The hotel has a separate salary scale for employees by department and level, as well as salary increase policies based on working time, results and quality of work of employees, thereby ensuring fairness among employees. In addition, the company's welfare policies are also quite clear and fully implemented for employees.
2.2.2.7. Average assessment results of employee satisfaction with working environment factors
Table 2.21: Average rating of employee satisfaction with working environment factors
One-sample T-test
Frequency statistics | ||||||
Working environment | Average value | Check value determine | Significance level (Sig) | Level 1-2 (%) | Level 3 (%) | Level 4-5 (%) |
Salary commensurate with work results | 3.96 | 4 | 0.09 | 0 | 6.2 | 93.8 |
Superiors care about superiors below | 3.86 | 4 | 0.00 | 0 | 13.8 | 86.2 |
Safe working environment | 3.94 | 4 | 0.03 | 0 | 8.2 | 91.8 |
You don't worry about job loss | 3.12 | 3 | 0.00 | 5.6 | 76.4 | 18 |
Maybe you are interested!
-
Identify Rating Levels and Rating Scales
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of the islanders. Therefore, this indicator will be divided into two sub-indicators:
a1. Natural tourism attractiveness a2. Cultural tourism attractiveness
b. Tourist capacity
The two island communes in Quan Lan have different capacities to receive tourists. Minh Chau Commune is home to many standard hotels and resorts, attracting high-income domestic and international tourists. Meanwhile, Quan Lan Commune has many motels mainly built and operated by local people, so the scale and quality are not high, and will be suitable for ordinary tourists such as students.
c. Time of exploitation of Quan Lan Island Commune:
Quan Lan tourism is seasonal due to weather and climate conditions and festivals only take place on certain days of the year, specifically in spring. In Quan Lan commune, the period from April to June and from September to November is considered the best time to visit Quan Lan because the cultural tourism activities are mainly associated with festivals taking place during this time.
Minh Chau island commune:
Tourism exploitation time is all year round, because this is a place with a number of tourist attractions with diverse ecosystems such as Bai Tu Long National Park Research Center, Tram forest, Turtle Laying Beach, so besides coming to the beach for tourism and vacation in the summer, Minh Chau will attract research groups to come for tourism combined with research at other times of the year.
d. Sustainability
The sustainability of ecotourism sites in Quan Lan and Minh Chau communes depends on the sensitivity of the ecosystems to climate changes.
landscape. In general, these tourist destinations have a fairly high level of sustainability, because they are natural ecosystems, planned and protected. However, if a large number of tourists gather at certain times, it can exceed the carrying capacity and affect the sustainability of the environment (polluted beaches, damaged trees, animals moving away from their habitats, etc.), then the sustainability of the above ecosystems (natural ecosystems, human ecosystems) will also be affected and become less sustainable.
e. Location and accessibility
Both island communes have ports to take tourists to visit from Van Don wharf:
- Quan Lan – Van Don traffic route:
Phuc Thinh – Viet Anh high-speed boat and Quang Minh high-speed boat, depart at 8am and 2pm from Van Don to Quan Lan, and at 7am and 1pm from Quan Lan to Van Don. There are also wooden boats departing at 7am and 1pm.
- Van Don - Minh Chau traffic route:
Chung Huong high-speed train, Minh Chau train, morning 7:30 and afternoon 13:30 from Van Don to Minh Chau, morning 6:30 and afternoon 13:00 from Minh Chau to Van Don.
f. Infrastructure
Despite receiving investment attention, the issue of infrastructure and technical facilities for tourism on Quan Lan Island is still an issue that needs to be resolved because it has a direct impact on the implementation of ecotourism activities. The minimum conditions for serving tourists such as accommodation, electricity, water, communication, especially medical services, and security work need to be given top priority. Ecotourism spots in Minh Chau commune are assessed to have better infrastructure and technical facilities for tourism because there are quite complete and synchronous conditions for serving tourists, meeting many needs of domestic and foreign tourists.
3.2.1.4. Determine assessment levels and assessment scales
Corresponding to the levels of each criterion, the index is the score of those levels in the order of 4, 3, 2, 1 decreasing according to the standard of each level: very attractive (4), attractive (3), average (2), less attractive (1).
3.2.1.5. Determining the coefficients of the criteria
For the assessment of DLST in the two communes of Quan Lan and Minh Chau islands, the students added evaluation coefficients to show the importance of the criteria and indicators as follows:
Coefficient 3 with criteria: Attractiveness, Exploitation time. These are the 2 most important criteria for attracting tourists to tourism in general and eco-tourism in particular, so they have the highest coefficient.
Coefficient 2 with criteria: Capacity, Infrastructure, Location and accessibility . Because the assessment area is an island commune of Van Don district, the above criteria are selected by the author with appropriate coefficients at the average level.
Coefficient 1 with criteria: Sustainability. Quan Lan has natural and human-made ecotourism sites, with high biodiversity and little impact from local human factors. Most of the ecotourism sites are still wild, so they are highly sustainable.
3.2.1.6. Results of DLST assessment on Quan Lan island
a. Assessment of the potential for natural tourism development
For Minh Chau commune:
+ Natural tourism attractiveness is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined as average (2 points) and the coefficient is quite important (coefficient 2), then the score of Capacity criterion is 2 x 2 = 4.
+ Exploitation time is long (4 points), the most important coefficient (coefficient 3) so the score of the Exploitation time criterion is 4 x 3 = 12.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is assessed as good (3 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 3 x 2 = 6 points.
The total score for evaluating DLST in Minh Chau commune according to 6 evaluation criteria is determined as: 12 + 4 + 12 + 4 + 4 + 6 = 42 points
Similar assessment for Quan Lan commune, we have the following table:
Table 3.3: Assessment of the potential for natural ecotourism development in Quan Lan and Minh Chau communes
Attractiveness of self-tourismof course
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
CommuneMinh Chau
12
12
4
8
12
12
4
4
4
8
6
8
42/52
Quan CommuneLan
6
12
6
8
9
12
4
4
4
8
4
8
33/52
b. Assessment of the potential for humanistic tourism development
For Quan Lan commune:
+ The attractiveness of human tourism is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined to be large (3 points) and the coefficient is quite important (coefficient 2), then the score of the Capacity criterion is 3 x 2 = 6.
+ Mining time is average (3 points), the most important coefficient (coefficient 3) so the score of the Mining time criterion is 3 x 3 = 9.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points.
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is rated as average (2 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 2 x 2 = 4 points.
The total score for evaluating DLST in Quan Lan commune according to 6 evaluation criteria is determined as: 12 + 6 + 6 + 4 + 4 + 4 = 36 points.
Similar assessment with Minh Chau commune we have the following table:
Table 3.4: Assessment of the potential for developing humanistic eco-tourism in Quan Lan and Minh Chau communes
Attractiveness of human tourismliterature
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Quan CommuneLan
12
12
6
8
9
12
4
4
4
8
4
8
39/52
Minh CommuneChau
6
12
4
8
12
12
4
4
4
8
6
8
36/52
Basically, both Minh Chau and Quan Lan localities have quite favorable conditions for developing ecotourism. However, Quan Lan commune has more advantages to develop ecotourism in a humanistic direction, because this is an area with many famous historical relics such as Quan Lan Communal House, Quan Lan Pagoda, Temple worshiping the hero Tran Khanh Du, ... along with local festivals held annually such as the wind praying ceremony (March 15), Quan Lan festival (June 10-19); due to its location near the port and long exploitation time, the beaches in Quan Lan commune (especially Quan Lan beach) are no longer hygienic and clean to ensure the needs of tourists coming to relax and swim; this is also an area with many beautiful landscapes such as Got Beo wind pass, Ong Phong head, Voi Voi cave, but the ability to access these places is still very limited (dirt hill road, lots of gravel and rocks), especially during rainy and windy times; In addition, other natural resources such as mangrove forests and sea worms have not been really exploited for tourism purposes and ecotourism development. On the contrary, Minh Chau commune has more advantages in developing ecotourism in the direction of natural tourism, this is an area with diverse ecosystems such as at Rua De Beach, Bai Tu Long National Park Conservation Center...; Minh Chau beach is highly appreciated for its natural beauty and cleanliness, ranked in the top ten most beautiful beaches in Vietnam; Minh Chau commune is also home to Tram forest with a large area and a purity of up to 90%, suitable for building bridges through the forest (a very effective type of natural ecotourism currently applied by many countries) for tourists to sightsee, as well as for the purpose of studying and researching.
Figure 3.1: Thenmala Forest Bridge (India) Source: https://www.thenmalaecotourism.com/(August 21, 2019)
3.2.2. Using SWOT matrix to evaluate Quan Lan island tourism
General assessment of current tourism activities of Quan Lan island is shown through the following SWOT matrix:
Table 3.5: SWOT matrix evaluating tourism activities on Quan Lan island
Internal agent
Strengths- There is a lot of potential for tourism development, especially natural ecotourism and humanistic ecotourism.- The unskilled labor force is relatively abundant.- resource environmentunpolluted, still
Weaknesses- Poorly developed infrastructure, especially traffic routes to tourist destinations on the island.- The team of professional staff is still weak.- Tourism products in general
quite wild, originalintact
general and DLST in particularalone is monotonous.
External agents
Opportunity- Tourism is a key industry in the socio-economic development strategy of the province and Van Don economic zone.- Quan Lan was selected as a pilot area for eco-tourism development within the framework of the green growth project between Quang Ninh province and the Japanese organization JICA.- The flow of tourists and especially ecotourism in the world tends toincreasing
Challenge- Weather and climate change abnormally.- Competition in tourism products is increasingly fierce, especially with other localities in the province such as Ha Long, Mong Cai...- Awareness of tourists, especially domestic tourists, about ecotourism and nature conservation is not high.
Through summary analysis using SWOT matrix we see that:
To exploit strengths and take advantage of opportunities, it is necessary to:
- Diversify products and service types (build more tourism routes aimed at specific needs of tourists: experiential tourism immersed in nature, spiritual cultural tourism...)
- Effective exploitation of resources and differentiated products (natural resources and human resources)
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The impact of job satisfaction on employee commitment to the Bank for Agriculture and Rural Development of Ben Tre - 3 -
Results of Satisfaction Level by Marital Status -
Theoretical and Practical Basis of Employee Job Satisfaction -
Customer Satisfaction Survey Results on International Payment Activities at Anz Bank Vietnam

(Source: Data analysis results, 2014)
Through the table above, we can see that there are 3 statements about employee satisfaction with the working environment factor, all of which have a significance level of less than 0.05. In addition, with a t value greater than 0 (appendix), we reject the Ho hypothesis and accept the H1 alternative with a confidence level of 95%. Thus, with a test value of 3, it can be concluded that the statement " You are not worried about losing your job " is above normal and tends to move towards the level of agreement. With a test value of 4 and t less than 0 (appendix), the assessments of the statements " Superiors care about subordinates " and " Safe working environment " of employees at Green Hue Hotel have not reached the level of agreement. In addition, with a test value of 4 and a sig greater than
more than 0.05, we accept the hypothesis Ho with 95% confidence or employee assessment
The statement "Salary is commensurate with performance" is on par with the
agree. With this result, it can be seen that in general, all employees working directly at the Green Hue Hotel are quite satisfied with the working environment at the company. This can be easily understood because the working environment at the Green Hue Hotel is a dynamic and professional environment, always ensuring the safety of employees. In addition, the management board regularly cares, supports and answers questions to subordinates. The hotel is ready to provide relevant information, creating favorable conditions for employees to maximize their abilities and complete their work well. In addition, the hotel always has clear recruitment and staff reduction regulations based on the work process, making employees quite secure about employment issues. However, in the current market economy, employment and labor issues are relatively difficult, so many employees are still worried about losing their jobs, as shown by the average value of the observed variable "You are not worried about losing your job" being much lower than the remaining variables in the working environment group.
2.2.2.8. Average assessment results of employee satisfaction with training and work opportunities
Table 2.22: Average rating of employee satisfaction with training and work opportunities
One-sample T-test
Frequency statistics | ||||||
Training and employment opportunities | Value | Price | level of intention | Level | Level 3 | Level |
job
medium | control determine | meaning (Sig) | 1-2 (%) | (%) | 4-5 (%) | |
You are trained and career development | 4.68 | 4 | 0.00 | 0 | 0.5 | 99.5 |
Reasonable division | 4.37 | 4 | 0.00 | 0 | 2.6 | 97.4 |
Have enough means and equipment necessary to do the job | 4.47 | 4 | 0.00 | 0 | 2.6 | 97.4 |
(Source: Data analysis results, 2014)
Through the table above, we can see that all 3 statements about employee satisfaction with the training and working opportunity factor have a significance level of less than 0.05. In addition, the t value is greater than 0 (appendix), so we reject the Ho hypothesis and accept the H1 alternative with a confidence level of 95%. Thus, with a test value of 4, the evaluation of the statements " You are trained and developed professionally ", " The division is reasonable " and " There are enough necessary means and equipment to do the job " by employees at Hue Green Hotel is above the level of agreement. With this result, it can be seen that in general, all direct employees at Hue Green Hotel are satisfied with the Training and working opportunity factor at the company. The high satisfaction in this group is explained by the fact that Green Hotel always focuses on training and career development for employees, organizes necessary job skills training to improve skills, helps employees confidently perform their jobs while improving the quality of hotel services. In addition, during the working process, the work is divided reasonably, clearly and appropriately according to the ability of each employee as well as fully equipped to perform the work.
2.2.2.9. Average assessment results of overall employee satisfaction
Table 2.23: Average rating of overall employee satisfaction
One-sample T-test
Frequency statistics | ||||||
Overall satisfaction | Value central | Price treat | level of intention meaning | Level 1-2 | Level 3 (%) | Level 4-5 (%) |
jar | check determine | (Sig) | (%) | |||
Satisfied working at company | 4.118 | 4 | 0.001 | 0 | 6.7 | 93.3 |
Tell everyone this is the best place to work job | 3,723 | 4 | 0.000 | 0 | 32.3 | 67.7 |
Very proud to work at company | 4.123 | 4 | 0.003 | 0 | 10.8 | 89.2 |
(Source: Data analysis results, 2014)
Through the table above, we can see that all 3 statements about the general satisfaction with the work of employees have a significance level of less than 0.05. In addition, with the t value greater than 0 (appendix), we reject the Ho hypothesis and accept the H1 alternative with a confidence level of 95%. Thus, with the test value of 4, the " Satisfaction when working at the company" and "Very proud to work at the company " of employees at the Green Hue Hotel are above the level of agreement . Similarly, with the test value of 4 and t less than 0, we can conclude that the statement " I recommend to everyone that this is the best place to work " has not reached the level of agreement . With this result, it can be seen that in general, all direct employees at Hue Green Hotel are satisfied with their jobs.
2.2.2.10. Testing the difference in mean value of satisfaction according to employee age
Table 2.24: Test for homogeneity of variance of employee groups by age
Observation variable
Levene Statistics | df1 | df2 | Sig | |
HL34 | 3,091 | 3 | 191 | .028 |
HL35 | 3,705 | 3 | 191 | .013 |
HL36 | 1,678 | 3 | 191 | .173 |
(Source : Data analysis results , 2014 ) Based on the results of the variance homogeneity test, we see that the observed variables HL34 and HL35 have sig = 0.013 < 0.05, meaning that the variance of the factor groups is similar.
pills by degree
age is not the same as maturity
95% confidence. For observed variables
HL36 has a sig value = 0.173 >0.05, so with a 5% error, the variance of the age groups is identical. Continuing to conduct Anova testing with the variable HL36, the following results were obtained:
Table 2.25: Anova test of satisfaction by age
Observation variable
Age | Medium | F | Sig | |
Very proud to work at the company (HL36) | < 25 | 3,982 | 5,579 | .001 |
25 – 40 | 4.116 | |||
41 – 54 | 4,588 | |||
>54 | 4,500 |
(Source: Data analysis results, 2014)
From the table above, we get the sig value of the observed variable HL36 is less than 0.05. Thus, there is a difference in the average value of the variable HL36, which means there is a difference in the assessment of this observed variable of the employee groups divided by age with 95% confidence.
Next, conduct in-depth analysis and obtain the following results:
Table 2.26: In-depth Anova analysis by age group
Very proud to work at the company (HL36)
Comparison pair | Sig | ||
Tukey | < 25 | 25 – 40 | .434 |
< 25 | 41 – 54 | .001 | |
< 25 | >54 | .560 | |
25 – 40 | 41 – 54 | .006 | |
25 – 40 | >54 | .763 | |
41 – 54 | >54 | .997 | |
(Source: Data analysis results, 2014)
For the HL36 variable with homogeneous group variance, the Tukey test should be used. From the table above, we can see that there are two pairs of comparison groups: under 25 years old and 41 - 54 years old and 25 - 40 years old and 41 - 54 years old , the sig values obtained are 0.001 and 0.006, respectively, both less than 0.05. Thus, with a confidence level of 95%, it can be concluded that
There is a difference in the assessment of the observed variable “Very proud to work at the company” of employees between the two pairs of age groups above. The remaining four comparison pairs obtained sig>0.05, so there is no difference in the assessment of the variable HL36 at the 95% confidence level.
This can be explained by the fact that satisfaction will be different for different ages. Especially for groups with quite different ages such as under 25 and over 54 years old, the level of satisfaction with the workplace will not be the same. Young people today with a dynamic tendency, wanting to find a job that suits their abilities, they will have higher comparisons and conditions to evaluate between workplaces. On the contrary, for older employees, who have a long period of experience and work at the hotel, they will feel more attached, satisfied and proud of the hotel where they work.
2.2.2.11. Testing the difference in mean value of satisfaction according to employee working time
Table 2.27: Test for homogeneity of variance of employee groups according to working time
Observation variable
Levene Statistics | df1 | df2 | Sig. | |
HL34 | 3.164 | 3 | 191 | .026 |
HL35 | 6,940 | 3 | 191 | .000 |
HL36 | 1,812 | 3 | 191 | .146 |
(Source: Data analysis results, 2014)
Based on the results of the variance homogeneity test, we see that the two observed variables HL34 and HL35 have sig values of 0.026 and 0.00, respectively, both less than 0.05, meaning that the variance of the employee groups according to working time is not homogeneous with a confidence level of 95%. For the observed variable HL36, the sig value = 0.146 >0.05, so with a 5% error, the variance of the working time groups is homogeneous.
Continue to conduct Anova test with variable HL36 to obtain the following results:
after:
Table 2.28: Anova test of satisfaction by working time
Observation variable
Working time | Medium | F | Sig |
job | ||||
Very proud to work at the company (HL36) | < 1 year | 4,000 | 6,954 | .000 |
1 - 3 years | 4,000 | |||
3 - 5 years | 4,094 | |||
> 5 years | 4,500 |
(Source: Data analysis results, 2014)
From the table above, we get the sig value of the observed variable HL36 on employee satisfaction all have sig values < 0.05. Thus, there is a difference in the average value of this observed variable between groups of employees divided by working time with 95% confidence.
Next, conduct in-depth analysis and obtain the following results:
Table 2.29: In-depth Anova analysis by working time group
Very proud to work at the company (HL36)
Comparison pair | Sig | ||
Tukey | < 1 year | 1 - 3 years | 1,000 |
< 1 year | 3 - 5 years | .928 | |
< 1 year | > 5 years | .018 | |
1 - 3 years | 3 - 5 years | .722 | |
1 - 3 years | > 5 years | .000 | |
3 - 5 years | > 5 years | .002 | |
(Source: Data analysis results, 2014)
For the HL36 variable with homogeneous group variance, the Tukey test should be used. From the table above, we can see that there are three pairs of comparison groups: less than 1 year and greater than 5 years, 1-3 years and greater than 5 years , 3-5 years and greater than 5 years , with sig values of 0.018, 0.00 and 0.002, respectively, all less than 0.05. Thus, with a 95% confidence level, it can be concluded that there is a difference in the assessment of the observed variable "Very proud to work at the company" by employees between the three pairs of working time groups above. The remaining three comparison pairs have sig>0.05, so there is no difference in the assessment of employees for the HL36 variable at a 95% confidence level.
Thus, employee satisfaction also varies based on the length of time working at the hotel. This result can be explained as follows. For employees who
Employees who have worked for a long time (more than 5 years), have a strong attachment and loyalty to the hotel, so they will easily be satisfied, adapt to the company's human resource policies as well as feel proud of the hotel where they work. Meanwhile, young employees who have just entered the hotel, with a short working time, do not understand and have not adapted to the company, their satisfaction and pride will be lower.
2.2.2.12. Testing the difference in mean value of satisfaction according to current income of employees
Table 2.30: Test for homogeneity of variance of employee groups by income
Observation variable
Levene Statistics | df1 | df2 | Sig. | |
HL34 | 2,949 | 3 | 191 | .034 |
HL35 | 20,172 | 3 | 191 | .000 |
HL36 | .677 | 3 | 191 | .567 |
(Source: Data analysis results, 2014)
Based on the results of the variance homogeneity test, we see that the two observed variables HL34 and HL35 have sig values of 0.034 and 0.00, respectively, both less than 0.05, meaning that the variance of employee groups according to current income is not homogeneous with a confidence level of 95%. For the observed variable HL36, the sig value = 0.567 >0.05, so with a 5% error, the variance of income groups is homogeneous.
Continue to conduct Anova test with variable HL36 to obtain the following results:
after:
Table 2.31: Anova test of satisfaction by income
Observation variable
Income | Medium | F | Sig | |
Very proud to work at the company (HL36) | < 2 million | 3,864 | 9,459 | .000 |
2 - 3 million | 4,081 | |||
3-4 million | 4.303 | |||
> 4 million | 4.666 |
(Source: Data analysis results, 2014)
From the table above, we get the sig value of the observed variable HL36 on employee satisfaction with sig value < 0.05. Thus, there is a difference in the average value.





