- Positive aspects group: assessment of job satisfaction, work motivation, and growth needs of employees.
- Negative aspects group: assessment of job dissatisfaction, maintaining work to survive, work pressure of employees.



Table 1-02: Comparison of positive and negative characteristics of satisfaction
Theory
Positive | Negative | |
Maslow (1943) 5-Level Needs Theory Actual Value (D) Expected value (E) | (D) > (E): satisfy, meet the need for self-esteem, self-expression. | (D) = (E): maintain, meet physiological, safety, social needs. (D) < (E): dissatisfaction or maintenance of life |
Adam (1963) Equity Theory Output (O) Input (I) | (O)-(I) > 0 & (O)-(I) ≥ colleagues: fairness, satisfaction; contribute more effort | (O)-(I) ≥ 0 & (O)-(I) < colleague: unfair, less effort (O)-(I) < 0 & (O)-(I) < colleagues: dissatisfaction or maintaining life |
McClelland (1988) Achievement theory Need for achievement (A) Need for power (P) Need for affiliation (R) | (A) contributes to creating work motivation and increasing work efficiency | (P) focus on status, company position (R) focus on relationships with colleagues and superiors |
Vroom (1964) Expectancy Theory Expectancy (E) Instrumentality (I) Valence (V) Reward (R) | (E)x(I)x(V) > (R): creates motivation to work | (E)x(I)x(V) = (R): does not create motivation to work (E)x(I)x(V) < (R): dissatisfaction, maintaining life |
Hacman & Oldham (1975) Job characteristics model Skill Variety (V); Job Identity (I); Job Importance (S); Decision Making (A); Feedback (F)
| High MPS: creates motivation to work, high work performance | Low MPS: no motivation to work, need to redesign work |
Herzberg (1959) Two-Factor Theory Motivation (M) Hygiene (H) | Motivational factor (M) Achievement Recognition of achievements Interest in work Career advancement Growth, maturity | Hygiene factors (H) Working conditions Quality of supervision Salary Status, company position Safety Teamwork Nature of work Policies and regulations Personal relationships |
Alderfer (1969) ERG Theory Existence needs (E) Relatedness needs (R) Growth demand (G) | (G) strengthen (G) (R) promotion (G) | (G) reverse (R) (E) promotion (R) (R) reverse (E) |
Kreitner & Kinicki (2007) Organizational Behavior Model Job Satisfaction (J) Stress (S) Motivation (M) Belief, ethics (E) Learning, decision (L) | (J), (M), (E), (L) | (S) |
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Some Key Solutions to Promote Positive Changes and Limit Negative Changes of Socialist Production Relations in -
Solutions to Promote the Positive Sides and Limit the Negative Effects of Urbanization -
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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Car body electrical practice - 8
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If the voltage is out of specification, replace the wire or connector.
If the voltage is within specification, install the front fog light relay and follow step 5.
Step 5 Check the front fog light switch
- Remove the D4 connector of the fog light switch
- Use a multimeter to measure the resistance of the front fog light switch.
Measurement location
Condition
Standard
D4-3 (BFG) -D4-4 (LFG)
Light switchFront Fog OFF
>10kΩ
D4-3 (BFG) -D4-4 (LFG)
Front fog light switchON
<1 Ω
- Standard resistor
D4 connector is located on the combination switch assembly.
If the resistance is out of specification, replace the combination switch (the fog light switch is located in the combination switch).
If the resistance is within specification, follow step 6.
Step 6 Check wiring and connectors (front fog light relay-light selector switch)
- Disconnect connector D4 of the combination switch assembly
- Use a voltmeter to measure the voltage value of jack D4 on the wire side.
Measurement location
Control modecontrol
Standard
D4-3 (BFG) - (-) AQ
TAIL
11 to 14 V
D4 connector for the wiring of the combination switch assembly
If the voltage does not meet the standard, replace the wire or connector.
If the voltage is within standard, there may have been an error in the previous measurements.
Step 7 Check the front fog lights
- Remove the front fog light electrical connector.
- Supply battery voltage to the fog lamp terminals
Jack 8, B9 of front fog lamp on the electrical side
blind first.
Power supply location
Terms and Conditions
Battery positive terminal - Terminal 2Battery negative terminal - Terminal 1
Fog lightsbefore morning
- If the light does not come on, replace the bulb.
If the light is on, re-plug the jack and continue to step 8.
Step 8 Check wiring and connectors (relay and front fog lights)
- Disconnect the B8 and B9 connectors of the front fog lights.
- Use a voltmeter to measure voltage at the following locations:
Measurement location
Switch location
Terms and Conditions
B8-2 - (-) AQ
Electric lock ON TAIL size switchFog switch ON
11 to 14 V
B9-2 - (-) AQ
Electric lock ONTAIL size switch Fog switch ON
11 to 14 V
B8 and B9 connectors on the front fog lamp wiring side
Voltage is not up to standard, repair or replace the jack. If up to standard, there may have been an error in the measurement process.
2.2.4. Procedure for removing, installing and adjusting fog lights 1. Procedure for removing
- Remove the front inner ear pads
Use a screwdriver to remove the 3 screws and remove the front part of the front inner ear liner
-Remove the fog light assembly
+ Disconnect the connector.
+ Use a screwdriver to remove 3 screws to remove the fog light cover
2. Installation sequence
-Rotate the fog lamp bulb in the direction indicated by the arrow as shown in the figure and remove the fog lamp from the fog lamp assembly.
-Rotate the fog light bulb in the direction indicated by the arrow as shown in the figure and install the light into the fog light assembly.
- Use a screwdriver to install the fog light cover
-Install the electrical connector
Attention: Be careful not to damage the plastic thread on the lamp assembly.
- Install the front inner ear pads
Use a screwdriver to install the front inner bumper with 3 screws.
3. Prepare the vehicle to adjust the fog light convergence. Prepare the vehicle:
- Make sure there is no damage or deformation to the vehicle body around the fog lights.
- Add fuel to the fuel tank
- Add oil to standard level.
- Add engine coolant to standard level.
- Inflate the tire to standard pressure.
- Place spare tire, tools and jack in original design position
- Do not leave any load in the luggage compartment.
- Let a person weighing about 75 kg sit in the driver's seat.
4. Prepare to check the fog light convergence
a/ Prepare the vehicle status as follows:
- Place the car in a dark enough place to see the lines. The lines are the dividing line, below which the light from the fog lights can be seen but above which it cannot.
- Place the car perpendicular to the wall.
- Keep a distance of 7.62 m between the center of the fog lamp and the wall.
- Park the car on level ground.
- Press the car down a few times to stabilize the suspension.
Note: A distance of approximately 7.62 m is required between the vehicle (fog lamp center) and the wall to adjust the convergence correctly. If the distance of 7.62 m cannot be achieved, set the correct distance of 3 m to check and adjust the fog lamp convergence. (Since the target area varies with the distance, please follow the instructions as shown in the figure.)
b/ Prepare a piece of thick white paper about 2 m high and 4 m wide to use as a screen.
c/ Draw a vertical line through the center of the screen (line V).
d/ Set the screen as shown in the picture. Note:
- Keep the screen perpendicular to the ground.
- Align the V line on the screen with the center of the vehicle.
e/Draw the reference lines (H, V LH and V RH lines) on the screen as shown in the figure.HINT:
Mark the center of the fog lamp on the screen. If the center mark cannot be seen on the fog lamp, use the center of the fog lamp or the manufacturer's name mark on the fog lamp as the center mark.
H line (fog light height):
Draw a line across the screen so that it passes through the center mark. Line H should be at the same height as the center mark of the fog light bulb.
Line V LH, V RH (center mark position of left fog lamp LH and right fog lamp RH):
Draw two lines so that they intersect line H at the center marks.
5. Check the fog light convergence
a/ Cover the fog lamp or remove the connector of the other side fog lamp to prevent light from the unchecked fog lamp from affecting the fog lamp convergence test.
b/ Start the engine.
c/ Turn on the fog lights and make sure that the dividing line is outside the standard area as shown in the drawing.
6. Adjust the fog light convergence
Use a screwdriver to adjust the fog light to the standard area by turning the toe adjustment screw.
Note: If the screw is adjusted too far, loosen it and then tighten it again, so that the last rotation of the light adjustment screw is clockwise.
3. Self-study questions
1. Describe the operating principle of the lighting system with automatic headlight function
2. Describe the operating principle of the lighting system with the function of rotating headlights when turning
3. Draw diagram and connect lighting system on Hyundai Porter car
4. Draw diagram and connect lighting system on Honda Accord 1992
5. Draw the lighting circuit on a 1993 Toyota Lexus
LESSON 3 MAINTENANCE AND REPAIR OF SIGNAL SYSTEM
I. IMPLEMENTATION GOAL
After completing this lesson, students will be able to:
- Distinguish between types of signals on cars
- Correctly describe common symptoms and suspected areas causing damage.
- Connecting signal circuits ensures technical requirements
- Disassemble, install, check, maintain and repair the signal system to ensure technical requirements.
- Ensure safety in work and industrial hygiene
II. LESSON CONTENT
1. General description
The signal system equipped on cars aims to create signals to notify other vehicles participating in traffic about the vehicle's operating status such as: stopping, parking, braking, reversing, turning...
Signals are used either by light such as headlamps, brake lights, turn signals….. or by sound such as horns, reverse music….
Just like the lighting system. A signal system circuit usually consists of: battery, fuse, wire, relay, electrical load and control switch. Only some switches of the signal system are on the combination switch. The switches of other signals are usually located in different locations such as in the gearbox or brake pedal……
2. Maintenance and repair
2.1. Turn signals and hazard lights
The installation location of the turn signal is shown in Figure 3.1. The turn signal control switch is located in the combination switch under the steering wheel. Turning this switch to the right or left will make the turn signal turn right or left.
The hazard light switch is used when the vehicle has a problem while participating in traffic. When the hazard light switch is turned on, all the turn signals on the vehicle will light up at a certain frequency. The hazard light switch is usually placed separately from the turn signal switch (some old cars integrate the hazard and turn signal switches on the same combination switch cluster).
Figure 3.1 Turn signal switch Figure 3.2 Hazard switch
The part that generates the flashing frequency for the lights is called a turn signal relay. The turn signal relay usually has 3 terminals: B (positive power supply); E (negative power supply); L (providing the turn signal switch to distribute to the
lamp)
2.1.1. Circuit diagram
To generate the frequency for the turn signal, a turn signal relay is used in the turn signal circuit. The current from the turn signal relay will be sent to the turn signal switch assembly to distribute the current to the turn signal lights for the driver's purpose.
Figure 3.3. Schematic diagram of a turn signal circuit without a hazard switch
1. Battery; 2. Electric lock; 3. Turn signal relay; 4. Turn signal switch; 5. Turn signal lamp; 6. Turn signal lamp; 7. Hazard switch
Figure 3.4 Schematic diagram of turn signal circuit with hazard switch
1. Battery; 2. Combination switch cluster; 3. Turn signal;
4. Turn signal light; 5. Turn signal relay
Today's cars no longer use three-pin turn signal relays (B, L, E) but use eight-pin turn signal relays (figure 3.5) (pin number 8 is used for hazard lights).
For this type, the current supplying the turn signal lights is supplied directly from the turn signal relay to the lights.
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Characteristics of Business Activities and Business Management Organization at Small and Medium Enterprises in Vietnam

1.1.3. Some studies on factor scales
Some previous survey studies related to employee satisfaction were reviewed, identified, tested and applied to measure the factors that actually affect employee satisfaction, including the following studies:
1.1.3.1. Job description index JDI of Smith, Kendall and Hulin (1969) [15] :
Smith, Kendall and Hulin of Cornell University have built the Job Descriptive Index and are highly appreciated in theory and practice, expressed through 05 factor scales as follows: (a) Nature of work; (b) Salary payment; (c) Promotion; (d) Supervision; (e) Colleagues. According to the assessment content of the JDI job description index, each factor scale provides 05 typical contents to evaluate according to its own aspects, specifically:
(a) Nature of work
1. Ability to complete work
2. Boring work
3. Satisfy your own work
4. Uninteresting work
5. Challenging work
(c) Promotion
1. Good opportunity for promotion
2. Job with no opportunity for advancement
3. Advancement based on ability
4. Many opportunities for advancement
5. Unfair promotion policy
(b) Payment of wages
1. Fair pay
2. Underpayment
3. Income commensurate with basic expenses
4. Very good pay
5. No guarantee of salary payment
(d) Supervision
1. Employees are praised for good work.
2. Employees are harassed while working
3. Employees handle work skillfully
4. Employees do not handle work well
5. Employees do not update their work
(e) Colleagues
1. Useful
2. Boring
3. Smart
4. Lazy
5. Responsibility
EMPLOYEE SATISFACTION
Figure A1-09: Smith, Kendall, and Hulin's Job Description Index
1.1.3.2. Weiss's MSQ satisfaction measurement criteria (1967) [17] :
Researchers Weiss and colleagues at the University of Minnesota proposed criteria for measuring job satisfaction through the Minnesota Satisfaction Questionnaire, providing two aspects of factor scale analysis: (a) Satisfaction factors of an internal nature; (b) Satisfaction factors of an external nature.
(c) In addition, provide common criteria for measuring employee satisfaction.
dynamic. Here are some of the questionnaire contents as shown below:
EMPLOYEE SATISFACTION
(a) Satisfaction is of an intrinsic nature
1. Busy all the time at work
2. Opportunity to work independently
3. Other job opportunities
4. Assert yourself to the group
5. Work without going against your conscience
6. Opportunity to work with others
7. Opportunity to guide others in their work
8. Opportunity to work according to ability
9. Freedom of judgment at work
10. Challenging opportunities at work
11. Mood of completing work etc…
(b) Satisfaction due to external influences
1. Superiors manage employees' work
2. Ability to monitor yourself
3. Company policy is enforced
4. Balance salary and work
5. Opportunities for career advancement
6. Praise good work etc…
(c) General criteria
1. Working conditions
2. Teamwork methods etc…
Figure A1-10: Weiss's MSQ job satisfaction measurement criteria
1.1.3.3. Edwin Locke's (1976) work measurement values [7] :
Edwin Locke's impact theory proposes that job values and means of use affect the level of employee satisfaction and this theory also shows the difference between what employees want and what they have in their jobs in measuring the level of employee satisfaction. An example to illustrate this, if "the right to decide
“in the workplace” is valuable to employee A, while employee B is not interested in this. Then, if the impact of “right to decide at work” is strong, employee A will be more satisfied, but if the impact of “right to decide at work” is insignificant , employee A will no longer be satisfied while employee B is not affected by this measurement value.
Table 1-03: Work and Means Measurement Values
Work aspect
Work measurement value | Vehicle | |
Job | Personal attention Importance Opportunity to use skills Responsibility Right to decide Diversity Achievements, progress Feedback Clear Fit Join Pressure Avoid fatigue | Recruitment, selection, replacement, job improvement, goal setting, decision making participation Workplace design |
Salary & Benefits | Fair Job security | Job analysis, salary survey, measurement of completed work volume, high salary and benefits, incentive plan Human resource planning |
Promotion | Fair | Deserves promotion |
Effectiveness assessment | Effectiveness assessment | Praise and credit for work and effort |
Working conditions | Resources Time Change work shifts Safety conditions Distinction | Providing resources Flexible hours (4 days/week) Compensation Eliminate hazardous conditions, have a safety program Private office design |
Colleague | Similar characteristics Capacity | Recruitment, selection, replacement Recruitment, selection, replacement through training |
Management / Supervision | Respect Trust Bilateral relations Provide the above values | Be honest and care about the needs of employees Be consistent in honesty Listen to employees Participate, influence |
Union | Payroll | High salary, benefits |
1.1.3.4. SHRM survey report (2009) [14] :
According to a 2009 survey by the Society for Human Resource Management (SHRM), employee satisfaction factors are ranked in the following order of priority:
- Group of important factor scales: (1) Job security; (2) Welfare; (3) Compensation / salary; (4) Opportunity to use work skills; (5) Feeling safe in the working environment.
- Group of factor scales according to career development aspect: (1) Promotion opportunities in the organization; (2) Career development opportunities; (3) Being tested on specific jobs; (4) Development system; (5) Accepting professional development of the organization; (6) Probationary salary and tuition reimbursement.
- Group of factor scales according to the aspect of work relationship with leaders: (1) Communication issues between employees and superiors; (2) Decision-making power and work independence; (3) Evaluation of employee work progress; (4) Work relationship with middle management.
- Factor scale group according to working environment aspect: (1) Flexible balance between life and work; (2) Very interesting work; (3) Need for social responsibility in the organization; (4) Accepting green working environment;
(5) Organizational culture; (6) Working relationships with colleagues; (7) Contribution to the organization's business goals; (8) Current work; (9) Job variety.
- Scale of general employee satisfaction.
1.1.4. Some research results
1.1.4.1. Research results of Andrew (2002)
Andrew (2002) researched job satisfaction in the United States and several other countries and found the following results:
Forty-nine percent of workers in the United States surveyed said they were either completely or very satisfied with their jobs, with only a small number saying they were dissatisfied. The percentages of people who were completely or very satisfied with their jobs in other countries were as follows: 62% in Denmark, 30% in Japan, and 23% in Hungary.
The study identified factors that enhance job satisfaction including: (a) Female gender; (b) Job security; (c) Small workplace; (d)
High income; (e) Colleague relations; (f) Less commuting time; (g) Problems
supervision; (h) Public relations; (i) Opportunities for further education.
1.1.4.2. Research results of Keith & John (2002)
Keith & John's study on job satisfaction of highly qualified people; the role of gender, managers and comparison with income gave the following results: (a) The main factors affecting job satisfaction of highly qualified people are: earning money, material conditions, health and other types of welfare; (b) Women have a higher level of job satisfaction than men; (c) There is an increase in the level of satisfaction for managers; (d) Income plays an important role in the level of job satisfaction.
1.1.4.3. Research results of Tom (2007)
Tom's research on job satisfaction in the United States has produced the following results: 47.0% of workers in many fields are very satisfied with their jobs, while the unskilled labor group has a much lower level of satisfaction (only 33.6% of those surveyed are satisfied with their jobs, while the highly skilled labor group has a fairly high level of satisfaction (accounting for 55.8% of those surveyed).
1.1.4.4. Research results of Tran Kim Dung and colleagues (2003) [3] :
Research by Tran Kim Dung and colleagues by surveying 558 full-time employees shows that the level of satisfaction with salary is negatively related to the level of effort and effort of employees. This paradox is explained by the fact that businesses lack knowledge and skills about the market salary system, do not know how to design a scientific salary scale system; the payment of salary and bonus is often emotional, arbitrary without clear policies. As a result, the more effort and effort people put into contributing to the organization, the more dissatisfied they are with the current salary policy.
1.2. RESEARCH MODEL OF THE TOPIC
1.2.1. Formation process
Through some theoretical bases and factor scales to assess employee satisfaction with the enterprise, the author oriented the choice of the research model according to the following argument: (a) Inheriting and developing in the use of combining and selecting some theoretical bases and factor scales of previous scientific researchers but must be consistent with the research objectives of the topic; (b) Building a research model to assess employee satisfaction with the enterprise must be consistent with the research characteristics in Ben Tre province.
In the research model of the topic, the main focus of the research object is the satisfaction of employees and the factors measuring the satisfaction level of employees working in Ben Tre province. Therefore, the analysis content of the model needs to be clearly expressed as follows:
Factor scale
Nature of work
Salary and benefits
Performance appraisal
Training development, development opportunities
Autonomy at work
Job stability
Policies and procedures
Working tools
Information exchange
Workplace Relations
(c) General measurement criteria
Working conditions, policies, benefits
Long term commitment to the job
The business is doing great
EMPLOYEE SATISFACTION
FOR BUSINESS
(b) Characteristics and needs of workers
Gender, age, education, working hours, average income and other characteristics
Needs for improvement in the business, future aspirations and current difficulties of employees
Figure A1-11: Model for assessing employee satisfaction with enterprises in Ben Tre province
Table 1-04: Basis for forming 10 factor scales in the model
TT
Factor scale | Featured Authors | |
1 | Nature of work (TCCV) | Herzberg (1959); Smith, Kendall and Hulin (1969); Edwin Locke (1976); SHRM Survey (2009) |
2 | Salary and Benefits (TLPL) | Herzberg (1959); Smith, Kendall, and Hulin (1969); Weiss (1967); Edwin Locke (1976); Keith & John (2002); SHRM Survey (2009); Kim Dung (2005) |
3 | Performance Appraisal (HPA) | Herzberg (1959); Edwin Locke (1976); SHRM Survey (2009) |
4 | Training and development, promotion opportunities (DTPT) | Smith, Kendall, and Hulin (1969); Weiss (1967); Edwin Locke (1976); SHRM Survey (2009); Andrew (2002); Tom (2007) |
5 | Autonomy in work (TUCHU) | Weiss (1967); Edwin Locke (1976); SHRM Survey (2009) |
6 | Job Security (ONCV) | Herzberg (1959); SHRM Survey (2009); Andrew (2002) |
7 | Policies and procedures (CSQT) | Herzberg (1959); Weiss (1967); SHRM Survey (2009) |
8 | Working equipment and safety dynamic (PTLV) | Herzberg (1959); Edwin Locke (1976); SHRM Survey (2009) |
9 | Information exchange (Sports) | Herzberg (1959); Weiss (1967); SHRM Survey (2009) |
10 | Workplace Relations (WLR) | Smith, Kendall, and Hulin (1969); Edwin Locke (1976); SHRM Survey (2009); Andrew (2002) |
1.2.2. Evaluation criteria in factor scales
The system of theoretical foundations and research on previous factor scales to assess employee satisfaction with the enterprise shows that the concept of "Employee satisfaction with the enterprise" is a sociological concept, abstract in meaning and influenced by many different factors. From the selective review of previous empirical studies and the characteristics of local employees, after discussing with a number of scientific researchers and experts to adjust to suit the research objectives of the topic, the author has built 59 evaluation criteria in 10 factor scales as follows:
Table 1-05: Evaluation criteria in factor scales
Factor scale
Symbol | Variable | |
1. Nature of work My job allows me to develop my personal abilities. My current job is very boring. My job is challenging. My job does not require many skills. | TCCV TCCV 1 TCCV 2 TCCV 3 TCCV 4 | X 1 X 11 X 12 X 13 X 14 |
Symbol | Variable | |
My job requires creativity. My job is simple. My workload is moderate and acceptable. My current job makes me feel stuck and undeveloped. be capable of My current job is contrary to my profession and expertise. | TCCV 5 TCCV 6 TCCV 7 TCCV 8 TCCV 9 | X 15 X 16 X 17 X 18 X 19 |
2. Salary and benefits My salary is commensurate with the nature of the work I do and the effort I put in. I am paid according to my work results. I get good benefits in addition to my salary (e.g. insurance, travel expenses, meals, annual trip, etc.) Salary ensures the life of myself and my family I get a bonus for doing a good job. I get an annual salary increase. | TLPL TLPL 1 TLPL 2 TLPL 3 TLPL 4 TLPL 5 TLPL 6 | X 2 X 21 X 22 X 23 X 24 X 25 X 26 |
3. Performance evaluation I am fully appreciated and recognized by the company for my work achievements. I was praised by the company when I did a good job. The performance appraisal method in my company is reasonable. I always clearly understand the work results expected by my superiors. The work I do is recognized for contributing to the success of the company. I understand what areas need to be improved to increase work efficiency. | HQCV HQCV 1 HQCV 2 HQCV 3 HQCV 4 HQCV 5 HQCV 6 | X 3 X 31 X 32 X 33 X 34 X 35 X 36 |
4. Training and development, promotion opportunities I am given the necessary training to do my job effectively. I was provided with full training materials and programs. to develop work skills My company has a clear training and career development plan for employees. I know what it takes to thrive in a career. I am very optimistic about my ability to grow and succeed in the company. My company always encourages and creates many opportunities for employee advancement and development. | DTPT DTPT 1 DTPT 2 DTPT 3 DTPT 4 DTPT 5 DTPT 6 | X 4 X 41 X 42 X 43 X 44 X 45 X 46 |
5. Autonomy at work I am encouraged to participate in relevant decisions. to work I am encouraged to come up with ideas and suggestions to improve my work. I have the authority to do the job. Be proactive and take responsibility for your work | TUCHU TUCHU 1 TUCHU 2 TUCHU 3 TUCHU 4 | X 5 X 51 X 52 X 53 X 54 |
6. Job stability Most of the employees in my company have signed labor contracts. indefinite term I am guaranteed regular employment. I rarely have to worry about losing my job. My company is operating very stably and effectively. | ONCV ONCV 1 ONCV 2 ONCV 3 ONCV 4 | X 6 X 61 X 62 X 63 X 64 |
7. Policies and working procedures My company has a fair and consistent disciplinary policy. | CSQT CSQT 1 | X 7 X 71 |




![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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