Category
Number | Content | Page | |
Table | 1.1 | Main biochemical indicators to evaluate training session performance | 14 |
1.2 | Normal values and fatigue thresholds of some biochemical indicators when LVĐ affects the athlete's body | 14 | |
1.3 | The relationship between blood urea and hemoglobin with LVĐ | 15 | |
1.4 | Biochemical index combination in comprehensive assessment of athletes' endurance capacity | 15 | |
1.5 | High level athlete model | 29 | |
1.6 | The Structure of the Elite Athlete Model - Different Development Paths Leading to the Elite Athlete Model | 49 | |
3.1 | Interview results of characteristic factors suitable for the structure and characteristics of high-level badminton athletes (n = 11) | After 61 | |
3.2 | Interview results of characteristic factors in construction Modeling high-level badminton athletes (n = 24) | 63 | |
3.3 | Reliability of selection factors in building a model of high-level badminton athletes (n = 24) | 64 | |
3.4 | Results of internal reliability testing of characteristic biological indicators | After 67 | |
3.5 | Results of reliability testing of characteristic biological indicators after variable removal | After 67 | |
3.6 | Results of internal reliability testing of the indicators characteristic violation | After 68 | |
3.7 | Results of reliability testing of specific pedagogical indicators after variable removal | After 68 | |
3.8 | Results of internal reliability testing of psychological indicators characteristic | After 68 | |
3.9 | Results of reliability testing of psychological indicators after variable removal | After 68 | |
3.10 | Results of 2 interviews (frequency distribution -$T1 Frequencies) on indicators, characteristic tests suitable for the structure structure, characteristics of high-level CL athletes (n = 24) | After 68 | |
3.11 | Pairwise Wilconxon test results between 2 interviews | After 68 | |
3.12 | Correlation of biological indicators with competition performance of high-level badminton athletes (n = 8) | After 73 | |
3.13 | Correlation of indicators, pedagogical tests with competition performance of high-level badminton athletes (n = 8) | After 73 | |
3.14 | Correlation of indicators, psychological tests with performance Competition results of senior badminton players (n = 8) | After 73 | |
3.15 | Correlations between selected biological characteristics in the construction of the Athlete Bridge model high-grade feathers (n = 8) | After 73 |
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Research on building a model of high-level male badminton athletes through biological, pedagogical and psychological values - 1 -
Mobile Phone Usage in Hanoi Inner City Area
zt2i3t4l5ee
zt2a3gsconsumer,consumption,consumer behavior,marketing,mobile marketing
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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 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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font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s64 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: bold; text-decoration: none; font-size: 13pt; } div.maincontent .s67 { color: black; font-family:Arial, sans-serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 9.5pt; } div.maincontent .s68 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 12pt; } div.maincontent .s69 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 12pt; } div.maincontent .s70 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; tex -
Identify Rating Levels and Rating Scales
zt2i3t4l5ee
zt2a3gstourism,quan lan,quang ninh,ecology,ecotourism,minh chau,van don,geography,geographical basis,tourism development,science
zt2a3ge
zc2o3n4t5e6n7ts
of the islanders. Therefore, this indicator will be divided into two sub-indicators:
a1. Natural tourism attractiveness a2. Cultural tourism attractiveness
b. Tourist capacity
The two island communes in Quan Lan have different capacities to receive tourists. Minh Chau Commune is home to many standard hotels and resorts, attracting high-income domestic and international tourists. Meanwhile, Quan Lan Commune has many motels mainly built and operated by local people, so the scale and quality are not high, and will be suitable for ordinary tourists such as students.
c. Time of exploitation of Quan Lan Island Commune:
Quan Lan tourism is seasonal due to weather and climate conditions and festivals only take place on certain days of the year, specifically in spring. In Quan Lan commune, the period from April to June and from September to November is considered the best time to visit Quan Lan because the cultural tourism activities are mainly associated with festivals taking place during this time.
Minh Chau island commune:
Tourism exploitation time is all year round, because this is a place with a number of tourist attractions with diverse ecosystems such as Bai Tu Long National Park Research Center, Tram forest, Turtle Laying Beach, so besides coming to the beach for tourism and vacation in the summer, Minh Chau will attract research groups to come for tourism combined with research at other times of the year.
d. Sustainability
The sustainability of ecotourism sites in Quan Lan and Minh Chau communes depends on the sensitivity of the ecosystems to climate changes.
landscape. In general, these tourist destinations have a fairly high level of sustainability, because they are natural ecosystems, planned and protected. However, if a large number of tourists gather at certain times, it can exceed the carrying capacity and affect the sustainability of the environment (polluted beaches, damaged trees, animals moving away from their habitats, etc.), then the sustainability of the above ecosystems (natural ecosystems, human ecosystems) will also be affected and become less sustainable.
e. Location and accessibility
Both island communes have ports to take tourists to visit from Van Don wharf:
- Quan Lan – Van Don traffic route:
Phuc Thinh – Viet Anh high-speed boat and Quang Minh high-speed boat, depart at 8am and 2pm from Van Don to Quan Lan, and at 7am and 1pm from Quan Lan to Van Don. There are also wooden boats departing at 7am and 1pm.
- Van Don - Minh Chau traffic route:
Chung Huong high-speed train, Minh Chau train, morning 7:30 and afternoon 13:30 from Van Don to Minh Chau, morning 6:30 and afternoon 13:00 from Minh Chau to Van Don.
f. Infrastructure
Despite receiving investment attention, the issue of infrastructure and technical facilities for tourism on Quan Lan Island is still an issue that needs to be resolved because it has a direct impact on the implementation of ecotourism activities. The minimum conditions for serving tourists such as accommodation, electricity, water, communication, especially medical services, and security work need to be given top priority. Ecotourism spots in Minh Chau commune are assessed to have better infrastructure and technical facilities for tourism because there are quite complete and synchronous conditions for serving tourists, meeting many needs of domestic and foreign tourists.
3.2.1.4. Determine assessment levels and assessment scales
Corresponding to the levels of each criterion, the index is the score of those levels in the order of 4, 3, 2, 1 decreasing according to the standard of each level: very attractive (4), attractive (3), average (2), less attractive (1).
3.2.1.5. Determining the coefficients of the criteria
For the assessment of DLST in the two communes of Quan Lan and Minh Chau islands, the students added evaluation coefficients to show the importance of the criteria and indicators as follows:
Coefficient 3 with criteria: Attractiveness, Exploitation time. These are the 2 most important criteria for attracting tourists to tourism in general and eco-tourism in particular, so they have the highest coefficient.
Coefficient 2 with criteria: Capacity, Infrastructure, Location and accessibility . Because the assessment area is an island commune of Van Don district, the above criteria are selected by the author with appropriate coefficients at the average level.
Coefficient 1 with criteria: Sustainability. Quan Lan has natural and human-made ecotourism sites, with high biodiversity and little impact from local human factors. Most of the ecotourism sites are still wild, so they are highly sustainable.
3.2.1.6. Results of DLST assessment on Quan Lan island
a. Assessment of the potential for natural tourism development
For Minh Chau commune:
+ Natural tourism attractiveness is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined as average (2 points) and the coefficient is quite important (coefficient 2), then the score of Capacity criterion is 2 x 2 = 4.
+ Exploitation time is long (4 points), the most important coefficient (coefficient 3) so the score of the Exploitation time criterion is 4 x 3 = 12.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is assessed as good (3 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 3 x 2 = 6 points.
The total score for evaluating DLST in Minh Chau commune according to 6 evaluation criteria is determined as: 12 + 4 + 12 + 4 + 4 + 6 = 42 points
Similar assessment for Quan Lan commune, we have the following table:
Table 3.3: Assessment of the potential for natural ecotourism development in Quan Lan and Minh Chau communes
Attractiveness of self-tourismof course
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
CommuneMinh Chau
12
12
4
8
12
12
4
4
4
8
6
8
42/52
Quan CommuneLan
6
12
6
8
9
12
4
4
4
8
4
8
33/52
b. Assessment of the potential for humanistic tourism development
For Quan Lan commune:
+ The attractiveness of human tourism is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined to be large (3 points) and the coefficient is quite important (coefficient 2), then the score of the Capacity criterion is 3 x 2 = 6.
+ Mining time is average (3 points), the most important coefficient (coefficient 3) so the score of the Mining time criterion is 3 x 3 = 9.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points.
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is rated as average (2 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 2 x 2 = 4 points.
The total score for evaluating DLST in Quan Lan commune according to 6 evaluation criteria is determined as: 12 + 6 + 6 + 4 + 4 + 4 = 36 points.
Similar assessment with Minh Chau commune we have the following table:
Table 3.4: Assessment of the potential for developing humanistic eco-tourism in Quan Lan and Minh Chau communes
Attractiveness of human tourismliterature
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Quan CommuneLan
12
12
6
8
9
12
4
4
4
8
4
8
39/52
Minh CommuneChau
6
12
4
8
12
12
4
4
4
8
6
8
36/52
Basically, both Minh Chau and Quan Lan localities have quite favorable conditions for developing ecotourism. However, Quan Lan commune has more advantages to develop ecotourism in a humanistic direction, because this is an area with many famous historical relics such as Quan Lan Communal House, Quan Lan Pagoda, Temple worshiping the hero Tran Khanh Du, ... along with local festivals held annually such as the wind praying ceremony (March 15), Quan Lan festival (June 10-19); due to its location near the port and long exploitation time, the beaches in Quan Lan commune (especially Quan Lan beach) are no longer hygienic and clean to ensure the needs of tourists coming to relax and swim; this is also an area with many beautiful landscapes such as Got Beo wind pass, Ong Phong head, Voi Voi cave, but the ability to access these places is still very limited (dirt hill road, lots of gravel and rocks), especially during rainy and windy times; In addition, other natural resources such as mangrove forests and sea worms have not been really exploited for tourism purposes and ecotourism development. On the contrary, Minh Chau commune has more advantages in developing ecotourism in the direction of natural tourism, this is an area with diverse ecosystems such as at Rua De Beach, Bai Tu Long National Park Conservation Center...; Minh Chau beach is highly appreciated for its natural beauty and cleanliness, ranked in the top ten most beautiful beaches in Vietnam; Minh Chau commune is also home to Tram forest with a large area and a purity of up to 90%, suitable for building bridges through the forest (a very effective type of natural ecotourism currently applied by many countries) for tourists to sightsee, as well as for the purpose of studying and researching.
Figure 3.1: Thenmala Forest Bridge (India) Source: https://www.thenmalaecotourism.com/(August 21, 2019)
3.2.2. Using SWOT matrix to evaluate Quan Lan island tourism
General assessment of current tourism activities of Quan Lan island is shown through the following SWOT matrix:
Table 3.5: SWOT matrix evaluating tourism activities on Quan Lan island
Internal agent
Strengths- There is a lot of potential for tourism development, especially natural ecotourism and humanistic ecotourism.- The unskilled labor force is relatively abundant.- resource environmentunpolluted, still
Weaknesses- Poorly developed infrastructure, especially traffic routes to tourist destinations on the island.- The team of professional staff is still weak.- Tourism products in general
quite wild, originalintact
general and DLST in particularalone is monotonous.
External agents
Opportunity- Tourism is a key industry in the socio-economic development strategy of the province and Van Don economic zone.- Quan Lan was selected as a pilot area for eco-tourism development within the framework of the green growth project between Quang Ninh province and the Japanese organization JICA.- The flow of tourists and especially ecotourism in the world tends toincreasing
Challenge- Weather and climate change abnormally.- Competition in tourism products is increasingly fierce, especially with other localities in the province such as Ha Long, Mong Cai...- Awareness of tourists, especially domestic tourists, about ecotourism and nature conservation is not high.
Through summary analysis using SWOT matrix we see that:
To exploit strengths and take advantage of opportunities, it is necessary to:
- Diversify products and service types (build more tourism routes aimed at specific needs of tourists: experiential tourism immersed in nature, spiritual cultural tourism...)
- Effective exploitation of resources and differentiated products (natural resources and human resources)
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Building a Research Model of Factors Affecting Agribank's Brand Value -
Building a Scale and Research Model of Factors Affecting Customers' Decision to Choose a Bank to Deposit Savings at

Number | Content | Page | |
Table | 3.16 | Correlation between indicators, characteristic tests selected pedagogical staff in building a high-level badminton athlete model (n = 8) | After 73 |
3.17 | Correlation between indicators, characteristic tests selected psychology in building a model of high-level badminton athletes (n = 8 ) | 74 | |
3.18 | Define the purpose and evaluate biological characteristics indicators | After 84 | |
3.19 | Define goals and evaluate performance indicators violation | After 84 | |
3.20 | Identify goals and evaluate psychological characteristics | After 84 | |
3.21 | List of names of athletes experimenting with the training model for high-level male Badminton athletes | 94 | |
3.22 | First test results of biological indicators for National male team athletes in the high-level athlete training model (n=8) | After 95 | |
3.23 | First test results of pedagogical indicators in Training model for high-level male athletes (n=8) | After 95 | |
3.24 | First test results of psychological indicators in the training model of high-level male athletes (n=8) | 96 | |
3.25 | Second test results of biological indicators in the training model of high-level male athletes (n=8) | After 96 | |
3.26 | Second test results of pedagogical indicators in Training model for high-level male athletes (n=8) | After 96 | |
3.27 | Second test results of psychological indicators in the training model of high-level male athletes (n=8) | 97 | |
3.28 | Third test results of biological indicators in the training model of high-level male athletes (n=8) | After 97 | |
3.29 | Third test results of pedagogical indicators in the training model of high-level male athletes (n=8) | After 97 | |
3.30 | Third test results of psychological indicators in the model Training model for senior male athletes (n=8) | 99 | |
3.31 | Summary of competition achievements of senior male badminton players | After 98 | |
3.32 | Results of internal competition rankings of senior male badminton players (n=8) | 99 | |
3.33 | Comparison of 3 test results of male badminton players high level through biological, pedagogical and psychological values | After 100 | |
3.34 | Model of Vietnamese high-level male badminton athletes through biological, pedagogical and psychological values | After 100 | |
3.35 | Interview results of evaluation levels of training model for high-level male CL athletes (n=24) | After 100 |
Category
Number | Content | Page | |
Table | 3.36 | Interview results to identify the HL stages of high-level badminton athletes in practice (n=10) | 109 |
3.37 | Interview results on levels of selection and training of Badminton athletes | 111 | |
3.38 | Interview results to identify the subjects of the selection and training levels of Badminton athletes (n=11) | 111 | |
3.39 | Interview results to determine age and time of selection and training of Badminton athletes (n=16) | After 113 | |
3.40 | Interview results for selection of specific biological indicators represents athletes in the specialized stage | After 113 | |
3.41 | Results of determining biological indicators characteristic of athlete glands in the specialization stage | After 113 | |
3.42 | Interview results to select indicators and pedagogical tests specific to athletes in the specialization stage | After 113 | |
3.43 | Results of determining indicators, typical pedagogical tests for athletes in the specialized stage | After 113 | |
3.44 | Interview results to select indicators and psychological tests specific to athletes in the specialization stage | After 113 | |
3.45 | Results of determining indicators and psychological tests specific to athletes in the specialization stage | After 113 | |
3.46 | Statistics of the number of athletes tested according to the training routes Create a model for high-level badminton players | 114 | |
3.47 | Test results and normal distribution of biological indicators of level 3 athletes (n = 20) | 115 | |
3.48 | Test results and normal distribution of indicators, pedagogical tests of level 3 athletes (n = 20) | After 115 | |
3.49 | Test results and normal distribution of indicators Number, psychological test of level 3 athletes (n = 20) | After 115 | |
3.50 | Test results and normal distribution of biological indicators of level 2 athletes (n = 16) | After 115 | |
3.51 | Test results and normal distribution of indicators, pedagogical tests of level 2 athletes (n = 16) | After 115 | |
3.52 | Test results and normal distribution of indicators and psychological tests of level 2 athletes (n = 16) | After 115 | |
3.53 | Classification standards according to each index, test in assessment athlete selection price of level 3 athlete line | After 117 | |
3.54 | Scoreboard for each index and test in the athlete selection assessment of level 3 athletes | After 117 | |
3.55 | Classification criteria according to each index, test in athlete selection assessment of level 2 athlete line | After 117 | |
3.56 | Scoreboard for each indicator, test in assessment athlete selection price of level 2 athlete route | After 117 | |
3.57 | Comprehensive classification criteria in athlete selection of level 2 and level 3 athletes | 118 |
Category
Number | Content | Page | |
Table | 3.58 | Changes in indicators and tests in selected male level 3 badminton athletes after 1 year of training (n=20) | After 118 |
3.59 | Changes in indicators and tests in the selection of male level 2 badminton athletes after 1 year of training | After 118 | |
3.60 | Comparison of the overall ranking results in level 3 athlete selection between the standards developed by the thesis and standard of units (n = 20) | 120 | |
3.61 | Comparison of the overall ranking results in level 2 athlete selection between the standards developed by the thesis and standard of units (n = 16) | 120 | |
3.62 | Predicted results of indicators, testing to select level 2 athletes after 1 year of training | After 123 | |
3.63 | Compare the difference between the predicted results of the indicators, the selection test for level 2 athletes and the athlete group focus (defined athlete selection model) | After 123 | |
3.64 | Comparison of the number of level 3 athletes selected | 124 | |
3.65 | Comparison of the number of level 2 athletes selected | 125 | |
3.66 | Classification of TC standards for athletes of the foot-level 4 through indicators, biological, pedagogical and psychological tests according to the training model of high-level male CL athletes | After 136 | |
3.67 | Selection of talented athletes - level 4 through indicators, biological, pedagogical and psychological tests according to the training model of high-level male CL athletes (n=25) | After 136 | |
3.68 | Evaluation of results after 1 year of training for gifted athletes through indicators, biological, pedagogical and psychological tests according to the training model for high-level male CL athletes (n=25) | After 136 | |
Chart | 3.1 | Interview results of specific factors suitable for the structure and characteristics of high-level badminton athletes | 61 |
3.2 | Interview results on the characteristics of building a high-level badminton athlete model | 63 | |
3.3 | Correlation chart between characteristic factors | 65 | |
3.4 | Test results and normal distribution of biological indicators of level 3 athletes (n = 20) | After 115 | |
3.5 | Test results and normal distribution of indicators, pedagogical tests of level 3 athletes (n = 20) | After 115 | |
3.6 | Test results and normal distribution of indicators and psychological tests of level 3 athletes (n = 20) | After 115 | |
3.7 | Test results and normal distribution of indicators Biometrics of Level 2 Athlete Lines (n = 16) | After 115 | |
3.8 | Test results and normal distribution of indicators, pedagogical tests of level 2 athletes (n = 16) | After 115 |
Category
Number | Content | Page | |
Chart | 3.9 | Test results and normal distribution of indicators and psychological tests of level 2 athletes (n = 16) | After 115 |
3.10 | Dispersion level of results before and after TC gifted athletes of the athlete base line of biological characteristic indexes (n=25) | After 136 | |
3.11 | Growth rate before and after TC gifted athletes of the athlete's foot line of biological characteristics (n=25) | After 136 | |
3.12 | Dispersion of results before and after TC athlete year 2 athlete's aptitude for the base of pedagogical characteristics indicators (n=25) | After 136 | |
3.13 | Growth rate before and after TC gifted athletes of the athlete's line of the pedestal of the pedagogical characteristics index (n=25) | After 136 | |
3.14 | Dispersion of results before and after TC athletic training Athlete model aptitude of psychological characteristics indexes (n=25) | After 136 | |
3.15 | Pre- and post-TC growth rate of gifted athletes of the athlete base model of psychological characteristics indexes reason (n=25) | After 136 | |
Diagram | 1.1 | High level athlete model | 31 |
1.2 | System of athlete training management organizations in Vietnam | 41 | |
1.3 | Athlete training system and characteristics of athlete training stages | 42 | |
3.1 | Factors determining the training of master level athletes | 76 |
Category
INTRODUCTION
In our country, high-performance sports play an important role in the development of physical education and sports in general, improving human health and capacity, having a great effect in strengthening solidarity and friendship between nations and ethnic groups and contributing to enhancing the prestige and position of the country. High-performance sports (HSS) are training, education, practice and competition activities of coaches and athletes; in which, high achievements and sports records are considered cultural values, human strength and capacity. The Law amending and supplementing a number of articles of the Law on Physical Education and Sports (2018) clearly states: "HSS is a systematic sports training and competition activity of coaches and athletes to achieve sports achievements and records" [52].
TTTTC is the development and enhancement of the maximum potential of individuals and groups in terms of body shape, physiological functions, psychological qualities, physical qualities and techniques - tactics to achieve excellent competition results, through training, competition in a systematic and scientific manner. The characteristics of TTTTC are: high competition artistry, requiring athletes to undergo many years of strict training; strictly comply with competition rules and regulations; competition results are recognized by society; Athletes are representatives of organizations, countries or localities competing with clear purposes [8].
The ultimate goal of TTTTC is to reveal and exploit the maximum level of human physical potential expressed through their highest sports achievements. The main components of TTTTC are closely related to each other, including: selection (TC) of young sports talents, athlete training, sports competitions, conditions to ensure improved sports achievements... Among the above factors, athlete training is an important step in the multi-year training process. The process of training and fostering high-level athletes is a continuous scientific process, closely linked to the process of scientific training and scientific management according to the orientation of the characteristics of motor ability, psychology, as well as anatomical and physiological qualities, forming a comprehensive potential to achieve high achievements in that sport. Orientation characteristics
In the process of training high-level athletes, research is done for each subject of a specific sport and built into a high-level athlete model. [7]
The model of elite athletes or specifically the model of outstanding athletes' characteristics is the general characteristic of the structure of elite athletes' competitive ability. The competitive ability of athletes required to participate in professional competitions is made up of physical strength and body function (physical strength), skills, tactical ability, psychological ability, and intellectual ability. The structure of each athlete's competitive ability has different characteristics, but the structure of elite athletes' competitive ability has common characteristics. Building a model of elite athletes' characteristics can scientifically generalize and accurately describe these common characteristics, to provide a system of standards to determine training goals to improve competition ability; at the same time, it has the effect of orienting the talent training and basic training for young athletes. Building a competitive ability structure model of elite athletes is usually to collect a system of values of certain numbers of indicators of elite athletes' competitive ability, to statistically process them into a quantitative or quantitative and qualitative structural model. With the continuous development of competition level, the competitive ability structure model of athletes must also be adjusted and supplemented. Each athlete refers to the competitive ability structure model, determines his/her training goals, arranges the training plan, needs to think about personal characteristics, and pay attention to maintaining and promoting personal ability advantages. [8]
In developed countries, athlete training is not only based on innate factors, genetics, talent, and not simply based on training factors, the hard work of athletes, but sports training must be a combination of advanced science, forming a technological process of training athletes. It is a scientific training process with a combination of many aspects, many solutions such as biomedicine (physiology, biochemistry, biomechanics, genetics, anatomy), engineering, psychology... in which the impact of science and technology on this field accounts for an increasingly high proportion. Therefore, applying the achievements of scientific subjects to the process of training, training, and training to improve sports performance is of great significance.
Badminton (Badminton) is a sport that was born and developed a long time ago in the world and has been included in the competition program at the Olympic Games, ASIAD and SEA Games. In recent years, badminton in Vietnam is one of the sports that has developed widely among the masses, playing an important role in improving health and solidarity for everyone to practice and compete. Along with the development of badminton in the direction of widespread development, the sports industry always pays attention to training a team of high-level badminton coaches and athletes to meet the training requirements of the TTTTC in domestic and international tournaments. In the Strategy for the Development of Vietnam's Sports to 2020, badminton is identified as one of the key sports that receive key investment. In the international arena, Vietnamese CL athletes have achieved certain successes and there have been athletes reaching world class level such as: Nguyen Tien Minh, Vu Thi Trang, Nguyen Thuy Linh, Duong Bao Duc, Thai Thi Hong Gam Nguyen Hoang Nam, Do Tuan Duc... Vietnam's CL competition achievements in recent years have achieved certain results at the SEA Games, Asian and world tournaments. [121]
The training of high-level male athletes in many sports in general and in CL in particular is carried out at national sports training centers and athlete training centers in localities. However, during the training and training process, coaches only evaluate training level (TĐTL) through specific pedagogical indicators (physical strength, technique - tactics, competition), and do not regularly evaluate through specific indicators of morphology, function, and psychology according to the high-level athlete model in a scientific manner. This leads to the results of training high-level male athletes in CL not achieving the desired results, not meeting the goal of being equal to the regional level; Evaluating the effectiveness of the training process and testing the physical fitness of high-level athletes only depends on professional ability and competition ability, and cannot evaluate the level of performance and level of athletes through the body's endurance in terms of biomedicine and psychology, thereby helping coaches make appropriate adjustments to improve performance during the training process.


![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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