Selected 200 samples by non-probability method, using 5-level Likert scale. Through analysis by Cronbach's alpha, the adjusted model has 6 factors, except for the working environment variable. The author's research results show 6 factors affecting job satisfaction in the following order: income, job characteristics, superiors, training and promotion, basic benefits, and additional benefits.
According to Do Phu Khanh Danh (2011), when studying the factors affecting job satisfaction of Ho Chi Minh City electricity employees. Initially, the author proposed a model with 7 factors: Income, nature of work, training and promotion opportunities, superiors, colleagues, working conditions, company benefits. Through analysis using cronbach alpha and factor analysis. The author's research model still includes the above 7 factors. The author also measured the factors through a survey questionnaire with a sample of 211, a 5-level likert scale. As a result, the author proposed 6 factors affecting job satisfaction as follows: nature of work, superiors, income, working conditions, training and promotion opportunities.
According to author Tran Van Hao (2012), the author conducted a study based on 8 factors: nature of work, training - promotion, leadership, colleagues, salary, working environment, benefits, job performance evaluation to study the influence of these factors on job satisfaction of employees at CT retail joint stock company. The author used a five-level likert scale, surveyed 215 samples, the research results showed that the factors affecting job satisfaction were: nature of work, training - promotion, salary, benefits.
Table 2.1: Summary of research factors from topics
Factor
Author | ||||||||
Smith | Weiss | Scheme -erhon | Fore man | Tran Kim Dung | Chau Van Toan | Do Phu Khanh Danh | Tran Van Hao | |
Nature of work | X | X | X | X | X | X | X | X |
Training, promotion | X | X | X | X | X | X | X | X |
Leader | X | X | X | X | X | X | X | |
Colleague | X | X | X | X | X | X | X | |
Income | X | X | X | X | X | X | ||
Personal capacity | X | |||||||
Company policy (benefits) | X | X | X | X | X | X | X | |
Working conditions | X | X | X | X | X | X | X | |
Job position | X | |||||||
Job Evaluation | X | X | ||||||
Maybe you are interested!
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Summary of Research on Factors Affecting the Degree of Dividend Stabilization -
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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Research Model of Factors Impacting Work Motivation of Tour Guide Team in Binh Dinh Province -
Research on factors affecting the decision to purchase gypsum board of Huy An private trading enterprise from institutional customers in Ho Chi Minh City - 13 -
Research on factors affecting the behavior of using international bank cards in Vietnam - 21
(Source: compiled through references to the above topics)
2.3 The relationship between job satisfaction and personal characteristics
Many studies have also shown that personal factors influence satisfaction. Personal factors here include: gender, age, education level...
Research results of Keith & John (2005) on job satisfaction of workers: highly qualified workers, gender, managers and
Compared with income, the results showed that women have higher job satisfaction than men and income plays an important role in job satisfaction.
Sex:
According to Murray and Atkinson (1981) investigated how gender affects job satisfaction, reflecting that women pay more attention to social factors, while men pay more attention to salary, promotion and other external aspects. Similarly, the results of Robbins' research (Robbins et al., 2003) showed that the majority of women feel satisfied with their jobs. The factors that contribute the most to their satisfaction are colleagues, learning opportunities, and inherent factors in the job.
Level:
Tom (2007) researched job satisfaction in the United States and found that unskilled workers had a much lower level of satisfaction than skilled workers (33.6%-55.8%).
Seniority, age:
Seniority and age are also personal factors that influence job satisfaction. Seniority is the number of years an employee has worked (Oshagbemi, 2000). Robbins et al. (2003) found that there is a positive relationship between length of service and satisfaction. Robbins also found that there is a relationship between age and job satisfaction. As employees work longer, their initial expectations decrease to a more realistic level – that is, they have more realistic needs – thus making other expectations more attainable, which increases job satisfaction.
Thus, studying personal characteristics related to job satisfaction is necessary. Studies have shown that personal factors not only affect job satisfaction, but differences in personal characteristics also lead to different job satisfaction. Therefore, in the study
In the author's research, the author also included personal characteristics: gender, age, seniority, marital status, and education level for research.
2.4 Introduction to Vietcombank
2.4.1 Overview of Vietcombank
The Bank for Foreign Trade of Vietnam was established on April 1, 1963 on the basis of separation from the Foreign Exchange Management Department of the Central Bank (now the State Bank of Vietnam).
On June 2, 2008, the Bank for Foreign Trade of Vietnam officially transformed into the Joint Stock Commercial Bank for Foreign Trade of Vietnam, abbreviated as Vietcombank . On June 30, 2009, Vietcombank shares (stock code VCB) were officially listed on the Ho Chi Minh City Stock Exchange. In September 2011, Vietcombank signed a strategic shareholder contract with Mizuho Corporate Bank and sold 15% of additional issued shares (equivalent to 347.6 million shares for 567.3 million USD).
After more than 50 years of establishment, Vietcombank now has 1 transaction office, 78 branches with 311 transaction offices nationwide, and over 1,700 correspondent banks in more than 120 countries and territories worldwide. Vietcombank contributes equity capital to many subsidiaries, such as: Vietcombank Financial Leasing Company Limited, Vietcombank Securities Company Limited, Vietcombank - Cardif Life Insurance Company Limited, Vietnam Finance Company in Hong Kong, ... and invests capital in other joint stock commercial banks.
Over the years, Vietcombank has always promoted its role as the most prestigious bank in the fields of financing, import-export payments, foreign exchange trading, guarantees and international financial and banking services. Therefore, in the context of fierce competition, Vietcombank has maintained a high and stable market share.

Figure 2.5 Management structure diagram of Vietcombank.
(Source: Vietcombank Annual Report)

Figure 2.6. Vietcombank's financial report
(Source: Vietcombank Annual Report)
2.4.2 Vietcombank branches in Ho Chi Minh City
In Ho Chi Minh City, there are 12 Vietcombank branches and 65 transaction offices.
pandemic:
Table 2. 2. Vietcombank branches and transaction offices in HCM
STT
Code branch | Branch name branch | Number of rooms transaction | Address | |
1 | 007 | Ho Chi Minh | 19 | 10 Vo Van Kiet, Nguyen Thai Binh Ward - District 1, HCM |
2 | 018 | South Saigon | 7 | Floor 1,2,3,4 Building V6, plot V, New urban area Himlam, 23 Nguyen Huu Tho, Tan Hung Ward, District 7, HCM |
3 | 025 | Binh Tay | 5 | 129 - 129A Hau Giang, Ward 5, District 6, HCM |
4 | 033 | Ben Thanh | 4 | 69 Bui Thi Xuan, Pham Ngu Lao Ward, District 1, HCM |
5 | 037 | Tan Dinh | 4 | 72 Pham Ngoc Thach, Ward 6, District 3, HCM |
6 | 038 | Thu Duc | 5 | Linh Trung I Export Processing Zone Administration Building, Linh Ward Trung, Thu Duc District, HCM |
7 | 042 | Phu Tho | 4 | 664 Su Van Hanh, Ward 12, District 10, HCM |
8 | 044 | Tan Binh | 6 | 108 Tay Thanh, Tay Thanh Ward, Tan Phu District, HCM |
9 | 050 | Vinh Loc | 3 | Road No. 7, Administrative Area, Vinh Loc Industrial Park, Binh Duong District Tan, HCM |
10 | 051 | District 5 | 2 | 2D-2E Ly Thuong Kiet, Ward 12, District 5, HCM |
11 | 053 | Binh Thanh | 4 | 199 Dien Bien Phu, Ward 15, Binh Thanh District, HCM |
12 | 072 | Ky Dong | 2 | 13-13Bis Ky Dong, Ward 9, District 3, HCM |
Total | 65 | |||
(Source: Vietcombank Annual Report)
2.4.3 Vietcombank's human resources situation
As of December 31, 2012, Vietcombank had approximately 13,637 employees. Along with the increase in business activities, the number of employees also increased significantly in line with the development of the bank. Compared to 2011, the number of employees increased by 8.53%, specifically 1,072 people.
2.5 Research hypothesis and research model
2.5.1 Research hypothesis
- Salary and bonus factor : Based on the above studies, the factor "salary and bonus" is identified as a factor affecting employee job satisfaction. Salary and bonus (also known as income) is the amount of money that employees receive from their total monthly salary at the bank, excluding other income when they do other jobs (at other places than the bank). This income includes regular and non-regular bonuses, commissions (if any) and other monetary benefits arising directly from the current main job.
Hypothesis H1(+): Income has a positive effect on employee job satisfaction, meaning the higher the income, the more satisfied the employee is with his or her job.
- Training and promotion opportunity factor: Training is the process of learning certain skills to perform a job. Promotion is the move to a position or a job with a higher level of importance. In this topic, training is understood as courses on skills and job skills for employees. Training and promotion are included in the factor because training is understood as improving the ability, creating conditions for employees to complete jobs in order to create promotion opportunities for employees. Therefore, people who are ambitious all want to work in an environment with many opportunities to learn and improve their skills and knowledge, that is why the author includes the factor "training and promotion opportunities" in the model.
Hypothesis H2(+): Training and promotion opportunities have a positive impact on employee job satisfaction. The more training and promotion opportunities employees receive, the higher their level of satisfaction.
- Colleagues : Colleagues are people who work together. In the scope of this topic, colleagues are people who work in the same department or at the same bank and regularly exchange and share work with each other. Most of the time in the work of a bank employee is working and exchanging,
Share with colleagues. A banking operation usually involves many departments, so to make the job go smoothly, employees need to get support from colleagues when needed, and find comfort and friendliness when working with colleagues (Hill, 2008). At the same time, employees must find their colleagues dedicated to their work to achieve the best results (Bellingham, 2004). In addition, colleagues need to be trustworthy (Chami & Fullenkamp, 2002). This hypothesis is as follows:
Hypothesis H3(+): Relationship with colleagues has a positive effect on satisfaction, meaning that the better the relationship with colleagues, the higher the employee's level of satisfaction with work.
- Working conditions factor : Working conditions are the working conditions of bank employees. For this research topic, working conditions are factors that affect the health and convenience of bank employees at work, including: workplace facilities (Bellingham, 2004), working hours, safe and comfortable workplace (Durst, 1997), overtime. When employees work in a comfortable environment, fully equipped, clean and comfortable workplace, employees will feel cared for. Partly satisfying the needs of employees, this is an important factor that helps employees increase labor productivity. Therefore, the hypothesis is set out as follows:
Hypothesis H4 (+): Working conditions have a positive effect on job satisfaction. Good (favorable) working conditions make employees more satisfied with their jobs.
- Nature of work : Nature of work is understood as the requirements for the job, the author measures the nature of work by the following variables: the job requires many skills of the employee, the employee understands the job well, the importance of the job in the bank, is the job arranged appropriately for the employee, do the employees have the right to decide within the scope of the work they are in charge of. Refer to the job characteristics model of Hackman and Oldman





