SV). The construction density and land use coefficient of schools are too high, accounting for 50%÷60% (according to the standard of 20%÷25%). The area for planting trees and gardens is very small, even almost non-existent. The average area of the learning area/01 student is about 3.23m 2 ; very low compared to the standard of 6m 2 (Table 3.23) . There is a huge difference in land area/01 student between schools located in big cities such as Hanoi, Ho Chi Minh City and other provinces and cities; between different management levels. For example: 1) In Hanoi (except VNU), the average number of m 2 of land/01 student is about 13.0m 2 . Of which, about 40% of schools have a very low level of less than 5.0m 2 /01 student such as the University of Labor and Social Affairs: 0.65m 2 ; Hanoi Law University: 0.67m 2 ; Foreign Trade University: 1.08m 2 ; National Economics University: 2.97m 2 ; Hanoi University of Science and Technology: 4.9m 2 ... 2) In Ho Chi Minh City (except Ho Chi Minh City National University), the average m 2 of land/01 student is about 10.0m 2 . Of which, about 30% of schools have a very low level of less than 5.0m 2 /01 student such as University of Economics: 0.54m 2 ; University of Transport: 3.25m 2 ... 3) The average land area/01 student of schools under the Ministry of Education and Training is 24.2m 2 . Schools under other ministries and branches are about 23.0m 2 ; schools under the People's Committees of provinces and cities are about 67.0m 2 (table 3.24).
In addition, the average land area for building student housing and auxiliary works in the total land area of the whole school accounts for a very low proportion, only 3.7% (according to the standard of 15% ÷ 20%). The indicators of technical infrastructure are still lacking, outdated, not up to standard and not meeting the requirements of use...
Table 3.23: Average learning area used per university student
TT
Criteria | Area (m 2 ) | |
1 | - Average/1 university student | 3.23 |
2 | - Average/1 student of Higher Education | 3.6 |
3 | - According to national standards | 6.0 |
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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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Testing the Differences in Student Satisfaction with the Quality of Training Services at the Faculty of Tourism, University of Industry -
Average Student Satisfaction Score for the Course -
A Study on the Necessity and Feasibility of Measures for Managing Student Learning Outcomes Assessment Activities According to the Program -
Perfecting the financial autonomy mechanism of public universities in Vietnam - 22

Source: [18, p.12].
Table 3.24: Average land area per student of the University of Civil Engineering
TT
Governing body | Average land area/1 student | University of Economics (m 2 ) | |
1 | Ministry of Education and Training | 24.2 | |
2 | Other Ministries and sectors | 23.0 | |
3 | Provincial and municipal People's Committees | 67.0 | |
Source: [18, p. 10].
Second, the number of lecture halls, classrooms, conference rooms, laboratories, workshops, libraries, etc. in schools is still very lacking (Table 3.25 to Table 3.29). For example, the number of laboratories compared to classrooms is very low (7.8%), only 40% of the training needs; the rate of laboratories serving inter-schools is very low (7.1%); the remaining years of use of equipment is low (11.1 years); the rate of specialized management and operation staff is low (45.3%).
In terms of quality, the laboratory equipment technology of the schools is mainly at an average level (good, modern ones account for only 23.3% and 20.2%); the level compared to the world is 1.8%, compared to the region is 49.9% (Table 3.26) . Practice workshops, the rate of service for the faculty level is 47.2%, for the school level is 51.3%, inter-school is very little (accounting for 1.5%). Thus, the exploitation and shared use of laboratories and practice workshops within the school and between schools is still limited.
The data in the tables also show that many schools do not have enough minimum conditions for facilities and have to rent or borrow a lot, such as the rate of renting and borrowing classrooms is 10.61% ( Table 3.25 ). The area used for classrooms, laboratories, libraries/01 student is low, only reaching 1.15m 2 ; 0.53m 2 and 0.18m 2 ; according to the standard is 1.4m 2 ÷ 1.5m 2 and 0.5m 2. On average, 3.5 teachers/01 computer and 33.2 students/01 computer.
Regarding libraries, 16.3% of schools do not have traditional libraries. The average number of reading rooms/school; seating area/student are both low (3.7 rooms/school; 21 students/seat). The rate of libraries using software in management is at an average low level (49.4%). The investment cost for 1 library/year is very low (only 352.2 million VND/year). The rate of schools without electronic libraries is still very high (48.9%). The average number of reading rooms/school; the number of computers for users to access in the reading room/student are both low (1.3 rooms/school; 147 students/computer). The rate of libraries using software in management is quite high (72.3%). The investment cost for 1 library/year is very low (only 256.0 million VND/year). The database of shared textbooks among schools is still limited. Currently there is only about more than
1,000 textbooks from 24 schools were posted on the Ministry of Education and Training's website for shared use [41].
Table 3.25: Indicators of classrooms, lecture halls; laboratories; libraries/1 student
TT
Target | Unit | Quantity | |
1 | Classroom, lecture hall | ||
- Average classroom area/01 student | m 2 | 1.15 | |
- Ratio of classrooms/classrooms and lecture halls | % | 92.16 | |
- Ratio of solid classrooms and lecture halls | % | 84.28 | |
- Ratio of semi-permanent classrooms and lecture halls | % | 5.11 | |
- Ratio of rented or borrowed classrooms and lecture halls | % | 10.61 | |
2 | Laboratory | ||
- Average lab area used/1 student | m 2 | 0.53 | |
- Ratio of laboratories/classrooms and lecture halls | % | 7.83 | |
- Solid laboratory ratio | % | 92.69 | |
- Semi-permanent laboratory ratio | % | 7.09 | |
- Rate of rented and borrowed laboratories | % | 0.2 | |
3 | Library | ||
- Average/1 university student - According to national standards | m 2 m 2 | 0.18 0.5 | |
- Percentage of libraries built solidly | % | 98.25 | |
- Percentage of libraries built semi-permanently | % | 1.75 | |
- Traditional library ratio | % | 69.07 | |
- Electronic library ratio | % | 30.93 |
Source: [18, pp.12-13].

Table 3.26: Current status and quality indicators of the laboratory
TT
Target | Unit | Quantity | |
I | Current status of the laboratory | ||
1 | Total number of laboratories | room | 3.364 |
- Average number of laboratories/1 school | room | 36.6 | |
- Average remaining years of use of the equipment | year | 11.1 | |
2 | Current device status | ||
- Rate of PTN in use | % | 99.2 | |
- Rate of PTN awaiting liquidation | % | 0.8 | |
3 | Management level | ||
- Rate of PTN managed by the school | % | 89.1 | |
- Percentage of PTN managed by faculty | % | 10.9 | |
4 | Service Range | ||
- Inter-school service ratio | % | 7.1 | |
- Rate of PTN serving the school | % | 44.7 | |
- Ratio of PTN serving the department | % | 48.2 | |
5 | Number of staff managing and operating the PTN | ||
- Proportion of full-time staff | % | 45.3 | |
- Proportion of part-time staff | % | 54.7 | |
- Percentage of schools with plans to develop PTN human resources by 2015 | % | 13.4 | |
6 | Laboratory regulations |
- Rate of PTN with regulations - Percentage of PTNs that are building regulations - Rate of PTN without regulations | % % % | 83.2 12.7 4.1 | |
II | Quality, laboratory suitability | ||
1 | Quality of equipment | ||
- Percentage of laboratories with good quality equipment | % | 23.3 | |
- Percentage of PTNs with average equipment quality | % | 63.1 | |
- Rate of PTN with low quality equipment | % | 13.6 | |
2 | Technology of the device | ||
- Percentage of laboratories with modern technology | % | 20.2 | |
- Rate of medium technology laboratories | % | 61.9 | |
- Rate of low technology laboratories | % | 17.9 | |
3 | PTN Equivalency Assessment | ||
- The PTN evaluation rate is equivalent to universities in the world. | % | 1.8 | |
- The rate of PTN evaluation is equivalent to that of universities in the region. | % | 49.9 | |
- The rate of PTN is assessed as backward level | % | 48.2 | |
4 | Assess the suitability of laboratory equipment | ||
- Level of suitability for the training program | % | 71.8 | |
- Clarity and ease of use | % | 68.5 | |
- Level of effectiveness for preparing lectures, practice/experiment lessons | % | 72.0 | |
- Level of suitability for the level of use of lecturers and students | % | 75.3 | |
- Appropriate level of maintenance and management | % | 68.5 | |
- Long-term use (durability) | % | 63.5 | |
5 | Investment efficiency of PTN | ||
- The rate of PTN evaluated as highly effective investment | % | 30.2 | |
- The rate of PTN evaluated as average investment efficiency | % | 61.9 | |
- The rate of PTNs assessed as having low investment efficiency | % | 7.8 | |
6 | Percentage of PTNs that are invested in additional, repaired, and upgraded annually | % | 6.9 |
7 | Propose a solution | ||
- Proposed new investment rate | % | 16.2 | |
- Proposed upgrade rate of PTN | % | 53.8 | |
- Proportion of PTNs recommended to add equipment | % | 30.0 | |
III | Level of response to the school's experimental and practical needs | % | 40.0 |

Source: [18, pp. 18-19].

Table 3.27: Current status indicators; quality of practice workshop
TT
Target | Unit | Quantity | |
I | Current status of the workshop (XTH) | ||
1 | Total XTH - Average area/1XTH | factory m2 | 248 3,872.8 |
- Average remaining years of use of XTH | year | 3.6 | |
2 | Current device status | ||
- XTH rate in use | % | 99.0 |
- XTH rate pending liquidation | % | 1.0 | |
3 | Management level | ||
- XTH rate managed by the school | % | 93.4 | |
- XTH rate managed by the department | % | 6.6 | |
4 | Service Range | ||
- Inter-school service rate | % | 1.5 | |
- XTH rate serving the school | % | 51.3 | |
- XTH rate serving the department | % | 47.2 | |
5 | Number of staff managing and operating XTH | ||
- Proportion of full-time staff | % | 54.9 | |
- Proportion of part-time staff | % | 45.1 | |
6 | XTH Regulations | ||
- XTH rate has regulations | % | 76.6 | |
- XTH rate is building regulations | % | 19.6 | |
- XTH rate has no regulations | % | 3.8 | |
II | Quality, suitability of XTH | ||
1 | Quality of equipment | ||
- XTH rate is assessed as good quality equipment | % | 30.2 | |
- XTH rate is rated as average device quality | % | 51.8 | |
- XTH rate is assessed as low quality equipment | % | 17.9 | |
2 | Technology of the device | ||
- XTH rate is evaluated with modern technology | % | 22.8 | |
- The XTH ratio is assessed to have average technology | % | 57.1 | |
- The XTH rate is assessed as having low technology | % | 20.1 | |
3 | Equivalent assessment of XTH | ||
- The XTH evaluation rate is equivalent to universities around the world. | % | 2.1 | |
- The XTH evaluation rate is equivalent to regional universities. | % | 51.9 | |
- The XTH rate is considered backward. | % | 46.0 | |
4 | Assess the suitability of equipment in XTH | ||
- Level of suitability for the training program | % | 76.0 | |
- Clarity and ease of use | % | 74.3 | |
- Level of effectiveness for preparing lectures, practice/experiment lessons | % | 75.0 | |
- Level of suitability for the level of use of lecturers and students | % | 80.0 | |
- Appropriate level of maintenance and management | % | 70.3 | |
- Long-term use (durability) | % | 70.4 | |
5 | Investment efficiency of XTH | ||
- XTH rate is assessed as high investment efficiency | % | 45.2 | |
- XTH rate is evaluated as average investment efficiency | % | 47.3 | |
- XTH rate is assessed as low investment efficiency | % | 7.5 | |
6 | Rate of XTH added, repaired, upgraded, renovated annually | % | 21.4 |
7 | Propose a solution | ||
- Proposed new investment XTH ratio | % | 16.3 | |
- Recommended XTH upgrade rate | % | 38.0 | |
- Recommended XTH rate for additional equipment | % | 45.7 | |
III | Level of response to the school's experimental and practical needs | % | 40.0 |

Source: [18, pp. 21-23].
Table 3.28: Information technology infrastructure indicators
TT
Target | Unit | Average | |
1 | Percentage of schools with sufficient staff to ensure the operation of IT systems | % | 84.8 |
2 | Average number of computers/01 lecturer | machine | 0.29 |
3 | Average number of computers/01 student | machine | 0.42 |
4 | Percentage of computers connected to internal networks | % | 57.4 |
5 | Percentage of computers connected to the internet | % | 74.1 |
6 | Number of computers connected to the internet serving students/01 student | machine | 0.03 |
7 | Percentage of schools with Wi-Fi | % | 43.5 |
8 | Percentage of schools with application software in management, teaching and scientific research | % | 66.3 |
9 | Percentage of schools with websites | % | 67.4 |
Source: [18, p. 24].
Table 3.29: Library indicators
TT
Target | Unit | Quantity | ||
Library traditional | Library Electronics | |||
1 | Total number of university libraries | library | 77 | 47 |
2 3 | Percentage of schools with libraries Average reading room area | % m 2 | 83.7 165.1 | 51.1 371.9 |
4 | Average number of reading rooms/01 school | room | 3.7 | 1.3 |
5 | Number of seats (computers)/01 student | place | 0.05 | 0.007 |
6 | Number of books, documents/01 student | copy | 11.1 | 1.2 |
7 | Percentage of libraries with surveillance systems (magnetic gates, magnetic cards, etc.) | % | 0.7 | |
8 | Number of visits (users)/01 student | user | 0.032 | |
9 | Library Network | |||
- Percentage of libraries connected to LAN | % | 76.6 | ||
- Percentage of libraries connected to Wan network | % | 17.0 | ||
- Percentage of libraries connected to the internet | % | 93.6 | ||
- Percentage of libraries with Wi-Fi network | % | 48.9 | ||
- Percentage of libraries with interlibrary connections | % | 25.5 | ||
10 | Total number of library staff | People | 870 | 538 |
- Proportion of staff who are IT engineers | % | 0 | 13.1 | |
- Percentage of staff with university degree or higher in library | % | 53.4 | 51.3 | |
- Proportion of staff with college and intermediate library degrees | % | 10.6 | 8.6 | |
- Short-term training rate | % | 26.4 | 20.9 | |
- Proportion of part-time staff | % | 9.6 | 6.1 | |
11 | Percentage of libraries using library management software | % | 49.4 | 72.3 |
12 | Average investment cost/01 library/01 year | million dong | 352.2 | 256.0 |
13 | Average number of readers and visitors is GV/year | People | 6.660 | 22,875 |
14 | Average number of readers and visitors are students and postgraduates/year | People | 120,458 | 100,804 |
15 | Percentage of libraries that apply library standards | % | 55.8 | 57.4 |
Source: [18, pp. 26-28].
Third, sports facilities, dormitories, canteens, teachers' accommodation, and school health care facilities are still very limited, and are still invested in semi-permanent form and have to be rented (Table 3.30). For example, the rate of semi-permanent dormitories accounts for 10.35%; semi-permanent canteens accounts for 28.70%...
Table 3.30: Indicators for sports facilities, dormitories, canteens, teacher accommodation, and school health care
TT
Target | Unit | Quantity | |
1 | Sports house | home | 65 |
- Rate of solid sports house | % | 72.30 | |
- Semi-permanent sports house ratio | % | 21.50 | |
- Rate of sports houses rented and borrowed | % | 6,160 | |
2 | Outdoor sports field | yard | 212 |
- Percentage of outdoor sports fields located on school grounds | % | 84.43 | |
- Rate of rented or borrowed outdoor sports fields | % | 15.57 | |
3 | Dormitory - Average living area/1 student | m 2 | 3.24 |
- Rate of solid housing | % | 88.44 | |
- Percentage of semi-permanent rooms | % | 10.35 | |
- Rate of rented and borrowed rooms | % | 1.21 | |
4 | Canteen | home | 108 |
- Percentage of solidly built dining rooms | % | 65.74 | |
- Percentage of semi-permanently built dining halls | % | 28.70 | |
- Rate of rented or borrowed restaurants | % | 5.56 | |
5 | Number of rooms for lecturers Average area/room for 2 teachers and staff | room m2 | 249 33.00 |
Number of accommodations for faculty and staff | place | 843 | |
Rate of rented and borrowed rooms | % | 1.21 | |
6 | School health work | ||
Percentage of schools with medical stations | % | 83.7 | |
Number of hospital beds/01 student | bed | 0.0006 | |
Number of medical staff/01 student | staff | 0.0010 | |
7 | Other public works | project | 65 |
Source: [18, pp. 14, 16, 29].
Fourth, the staff in charge of facilities and training equipment of schools is still weak and lacking in quantity (Table 3.31) . On average, there are 8 people/school; the proportion of staff holding concurrent positions and those without certificates related to the work they undertake is still high (27.2% and 73.6%, respectively). Many schools do not even have a separate department for facilities and equipment management. It is often arranged interspersed with the tasks of many functional departments, leading to difficulties in implementation. The qualifications of staff are mainly university degrees or lower (accounting for 83.7%); very few have doctoral degrees or higher (accounting for 3.48%).
Table 3.31: Team working on training facilities and equipment
TT
Target | Unit | Quantity | |
1 | Structure by level, degree, title | ||
- Professor | % | 0.09 | |
- Doctor of Science | % | 0.09 | |
- Dr. | % | 3.3 | |
- Master | % | 12.8 | |
- University | % | 48.2 | |
- College degree or lower | % | 35.5 | |
2 | Ratio of full-time staff/total | % | 72.8 |
3 | Ratio of part-time staff/total | % | 27.2 |
4 | Percentage of staff with certificates related to the job they are doing | % | 26.4 |
Source: [18, p. 30].
The above results show that the impact of the TCTC mechanism on improving the quality of facilities for public universities is not high.
e. Additional income of staff
Since applying the TCTC mechanism (Decree 43/CP), the additional income of school staff has increased (Table 3.32), for example at Thuy Loi University it is 7.5 million VND/person/month, everyone feels secure in their work, and the spirit of solidarity is better.
Table 3.32: Additional income expenditure of some universities (2006÷2010)
Unit: Million VND
TT
University name | Total revenue | |||||
2006 | 2007 | Year 2008 | Year 2009 | 2010 | ||
1 | Ho Chi Minh City University of Industry | 22,266 | 25,720 | 30,123 | 40,429 | 54,518 |
2 | Hanoi University of Industry | 9,681 | 7,599 | 12,213 | 15,089 | 26,179 |
3 | University of Economics and Technology | 2,504 | 2,818 | 4.412 | 8,255 | 10,798 |
4 | Quang Ninh University of Technology | 2,291 | 2,098 | 2,681 | 2,727 | 2,179 |
5 | Universities under the Ministry of Education and Training | 85,229 | 146,460 | 168,679 | 224,862 | * |
6 | Vietnam National University, Hanoi | * | 7,407 | 3,539 | 31,127 | * |
7 | Ho Chi Minh City National University | 7.021 | 18,147 | 28,419 | 27,479 | * |
Source: Author's calculation from the audit report of the 2006÷2010 settlement [21÷34], [126÷145] and (*) is the part without data.
According to the survey results at 50 schools in 3 years, the average score used to evaluate the increase or decrease in additional income of staff is as follows:

![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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