Table 3.4: Corporate Reputation Scale
Encryption
Original scale | Adjustable scale | Source | |
CR1 | Customers are always aware that my company sells products. high quality | Tourists recognize your company as a quality tour seller. quantity | Taghian et al. (2015); Expert Interview |
CR2 | Customers know my company is creative. | Tourists recognize the company You are always creative in your tours. | |
CR3 | Customers know my company offers something unique. | Tourists recognize your company as offering unique tours. | |
CR4 | Customers know our company as a leader in this industry. | Tourists, authorities and local people at the tourist destination know your company's brand in the tourism industry. calendar | |
CR5 | Customers know my company is a socially responsible company. | Tourists, authorities and local people at the tourist destination always know your company. social responsibility |
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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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The relationship between social responsibility, green marketing strategy, corporate reputation and business performance - Research on tourism and travel businesses in Ho Chi Minh City - 24 -
The relationship between social responsibility, green marketing strategy, corporate reputation and business performance: a study of tourism and travel businesses in Ho Chi Minh City - 20 -
Survey Area Characteristics and Interview Sample -
Characteristics of Business Activities and Business Management Organization at Small and Medium Enterprises in Vietnam
Source: Adapted from author's qualitative research
3.2.2.4. Business Performance (BP) scale
Based on the studies of Bou-llusar et al. (2009), Fraj et al. (2012) to build a scale for business results factors with stakeholders including: customer results, human results (employees), social results and core operating results. Inheriting from this scale, through qualitative research, the thesis has adjusted it to suit the practical operations of Vietnamese travel and tourism businesses (Appendix 1).
Table 3.5: Business Performance Scale
Encryption
Original scale | Adjustable scale | Source | ||
PB1 | Customer results | Customer satisfaction | Tourists are very satisfied with your company's tour. | Bou-llusar et al. (2009); Fraj et al. (2012); Expert Interview |
PB2 | Improved customer relationships good | Your company has built good relationships with tourists. guest. | ||
PB3 | Customer complaints decreased | Tourists rarely complain about your company's service. | ||
PB4 | Key performance results | Revenue increased | Your company's revenue growth rate has increased over the past year. | |
PB5 | Company profit | Your company's profit growth rate has increased over the last year | ||
PB6 | Improved market share | Your company has had an increase in market share over the past year. | ||
PB7 | Employee Results | Employee motivation and commitment | Employees work long term and are committed to your company. | |
PB8 | Employees share values with the company | Employees contribute a lot of value to your company. | ||
PB9 | Social outcomes | Company with positive impact in society | Do you feel that your company is increasingly recognized by the community for its Contribution to society | |
PB10 | Improved environmental protection | How do you feel about your company? We are increasingly increasing the protection of the destination environment. |
Source: Adapted from author's qualitative research
The customer outcome scale is an important measure of the service quality of travel and tourism businesses, the main factor in increasing market share and generating revenue and profit. The main operating results will ensure that businesses achieve financial goals, helping to maintain and stabilize the operation process. For the employee outcome scale, it will bring many benefits in exploiting the tangible and intangible resources of the business, contributing to improving the quality of service for tourists. The final scale, social outcome, focuses on measuring the perception of the business itself towards the community.
Through in-depth interviews with experts (Appendix 1), the scale was semantically adjusted and supplemented, specifically:
- “Socially recognized enterprise” should be added to measure business results. Therefore, the statement “The company has a positive impact on society” should be adjusted to “I feel that my company is increasingly recognized by the community for its contributions to society”.
After adjustment, the business performance factor scale is shown in Table 3.5.
CHAPTER 3 SUMMARY
Chapter 3 presented the research process, testing methods and values to be achieved when processing data. This chapter also presented the original scales, qualitative research results to adjust the scales and proposed official scales for research concepts . At the end of chapter 3, a questionnaire for quantitative survey was proposed. The next chapter will present the research results and discuss the research results.
CHAPTER 4: RESEARCH RESULTS
Chapter 4 will present data collection, describe the characteristics of the survey sample and conduct necessary tests to evaluate the model and hypotheses proposed in Chapter 2. The steps of data analysis will be carried out sequentially, including assessing the reliability of the scale through the Cronbach's Alpha index; assessing the value of the scale using exploratory factor analysis (EFA); Testing the suitability of the measurement model using confirmatory factor analysis (CFA); Testing the theoretical model using linear structural modeling (SEM); Analyzing multi-group structures to find out the differences in research results with some characteristics of the survey sample.
4.1. Description of research sample Survey subjects
It is very important to identify the subjects to answer the survey. This study deals with the social responsibility activities carried out by the enterprise, the enterprise's marketing strategy, and business results, so it requires the respondents to be knowledgeable about the above issues and have the right to participate and decide the development direction of the enterprise. If the wrong subjects are chosen, the answers will not be as expected to be achieved by the study.
In particular, in the context of the research in the tourism service industry, which is an intangible product, the variables measuring business results need to be objective and include awareness (Reichel and Haber, 2005). According to Galbreath and Shum (2012), Zhu et al. (2014), Bai and Chang (2015), to ensure consistency in perception from all perspectives when measuring business results associated with stakeholders, it is necessary to survey business administrators. Therefore, the selected survey subjects must be middle and senior business administrators (board of directors; board of directors, heads and deputy heads of sales departments, tour management team leaders in the markets).
Sample size
When analyzing data using the SEM linear structural model, a large enough sample size is required to ensure the reliability of the estimate. However, there are many different views on determining the sample size. According to Hair (1998), if using the maximum likelihood estimation method, the minimum sample size is from 100 to 150 and the sample size must be considered in relation to the number of estimated parameters (observed variables). Bolen (1989) calculated the sample size proportionally, which means that there must be at least five observations per estimated parameter.
In this thesis, with the characteristics of time and budget of data collection, the study should be based on Bolen's basis to determine the sample size. Chapter 3 has determined the model including four research concepts with 42 observation parameters, so there must be at least 210 samples. The thesis also aims for a large sample size to reduce sampling errors. However, the survey subjects are identified as quite difficult to access, so to achieve a large sample size, great efforts must be made during the survey process.
Survey method
Due to the difficulty in accessing the sample, the study used the quota sampling method, with the direct interview method. The list of travel and tourism businesses in Ho Chi Minh City was collected based on the introduction of many subjects. The author selected a sample with a fairly even number in terms of main business type and business size to be able to analyze multiple groups later. Then, the author contacted and asked for an appointment to interview according to the survey form. The average time for a survey is 20 minutes.
Characteristics of the survey sample
- Regarding the type of business in Figure 4.1, most of the travel service businesses in the survey sample operate as limited liability companies (accounting for 78.4%); only 21.6% of the businesses are joint stock companies. The proportion of the survey sample by type
The enterprise is suitable for the overall sample, because most of the tourism and travel businesses in Ho Chi Minh City are currently of the LLC type.

Figure 4.1: Characteristics of survey sample by business type
Source: According to author's calculation

Figure 4.2: Characteristics of survey sample by main business type
Source: According to author's calculation
- Regarding the main business field characteristics in Figure 4.2, the majority of travel service enterprises in the survey sample have main business activities (main revenue)
from domestic tourism activities (40%) and outbound tourism 1 (38%). There are 22% of businesses in the survey sample whose main travel business activities are inbound tourism activities.
- Regarding the characteristics of enterprise scale, the thesis proactively selected the quota sample based on the number of employees of the enterprise. There are 35% of enterprises with a scale of over 50 people; 41% of enterprises with a scale of 10 to 50 people; 24% of enterprises with a scale of less than 10 people.
Pursuant to Decree No. 56/2009/ND-CP dated June 30, 2009 2 on criteria for determining the level of small and medium enterprises, the survey sample has 24% micro enterprises, 41% small enterprises and 35% medium enterprises, respectively.

Figure 4.3: Characteristics of survey sample by business size
Source: According to author's calculation
1 Inbound tours are travel programs for tourists from abroad to visit and explore the host country.
Outbound tours are international/foreign tours for domestic tourists traveling abroad. Foreigners who are living and working in the host country, if they travel abroad, they are still considered outbound tourists.
Domestic tours are travel programs organized for local tourists to travel within the local territory .
2 The thesis is based on Decree No. 56/2009/ND-CP dated June 30, 2009, not on Decree No. 39/2018/ND- CP dated March 11, 2018 because the process of gathering enterprises and selecting quota samples was determined before the issuance of the new Decree.
From the characteristics of the survey sample, the author found that it is possible to conduct multi-group analysis according to the characteristics of the main business type and business size of the enterprises in the survey sample.
4.2. Research results and discussion of results
4.2.1. Cronbach's Alpha coefficient results - assessing the reliability of the scale
Based on the content in step 2 of the research process, the thesis conducts Cronbach's Alpha scale testing with the selection criteria being a scale with Cronbach's Alpha reliability of 0.6 or higher, variables with a total variable correlation coefficient of less than 0.3 will be eliminated in turn.
The results are shown in Table 4.1:
Table 4.1: Cronbach's alpha results - assessing the reliability of the scale
Observation variable
Scale mean if variable excluded (Scale Mean if Item Deleted) | Scale variance if variable is excluded (Scale Variance if Item Deleted) | Variable-total correlation (Corrected Item - Total Correlation) | Alpha if variable type (CRA if Item Deleted) | |
Corporate Social Responsibility (CSR) | ||||
CSR1 | 27.24 | 56,369 | 0.868 | 0.912 |
CSR2 | 27.21 | 56,204 | 0.770 | 0.919 |
CSR4 | 27.17 | 52,811 | 0.804 | 0.915 |
CSR5 | 27.42 | 51,903 | 0.782 | 0.918 |
CSR6 | 27.03 | 54,193 | 0.765 | 0.919 |
CSR7 | 27.55 | 56,028 | 0.686 | 0.926 |
CSR8 | 27.26 | 52,332 | 0.789 | 0.917 |
Cronbach's alpha | 0.896 | |||
Green Marketing Strategy (GMS) | ||||
GMS1 | 76.75 | 206,602 | 0.777 | 0.953 |
GMS2 | 76.81 | 204,728 | 0.654 | 0.955 |
GMS3 | 76.54 | 204,756 | 0.698 | 0.954 |
GMS4 | 76.76 | 203,851 | 0.740 | 0.953 |
GMS5 | 76.56 | 206,617 | 0.633 | 0.955 |
GMS6 | 76.68 | 206,245 | 0.684 | 0.954 |

![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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