A preliminary quantitative study was conducted to assess the reliability and validity of the designed and adjusted scales to suit the conditions in Vietnam. The thesis used a preliminary questionnaire for 100 samples, selected by random sampling method and conducted in March 2017.
The official research was also conducted by the author using a convenient random sampling method, with 570 bank credit officers directly participating in collecting information to serve the bank's lending decisions for SMEs. The research was conducted in 04 provinces of the Northwest sub-region: Hoa Binh, Son La, Dien Bien, Lai Chau.
The research order of the thesis is as follows:
Table 3.1. Research implementation sequence
Steps
Content of implementation | |
1. Build a preliminary scale | - Through the process of theoretical overview and research overview, choose a suitable scale for the variables. - Results: There are 10 hard information factors and 05 soft information factors. included in the research model. |
- Validity | |
* Conduct discussions and in-depth interviews (semi-structured questionnaire) with 10 CBTD, | |
02 bank managers and 08 credit managers directly collect | |
Customer information and credit rating (understanding of bank credit procedures) | |
goods) to ensure the filtering of key influencing factors => Adjust | |
scale to suit Vietnamese practice. | |
2. Evaluation | - Results: 8 key influencing factor groups were distilled and included in the model. |
scale through | Figure, divided into 52 observed variables. Complete the questionnaire survey |
interview | 1st time. Continue to test survey 20 CBTD to ensure the questionnaire is easy to use. |
deep and survey | understand, before conducting a preliminary survey |
preliminary | - Preliminary survey of 100 credit officers directly lending to SMEs |
* Testing the reliability of the scale, EFA factor analysis | |
* For each variable, it is necessary to ensure that the Cronbach's Alpha index is > 0.3 and less. | |
total Cronbach's Alpha value. | |
* If not sure, review steps (1) overview of the scale, (2) | |
translation, (3) expert discussion, (4) removal of some irrelevant indicators. | |
- Results: Complete the second survey for official survey |
Maybe you are interested!
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Mobile Phone Usage in Hanoi Inner City Area
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- Test the relationship between demographic variables and consumer behavior for Mobile Marketing activities
The analysis method used is the Chi-square test (χ2), with statistical hypotheses H0 and H1 and significance level α = 0.05. In case the P index (p-value) or Sig. index in SPSS has a value less than or equal to the significance level α, the hypothesis H0 is rejected and vice versa. With this testing procedure, the study can evaluate the difference in behavioral trends between demographic groups.
CHAPTER 4
RESEARCH RESULTS
During two months, 1,100 survey questionnaires were distributed to mobile phone users in the inner city of Hanoi using various methods such as direct interviews, sending via email or using questionnaires designed on the Internet. At the end of the survey, after checking and eliminating erroneous questionnaires, the study collected 858 complete questionnaires, equivalent to a rate of about 78%. In addition, the research subjects of the thesis are only people who are using mobile phones, so people who do not use mobile phones are not within the scope of the thesis, therefore, the questionnaires with the option of not using mobile phones were excluded from the scope of analysis. The number of suitable survey questionnaires included in the statistical analysis was 835.
4.1 Demographic characteristics of the sample
The structure of the survey sample is divided and statistically analyzed according to criteria such as gender, age, occupation, education level and personal income. (Detailed statistical table in Appendix 6)
- Gender structure: Of the 835 completed questionnaires, 49.8% of respondents were male, equivalent to 416 people, and 50.2% were female, equivalent to 419 people. The survey results of the study are completely consistent with the gender ratio in the population structure of Vietnam in general and Hanoi in particular (Male/Female: 49/51).
- Age structure: 36.6% of respondents are <23 years old, equivalent to 306 people. People from 23-34 years old
accounting for the highest proportion: 44.8% equivalent to 374 people, people aged 35-45 and >45 are 70 and 85 people equivalent to 8.4% and 10.2% respectively. Looking at the results of this survey, we can see that the young people - youth account for a large proportion of the total number of people participating in the survey. Meanwhile, the middle-aged people including two age groups of 35 - 45 and >45 have a low rate of participation in the survey. This is completely consistent with the reality when Mobile Marketing is identified as a Marketing service aimed at young people (people under 35 years old).
- Structure by educational level: among 835 valid responses, 541 respondents had university degrees, accounting for the highest proportion of ~ 75%, 102 had secondary school degrees, ~ 13.1%, and 93 had post-graduate degrees, ~ 11.9%.
- Occupational structure: office workers and civil servants are the group with the highest rate of participation with 39.4%, followed by students with 36.6%. Self-employed people account for 12%, retired housewives are 7.8% and other occupational groups account for 4.2%. The survey results show that the student group has the same rate as the group aged <23 at 36.6%. This shows the accuracy of the survey data. In addition, the survey results distributed by occupational criteria have a rate almost similar to the sample division rate in chapter 3. Therefore, it can be concluded that the survey data is suitable for use in analysis activities.
- Income structure: the group with income from 3 to 5 million has the highest rate with 39% of the total number of respondents. This is consistent with the income structure of Hanoi people and corresponds to the average income of the group of civil servants and office workers. Those
People with no income account for 23%, income under 3 million VND accounts for 13% and income over 5 million VND accounts for 25%.
4.2 Mobile phone usage in Hanoi inner city area
According to the survey results, most respondents said they had used the phone for more than 1 year, specifically: 68.4% used mobile phones from 4 to 10 years, 23.2% used from 1 to 3 years, 7.8% used for more than 10 years. Those who used mobile phones for less than 1 year accounted for only a very small proportion of ~ 0.6%. (Table 4.1)
Table 4.1: Time spent using mobile phones
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Alid
<1 year
5
.6
.6
.6
1-3 years
194
23.2
23.2
23.8
4-10 years
571
68.4
68.4
92.2
>10 years
65
7.8
7.8
100.0
Total
835
100.0
100.0
The survey indexes on the time of using mobile phones of consumers in the inner city of Hanoi are very impressive for a developing country like Vietnam and also prove that Vietnamese consumers have a lot of experience using this high-tech device. Moreover, with the majority of consumers surveyed having a relatively long time of use (4-10 years), it partly proves that mobile phones have become an important and essential item in people's daily lives.
When asked about the mobile phone network they are using, 31% of respondents said they are using the network of Vietel company, 29% use the network of
of Mobifone company, 27% use Vinaphone company's network and 13% use networks of other providers such as E-VN telecom, S-fone, Beeline, Vietnammobile. (Figure 4.1).
Figure 4.1: Mobile phone network in use
Compared with the announced market share of mobile telecommunications service providers in Vietnam (Vietel: 36%, Mobifone: 29%, Vinaphone: 28%, the remaining networks: 7%), we see that the survey results do not have many differences. However, the statistics show that there is a difference in the market share of other networks because the Hanoi market is one of the two main markets of small networks, so their market share in this area will certainly be higher than that of the whole country.
According to a report by NielsenMobile (2009) [8], the number of prepaid mobile phone subscribers in Hanoi accounts for 95% of the total number of subscribers, however, the results of this survey show that the percentage of prepaid subscribers has decreased by more than 20%, only at 70.8%. On the contrary, the number of postpaid subscribers tends to increase from 5% in 2009 to 19.2%. Those who are simultaneously using both types of subscriptions account for 10%. (Table 4.2).
Table 4.2: Types of mobile phone subscribers
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Prepay
591
70.8
70.8
70.8
Pay later
160
19.2
19.2
89.9
Both of the above
84
10.1
10.1
100.0
Total
835
100.0
100.0
The above figures show the change in the psychology and consumption habits of Vietnamese consumers towards mobile telecommunications services, when the use of prepaid subscriptions and junk SIMs is replaced by the use of two types of subscriptions for different purposes and needs or switching to postpaid subscriptions to enjoy better customer care services.
In addition, the majority of respondents have an average spending level for mobile phone services from 100 to 300 thousand VND (406 ~ 48.6% of total respondents). The high spending level (> 500 thousand VND) is the spending level with the lowest number of people with only 8.4%, on the contrary, the low spending level (under 100 thousand VND) accounts for the second highest proportion among the groups of respondents with 25.4%. People with low spending levels mainly fall into the group of students and retirees/housewives - those who have little need to use or mainly use promotional SIM cards. (Table 4.3).
Table 4.3: Spending on mobile phone charges
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<100,000
212
25.4
25.4
25.4
100-300,000
406
48.6
48.6
74.0
300,000-500,000
147
17.6
17.6
91.6
>500,000
70
8.4
8.4
100.0
Total
835
100.0
100.0
The statistics in Table 4.3 are similar to the percentages in the NielsenMobile survey results (2009) with 73% of mobile phone users having medium spending levels and only 13% having high spending levels.
The survey results also showed that up to 31% ~ nearly one-third of respondents said they sent more than 10 SMS messages/day, meaning that on average they sent 1 SMS message for every working hour. Those with an average SMS message volume (from 3 to 10 messages/day) accounted for 51.1% and those with a low SMS message volume (less than 3 messages/day) accounted for 17%. (Table 4.4)
Table 4.4: Number of SMS messages sent per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
142
17.0
17.0
17.0
3-10 news
427
51.1
51.1
68.1
>10 news
266
31.9
31.9
100.0
Total
835
100.0
100.0
Similar to sending messages, those with an average message receiving rate (from 3-10 messages/day) accounted for the highest percentage of ~ 55%, followed by those with a high number of messages (over 10 messages/day) ~ 24% and those with a low number of messages received daily (under 3 messages/day) remained at the bottom with 21%. (Table 4.5)
Table 4.5: Number of SMS messages received per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
175
21.0
21.0
21.0
3-10 news
436
55.0
55.0
76.0
>10 news
197
24.0
24.0
100.0
Total
835
100.0
100.0
When comparing the data of the two result tables 4.4 and 4.5, we can see the reasonableness between the ratio of the number of messages sent and the number of messages received daily by the interview participants.
4.3 Current status of SMS advertising and Mobile Marketing
According to the interview results, in the 3 months from the time of the survey and before, 94% of respondents, equivalent to 785 people, said they received advertising messages, while only a very small percentage of 6% (only 50 people) did not receive advertising messages (Table 4.6).
Table 4.6: Percentage of people receiving advertising messages in the last 3 months
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Have
785
94.0
94.0
94.0
Are not
50
6.0
6.0
100.0
Total
835
100.0
100.0
The results of Table 4.6 show that consumers in the inner city of Hanoi are very familiar with advertising messages. This result is also the basis for assessing the knowledge, experience and understanding of the respondents in the interview. This is also one of the important factors determining the accuracy of the survey results.
In addition, most respondents said they had received promotional messages, but only 24% of them had ever taken the action of registering to receive promotional messages, while 76% of the remaining respondents did not register to receive promotional messages but still received promotional messages every day. This is the first sign indicating the weaknesses and shortcomings of lax management of this activity in Vietnam. (Table 4.7)
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Survey Subjects in Qualitative Research -
Research Methods and Research Subjects -
Theoretical Basis of Customer Satisfaction and Proposed Research Model -
In terms of space, the research topic is the relationship between two subjects in the Asia-Pacific region, the United States and Vietnam, on the economic level.

Steps
Content of implementation | |
3. Formal quantitative research | - Select 570 random CBTD samples to distribute questionnaires and collect data. - Distribute survey forms according to the proportion of SMEs in 04 provinces: 38% Hoa Binh; 26% Son La; 20% Dien Bien; 16% Lai Chau. - Collect and screen ballots, code variables, and enter data into SPSS. |
4. Data analysis | - Use SPSS20 software to analyze descriptive statistics, frequency statistics, and evaluate the reliability of the official scale Cronbach's alpha. - Correlation analysis tests the relationship between independent variables and dependent variables. - Binary Logistic regression testing of factors affecting lending decisions. - Test the model's suitability and predictive ability. |
5. Results and solutions | - Confirm acceptance/rejection of initial research hypotheses. - Answer the research objectives. - Compare and contrast research results with existing overviews. - Explain the results in relation to the practice of commercial banks and SMEs in the Northwest sub-region. - Propose solutions. |
Source: Author's research
The scale construction process in this study is based on the process proposed by Churchuil (1979). The scale is built based on an overview of research related to factors affecting the credit decision-making process of commercial banks. After building a draft scale for 15 influencing factors, the author used the method of in-depth interviews with 10 CBTDs, 10 managers and directly participated in collecting credit rating information of SME customers in the Northwest sub-region, then the author adjusted the draft scale and observed variables to suit the context of the Northwest sub-region.
Through the results of qualitative research, the draft scale was adjusted to a preliminary scale and was tested with a preliminary sample of 100 credit officers of the Northwest sub-regional bank. The response rate was 100% of the collected questionnaires to ensure reliability (0 error questionnaires), originating from the author himself who conducted the survey directly, based on the relationships of students of the Master's class in Finance - Banking, currently holding leadership positions in commercial banks in the Northwest region. By software
SPSS20, the preliminary scale is adjusted according to: Cronbach's alpha reliability coefficient >0.3 and EFA exploratory factor analysis. Cronbach's alpha coefficient is used first to eliminate inappropriate variables. Observed variables with correlation coefficients between variables and totals below 0.3 will be eliminated (Nunnally et al, 1994). Then, observed variables with factor loading weights less than 0.4 in EFA will continue to be eliminated (Gerbing et al, 1988) and the total variance extracted (>=50%) will be checked. The remaining variables become the complete scale used for official quantitative research.
The official quantitative research used SPSS20 to test the appropriate scale of the model, test the reliability of the model, test the initial hypotheses and the predictive level of the research model.
3.2. Qualitative research
3.2.1. Objectives of qualitative research
Qualitative research is useful in cases where problems are difficult to express in numerical form, or require in-depth research on each research subject. Or when researchers apply models and measures based on theories and studies conducted in different countries, but are the research models and measures suitable for the research context? (Nguyen Dinh Tho, 2013)
The main objective of the qualitative research in the thesis is to distill the factors affecting the lending decisions of commercial banks to SMEs collected by the author in the research overview and to explore new factors related to the practical context of commercial banks and SMEs in the Northwest sub-region of Vietnam, to collect information to make lending decisions of credit officers. Therefore, the author conducted in-depth interviews with practical experts, to initially test the suitability of the research model and the influencing factors selected to be included in the research model.
Thus, the specific objectives of qualitative research are:
First , identify the types of information needed to collect for the process.
make lending decisions.
Second , credit officers assess which type of information has a more important influence on the decision to lend/reject loans to SMEs.
3.2.2. Subjects and methods of qualitative research
To achieve the above goal, the author conducted semi-structured interviews with a group of 20 people, including 2 Deputy Directors of BIDV Bank in Son La province.
La and Viettinbank Hoa Binh province, 08 people are credit department heads, 10 people are CBTD of Agribank, Lien Viet Post Bank, ABbank, MBbank, BIDV, Vietinbank, Vietcombank .... To ensure the representativeness of random interview sampling, the author evenly selected 4-5 people/province of the Northwest sub-region.
Among them, credit officers were carefully selected to ensure representativeness based on a number of criteria: number of years of working in the field of corporate customer credit, credit officers who have directly collected data and assessed customers' credit ratings.
Due to the nature of staff rotation between departments in commercial banks to minimize ethical risks in banking operations, current credit officers or employees (Customer Relations, Risk Control, etc.) who have experience working in credit risk management departments have valuable opinions in credit analysis and credit rating of individual and corporate customers, so choosing to conduct in-depth interviews with this group of subjects does not change the research results.
To make the in-depth interview results valuable, the author used the existing relationships with bank leaders, CBTD who were students of the Master's class K20 in Finance - Banking 2011-2013 at Tay Bac University, and are currently heads of departments in the bank. Based on the existing relationships, the 20 interviewees were willing to cooperate, meet at home or at a cafe, willing to share content related to the process of collecting, processing, and rating corporate customers' credit, as well as boldly adding related personal opinions.
The tool for qualitative research is in-depth interviews. To collect accurate and complete data, the author designed in-depth interview questions (Appendix) and used these open-ended questions to identify factors that influence the credit decision-making process of commercial banks. Questions in the in-depth interview revolve around the following issues:
- Are the factors affecting credit decisions in the global research overview consistent with the reality at Vietnamese commercial banks?
- In the process of collecting credit rating information of SME customers at commercial banks in the Northwest sub-region, what types of information will credit officers collect?
- Among the information collected about SMEs in the Northwest sub-region, which type of information is given priority in the process of making decisions on lending or refusing to lend?
- General assessment of the current situation of local SMEs? Is it easy to access bank loans? What are the reasons why it is difficult for businesses to borrow from banks?
- Comment on the issue: if a business has a good relationship with a government official or a relationship with a bank, does it affect the probability of getting a bank loan?
The interviews were mostly conducted at home after calling to introduce and agree on the time and location (11/20 subjects were willing to be interviewed at home, between 6pm and 8pm; 6/20 subjects were interviewed in their private offices during office hours; the remaining 3/20 subjects were interviewed at a quiet cafe). During the interviews, some bank leaders were not willing to let the interviewer record for various reasons (they were afraid, they had a regulation on speaking in the business, etc.). Therefore, the content of these interviews was fully recorded. The technique used for the interviews in this stage was in-depth interviews through open-ended questions. Based on the results of each person's answers, the author continued to ask questions to clearly exploit the potential attributes that influence the lending decisions of commercial banks to SMEs. The answers from the practical experts will suggest further research contents, supplement useful information in the assessment of SME ratings, contribute to explaining the quantitative research results and propose appropriate recommendations. The notes from the interviews were recorded and compared to find similarities and differences, and draw conclusions on the list of attributes that affect lending decisions.
3.2.3. Qualitative research results
Based on the overview of the literature on information serving the decision-making process for lending to SMEs, the author has proposed two groups of information: hard information and soft information, including 15 factors obtained from the interviewed subjects.
Through synthesizing the results of in-depth interviews with 10 subjects, the following results were obtained:
Firstly , 100% of credit officers agreed that as long as customers satisfy the basic criteria: having a legitimate loan purpose, not being prohibited or restricted from credit granting according to the law, not exceeding the lending limit according to the industry structure, they are able to access bank loans. At the same time, those 15 guiding factors were developed by the interviewees into 52 necessary information attributes based on the actual operations of the bank, the feelings and experiences of the interviewees in the process of lending to SMEs.
“…According to management experience and direct practice related to the corporate customer credit department, BIDV Bank does not first classify SMEs according to the criteria of Vietnamese enterprise law or the World Bank, but has criteria for evaluating and classifying enterprise scale based on each type of business.
or form of ownership. Second, the 15 factors given are all factors that credit officers need to collect and are the basis for classifying businesses according to the internal customer credit rating regulations. Third, it is difficult to divide into qualitative and directional or financial and non-financial, depending on the assessment point of view of the credit officer who directly collects customer information... there are many relationships in life, so sometimes credit officers do not impose compliance with credit procedures or internal credit ratings... there are many special cases of customers such as businesses with good relationships with the government, which are given priority in terms of interest rates, exemptions from collateral, loans greater than prescribed, or other procedures are reduced to create favorable conditions for businesses"
Nguyen The Dung - Director of BIDV Son La branch
“…There are many special cases! Enterprises only need to have good relationships with the government, provincial party committee or bank board of directors to be supported a lot in other appraisal procedures for quick disbursement, not to mention business efficiency or debt repayment ability.... Speaking of SMEs today, the Government's policy is like that and cannot change much, because following the trend of global recession, lending to SMEs is very risky, so the most important thing is to have collateral such as land before discussing business plans, if there is no collateral and no relationships, then 100% of loans will not be disbursed.”
Nguyen Quoc Hung - Director of Vietinbank Hoa Binh province branch
“…The above criteria are all important, but the most important is the financial situation of the business, because almost 100% of them are small businesses, so the understanding of the business owner or business prospects… are all weak, there is no management experience as well as understanding of market developments… so lending is very risky, only when there is a special relationship or collateral such as land can one borrow money from the bank…”
Ta Lan Huong - Credit Officer BIDV Son La Branch
“…According to him, the current internal lending regulations of Vietinbank and other commercial banks highly value the role of non-financial information, but in reality, businesses or individual customers must have collateral and a good relationship with the bank to be able to receive a loan… banks would rather let money die in one place than lend at risk without collateral…”
Nguyen Van Tho - Head of Credit Department, Vietinbank, Son La Province Branch
“…your bank also uses the above 15 criteria to score customers’ credit, the weight of non-financial criteria is always evaluated higher in the process of synthesizing credit scores… the strict credit process goes through many departments and objective controls, so as long as the loan purpose is legal, then consider that it is not in cases restricted by law, does not exceed the lending limit according to the industry structure, has good financial status and has collateral, then the loan is definitely approved…”
Bui Huy Quyen - Credit Officer of LienVietPostBank, Hoa Binh Province Branch
“…I think the 15 criteria above are not enough compared to the lending regulations issued internally by MBank. However, the criteria above are very important and I emphasize the financial factor of a healthy business, especially the audited financial statements are highly appreciated and make it easier to get loans…”
Nguyen Thi Lan - Credit Officer, MBank, Hoa Binh Province Branch
“…Many startups have very good and unique ideas, feasible and effective business plans implemented by capable young people. However, they do not have good social relationships, and do not have collateral, so banks do not dare to invest capital…”
Nguyen Van Lam - Credit Officer of Agribank, Dien Bien Province Branch
“…although ABBank’s credit granting process is very strict and rigorous, the decision to grant a loan or not depends largely on the credit appraisal officer himself. There will be advice and guidance for customers on how to access bank loans. So it is difficult to say that businesses have difficulty borrowing, but it is also easy to say that they have easy borrowing…”
Nguyen Thi Thu Hien - Credit Officer, ABBank, Dien Bien Province Branch
“…when considering whether to lend to a customer or not, the first thing to consider is the legal status and legal purpose of the loan, followed by a feasible business plan, financial situation and finally the collateral. If the business has a feasible business plan, the bank is willing to lend on credit, without collateral, but in return the bank will increase the loan interest rate…”
Nguyen Van Dong - Credit Officer of Agribank, Lai Chau Province Branch
“…in the northwest, all businesses are small, so you can’t expect management experience or audited financial reports, nor do you expect collateral or business forecasts. The most important factor in deciding whether or not to get a loan is whether the business has a good relationship with the government. If the relationship is good, no other factors are needed. If the relationship is not good, then the business certainly does not meet the credit rating criteria, so there is no need to disburse the loan…”
Nguyen Quang Huy - Credit Officer of Vietinbank, Lai Chau branch
Second , the qualitative research results of 10 managers and credit officers of commercial banks in the Northwest sub-region showed that 100% of respondents highly appreciated the role of hard information in collecting customer credit rating information, 40% of respondents mentioned the role of soft information and revealed the relationship network that helps SMEs access bank loans more easily .
The general conclusion after the in-depth interview process shows that the thesis research model is basically suitable for the context and practice of SMEs, there are not many differences in the factors affecting the lending decisions of SME customers of commercial banks in the Northwest sub-region.
After synthesizing and adjusting the model and the first preliminary survey, the author continued to send the survey directly to 20 credit officers at commercial banks in the area to collect feedback from credit officers on the presentation, information quality, and ease of understanding of the questionnaire. Then the author adjusted and completed the scale and the second preliminary survey. This is the practical basis for the author to complete the official survey to conduct the investigation on the total sample.
Thus, after consulting with practical experts on the feasibility assessment of the factors proposed by the author to be included in the initial research model: studying the factors affecting the lending decisions of commercial banks to SME customers in the Northwest sub-region of Vietnam. At the end of the qualitative research process, the author distilled 8 factors that affect the lending decisions of banks: business information factor; financial information factor; collateral information factor; credit history factor; business owner capacity factor; business owner personality factor; social network participation factor; information factor on lending relationship with banks.

![Mobile Phone Usage in Hanoi Inner City Area
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- Test the relationship between demographic variables and consumer behavior for Mobile Marketing activities
The analysis method used is the Chi-square test (χ2), with statistical hypotheses H0 and H1 and significance level α = 0.05. In case the P index (p-value) or Sig. index in SPSS has a value less than or equal to the significance level α, the hypothesis H0 is rejected and vice versa. With this testing procedure, the study can evaluate the difference in behavioral trends between demographic groups.
CHAPTER 4
RESEARCH RESULTS
During two months, 1,100 survey questionnaires were distributed to mobile phone users in the inner city of Hanoi using various methods such as direct interviews, sending via email or using questionnaires designed on the Internet. At the end of the survey, after checking and eliminating erroneous questionnaires, the study collected 858 complete questionnaires, equivalent to a rate of about 78%. In addition, the research subjects of the thesis are only people who are using mobile phones, so people who do not use mobile phones are not within the scope of the thesis, therefore, the questionnaires with the option of not using mobile phones were excluded from the scope of analysis. The number of suitable survey questionnaires included in the statistical analysis was 835.
4.1 Demographic characteristics of the sample
The structure of the survey sample is divided and statistically analyzed according to criteria such as gender, age, occupation, education level and personal income. (Detailed statistical table in Appendix 6)
- Gender structure: Of the 835 completed questionnaires, 49.8% of respondents were male, equivalent to 416 people, and 50.2% were female, equivalent to 419 people. The survey results of the study are completely consistent with the gender ratio in the population structure of Vietnam in general and Hanoi in particular (Male/Female: 49/51).
- Age structure: 36.6% of respondents are <23 years old, equivalent to 306 people. People from 23-34 years old
accounting for the highest proportion: 44.8% equivalent to 374 people, people aged 35-45 and >45 are 70 and 85 people equivalent to 8.4% and 10.2% respectively. Looking at the results of this survey, we can see that the young people - youth account for a large proportion of the total number of people participating in the survey. Meanwhile, the middle-aged people including two age groups of 35 - 45 and >45 have a low rate of participation in the survey. This is completely consistent with the reality when Mobile Marketing is identified as a Marketing service aimed at young people (people under 35 years old).
- Structure by educational level: among 835 valid responses, 541 respondents had university degrees, accounting for the highest proportion of ~ 75%, 102 had secondary school degrees, ~ 13.1%, and 93 had post-graduate degrees, ~ 11.9%.
- Occupational structure: office workers and civil servants are the group with the highest rate of participation with 39.4%, followed by students with 36.6%. Self-employed people account for 12%, retired housewives are 7.8% and other occupational groups account for 4.2%. The survey results show that the student group has the same rate as the group aged <23 at 36.6%. This shows the accuracy of the survey data. In addition, the survey results distributed by occupational criteria have a rate almost similar to the sample division rate in chapter 3. Therefore, it can be concluded that the survey data is suitable for use in analysis activities.
- Income structure: the group with income from 3 to 5 million has the highest rate with 39% of the total number of respondents. This is consistent with the income structure of Hanoi people and corresponds to the average income of the group of civil servants and office workers. Those
People with no income account for 23%, income under 3 million VND accounts for 13% and income over 5 million VND accounts for 25%.
4.2 Mobile phone usage in Hanoi inner city area
According to the survey results, most respondents said they had used the phone for more than 1 year, specifically: 68.4% used mobile phones from 4 to 10 years, 23.2% used from 1 to 3 years, 7.8% used for more than 10 years. Those who used mobile phones for less than 1 year accounted for only a very small proportion of ~ 0.6%. (Table 4.1)
Table 4.1: Time spent using mobile phones
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Alid
<1 year
5
.6
.6
.6
1-3 years
194
23.2
23.2
23.8
4-10 years
571
68.4
68.4
92.2
>10 years
65
7.8
7.8
100.0
Total
835
100.0
100.0
The survey indexes on the time of using mobile phones of consumers in the inner city of Hanoi are very impressive for a developing country like Vietnam and also prove that Vietnamese consumers have a lot of experience using this high-tech device. Moreover, with the majority of consumers surveyed having a relatively long time of use (4-10 years), it partly proves that mobile phones have become an important and essential item in peoples daily lives.
When asked about the mobile phone network they are using, 31% of respondents said they are using the network of Vietel company, 29% use the network of
of Mobifone company, 27% use Vinaphone companys network and 13% use networks of other providers such as E-VN telecom, S-fone, Beeline, Vietnammobile. (Figure 4.1).
Figure 4.1: Mobile phone network in use
Compared with the announced market share of mobile telecommunications service providers in Vietnam (Vietel: 36%, Mobifone: 29%, Vinaphone: 28%, the remaining networks: 7%), we see that the survey results do not have many differences. However, the statistics show that there is a difference in the market share of other networks because the Hanoi market is one of the two main markets of small networks, so their market share in this area will certainly be higher than that of the whole country.
According to a report by NielsenMobile (2009) [8], the number of prepaid mobile phone subscribers in Hanoi accounts for 95% of the total number of subscribers, however, the results of this survey show that the percentage of prepaid subscribers has decreased by more than 20%, only at 70.8%. On the contrary, the number of postpaid subscribers tends to increase from 5% in 2009 to 19.2%. Those who are simultaneously using both types of subscriptions account for 10%. (Table 4.2).
Table 4.2: Types of mobile phone subscribers
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Prepay
591
70.8
70.8
70.8
Pay later
160
19.2
19.2
89.9
Both of the above
84
10.1
10.1
100.0
Total
835
100.0
100.0
The above figures show the change in the psychology and consumption habits of Vietnamese consumers towards mobile telecommunications services, when the use of prepaid subscriptions and junk SIMs is replaced by the use of two types of subscriptions for different purposes and needs or switching to postpaid subscriptions to enjoy better customer care services.
In addition, the majority of respondents have an average spending level for mobile phone services from 100 to 300 thousand VND (406 ~ 48.6% of total respondents). The high spending level (> 500 thousand VND) is the spending level with the lowest number of people with only 8.4%, on the contrary, the low spending level (under 100 thousand VND) accounts for the second highest proportion among the groups of respondents with 25.4%. People with low spending levels mainly fall into the group of students and retirees/housewives - those who have little need to use or mainly use promotional SIM cards. (Table 4.3).
Table 4.3: Spending on mobile phone charges
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<100,000
212
25.4
25.4
25.4
100-300,000
406
48.6
48.6
74.0
300,000-500,000
147
17.6
17.6
91.6
>500,000
70
8.4
8.4
100.0
Total
835
100.0
100.0
The statistics in Table 4.3 are similar to the percentages in the NielsenMobile survey results (2009) with 73% of mobile phone users having medium spending levels and only 13% having high spending levels.
The survey results also showed that up to 31% ~ nearly one-third of respondents said they sent more than 10 SMS messages/day, meaning that on average they sent 1 SMS message for every working hour. Those with an average SMS message volume (from 3 to 10 messages/day) accounted for 51.1% and those with a low SMS message volume (less than 3 messages/day) accounted for 17%. (Table 4.4)
Table 4.4: Number of SMS messages sent per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
142
17.0
17.0
17.0
3-10 news
427
51.1
51.1
68.1
>10 news
266
31.9
31.9
100.0
Total
835
100.0
100.0
Similar to sending messages, those with an average message receiving rate (from 3-10 messages/day) accounted for the highest percentage of ~ 55%, followed by those with a high number of messages (over 10 messages/day) ~ 24% and those with a low number of messages received daily (under 3 messages/day) remained at the bottom with 21%. (Table 4.5)
Table 4.5: Number of SMS messages received per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
175
21.0
21.0
21.0
3-10 news
436
55.0
55.0
76.0
>10 news
197
24.0
24.0
100.0
Total
835
100.0
100.0
When comparing the data of the two result tables 4.4 and 4.5, we can see the reasonableness between the ratio of the number of messages sent and the number of messages received daily by the interview participants.
4.3 Current status of SMS advertising and Mobile Marketing
According to the interview results, in the 3 months from the time of the survey and before, 94% of respondents, equivalent to 785 people, said they received advertising messages, while only a very small percentage of 6% (only 50 people) did not receive advertising messages (Table 4.6).
Table 4.6: Percentage of people receiving advertising messages in the last 3 months
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Have
785
94.0
94.0
94.0
Are not
50
6.0
6.0
100.0
Total
835
100.0
100.0
The results of Table 4.6 show that consumers in the inner city of Hanoi are very familiar with advertising messages. This result is also the basis for assessing the knowledge, experience and understanding of the respondents in the interview. This is also one of the important factors determining the accuracy of the survey results.
In addition, most respondents said they had received promotional messages, but only 24% of them had ever taken the action of registering to receive promotional messages, while 76% of the remaining respondents did not register to receive promotional messages but still received promotional messages every day. This is the first sign indicating the weaknesses and shortcomings of lax management of this activity in Vietnam. (Table 4.7)
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