Table 3.4. Frequency distribution table, frequency, cumulative frequency
( Test No. 1 – Round 1 )
x i
Number of students achieving x points | % of students achieving score x i | % of students scoring x i or lower | ||||
Address | TN | Address | TN | Address | TN | |
0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
1 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
2 | 3 | 0 | 1.09% | 0.00% | 1.09% | 0.00% |
3 | 10 | 10 | 3.65% | 3.64% | 4.74% | 3.64% |
4 | 33 | 15 | 12.04% | 5.45% | 16.79% | 9.09% |
5 | 42 | 35 | 15.33% | 12.73% | 32.12% | 21.82% |
6 | 77 | 55 | 28.10% | 20.00% | 60.22% | 41.82% |
7 | 54 | 62 | 19.71% | 22.55% | 79.93% | 64.36% |
8 | 36 | 60 | 13.14% | 21.82% | 93.07% | 86.18% |
9 | 11 | 24 | 4.01% | 8.73% | 97.08% | 94.91% |
10 | 8 | 14 | 2.92% | 5.09% | 100.00% | 100.00% |
274 | 275 | 100.00% | 100.00% | |||
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![Mobile Phone Usage in Hanoi Inner City Area
zt2i3t4l5ee
zt2a3gsconsumer,consumption,consumer behavior,marketing,mobile marketing
zt2a3ge
zc2o3n4t5e6n7ts
- 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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![Mobile Phone Usage in Hanoi Inner City Area
zt2i3t4l5ee
zt2a3gsconsumer,consumption,consumer behavior,marketing,mobile marketing
zt2a3ge
zc2o3n4t5e6n7ts
- 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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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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Frequency Distribution of Test Results No. 2 -
Frequency Distribution of Growth of All 821 Rubber Seedlings at 15 Years of Age Originating from Rondonia State (Brazil) -
Relationship Between Gene Frequency and Component Variances -
Rate of Vitamin D Deficiency and Frequency of Acute Respiratory Infections in Children Under 5 Years Old in An Lao District, Hai Phong City
Address
TN
120.00%
100.00%
80.00%
60.00%
40.00%
20.00%
0.00%
1
2
3
4
5
6
7
8
9 10 11
Figure 3.3. Cumulative line graph of test number 1 round 1
Table 3.5. Summary of student classification according to test score results of round 1
KT lesson
Class | Number of students | % Weak, Poor | % Medium | % Rather | % Good | |
Total | Address | 274 | 16.79% | 43.43% | 32.85% | 6.93% |
TN | 275 | 9.09% | 32.73% | 44.36% | 13.82% |
43.43% 44.36%
% | |||||||||||
32.73% 32.85 | |||||||||||
16.79% | |||||||||||
13.82% | |||||||||||
9.09% | 6.93 | % | |||||||||
45.00%
40.00%
35.00%
30.00%
25.00%
20.00%
15.00%
10.00%
5.00%
0.00%
% Weak, Poor % Average
% Rather
% Good
Address
TN
Figure 3.4. Summary graph of student learning outcomes classification, lesson 1, round 1
Table 3.6 . Description and comparison of test results data of round 1, lesson 1
Data Analysis
Quantity | Control | Experiment | |
Data Description | Fashion | 6 | 7 |
Median | 6 | 7 | |
Average value | 6.25 | 6.78 | |
Standard deviation | 1.70 | 1.66 | |
Compare data | p-value | 6.4.10 –5 | |
ES Impact Level | 0.31 (small) | ||
Table 3.7. Frequency distribution table, frequency, cumulative frequency
(Test 2 – Round 1)
x i
Number of students achieving x points | % of students achieving score x i | % of students scoring x i or lower | ||||
Address | TN | Address | TN | Address | TN | |
0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
1 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
2 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
3 | 5 | 1 | 1.82% | 0.36% | 1.82% | 0.36% |
4 | 19 | 8 | 6.93% | 2.91% | 8.76% | 3.27% |
5 | 43 | 22 | 15.69% | 8.00% | 24.45% | 11.27% |
6 | 61 | 28 | 22.26% | 10.18% | 46.72% | 21.45% |
7 | 62 | 45 | 22.63% | 16.36% | 69.34% | 37.82% |
8 | 45 | 67 | 16.42% | 24.36% | 85.77% | 62.18% |
9 | 30 | 81 | 10.95% | 29.45% | 96.72% | 91.64% |
10 | 9 | 23 | 3.28% | 8.36% | 100.00% | 100.00% |
274 | 275 | 100.00% | 100.00% | |||
Address
TN
120.00%
100.00%
80.00%
60.00%
40.00%
20.00%
0.00%
0
1
2
3
4
5
6
7
8
9 10
Figure 3.5. Cumulative line graph of test number 2 round 1
45.00%
40.00%
35.00%
30.00%
25.00%
20.00%
15.00%
10.00%
5.00%
0.00%
37.96%
39.05%
40.73%
37.82%
Address
TN
% Weak, Poor
% Medium
% Rather
% Good
Table 3.8. Summary of student classification according to test scores of round 1, test number 2
KT lesson
Class | Number of students | % Weak, Poor | % Medium | % Rather | % Good | |
Total | Address | 274 | 8.76% | 37.96% | 39.05% | 14.23% |
TN | 275 | 3.27% | 18.18% | 40.73% | 37.82% |
% | |||||||||||
18.18% | |||||||||||
14.23 | |||||||||||
8.76% | |||||||||||
3.27% | |||||||||||
Figure 3.6. Summary graph of student learning outcomes classification, lesson 2, round 1
Table 3.9. Description and comparison of test results data of round 1, test number 2
Data Analysis
Quantity | Control | Experiment | |
Data Description | Fashion | 7 | 9 |
Median | 7 | 8 | |
Average value | 6.66 | 7.72 | |
Standard deviation | 1.60 | 1.55 | |
Compare data | p-value | 1.54.10 –14 | |
ES Impact Level | 0.66 (average) | ||
Analysis of quantitative results of TNSP round 1
From the results of TNSP data processing, it shows that: the learning quality of students in the experimental groups is higher than that of the corresponding control groups, specifically: The average test score of the experimental class is higher than that of the control class, the standard deviation (SD) of the experimental class (1.66 and 1.55) is lower than that of the control class (1.70 and 1.60), proving that the dispersion around the mean value of the scores in the experimental class is smaller than that of the control class. The cumulative line graph of the experimental class is always located far to the right, so it can be affirmed that the learning achievement of the experimental class is higher than that of the control class.
higher than the control group. The p-value between the experimental and control classes = 6.4. 10 –5 and 1.54.10 –14 are both
< 0.05 shows that the significant difference in the average scores of the post-tests between the experimental and control groups is unlikely to have occurred by chance. ES = 0.31 and 0.66 show that the impact of the study has created a relatively good effect on the experimental classes in test number 2, with more progress than in test number 1.
b) Processing the test results of the second round of experimental lessons
Class
High School | Test (Appendix) | |||
TN | Address | Lesson 1 | Lesson 2 | |
10A2 (50HS) | 10A8 (51HS) | Nguyen Gia Thieu (Hanoi) | Lesson 1 Grade 10 (Appendix 4A) | Lesson 2 Grade 10 (Appendix 4A) |
10A5 (51HS) | 10A6 (53HS) | Nguyen Thi Minh Khai (Hanoi) | ||
10E (48HS) | 10D (45HS) | Tran Phu (Vinh Phuc) | ||
10L (44HS) | 10S (40HS) | Nguyen Trai High School (HD) | ||
11A2 (46HS) | 11A3 (46HS) | Pham Hong Thai (Hanoi) | Lesson 1 (Appendix 4B) Grade 11 | Lesson 2 (Appendix 4B) Grade 11 |
11A1 (46HS) | 11A7 (48HS) | Nguyen Gia Thieu (Hanoi) | ||
11A2 (50HS) | ||||
11A3 (38HS) | 11A2 (35HS) | Dinh Thien Ly (HCMC) | ||
11A9 (45HS) | 11A10 (46HS) | Chuc Dong (HN) | ||
11A4 (46HS) | 11A3 (44HS) | Thang Long (Hanoi) | ||
464 | 408 | |||
Table 3.10. Frequency distribution table, frequency, cumulative frequency
( Test No. 1 – Round 2 )
x i
Number of students achieving x points | % of students achieving score x i | % of students scoring x i or lower | ||||
Address | TN | Address | TN | Address | TN | |
0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
1 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
2 | 2 | 0 | 0.49% | 0.00% | 0.49% | 0.00% |
3 | 23 | 3 | 5.64% | 0.65% | 6.13% | 0.65% |
4 | 22 | 19 | 5.39% | 4.09% | 11.52% | 4.74% |
5 | 85 | 68 | 20.83% | 14.66% | 32.35% | 19.40% |
6 | 82 | 72 | 20.10% | 15.52% | 52.45% | 34.91% |
7 | 56 | 87 | 13.73% | 18.75% | 66.18% | 53.66% |
8 | 57 | 78 | 13.97% | 16.81% | 80.15% | 70.47% |
9 | 50 | 77 | 12.25% | 16.59% | 92.40% | 87.07% |
10 | 31 | 60 | 7.60% | 12.93% | 100.00% | 100.00% |
408 | 464 | 100.00% | 100.00% | |||
Address
TN
120.00%
100.00%
80.00%
60.00%
40.00%
20.00%
0.00%
1
2
3
4
5
6
7
8
9
10 11
Figure 3.7. Cumulative line graph of test number 1 round 2
Table 3.11. Summary of student classification according to test score results of round 2, test number 1
KT lesson
Class | Number of students | % Weak, Poor | % Medium | % Rather | % Good | |
Total | Address | 408 | 11.52% | 40.93% | 27.70% | 19.85% |
TN | 464 | 4.74% | 30.17% | 35.56% | 29.53% |
45.00%
40.00%
35.00%
30.00%
25.00%
20.00%
15.00%
10.00%
5.00%
0.00%
40.93%
35.56%
30.17%
27.70%
29.53%
19.85%
Address
TN
11.52%
4.74%
% Weak. Poor % Average % Good % Excellent
Figure 3.8. Summary graph of student learning outcomes in lesson 1, round 2
Table 3.12. Description and comparison of test results data of round 1 and round 2
Data Analysis
Quantity | Control | Experiment | |
Data Description | Fashion | 5 | 7 |
Median | 6 | 7 | |
Average value | 6.63 | 7.29 | |
Standard deviation | 1.95 | 1.77 | |
Compare data | p-value | 1.18.10 7 | |
ES Impact Level | 0.34 | ||
Table 3.13. Frequency distribution table, frequency, cumulative frequency
(Test No. 2 – Round 2)
x i
Number of students achieving x points | % of students achieving score x i | % of students scoring x i or lower | ||||
Address | TN | Address | TN | Address | TN | |
0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% |
1 | 1 | 0 | 0.25% | 0.00% | 0.25% | 0.00% |
2 | 4 | 0 | 0.98% | 0.00% | 1.23% | 0.00% |
3 | 24 | 11 | 5.88% | 2.37% | 7.11% | 2.37% |
4 | 28 | 14 | 6.86% | 3.02% | 13.97% | 5.39% |
5 | 69 | 45 | 16.91% | 9.70% | 30.88% | 15.09% |
6 | 91 | 77 | 22.30% | 16.59% | 53.19% | 31.68% |
7 | 86 | 98 | 21.08% | 21.12% | 74.26% | 52.80% |
8 | 44 | 77 | 10.78% | 16.59% | 85.05% | 69.40% |
9 | 36 | 83 | 8.82% | 17.89% | 93.87% | 87.28% |
10 | 25 | 59 | 6.13% | 12.72% | 100.00% | 100.00% |
408 | 464 | 100.00% | 100.00% | |||
120.00%
100.00%
80.00%
60.00%
Address
TN
40.00%
20.00%
0.00%
1
2
3
4
5
6
7
8
9 10 11
Figure 3.9. Cumulative line graph of test number 2 round 2
Table 3.14. Summary of student classification according to test scores of round 2
KT lesson
Class | Number of students | % Weak, Poor | % Medium | % Rather | % Good | |
Total | Address | 408 | 13.97% | 39.22% | 31.86% | 14.95% |
TN | 464 | 5.39% | 26.29% | 37.72% | 30.60% |
DC Class
TN Class
40.00%
35.00%
30.00%
25.00%
20.00%
15.00%
10.00%
5.00%
0.00%
39.22%
37.72%
31.86%
30.60%
26.29%
13.97%
14.95%
5.39%
% Weak, Poor % Average
% Rather
% Good
Figure 3.10. Summary graph of student learning outcomes classification, lesson 2, round 2
Table 3.15. Description and comparison of test results data of 2 rounds 2
Data Analysis
Quantity | Control | Experiment | |
Data Description | Fashion | 6 | 7 |
Median | 6 | 7 | |
Average value | 6.40 | 7.36 | |
Standard deviation | 1.86 | 1.76 | |
Compare data | p-value | 2.34.10 22 | |
ES Impact Level | 0.52 | ||
Analysis of TNSP quantitative results
From the results of processing the TNSP round 2 data, it shows that: the learning quality of students in the experimental groups is higher than that of the corresponding control groups, specifically: The average test score of the experimental class is higher than that of the control class, the standard deviation (SD) of the experimental class (1.77 and 1.76) is lower than that of the control class, proving that the dispersion around the mean value of the scores in the experimental class is smaller than that of the control class (1.95 and 1.86). The cumulative line graph of the experimental class is always located far to the right, so it can be affirmed that the learning achievement of the experimental class is higher than that of the control class.
higher than the control group. The p value between the experimental and control classes = 1.18.10 and 2.34.10 22 are equal
< 0.05 shows that the significant difference in the mean scores of the post-tests between the experimental and control groups is unlikely to have occurred by chance. ES = 0.34 and 0.52 show that the impact of the study has created a good level of influence on the experimental classes and is better in the second round of the second test.
c) Processing the test results of experimental lessons round 3
Class
High School | Test | |||
TN | Address | Lesson 1 | Lesson 2 | |
10A1 (48HS) | 10A5 (50HS) | Nguyen Gia Thieu (Hanoi) | Lesson 1 (Appendix 4A) | Lesson 2 (Appendix 4A) |
10A6 (52HS) | 10A5 (50HS) | Nguyen Thi Minh Khai (Hanoi) | ||
10E (45HS) | 10B (43HS) | Le Xoay (Vinh Phuc) | ||
10T4 (48HS) | 10T3 (51HS) | Thang Long (Hanoi) | ||
11A1 (45HS) | 11A3 (48HS) | Nguyen Gia Thieu (Hanoi) | Lesson 1 (Appendix 4B) | Lesson 2 (Appendix 4B) |
11A2 (51HS) | 11A4 (51HS) | Pham Hong Thai (Hanoi) | ||
11A9 (47HS) | 11A7 (50HS) | Chuc Dong (HN) | ||
11A10 (45HS) | ||||
11T5 (45HS) | 11T5 (48HS) | Thang Long (Hanoi) | ||
426 | 391 | |||