The testing procedure is as follows:
- Use a bamboo stick to take about 150mg of feces, place on absorbent paper or newspaper.
- Place the filter net on top of the manure (to filter the manure), use a flat-headed bamboo stick to press lightly so that the manure is pushed onto the net, then scrape the manure into the hole of the plastic sheet placed on the glass slide (to measure the manure). After filling the hole with manure, scrape it with the hole, and carefully lift the plastic sheet off the glass slide.
- Place a piece of cellophane soaked in Kato solution on the fertilizer, use a rubber stopper to gently press the fertilizer to spread evenly over the edge of the cellophane piece.
- Let it dry, examine under a 100x optical microscope, look for roundworm, whipworm and hookworm eggs and count all the eggs of each type of worm on each slide. Note that at room temperature, let it dry for 10-30 minutes, if the temperature is 25 0 C, humidity is 70%, then leave it for 20-30 minutes and then examine. The slide may dry, hookworm eggs may deform and be very difficult to detect. In Dak Lak, with the temperature and humidity conditions, just leave it for 10-15 minutes and examine well.
Stool examination for worm eggs in 3251 study subjects to determine:
- Rate and intensity of roundworm infection.
- Rate and intensity of whipworm infection.
- Rate and intensity of hookworm infection/beak.
- Infection rate of 2 types of worms.
- Infection rate of 3 types of worms.
2.7. Research materials
2.7.1. Materials for information and education on worm infection prevention
- TT - GDSK documents translated into Ede language.
- Media flip book set - GDSK.
- Documents on 4 models of hygienic toilets.
- Technical documents for the construction of 2 types of sample toilets.
- UNICEF environmental sanitation communication tape.
- Leaflets on worm prevention.
- Posters on worm prevention.
2.7.2. Interview questions on knowledge, attitudes and practices of worm infection prevention.
Pre-printed survey questionnaire (Appendix 1) and observation checklist (Appendix 2)
2.7.3. Fecal testing materials used for research
- Optical microscope.
- Labeled stool specimen container, bamboo stool collection stick, enamel tray, specimen holder, tweezers, clamps, absorbent paper, rubber stopper, stool filter, medical gloves, Kato - Katz plastic sheet (Vestergaard Frandsen has a measuring hole of 41.7 mg of stool, from which we can deduce: Number of eggs/1 gram of stool = number of eggs/1 test slide x 24).
- Cellophane pieces (40 m thick cut into 26mm pieces
x 28mm) was soaked for 24 hours in a solution containing (100% distilled water, 100% glycerin, 1/4 3% malachite solution).
2.7.4. Drugs used in treatment
- Deworming medicine: Mebendazole [2],[91],[92],[109],[131],[152], international common name Mebendazole , ATC code : P02C A01; Mebendazole is included in the list of essential drugs in Vietnam issued for the fourth time in 1999.
Chemical formula: Carbamic acid, (5-benzolyl-1H-benzimidazole -2- yl)- methyl ester.
Dosage form: 500mg tablets manufactured by Shing-pong, Korea. Dosage: 500mg/tablet, single dose.
- Other drugs: Bcomplex and iron folic acid
2.8. Variables and indicators in the study
2.8.1. Research variables [3],[22],[23],[43]
2.8.1.1. Variables of cross-sectional descriptive study Table 2.1. Group of dependent variables
Variable group
Variable name | Classification definition | Variable type | Collection techniques | |
Dependent variable group | Worm infection chopsticks | Yes/No | Nominal | Stool test |
Worm infection hair | Yes/No | Nominal | Stool test | |
Worm infection hook/beak | Yes/No | Nominal | Stool test | |
2 types of infection worms | Yes/No | Nominal | Stool test | |
3 types of infection worms | Yes/No | Nominal | Stool test |
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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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Results in Increased Knowledge and Skills in Self-Monitoring Blood Pressure -
Methods of Exploiting Geographical Knowledge from Maps -
Interview with Principal of Ong Ich Khiem Secondary School: Mr. Do Quang Chieu -
Improving Knowledge for Healthcare Workers

Table 2.2. Group of independent variables
Group
variable
Variable name | Define classify | Variable type number | Collection techniques | |
Group of independent variables | Year old | Calculated by calendar year | Continuous | Interview by set question |
Gender | Male or female | Binary | Interview by set question | |
Job | Present of object | Nominal | Interview by set question | |
Education level | Highest level of education of the object | Nominal | Interview by question set | |
Eat raw vegetables | Practice of object | Classify | Interview by set question | |
Drink water | Practice of object | Classify | Interview by set question | |
Wash hands first when eating | Practice of object | Classify | Interview by set question | |
Wash hands after going to the bathroom convenient | Practice of object | Classify | Interview by set question | |
Barefoot | Practice of object | Nominal | Interview by set question | |
Home use pepper | Practice of object | Nominal | According to the house inspection list pepper | |
Use fresh manure Fertilize plants | Practice of object | Nominal | Interview by set question |
2.8.1.2. Variables for intervention studies
Table 2.3. Worm infection before and after intervention
Variable name
Define | Classify | Method data collection | |
Roundworm infection | Yes or No | Nominal | Stool test |
whipworm infection | Yes or No | Nominal | Stool test |
Hookworm infection | Yes or No | Nominal | Stool test |
Infected with 2 types of worms | Yes or No | Nominal | Stool test |
Infected with 3 types of worms | Yes or No | Nominal | Stool test |
Table 2.4. Knowledge, attitudes, practices on personal hygiene and the harmful effects of worms before and after intervention
Variable name
Define | Classify | Collection method collect data | |
Know the transmission route transmission of worms | Knowledge of the opponent research object | Classify | Interview by set question |
Know the harmful effects of worms | Knowledge of the opponent research object | Classify | Interview by set question |
Wash hands before eat | Practice of the subject research object | Classify | Interview by set question |
Wash hands after defecation | Practice of the subject research object | Classify | Interview by set question |
Barefoot | Practice of the subject statue | Classify | Interview by set question |
Drink water | Practice of the subject statue | Classify | Interview by set question |
Use of PPE | Practice of the subject research object | Classify | Interview by set question |
2.8.2. Research indicators [3], [26], [92]
2.8.2.1. Indicators through stool testing
Determination of worm infection rate
Total number of people tested positive
Overall worm infection rate =
Ascaris infection rate
(1 type or 2 types or 3 types) x 100 Total number of people tested
Total number of people infected with roundworm
(or hair or hook/beak)
=(or hair or hook/beak) x 100 Total number of people tested
Total number of people infected with 1 type of worm
Monoinfection rate =
(chopsticks or hair or hook/beak) x 100 Total number of people infected with worms
x 100
Total number of people infected with 2 types of worms
Infection rate of 2 types =
(chopsticks + hair) or (hook + hair) or (chopsticks + hook) Total number of people infected with worms
Infection rate of 3 types
=Total number of people infected with 3 types of worms (roundworm + hairworm + hookworm) x 100 Total number of people infected with worms
Determine the intensity of worm infection
Number of eggs/1g of stool = total number of worm eggs counted/1 test slide x 24
Intensity of infection
average =
(Average number of eggs/1 g of feces)
Total number of eggs/1g of stool of individuals Total number of people with stool tests
WHO criteria for assessing worm infection intensity [92] are as follows:
Table 2.5. Classification of infection intensity: roundworm, whipworm, hookworm/helminth
Type of worm
Mild infection | Average Intensity of Infection | Intensity of infection Heavy | |
Roundworm | 1 - 4,999 EPGS | 5,000 – 49,999 EPGs | 50,000 EPG |
whipworm | 1 – 999 EPG | 1,000 – 9,999 EPGs | 10,000 EPGs |
Hookworm/Beakworm | 1 – 1,999 EPGs | 2,000 – 3,999 EPGs | 4,000 EPGs |
2.8.2.2. Indicators for evaluating health education communication in the residential community of Hoa Xuan commune
Percentage of people who answered each question correctly
Percentage of households with toilets
= Total number of people who answered the question correctlyx 100 Total number of people interviewed
= Total number of households with NTx 100 Total number of households surveyed
Percentage of households with hygienic toilets
Total number of households with (NTHVS)
= Total number of households surveyed x 100
Percentage of people with the habit of defecating outside the toilet (TQĐTNNT)
Percentage of people using labor protection
= Total number of people (TQDTNNT)x 100 Total number of people surveyed
= Total number of people using social insurancex 100 Total number of people surveyed
Percentage of people who know the correct harm/transmission of worms
Total number of people who know correctly
= harm/ transmission of wormsx 100 Total number of people surveyed
Percentage of households with bleach
=
Periodic worms
Total number of households with regular deworming Total number of households surveyed
x 100
Index
efficiency (%) =
Pre-intervention value – Post-intervention value
Pre-intervention value
x 100
Difference ratio = Treatment group effectiveness index – Control group effectiveness index
2.8.2.3. Group of risk factor indexes affecting worm infection
Percentage of people exposed to
=
infected with risk factors
Number of people exposed to YTNC Total number of people participating in the sample
x 100
Table 2.6. Association of risk factors and worm infection [43],[85],[86]
Worm infection | Total | |||
Have | Are not | |||
Risk | Have | a | b | a+b |
Are not | c | d | c+d | |
Total | a+c | b+d | a+b+c+d | |
In which: a: Number infected with worms and exposed to risk factors.
b: Number of people not infected with worms and exposed to risk factors. c: Number of people infected with worms and not exposed to risk factors.
a: Number of people not infected with worms and not exposed to risk factors.
Odds ratio (OR) = ad
b.c.
Evaluation criteria
OR >1, 95% confidence interval (CI) does not contain 1, p<0.05, association is statistically significant.
2.8.2.4. Mebendazole treatment outcome index [52],[85],[86]
Number of individuals free of roundworm eggs
Worm egg clearance rate =
(or hair or hook/beak) x 100 Number of individuals with eggs treated
Average number of eggs/1g of feces before treatment
Average number of eggs/1g of feces after treatment
=Total eggs/1g of stool before treatment Number of people treated
=Total number of eggs per 1g of stool after treatment Number of people treated
Egg Reduction Rate =
(Average number of eggs/1g of feces before treatment)
- (average number of eggs/1g of feces after treatment) Average number of eggs/1g of feces before treatment
x 100

![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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