(if any), therefore, there are differences in the number and names of the types of Reports. For example, for the Financial Performance Report (some enterprises prepare Financial Performance Reports in the form of Profit and Loss Report (Appendix 10), Profit and Loss Analysis Table (Appendix 11); Report on revenue structure by product, field (Appendix 12); Report on the company's comprehensive travel business performance in the year N/N-1 (Appendix No. 13); For the Customer Performance Report, 100% of the surveyed enterprises prepare a Basic Business Performance Report (Appendix 14) because this is a requirement of the Ministry of Culture, Sports and Tourism, General Department of Tourism; Customer Performance Report (Appendix 15); For large enterprises such as Ben Thanh Tourist, or Vietravel, information on the enterprise's performance is also shown in the Annual Report (Appendix No. 16a, 16b).
The results of a large-scale survey show that there are differences in the form of providing information on business performance between businesses of different sizes: 100% of large travel businesses prepare Annual Reports, Business Performance Reports, Comprehensive Travel Business Performance Reports, 85.71% prepare Customer Performance Reports; Meanwhile, 81.77% of SMEs prepare Business Performance Reports, 86.19% of SMEs prepare Comprehensive Travel Business Performance Reports, 69.06% of SMEs prepare Customer Performance Reports; And, the common point is that no travel business prepares separate Performance Reports on aspects of internal business process innovation, learning & development, and business responsibility to the community (Appendix 06).
To better understand the current situation of using various types of Business Performance Reports, the researcher continued to use the in-depth interview method (calling business managers). The interview results showed that business managers only required accountants to provide information on Business Performance of financial and customer aspects in the form of paper reports - this result is consistent with the results of the generalized survey (Appendix 06); There is no requirement to prepare detailed Business Performance Reports for each aspect (Internal Business Processes; Learning & Development; Business Responsibility to the Local Community), but only to provide information on results in end-of-term meetings (ie Quick Reports/Direct Oral Reports); Particularly for large enterprises listed on the stock exchange, information on non-financial Business Performance is presented in a part of the Annual Report (Appendix 16b).
3.3. Research results on factors affecting the implementation of management accounting to evaluate performance in travel businesses
3.3.1. Assessment of scale reliability
The reliability of the scales in this study was assessed through the Cronbach's Alpha coefficient in the data processing results from SPSS software (Appendix 17), specifically:
- Reliability of the QM factor - Enterprise size: The Cronbach's Alpha coefficient of the QM variable is 0.780, satisfying the condition >0.6. The total correlation coefficient of the observed variables QM 1,2,3 is 0.606; 0.636 and 0.614 respectively, all >0.3. The values in the Cronbach's Alpha if Item Deleted column are all <0.780. Therefore, the scales meet the criteria.
standard, good quality guaranteed
- Reliability of the NT factor - Senior managers' perception of the usefulness of KTQT in evaluating HRD: The Cronbach's Alpha coefficient of the NT variable is 0.751, satisfying the condition >0.6. The total correlation coefficients of the observed variables NT 1,2,3,4 are 0.700; 0.556; 0.555 and 0.386 respectively, all >0.3. The values in the Cronbach's Alpha if Item Deleted column are all <0.751 (excluding the value of the observed variable NT4). The observed variable NT4 has a Cronbach's Alpha if Item Deleted coefficient = 0.772, which is larger than the Cronbach's Alpha coefficient of the group, which is 0.751. However, the total item correlation coefficient of variable NT4 is 0.386 > 0.3 and the Cronbach's Alpha of the group is above 0.6, even greater than 0.7. Therefore, there is no need to remove variable NT4 in this case, the scale still meets the standard, ensuring good quality.
- Reliability of factor CC – Commitment of senior managers: Cronbach's Alpha coefficient of variable CC is 0.810, satisfying the condition >0.6. The total correlation coefficient of observed variables CC1,2,3 is 0.633; 0.691 and 0.660 respectively, all >0.3. The values in the Cronbach's Alpha if Item Deleted column are all <0.810. Therefore, the scales meet the standards, ensuring good quality.
- Reliability of the CL factor - Business strategy: Cronbach's Alpha coefficient of the CL variable is 0.808, satisfying the condition >0.6. The total correlation coefficient of the observed variables CL1,2,3,4 is 0.623; 0.622; 0.627 and 0.631 respectively, all >0.3. The values in the Cronbach's Alpha if Item Deleted column are all <0.808. Therefore, the scales meet the standards, ensuring good quality.
- Reliability of the VH factor - Corporate Culture: Cronbach's Alpha coefficient of the VH variable is 0.809, satisfying the condition >0.6. The total correlation coefficient of the observed variables VH1,2,3,4,5,6 is 0.682; 0.291; 0.635; 0.643; 0.621; and 0.633, respectively. Thus, all
The total correlation coefficients of the observed variables are all >0.3, except for the observed variable VH2 (0.291 <0.3), so the VH2 scale does not ensure quality and needs to be eliminated.
The results of the second test to test the reliability of the remaining scales of the VH factor are as follows: The Cronbach's Alpha coefficient of the VH variable is 0.849, satisfying the condition >0.6. The total correlation coefficient of the observed variables VH1,3,4,5,6 are 0.688; 0.652; 0.651; 0.641; and 0.675, respectively, all >0.3. The values in the Cronbach's Alpha if Item Deleted column are all <0.849. Therefore, the scales (VH1,3,4,5,6) meet the standards, ensuring good quality.
- Reliability of TDKT factor - Qualification of accounting staff: Cronbach's Alpha coefficient of TDKT variable is 0.840, satisfying the condition >0.6. The total correlation coefficient of observed variables TDKT 1,2,3,4,5 are respectively 0.632; 0.630; 0.656; 0.644 and 0.661, all >0.3. The values in the Cronbach's Alpha if Item Deleted column are all
< 0.840. Therefore, the scales meet the standards, ensuring good quality.
- Reliability of IT factor - IT system: Cronbach's Alpha coefficient of IT variable is 0.848, satisfying the condition >0.6. Total correlation coefficient of observed variables IT 1,2,3 are 0.673; 0.754 and 0.727 respectively, all >0.3. The values in Cronbach's Alpha if Item Deleted column are all <0.848. Therefore, the scales meet the standards, ensuring good quality.
- Reliability of the MTKD factor - Business environment: Cronbach's Alpha coefficient of the MTKD variable is 0.704, satisfying the condition >0.6. The total correlation coefficient of the observed variables MTKD1,2,3,4 is 0.516; 0.568; 0.569; and 0.358 respectively.
>0.3. The values in the Cronbach's Alpha if Item Deleted column are all <0.704 (excluding the value of the MTKD4 sub-variable). The observed variable MTKD4 has a Cronbach's Alpha if Item Deleted coefficient = 0.730 which is larger than the Cronbach's Alpha coefficient of the group which is 0.704. However, the total item correlation coefficient of the MTKD4 variable is 0.358 > 0.3 and the Cronbach's Alpha of the group is above 0.6, even greater than 0.7. Therefore, in this case, there is no need to remove the MTKD4 variable, the scale still meets the standard, ensuring good quality.
- Reliability of the TH factor - Conducting KTQT to evaluate the QHĐ: Cronbach's Alpha coefficient of the TH variable is 0.834, satisfying the condition >0.6. The total correlation coefficient of the observed variables TH 1,2,3,4 are 0.678; 0.641; 0.677 and 0.656 respectively, all >0.3. The values in the Cronbach's Alpha if Item Deleted column are all <0.834. Therefore, the scales meet the standards, ensuring good quality.
Table 3.9: Summary of Cronbach's Alpha test results of variables
Variable code
Variable name | Statistics of important variables close | ||
Total variable correlation coefficient | Overall Cronbach's Alpha if variable type | ||
QM | Business size: Cronbach's Alpha = 0.780 | ||
QM1 | Number of employees | .606 | .718 |
QM2 | Annual Revenue | .636 | .682 |
QM3 | Number of products/services | .614 | .708 |
NT | Senior managers' perceptions of the usefulness of QA in Performance evaluation: Cronbach's Alpha = 0.751 | ||
NT1 | Senior managers have knowledge of the techniques International Accounting Techniques to Evaluate Business Performance | .700 | .599 |
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Mobile Phone Usage in Hanoi Inner City Area
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- Test the relationship between demographic variables and consumer behavior for Mobile Marketing activities
The analysis method used is the Chi-square test (χ2), with statistical hypotheses H0 and H1 and significance level α = 0.05. In case the P index (p-value) or Sig. index in SPSS has a value less than or equal to the significance level α, the hypothesis H0 is rejected and vice versa. With this testing procedure, the study can evaluate the difference in behavioral trends between demographic groups.
CHAPTER 4
RESEARCH RESULTS
During two months, 1,100 survey questionnaires were distributed to mobile phone users in the inner city of Hanoi using various methods such as direct interviews, sending via email or using questionnaires designed on the Internet. At the end of the survey, after checking and eliminating erroneous questionnaires, the study collected 858 complete questionnaires, equivalent to a rate of about 78%. In addition, the research subjects of the thesis are only people who are using mobile phones, so people who do not use mobile phones are not within the scope of the thesis, therefore, the questionnaires with the option of not using mobile phones were excluded from the scope of analysis. The number of suitable survey questionnaires included in the statistical analysis was 835.
4.1 Demographic characteristics of the sample
The structure of the survey sample is divided and statistically analyzed according to criteria such as gender, age, occupation, education level and personal income. (Detailed statistical table in Appendix 6)
- Gender structure: Of the 835 completed questionnaires, 49.8% of respondents were male, equivalent to 416 people, and 50.2% were female, equivalent to 419 people. The survey results of the study are completely consistent with the gender ratio in the population structure of Vietnam in general and Hanoi in particular (Male/Female: 49/51).
- Age structure: 36.6% of respondents are <23 years old, equivalent to 306 people. People from 23-34 years old
accounting for the highest proportion: 44.8% equivalent to 374 people, people aged 35-45 and >45 are 70 and 85 people equivalent to 8.4% and 10.2% respectively. Looking at the results of this survey, we can see that the young people - youth account for a large proportion of the total number of people participating in the survey. Meanwhile, the middle-aged people including two age groups of 35 - 45 and >45 have a low rate of participation in the survey. This is completely consistent with the reality when Mobile Marketing is identified as a Marketing service aimed at young people (people under 35 years old).
- Structure by educational level: among 835 valid responses, 541 respondents had university degrees, accounting for the highest proportion of ~ 75%, 102 had secondary school degrees, ~ 13.1%, and 93 had post-graduate degrees, ~ 11.9%.
- Occupational structure: office workers and civil servants are the group with the highest rate of participation with 39.4%, followed by students with 36.6%. Self-employed people account for 12%, retired housewives are 7.8% and other occupational groups account for 4.2%. The survey results show that the student group has the same rate as the group aged <23 at 36.6%. This shows the accuracy of the survey data. In addition, the survey results distributed by occupational criteria have a rate almost similar to the sample division rate in chapter 3. Therefore, it can be concluded that the survey data is suitable for use in analysis activities.
- Income structure: the group with income from 3 to 5 million has the highest rate with 39% of the total number of respondents. This is consistent with the income structure of Hanoi people and corresponds to the average income of the group of civil servants and office workers. Those
People with no income account for 23%, income under 3 million VND accounts for 13% and income over 5 million VND accounts for 25%.
4.2 Mobile phone usage in Hanoi inner city area
According to the survey results, most respondents said they had used the phone for more than 1 year, specifically: 68.4% used mobile phones from 4 to 10 years, 23.2% used from 1 to 3 years, 7.8% used for more than 10 years. Those who used mobile phones for less than 1 year accounted for only a very small proportion of ~ 0.6%. (Table 4.1)
Table 4.1: Time spent using mobile phones
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Alid
<1 year
5
.6
.6
.6
1-3 years
194
23.2
23.2
23.8
4-10 years
571
68.4
68.4
92.2
>10 years
65
7.8
7.8
100.0
Total
835
100.0
100.0
The survey indexes on the time of using mobile phones of consumers in the inner city of Hanoi are very impressive for a developing country like Vietnam and also prove that Vietnamese consumers have a lot of experience using this high-tech device. Moreover, with the majority of consumers surveyed having a relatively long time of use (4-10 years), it partly proves that mobile phones have become an important and essential item in people's daily lives.
When asked about the mobile phone network they are using, 31% of respondents said they are using the network of Vietel company, 29% use the network of
of Mobifone company, 27% use Vinaphone company's network and 13% use networks of other providers such as E-VN telecom, S-fone, Beeline, Vietnammobile. (Figure 4.1).
Figure 4.1: Mobile phone network in use
Compared with the announced market share of mobile telecommunications service providers in Vietnam (Vietel: 36%, Mobifone: 29%, Vinaphone: 28%, the remaining networks: 7%), we see that the survey results do not have many differences. However, the statistics show that there is a difference in the market share of other networks because the Hanoi market is one of the two main markets of small networks, so their market share in this area will certainly be higher than that of the whole country.
According to a report by NielsenMobile (2009) [8], the number of prepaid mobile phone subscribers in Hanoi accounts for 95% of the total number of subscribers, however, the results of this survey show that the percentage of prepaid subscribers has decreased by more than 20%, only at 70.8%. On the contrary, the number of postpaid subscribers tends to increase from 5% in 2009 to 19.2%. Those who are simultaneously using both types of subscriptions account for 10%. (Table 4.2).
Table 4.2: Types of mobile phone subscribers
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Prepay
591
70.8
70.8
70.8
Pay later
160
19.2
19.2
89.9
Both of the above
84
10.1
10.1
100.0
Total
835
100.0
100.0
The above figures show the change in the psychology and consumption habits of Vietnamese consumers towards mobile telecommunications services, when the use of prepaid subscriptions and junk SIMs is replaced by the use of two types of subscriptions for different purposes and needs or switching to postpaid subscriptions to enjoy better customer care services.
In addition, the majority of respondents have an average spending level for mobile phone services from 100 to 300 thousand VND (406 ~ 48.6% of total respondents). The high spending level (> 500 thousand VND) is the spending level with the lowest number of people with only 8.4%, on the contrary, the low spending level (under 100 thousand VND) accounts for the second highest proportion among the groups of respondents with 25.4%. People with low spending levels mainly fall into the group of students and retirees/housewives - those who have little need to use or mainly use promotional SIM cards. (Table 4.3).
Table 4.3: Spending on mobile phone charges
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<100,000
212
25.4
25.4
25.4
100-300,000
406
48.6
48.6
74.0
300,000-500,000
147
17.6
17.6
91.6
>500,000
70
8.4
8.4
100.0
Total
835
100.0
100.0
The statistics in Table 4.3 are similar to the percentages in the NielsenMobile survey results (2009) with 73% of mobile phone users having medium spending levels and only 13% having high spending levels.
The survey results also showed that up to 31% ~ nearly one-third of respondents said they sent more than 10 SMS messages/day, meaning that on average they sent 1 SMS message for every working hour. Those with an average SMS message volume (from 3 to 10 messages/day) accounted for 51.1% and those with a low SMS message volume (less than 3 messages/day) accounted for 17%. (Table 4.4)
Table 4.4: Number of SMS messages sent per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
142
17.0
17.0
17.0
3-10 news
427
51.1
51.1
68.1
>10 news
266
31.9
31.9
100.0
Total
835
100.0
100.0
Similar to sending messages, those with an average message receiving rate (from 3-10 messages/day) accounted for the highest percentage of ~ 55%, followed by those with a high number of messages (over 10 messages/day) ~ 24% and those with a low number of messages received daily (under 3 messages/day) remained at the bottom with 21%. (Table 4.5)
Table 4.5: Number of SMS messages received per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
175
21.0
21.0
21.0
3-10 news
436
55.0
55.0
76.0
>10 news
197
24.0
24.0
100.0
Total
835
100.0
100.0
When comparing the data of the two result tables 4.4 and 4.5, we can see the reasonableness between the ratio of the number of messages sent and the number of messages received daily by the interview participants.
4.3 Current status of SMS advertising and Mobile Marketing
According to the interview results, in the 3 months from the time of the survey and before, 94% of respondents, equivalent to 785 people, said they received advertising messages, while only a very small percentage of 6% (only 50 people) did not receive advertising messages (Table 4.6).
Table 4.6: Percentage of people receiving advertising messages in the last 3 months
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Have
785
94.0
94.0
94.0
Are not
50
6.0
6.0
100.0
Total
835
100.0
100.0
The results of Table 4.6 show that consumers in the inner city of Hanoi are very familiar with advertising messages. This result is also the basis for assessing the knowledge, experience and understanding of the respondents in the interview. This is also one of the important factors determining the accuracy of the survey results.
In addition, most respondents said they had received promotional messages, but only 24% of them had ever taken the action of registering to receive promotional messages, while 76% of the remaining respondents did not register to receive promotional messages but still received promotional messages every day. This is the first sign indicating the weaknesses and shortcomings of lax management of this activity in Vietnam. (Table 4.7)
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Research on the Current Characteristics of Forest Resources and Factors Affecting Forest Resources Management in the National Park Area -
Research on factors affecting the quality of accounting information systems in Vietnamese traffic construction enterprises - 26 -
Factors affecting the application of management accounting in small and medium enterprises in Vietnam - 4

NT2
Senior managers appreciate the usefulness of QA techniques for evaluating Enterprise performance | .556 | .688 | |
NT3 | Senior managers have a high demand for Conducting management accounting to evaluate business performance. | .555 | .688 |
NT4 | Senior managers accept high costs in investing in implementing international accounting. to evaluate the business performance | .386 | .772 |
CC | Senior management commitment : Cronbach's Alpha = 0.810 | ||
CC1 | Senior management provides adequate resources for the organization of quality assurance to evaluate Enterprise performance | .633 | .768 |
CC2 | Senior management effectively communicates its support for the QMS to evaluate Enterprise's operating price | .691 | .708 |
CC3 | Senior managers exercise their authority in assisting the QA organization to evaluate Enterprise's operating price | .660 | .742 |
CL | Business Strategy: Cronbach's Alpha = 0.808 | ||
CL1 | New product introduction strategy | .623 | .760 |
CL2 | Product customization strategy according to demand of customers quickly | .622 | .758 |
CL3 | Market expansion strategy | .627 | .761 |
CL4 | Strategy to increase customer satisfaction | .631 | .758 |
VH | Corporate culture: Cronbach's Alpha = 0.849 | ||
VH1 | Financial regulations, personnel, rewards, penalties, and supplements recruitment | .688 | .812 |
VH3 | Managerial support for employees | .652 | .820 |
VH4 | Employee cooperation | .651 | .820 |
VH5 | Consensus on development goals | .641 | .825 |
VH6 | Building internal and external corporate image | .675 | .813 |
TDKT | Accountant's Qualifications: Cronbach's Alpha = 0.840 | ||
TDKT1 | Accountant's Degree | .632 | .811 |
TDKT2 | Understanding the business characteristics of the enterprise | .630 | .811 |
TDKT3
Information technology skills | .656 | .804 | |
TDKT4 | Finance and management accounting major | .644 | .807 |
TDKT5 | Creativity | .661 | .804 |
IT | IT System: Cronbach's Alpha = 0.848 | ||
IT1 | Flexible IT systems enable the collection, analysis and reporting of relevant data to support KTQT in assessing the performance of its operations. DN. | .673 | .830 |
IT2 | The IT system provides a complete and updated database to support KTQT in performing Business Performance Evaluation | .754 | .752 |
IT3 | Accounting software can connect with other applications/software in the enterprise (if any) so that accountants can enter and retrieve data for service. for the assessment of business performance | .727 | .780 |
MTKD | Level of competitiveness of the business environment: Cronbach's Alpha = 0.704 | ||
MTKD1 | Price competitiveness | .516 | .634 |
MTKD2 | Level of competition in product development new product | .568 | .602 |
MTKD3 | Level of competition in distribution channels distribution/marketing | .569 | .589 |
MTKD4 | Level of competition in terms of market share/revenue | .358 | .730 |
TH | Conducting KTQT to evaluate QHĐ: Cronbach's Alpha = 0.834 | ||
TH1 | Establish a system of evaluation indexes | .678 | .783 |
TH2 | Collect data for performance evaluation | .641 | .800 |
TH3 | Data processing, information analysis for evaluation Enterprise performance | .677 | .784 |
TH4 | Provide information on business operations | .656 | .793 |
(Source: NCS synthesized from results of SPSS 20.0)
Conclude:
After analyzing reliability, the calculated results of Cronbach's Alpha coefficient of all variables were greater than 0.6; 36 scales ensuring reliability were included in the EFA exploratory factor analysis.
3.3.2. Exploratory factor analysis
Exploratory factor analysis (EFA) was performed after the reliability test of the scale to examine the convergence level of observed variables according to each group of factors (independent variables) and the discriminant value between factors.
In this thesis, the researcher used Varimax rotation of the factors and obtained the following results (Appendix No. 17):
- For independent variables:
+ KMO coefficient = 0.864 is in the range [0.5; 1], so EFA analysis is suitable for research data.
+ Bartlett's test has statistical significance Sig. = 0.000 < 0.05, showing that the observed variables are correlated with each other in the population.
+ Total extracted variance: Rotation Sums of Squared Loadings (Cumulative %)
= 66.46% > 50 %. This shows that 66.46% of the variation in the data is explained by 8 factors.
+ Eigenvalue = 1.189 > 1 at the 8th factor, so the 8 factors extracted from EFA have the best summary meaning of the observed variables.
+ All observed variables have factor loadings > 0.5
The table of results of the rotated matrix of factors shows that: Most of the observed variables converge to the same group and identify 08 influencing factors as proposed by the empirical research model; Only the variable NT4 "Senior managers accept high costs in investing in implementing management accounting to evaluate the performance of enterprises" converges to the group of the CC factor "Commitment of senior managers", but based on the names of the observed variables, the CC factor still retains its original name.
- For dependent variable:
+ KMO = 0.801 is in the range [0.5; 1] so factor analysis is appropriate.
+ Sig. (Bartlett's Test) = 0.000 (sig. < 0.05) shows that the observed variables are correlated with each other in the population.
+ The rotation matrix results show that there is a factor extracted from the observed variables and put into EFA analysis. The explained variance is 66.72% at eigenvalue 2.669 > 1.
3.3.3. Pearson correlation analysis
To perform a pearson correlation analysis, a new variable must first be created to represent a group of variables (by taking the mean of the observed variables that have converged to
same factor from the EFA results table above) with:
The variable QM represents the variables QM1, QM2, QM3. The variable NT represents the variables NT1, NT2, NT3.
The variable CC represents variables CC1, CC2, CC3 and NT4. The variable CL represents variables CL1 to CL4.
Variable VH represents variables VH1, VH3, VH4, VH5, VH6. Variable TDKT represents variables from TDKT1 to TDKT5. Variable IT represents the group of variables from IT1 to IT3. Variable MTKD represents the group of variables from MTKD1 to MTKD4. Variable TH represents the group of variables from TH1 to TH4.
Table 3.10: Variable grouping table
Great change
area
Variable observe | Observation variable name | Group name (Total variable) | |
QM | QM1 | Number of employees | Business size career |
QM2 | Annual Revenue | ||
QM3 | Number of products/services | ||
NT | NT1 | Senior managers have knowledge of the techniques of international accounting to evaluate performance. of the enterprise | Senior managers' perceptions of the usefulness of management accounting in evaluating performance |
NT2 | Senior managers appreciate the usefulness of international accounting techniques for evaluating Enterprise's operating price | ||
NT3 | Senior managers have high demands on implementing management accounting to evaluate business performance. | ||
CC | CC1 | Senior management provides adequate resources for the organization of international accounting to evaluate Enterprise's operating price | Senior Management Commitment |
CC2 | Senior managers effectively communicate its support for the organization of international accounting to evaluate the performance of enterprises |
CC3 | Senior managers exercise their authority in supporting the organization of international accounting. to evaluate the business performance | ||
NT4 | Senior management accepts high costs in investing in implementation costs. International Accounting to evaluate business performance | ||
CL | CL1 | New product introduction strategy | Business strategy |
CL2 | Product customization strategy according to demand customer needs quickly | ||
CL3 | Market expansion strategy | ||
CL4 | Strategy to increase customer satisfaction row | ||
VH | VH1 | Financial regulations, personnel, rewards, penalties, appointment, recruitment | Corporate culture |
VH3 | Managerial support for employees | ||
VH4 | Employee cooperation | ||
VH5 | Consensus on development goals | ||
VH6 | Building an internal and external image DN | ||
TDKT | TDKT1 | Accountant's Degree | Qualifications of accountants |
TDKT2 | Understanding the business characteristics of the enterprise | ||
TDKT3 | Information technology skills | ||
TDKT4 | Finance and management accounting major | ||
TDKT5 | Creativity | ||
IT | IT1 | Flexible IT systems enable the collection, analysis and reporting of relevant data for KTQT to conduct assessments. Enterprise's Board of Directors. | IT systems |
IT2 | The IT system provides a complete and updated database to support KTQT. Conducting business performance assessment | ||
IT3 | Accounting software can connect with other applications/software in the enterprise (if |


![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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