According to Pharphell, energy consumption in football is 1500 kcal/match, basketball is 900 kcal/match, volleyball is 10 kcal/match [16], [25], [26].
1.3.3. Characteristics of motor abilities of elite female soccer athletes and the menstrual cycle.
During training, special attention should be paid to the physiological changes that occur in the female athlete's body related to the menstrual cycle. The female menstrual cycle is a physiological process caused by changes in the activity of the gonads, which is repeated in a 27-28 day cycle starting when the female body reaches sexual maturity, around 12-14 years old, and ending at menopause (after 45-50 years old). The female menstrual cycle is divided into 4 periods: pre-ovulation, ovulation, post-ovulation and the quiescent period. During the pre-ovulation and ovulation periods of the menstrual cycle, the functions of the body's organ systems change significantly. Central nervous system excitability increases, heart rate increases, and blood pressure increases slightly. In some female athletes, the overall physical activity capacity during the menstrual cycle decreases. However, the general physical performance as well as the individual physical performance indicators of female athletes have large individual fluctuations during the menstrual cycle. In some female soccer players, during the menstrual cycle, the physical performance not only does not decrease but also increases.
During the pre- and post-menstrual period, the recovery process is often prolonged. Heavy exercise with a high static exertion nature can increase blood volume and prolong the menstrual period of female athletes. Large amounts of training and competition as well as strong psychological stress in sports competitions can slow down the sexual maturation of adolescent girls and cause menstrual disorders in young women. However, the menstrual cycle must be considered a normal physiological phenomenon and female athletes can completely participate in training and competition if they are closely monitored and have appropriate individual treatment measures [16], [25], [26] .
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Building Standards to Assess the Training Level of Vietnamese High-Level Female Soccer Athletes. -
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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Basic Hematological Indexes of Vietnamese High-Level Female Badminton Players and High-Level Female Athletes of Some Vietnamese Sports -
Research on Selecting Indicators and Characteristic Tests to Identify Models of High-Level Vietnamese Female Badminton Players -
Comparison of Technical Test Results of Vietnamese High-Level Female Badminton Players and Female Players in the Research Project of Author Dam Tuan Khoi
1.4. Theoretical basis for testing and evaluating the training level of high-level female soccer athletes.

1.4.1. Principles in testing and evaluating the training level of high-level female soccer athletes.
General principles for assessing the training level of high-level female soccer athletes include: synthesis, multi-time study, frequency and individuality in assessment [3], [27], [45], [67].
Comprehensive research: Comprehensive research (all aspects) of the body's functional reserve capabilities, mainly research of functional systems that determine high motor capacity in the chosen sport. Comprehensive research contributes to discovering mutual relationships in the activity of separate functions of the body, discovering individual characteristics of adaptation to physical exercise.
Multi-temporal nature of the study: This means that the study of athletes is conducted not only in a state of rest, but also while the athlete is performing various physical activities and during the recovery phase. This assessment ensures the ability to accurately explore the functional state of the body, the athlete's mobility and training status. The study is conducted during exercise and at different stages of the recovery process, allowing for an accurate assessment of the changes that occur at the peak of exercise as well as from a state of rest to a state of movement and vice versa in the athlete's body. The characteristics of the changes in functional indicators allow for an accurate assessment of the functional state of the body.
Regularity: Regular monitoring, even just conducting research in a quiet state, of indicators such as pulse rate, blood pressure, electrocardiogram... also allows detecting changes in the development of training level.
Individuality: When evaluating research indicators, age, health status, personal characteristics, and type of sport participated should be taken into account.
The results of each athlete's research are not only compared with the standard (average) indicators, but also compared with the athlete's own values when he or she is at peak athletic fitness. The degree of fluctuation of individual indicators can be very significant, even in different athletes with the same level of training. Training level is a comprehensive concept, so the assessment method must also be comprehensive. Training level needs to be determined on the basis of research and comparison of all three aspects: pedagogical, psychological and medical, assessed through groups of pedagogical, psychological and biomedical tests. When diagnosing factors for assessing training level, in sports medicine, the main assessment is the changes in body function, motor capacity (work capacity) and adaptation to the amount of physical activity that occurs in full accordance with the changes in the general training state. In high-level athletes who have achieved their athletic performance, indicators reflecting the level of technical and tactical preparation are often more stable than indicators of functional status during the season. Functional status is one of the most important objective criteria for adjusting the volume and intensity of training accordingly.
The important criterion of sports performance is sports performance. However, sports performance is a synthesis, depending on a series of additional interwoven factors such as: the athlete's psychological state on the competition day, the competition location and conditions, the sports level of the competitors... so it is necessary to evaluate the different aspects of sports performance separately. Only when taking into account all factors can a training plan be developed, weaknesses in athlete training be discovered and adjusted in a timely manner [45], [67], [68].
1.4.2. Forms of testing and evaluating the training level of high-level female soccer athletes.
One of the important tasks of pedagogical testing in sports training is to check the condition of athletes. It can be divided into basic forms
The test to assess the condition of football athletes is divided into three forms: [27], [42], [47]
Instantaneous testing: The purpose of this form is to assess the athlete's condition at a certain point in time.
The training effect (such as changes that occur in the body during the exercise and during the recovery periods) will be determined during the immediate test. The practical direction of this form of testing is primarily to assess the recovery of the athlete after performing an exercise or a combination of exercises. After performing an exercise, the body will undergo a rest and recovery period, each of which will be distinguished by indicators of muscle work capacity such as strength, speed, endurance and motor coordination. In the first stage of rest, all indicators of the body's work capacity are at a lower level than the starting level; in the second stage, the indicators of strength and speed are at a higher level than the starting level and the endurance is lower; in the third stage, all indicators are slightly higher than the initial starting level. Considering and calculating this rule can indicate the direction of impact on the development of football athletes' abilities [22], [28], [31].
With the help of technical means, it is possible to assess the level of recovery after performing exercises. For example, using a dynamometer to determine the stiffness index of the main muscles ensures the performance of training exercises. When there are no such means, to assess the immediate state of the athlete, the coach can use the pulse index. The optimal pulse that shows the athlete's readiness to repeat the exercise in a section under 80m without reducing running speed is about 115 - 118 times/minute [34]. A very important task solved during the immediate test is the adjustment of the athlete's volume during the training hour. Its significance is shown in helping the coach determine the correct number of repetitions of exercises or combinations of exercises in a training session. In training, the use of immediate testing measures
will help ensure immediate training effectiveness and impact on the development of the most important abilities of football players.
Regular check: To determine daily fluctuations in the athlete's physical condition. Daily check is to ensure optimal compatibility between the athlete's functional abilities and the amount of exercise during the day. This check is usually done early in the morning during training. To conduct this check, the pulse rate can be used (measured right in bed when the athlete wakes up). In cases where recovery is not complete, physical or mental fatigue, or the training regimen is incorrect, etc., the pulse rate will be lower than normal. A normal pulse rate is determined during a period when there is no large amount of exercise and the body is fully recovered in terms of physical strength and other abilities and is ready for the next training session. For example, with soccer players, the pulse at rest is about 60 beats/minute. If the test result is lower than 150 beats/minute, it means that the amount of exercise in the previous day was too great [27], [42], [47].
Evaluation through pulse index allows to check daily developments in the athlete's body state and can be actively adjusted by training means.
Phase testing: To evaluate and conclude on the athlete's condition after a training period. Each of the above testing forms has its own tasks and evaluation indicators. This type of testing is performed through tests whose results are less dependent on the daily fluctuations in the athlete's condition. Phase testing can be used in two ways [3], [9], [23].
Logical method when the factors are consistent with the test results. In this case, it is necessary to know the pedagogical, biomechanical, physiological and biochemical indicators of the competition exercises and tests.
Experimental method when calculating the dependence between the performance of the competition exercise and the test results. The phase test can also be applied in accordance with the characteristics of the athlete, considered as a separate standard. In cases where injury is avoided due to having to perform many test exercises with maximum intensity during the year, it is possible to choose some tests to evaluate the main tasks of the training phase.
With the purpose of using different types of tests in assessing the performance of high-level football athletes, it can be seen that: Coaches can choose one of the above types of tests. However, the use of the necessary stage test type must be considered mandatory in assessing the performance of athletes. Because assessing the performance of athletes in a training stage will help coaches know the effectiveness of the training stage to promptly adjust the training process accordingly in the next training stages. In addition, when using the stage test form, it is also necessary to combine it with regular and instantaneous tests, thus allowing the collection of additional information necessary to accurately assess the performance of athletes [13], [61], [63], [69].
1.4.3. Methods of testing and evaluating the training level of high-level female soccer athletes.
Assessment of physical fitness in selection and training is always highly regarded by experts around the world. Scientists and coaches at home and abroad are always interested in this issue. Therefore, assessment of physical fitness of athletes at all levels according to age, gender and specialized sport is very meaningful in terms of practice and theory. Author Nguyen Toan (1998) said: "Physical fitness is a complex alloy of many components, many aspects of morphology, function, psychology, physical strength, with the concept of multi-component structure of physical fitness, sports performance is determined by a series of factors" [62]. Therefore, it is possible to study physical fitness from different aspects such as: pedagogy, psychology, medicine, society.
According to author Nguyen The Truyen and colleagues (2002), "The assessment of athletes' physical fitness is important and indispensable in the process of selecting and training athletes. The results of the assessment and evaluation help coaches have objective and reliable information to adjust training plans in a reasonable and scientific manner." With such importance, the assessment of athletes' physical fitness will be fundamentally and synchronously solved by pedagogical, biomedical and psychological research methods [69].
The basic principle of assessing the motor skills is to solve a synthesis of two or three simple but authentic tests that reflect different aspects of the motor skills, providing a much more useful amount of information than using complex equipment and dozens of indicators, but these indicators do not cover all the main factors. When assessing the motor skills, it is necessary to pay attention to genetic factors. The formation and development of the body, basic adaptive reactions, the functional capacity of the system that ensures energy for the body to perform motor activities, the pace and level of development of motor qualities. High motor skills are the result of close coordination and unity of the body's functional systems involved in the process of solving complex motor tasks [3], [13], [25], [41].
According to the authors Trinh Hung Thanh and Le Nguyet Nga (1993): “Physical fitness testing is conducted in certain stages of the training process, using appropriate testing methods and tools (instruments and means). Through testing, information reflecting the athlete's physical fitness can be obtained. The content of physical fitness testing includes body shape and function, motor qualities, techniques, tactics, and psychological qualities. Testing requires reliability (repeated test results are similar), effectiveness (test results can accurately reflect a certain aspect of physical fitness), and objectivity (different testers give the same test results on the same test subject)” [57, p. 79].
Pedagogical research methods allow to assess the level of development of motor qualities, coordination ability and technical level of athletes.
Biomedical research methods have been widely used in the field of sports research. Biomedical test results help us to correctly evaluate the functions of the organs of the athlete's body. It plays a particularly important role in assessing the physical fitness level of the athlete.
Psychological research methods are methods aimed at examining the psychological characteristics of athletes that affect the performance of training and competition tasks.
From the above analysis, it can be seen that the physical fitness of athletes in general and football in particular is the adaptive changes in biomedical factors suitable to the characteristics of football through the training and competition process, along with the ability to perfect technical and tactical factors and the increasing level of development of physical and psychological qualities, meeting the requirements of developing sports achievements in football. Therefore, football achievements are made up of morphological, physical, technical, tactical, psychological and functional factors of athletes; accordingly, the methods of testing and evaluating physical fitness of football athletes include:
Biomedical testing methods.
Applying biomedical testing methods to study the structural and functional characteristics of body organs plays a particularly important role in assessing physical fitness levels that are closely related to the development of body organs and organ systems. To accurately assess the level of anatomical and functional development of the body's organs, it is necessary to conduct tests on athletes in all states including: rest and movement, especially the state of maximum exertion.
Biomedical testing methods in resting state: Anatomical and functional characteristics of organs such as the motor, respiratory, and cardiovascular systems in resting state.


![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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