  
increase their level of knowledge and awareness about the company and sustainable products are  
the most important thing that customers value (mean = 3.61). Sincere response to feedback, spe-  
cial events, and charitable activities that retailers participate in are also highly appreciated (3.51)  
(3.41). The lowest variable is if retail businesses handle urgent issues sincerely at the right time  
(mean = 3.10). This information shows that the role of providing full information related to prod-  
ucts, origin as well as building business image is playing an increasingly high role for consumers  
that buy sustainable food in particular and organic food in general.  
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The personal selling variable has the smallest impact on the purchase decision. Customers  
always appreciate the willingness to support the sales staff (3.79) and require them to have pro-  
fessional attitudes when performing sales activities (3.61). The availability of sale person was  
assessed as less important with an average score of 3.41, and the least significant is the methodical  
training with a 3.35 score. Personal selling has the weakest impact on buying decisions for two  
reasons. Firstly, sales teams of sustainable food retailers are usually not well trained, and their  
skills to solve problems at the store for customers are still very weak. From time to time, they  
may show bad attitude while selling products, such as being indifferent to customers entering the  
store, misunderstanding the origin and characteristics of other foods, providing contradictory ad-  
vice to customers. The second reason is the customers themselves. Before going to the sustainable  
food store, they have already thoroughly researched through detailed product introduction articles,  
or they go to the store simply because of the trust factor.  
From the above conclusion, it implies that retail stores need to pay more attention to direct  
marketing and public relations tools and develop them as strategic tools to attract and encourage  
customers to consume more sustainable products. There is a need to enhance activities of personal  
selling and direct marketing through online channels such as Facebook messaging, Zalo, mobile  
application software. Enterprises need to keep detailed records with updated names, addresses,  
phone numbers, Facebook accounts, delivery addresses, a convenient time for customers to re-  
ceive goods, and their habits when buying goods. There should be details about their purchasing  
volume, types of purchases, payment methods, benefits they seek. From that information, com-  
panies can develop a more proactive approach to customers, introducing new products, new cat-  
egories, answer customers’ questions better, and proactively contact customers to evaluate from  
their side about the transactions performed. Managers should pay attention to customer satisfac-  
tion by storing customer addresses and contact phone numbers to avoid customers having to type  
too many times when ordering. Customers in the age groups of 35-45, who are shown to make  
more buying decisions than the rest of the customer groups, should be the focus. Besides, it is  
also necessary to focus on exploiting online advertising tools, diversifying PR articles with more  
topics from product information, origin to the synchronization in website design, or fan page  
with the brand identity system to increase the awareness and understanding of customers about  
the store as well as sustainable products. Phone advertising channels can even be developed with  
the development of shopping applications so that modern customers can be more convenient in  
choosing and buying safe products. Moreover, it is necessary to pay attention to the training of  
staff at the store, especially the ability to advise on products, to help customers distinguish dif-  
ferent types of food and what sustainable food is. They should also invest in images and costumes  
for employees to enhance customers’ shopping experience, and improve service attitude and en-  
thusiasm to help customers at the store. Businesses need to diversify promotional activities such  
as increasing the number of gifts or discounting rates for loyal customers, create more price bun-  
dles such as developing more combos to encourage customers to purchase more goods, increase  
promotion activities at the point of sale to influence the decision-making process of instore cus-  
tomers, especially the elderly group.  
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