Advances in Consumer Research
Issue:5 : 2215-2229
Research Article
Organizational Factors Affecting Employee Well-Being Mediated by Job Satisfaction in Hotel Industry in Nanning, China
 ,
1
Graduate School of Management, Management and Science University, Malaysia & Guangxi Vocational and Technical College, China.
2
School of Education and Social Sciences, Management and Science University, Malaysia. Correspondent
Received
Sept. 30, 2025
Revised
Oct. 17, 2025
Accepted
Nov. 18, 2025
Published
Nov. 25, 2025
Abstract

As an important industry of service industry, hotel industry has increasingly become an important part of the present stage. The well-being of hotel employees in China has been a growing concern in recent years. This study seeks insights into organizational factors such as organizational culture (OC), corporate social responsibility (CSR), work-life balance(WLB), high performance work systems (HPWS) and job satisfaction(JS) that may influence employee well-being(EWB) in hotel industry. This study collected data through a structured questionnaire, and responses were collected by systematic sampling methods from 492 hotel managers and front-line workers of three-star hotels and above in Nanning, Guangxi China. Data were analyzed using Structural Equation Modeling (SEM) method through SPSS23.0 and Amos26.0. The study found that organizational factors have significant effect on EWB and JS. JS plays a partial mediating role between organizational factors and EWB in the hotel industry, among which WLB is the most significant impact on EWB. This study provides strong data support for decision makers in the hotel industry, help them formulate more effective human resource management policies. The study added to theoretical understanding and useful tactics for improving worker well-being by highlighting how strategic CSR may build a more resilient and effective hospitality industry. The alignment of corporate social responsibility practices with the global Sustainable Development Goals is a vital step that must be taken by both academics and practitioners in order to encourage responsible corporate conduct across a variety of industries in Asia. However, limitations of the study are research scope, method of data collections, time limit and research depth. Therefore, further investigations needed to enroll a wider scope, adopt a mixed method included both quantitative and qualitative, more research on other affecting factors and mechanisms of employee well-being should be done. In conclusion, this study was pioneering in its examination of employee well-being's relevance in hotel industry.

Keywords
INTRODUCTION

The hotel industry in China has entered a golden age in the 21st century, marked by rapid growth, fierce competition, significant tax revenue generation, and job creation, contributing to the tourism sector. According to the survey, the hotel industry creates 16.68 billion yuan of tax revenue for the national finance every year, and provides about 1.51 million employment opportunities for the society every year, which has good social effect (Peilin & Chen,2021).In the field of industrial management, more and more enterprise leaders have realized that the well-being index of employees has a profound impact on the relationship between enterprises and employees, and is the basic guarantee for the sustainable development of enterprises. In labor-intensive and demanding fields like hospitality, where workers are more likely to encounter stressful circumstances, employee well-being is crucial (Afshari, Hayat, Ramachandran, Bartram, & Balakrishnan, 2022; Hayat & Afshari, 2021). In the hotel industry,being exposed to AI can lead to increased employee job insecurity (Yam et al., 2023), reduced employee team identity (Savela et al., 2020) and well-being (Kinowska & Sienkiewicz, 2023). In the meantime, there was the findings indicate that robot-phobia affects hospitality workers across all industries and positions. This worry causes increased job uncertainty and stress, which increases the likelihood of turnover. These negative impacts are especially obvious for employees who have more regular interactions with robots (Cai, . Businesses in the tourism and hospitality industries can only offer their clients high-quality services if their employees are loyal, content, and committed. Workers who believe that their company values their health are better able to treat clients with the same consideration,which will improve customer satisfaction(Yang, Kim, Min, & Hernandez-Calderon, 2021).

 

As we enter the twenty-first century, the corporation no longer focuses on employees' knowledge, but rather on optimizing quality and function, as well as their happy work experiences. Well-being is crucial for individual work performance, employees that are happy tend to perform better at work, are more creative, and are more resilient to stress and hardship, are more productive and satisfied.The United Nations Sustainable Development Goals (SDGS), adopted by UN Member States in September 2015, are primarily aimed at promoting human well-being and social-economic development.   Some SDGS are closely related to employee well-being. At the same time, in the hotel industry, sustainability—the cautious use of resources so that they are not exhausted or damaged—is essential.The hospitality sector contributes significantly to the global economy while having a variety of negative effects on the environment and society.   As a result, the hospitality sectors might be considered critical industries supporting the SDGs.

 

Based on this, this paper takes employee well-being of star-rated hotels in China as the main research content, analyzes and summarizes employee well-being, in-depth studies the current situation of employee well-being of star-rated hotels in China, and starts from several dimensions of employee well-being, such as organizational culture, corporate social responsibility, work-life balance and high-performance work system. To understand the psychology needs of employees, to determine the impact of organizational factors on employee well-being and job satisfaction, examine the impact of job satisfaction on employee well-being, ascertain the mediating effects of job satisfaction between organizational factors and employee well-being, so as to help hotel managers more effectively stimulate the work potential of employees and improve the current human resource management model of the hotel industry.

LITERATURE REVIEW

2.1 The Association between organizational factors and employee well-being and employee well-being

The Association between organizational culture and employee well-being. According to Schein's (1984) three-level model, organizational culture represents the behavior of all individuals of an organization, well-being is an important aspect of organizational culture research (Arslanparcasi, 2023).Positive organizational culture is associated with increased employee well-being (Alkhodary, 2023). Organizational culture has a positive and significant impact on mental health(Sun et al., 2023). Positive workplace cultures prioritize employees' well-being, effective leadership increases employee well-being and productivity (Biggadike et al., 2023). Organizational culture is significantly positively correlated with employee well-being (Mohammed et al., 2024). Based on the above analysis, this study proposes the following hypothesis:

 

  • H1: There is a significant effect of organizational culture on employee well-being.

 

The Association between corporate social responsibility and employee well-being. Based on a survey of 326 employees from hotel managers and front-line employees in Punjab, Pakistan, the research shows that CSR has a positive significant association with employee well-being (Hayat & Afshari, 2022). When employees cooperate with companies willing to undertake social responsibility, they will feel safe and comfortable, and the CSR environment can create a way for employees to realize their self-worth, thus promoting their well-being (Wu Dingyu, He li, 2023). Corporate social responsibility enhances employee well-being by creating a peaceful environment, trust, and good management-labor relationships, leading to loyal employees and improved quality of life (Mrs., M, Sathiya er al.,2024). Based on the above analysis, this study proposes the following hypothesis:

 

  • H2: There is a significant effect of corporate social responsibility on employee well-being.

 

The work-life balance and employee well-being. Work-life balance is a major challenge for organizations today. Poor work-life balance has a negative impact on employees' health and psychology, which suggests a significant relationship between work-life balance and employee well-being, flexible work arrangements, such as remote work and flexible hours, are important for improving work-life balance(Verma et al., 2022). Work-life balance is important predictors of employee psychological well-being, work-life balance has a significant positive relationship with employee psychological well-being, improving work-life balance benefits employees' psychological well-being (Nwanzu & Babalola, 2023). Work-life balance and job satisfaction have a significant impact on psychological well-being, effective contribution of work-life balance and job satisfaction in predicting psychological well-being is 59.8%(Septina & Soeharto, 2023). Based on the above analysis, this study proposes the following hypothesis:

 

  • H3: There is a significant effect of work-life balance on employee well-being.

 

The Association between high performance work systems and employee well-being. Huselid (1995) asserts that high performance work systems can have an impact on employees' motivation for their jobs. so that a higher level of motivation can impact an employee's well-being (Huselid, 1995).High performance work systems has a significant influence on employee well-being, applying HPWS can create a harmonious working environment and boost job involvement (Tripathi & Kumar, 2023). Similarity, Babic et al pointed out high performance work systems have a significant relationship with employee well-being at work, HPWS leads to more enrichment and less conflict between work and family lives (Babic et al., 2019). High performance work systems directly influence employees' quality of life (QoL), which is a measure of well-being (Dorta-Afonso et al., 2021a). Based on the above analysis, this study proposes the following hypothesis:

 

 

  • H4: There is a significant effect of high-performance work systems on employee well-being.

 

2.2 The Association between organizational factors and Job satisfaction

The Association between organizational culture and job satisfaction. Organizational culture is embodied in the organization's core values. There is a positive influence between organizational culture and job satisfaction (Muhtar & Wahyuni, 2023). It examines the level of employee satisfaction and motivation, as well as the impact of culture on employee satisfaction (Jamal Ali & Anwar, 2021). Through a survey of 167 company employees, using an overall sample to identify respondents, organizational culture positively influences job satisfaction, employee performance, and commitment (Korda & Rachmawati, 2022). Based on the above analysis, this study proposes the following hypothesis:

 

  • H5: There is a significant effect of organizational culture on job satisfaction.

 

The Association between corporate social responsibility and job satisfaction. Despite growing interest in corporate social responsibility (CSR) and its impact on employee attitudes and conduct, there is only a limited amount of research accessible on the micro-level of CSR. Employees' perceptions of CSR encourage authority to be fair in all actions, which improves employees’ level of satisfaction by collecting data from the employees of the banking sector of Pakistan (Asghar et al., 2022). Based on a sample survey of 344 junior employees, the study found a direct positive and substantial association between employee CSR perceptions and extrinsic and intrinsic job satisfaction. This study examines the impact of CSR on employee job satisfaction and finds that prioritizing CSR enhances employee pride and sense of belonging, which improves job satisfaction and company performance (Mingming et al.,2024). Based on the above analysis, this study proposes the following hypothesis:

 

  • H6: There is a significant effect of corporate social responsibility on job satisfaction.

 

The Association between work-life balance and job satisfaction. Work-life balance has a big impact on job satisfaction. Based on the responses provided by 206 millennial respondents who had worked in Indonesia, the survey was carried out. Work-life balance has a positive effect on job satisfaction with stress as an intervening variable(Jessica et al., 2023). Chi-square test was employed to analyze the data, there was a strong positive correlation between work-life balance and job satisfaction in the shipyard industry employees (Nugroho et al., 2023). A sample size of 53 respondents was taken using a non-probability sampling technique with a saturated sample method. The results show that work-life balance has a positive and significant effect on job satisfaction (Deddy et al.,2024). Based on the above analysis, this study proposes the following hypothesis:

  • H7: There is a significant effect of work-life balance on job satisfaction.

 

The Association between high performance work systems and job satisfaction. One study found that HPWS can have a positive impact on job satisfaction (Zhang et al., 2023). A survey of 202 hotel employees on Gran Canaria (Spain) was conducted, and the data was analyzed using partial least squares structural equation modeling, the results confirmed high performance work systems (HPWS) affect employee job satisfaction in hospitality firms (Dorta-Afonso et al., 2023). The analysis was conducted via IBM statics covering SPSS and AMOS and included descriptive, factor, and statistical regression analyses. HPWS holds a favorable effect on job satisfaction on immigrant employees in the hotel sector of Northern Cyprus, psychological capital has a mediating role (Cizrelioğulları & Babayiğit, 2022). Based on the above analysis, this study proposes the following hypothesis:

H8: There is a significant effect of high-performance work systems on job satisfaction.

 

2.3 The Association between Job satisfaction and employee well-being

Job satisfaction significantly affects employee well-being by fostering positive emotions about the work environment, thereby increasing overall life satisfaction (Smt.Gudivada et al.,2024). The study shows that job satisfaction significantly affects employee well-being by improving overall morale and productivity in the workplace (Divya et al.,2024). In addition, the results of this study are job satisfaction, leadership and organizational justice each have a positive influence on employee well-being. Job satisfaction, leadership and organizational justice also have a significant relationship to employee well-being (Fransiska et al., 2023). Based on the above analysis, this study proposes the following hypothesis:

 

  • H9: There is a significant effect of job satisfaction on employee well-being.

 

2.4 Job satisfaction mediates organizational factors and employee well-being 

Job satisfaction mediates organizational culture and employee well-being. There is a positive influence between organizational culture and job satisfaction (Muhtar & Wahyuni, 2023).Organizational culture is significantly positively correlated with employee well-being (Mohammed et al., 2024). Positive culture can improve job satisfaction and enhance employee well-being and loyalty, thus highlighting the mediating role of satisfaction in the relationship between culture and well-being (Jordan & Vincent,2024). Job satisfaction mediates the relationship between organizational culture and employee outcomes, including well-being. The study highlights that a supportive organizational culture can increase job satisfaction, which in turn can improve employee performance, motivation, and overall well-being (Soegiarto, 2024). Based on the above analysis, this study proposes the following hypothesis:

  • H10: The mediating effect of organizational culture between corporate social responsibility and employee well-being.

 

Job satisfaction mediates corporate social responsibility and employee well-being. This study examines the impact of CSR on employee job satisfaction and finds that prioritizing CSR enhances employee pride and sense of belonging, which improves job satisfaction (Mingming et al.,2024). Franciska et al (2023) also pointed out that job satisfaction has a positive impact on employee well-being, and there is a significant relationship between job satisfaction and employee well-being. Employees will feel safe and comfortable when they cooperate with a company that is willing to undertake social responsibility, and a CSR environment can create ways for employees to realize their self-worth, thus promoting their well-being (Wu Dingyu, He Li, 2023). The study shows that employee satisfaction mediates the relationship between corporate social responsibility (CSR) and employee performance, suggesting that enhanced CSR initiatives can increase employee satisfaction, which in turn has a positive impact on employee performance and overall well-being (Di, Yang & Rozaini, 2024). In addition, In Punjab, Pakistan, frontline employees and hotel management provided data (N = 326). The findings indicate that taking part in CSR initiatives improves employees' positive emotional states and increases job satisfaction and organizational dedication in addition to immediately enhancing their well-being. The association between CSR and employee well-being is mediated by job satisfaction (Hayat & Afshari, 2022). Based on the above analysis, this study proposes the following hypothesis:

 

  • H11: The mediating effect of job satisfaction between corporate social responsibility and employee well-being.

 

Job satisfaction mediates work-life balance and employee well-being.Work-life balance has a positive effect on job satisfaction (Jessica et al., 2023; Deddy et al., 2024). Work-life balance is a major challenge for organizations today. Poor work-life balance has a negative impact on employees' health and psychology, which suggests a significant relationship between work-life balance and employee well-being (Verma et al., 2022).  Job satisfaction has a positive impact on employee well-being, and there is a significant relationship between job satisfaction and employee well-being (Franciska et al., 2023; Divya et al., 2024 ). In addition, job satisfaction significantly affects employee well-being by fostering positive emotions about the work environment, thereby increasing overall life satisfaction (Smt.Gudivada et al., 2024). The study highlights that job satisfaction mediates the relationship between work-life balance and employee performance, suggesting that improving work-life balance can increase job satisfaction, which in turn has a positive impact on employee performance, thereby contributing to the overall well-being of employees (Andreas et al, 2024). Based on the above analysis, this study proposes the following hypothesis:

  • H12: The mediating effect of job satisfaction between work-life balance and employee well-being.

 

Job satisfaction mediates high performance work systems and employee well-being. A survey of 202 hotel employees on Gran Canaria (Spain) was conducted, and the data was analyzed using partial least squares structural equation modeling, the results confirmed high performance work systems affect employee job satisfaction in hospitality firms (Dorta-Afonso et al., 2023). The study pointed out that HPWS, as a resource acquisition platform, can enhance psychological capital and promote overall well-being (Peethambaran & Naim , 2024) . The research showed that a high-performance work system has a significant impact on employee well-being, and the application of HPWS can create a harmonious work environment and improve work engagement (Tripathi & Kumar, 2023). A key component of increasing productivity in any firm is workplace well-being.Job satisfaction significantly affects employee well-being by fostering positive emotions about the work environment, thereby increasing overall life satisfaction (Smt Gudivada et al.,2024). In addition, job satisfaction has a positive impact on employee well-being, and there is a significant relationship between job satisfaction and employee well-being (Franciska et al., 2023; Divya et al., 2024 ).Based on the above analysis, this study proposes the following hypothesis:

 

  • H13: The mediating effect of job satisfaction between high performance work systems and employee well-being.

 

 

The following areas will clearly explain each relationship between variables and the definitions suitable for recent study based on the literature findings. The proposed research framework is shown in Figure 1.

 

Figure 1. Conceptual Framework

 

Note: Organizational Culture (OC), Corporate Social Responsibility (CSR), Work-Life Balance (WLB), High Performance Work Systems (HPWS), Job Satisfaction (JB), Employee Well-being (EWB).

METHODS

For the purpose of this study, the quantitative research methodology was utilized, and the questionnaire survey method and systematic sampling were utilized. Questionnaires were distributed to participants in order to collect data for this study. Online distribution of the questionnaire was carried out by means of Questionnaire Star. Hotel staff members were able to access the questionnaire page by means of a QR code that was shared on their mobile devices, and they were responsible for completing the questionnaire on their own.

 

The total number of questionnaires distributed is 628 in three-star hotels and higher in Nanning, Guangxi China, the total number of questionnaires returned is 521, a total of 492 valid samples were collected and return rate was 82.96% in this study, which were described and analyzed from the basic information of the respondents respectively through SPSS 23, as shown in the following Table 1:

 

Table 1. Demographic profile of the respondents

Demographic variables

category

Frequency

Percent

Gender

Male

132

26.8

 

Female

360

73.2

Age

18-25

185

37.6

 

26-30

119

24.2

 

31-40

113

23

 

41-50

59

12

 

≥51

16

3.3

Hotel Category

3-star hotel

295

60

 

4-star hotel

123

25

 

5-star hotel

74

15

Educational Level

High school or below

38

7.7

 

Junior college

238

48.4

 

Undergraduate course

181

36.8

 

Graduate student

35

7.1

Department

Reception

113

23

 

Food and Beverage

157

31.9

 

Housekeeping

57

11.6

 

Management

51

10.4

 

Others

114

23.2

 Position

Front-line worker

316

64.2

 

Supervisor

82

16.7

 

Middle manager

60

12.2

 

Executive

34

6.9

Marital Status

Unmarried

278

56.5

 

Married

214

43.5

Work Experience

Less than 1 year

126

25.6

 

1-5 years

196

39.8

 

6 to 10 years

50

10.2

 

11 to 15 years

82

16.7

 

16-20 years

19

3.9

 

More than 20 years

19

3.9

Monthly Salary

Less than RMB 3000

139

28.3

 

RMB 3000 - RMB 5000

180

36.6

 

RMB 5001 - RMB 7000

58

11.8

 

 RMB 7001 - RMB 10000

68

13.8

 

More than RMB 10000

47

9.6

Working Hours Per Day

≤8 hours

159

32.3

 

9 hours

171

34.8

 

10 hours

118

24

 

11 hours

25

5.1

 

≥12 hours

19

3.9

 

4.0 RESULTS

4.1 Reliability analysis

For the purpose of this investigation, the primary elements were evaluated using scales; hence, the examination of the data quality of the results that were measured is an essential premise that must be met in order to guarantee the significance of the subsequent analysis. In the first step of the process, the reliability test known as Cronbach's Alpha coefficient was utilized to examine the internal consistency of each dimension. At any one time, the clone Bach coefficient can take on any value between 0 and 1. There is a correlation between the coefficient value of the test result and the level of dependability present. When it comes to variables, it is generally accepted that the Cronbach's Alpha coefficient needs to be higher than 0.7 in order for them to have decent dependability. Table 2 presents the results of an analysis of the reliability of the CSR influence on JS and EWB.

 

Table 2. Reliability analysis

Variable

Item

Corrected Item-Total Correlation

Cronbach's Alpha

if Item Deleted

Cronbach's Alpha

OC

OC1

0.734

0.827

0.864

OC2

0.705

0.830

OC3

0.635

0.849

OC4

0.688

0.835

OC5

0.678

0.837

CSR

CSR1

0.772

0.912

0.924

CSR2

0.754

0.913

CSR3

0.659

0.919

CSR4

0.700

0.917

CSR5

0.669

0.919

CSR6

0.745

0.914

CSR7

0.696

0.917

CSR8

0.714

0.916

CSR9

0.820

0.909

WLB

WLB1

0.789

0.849

0.884

WLB2

0.741

0.857

WLB3

0.606

0.879

WLB4

0.667

0.869

WLB5

0.674

0.869

WLB6

0.713

0.863

HPWS

HPWS1

0.735

0.811

0.857

HPWS2

0.657

0.832

HPWS3

0.574

0.851

HPWS4

0.704

0.819

HPWS5

0.697

0.820

JS

JS1

0.763

0.841

0.879

JS2

0.733

0.848

JS3

0.632

0.871

JS4

0.721

0.851

JS5

0.709

0.854

EWB

EWB1

0.799

0.926

0.936

EWB2

0.758

0.928

EWB3

0.724

0.930

EWB4

0.744

0.929

EWB5

0.703

0.931

EWB6

0.750

0.929

EWB7

0.733

0.930

EWB8

0.756

0.928

EWB9

0.854

0.922

Note: Organizational Culture (OC), Corporate Social Responsibility (CSR), Work-life Balance (WLB), High Performance Work Systems (HPWS), Job Satisfaction (JS),, Employee Well-being (EWB).

 

As can be observed from the table that is located above, the Cronbach's Alpha coefficient of each variable is higher than the usual value of 0.7. This indicates that the variable possesses a high level of dependability with regard to its internal consistency. Because the CITC is greater than 0.5, it may be concluded that the measuring items satisfy the requirements of the research. In the context of the "delete Cronbach's Alpha value of this item" perspective, the deletion of any question will not result in an increase in the Cronbach's Alpha value. This is an indication that the variable possesses a high degree of dependability.

 

4.2 Confirmatory Factor Analysis

The Confirmatory Factor Analysis (CFA) is a statistical procedure that is utilized to examine the connection between the variables that have been seen and the variables that could be observed. For this reason, confirmatory factor analysis (CFA) is selected as the method to do additional validity testing. In order to evaluate the convergence validity of the measurement tool, it is necessary to determine whether the observed variable is capable of offering an accurate measurement of the underlying variable. There are a total of 39 measurement questions included in this study, which includes a total of 6 dimensions. Following the completion of confirmatory factor analysis with Amos26.0, the following table 3 and figure 1 are obtained.

 

Figure 2. Initial Overall Measurement Model

 

Table 3. Fit degree of confirmatory factor model

Model fit

Recommended values

Measurement model

Result

CMIN

——

940.129

——

DF

——

687

——

CMIN/DF

<3

1.368

Accepted

RMR

<0.08

0.042

Accepted

GFI

>0.9

0.913

Accepted

AGFI

>0.9

0.901

Accepted

NFI

>0.9

0.923

Accepted

IFI

>0.9

0.978

Accepted

TLI

>0.9

0.976

Accepted

CFI

>0.9

0.978

Accepted

RMSEA

<0.08

0.027

Accepted

Source: Authors own data

 

According to the data presented in the table above, the CMIN/DF ratio is 1.368, which is lower than the standard of 3. The GFI, AGFI, NFI, TLI, IFI, and CFI are all larger than 0.9, while the PCFI and PGFI are both greater than 0.5. The RMR is 0.042, which is lower than 0.08, and the RMSEA is 0.027, which is also lower than 0.08. Because each fitting index satisfies the general research criteria, it is possible to conclude that the model is a good match for the data.

 

Table 4. CFA Report for Each Construct in the Model

Variable

Item

Factor loading

CR

AVE

OC

OC1

0.814

0.867

0.567

OC2

0.770

OC3

0.685

OC4

0.756

OC5

0.734

CSR

CSR1

0.801

0.925

0.578

CSR2

0.782

CSR3

0.686

CSR4

0.740

CSR5

0.701

CSR6

0.773

CSR7

0.722

CSR8

0.758

CSR9

0.862

WLB

WLB1

0.852

0.887

0.568

WLB2

0.794

WLB3

0.642

WLB4

0.737

WLB5

0.718

WLB6

0.764

HPWS

HPWS1

0.810

0.860

0.553

HPWS2

0.732

HPWS3

0.634

HPWS4

0.769

HPWS5

0.762

JS

JS1

0.823

0.881

0.597

JS2

0.796

JS3

0.697

JS4

0.767

JS5

0.774

EWB

EWB1

0.821

0.936

0.621

EWB2

0.784

EWB3

0.748

EWB4

0.783

EWB5

0.734

EWB6

0.778

EWB7

0.756

EWB8

0.791

EWB9

0.887

Source: Authors own data from three-star hotels and above in Nanning, Guangxi China

 

As can be observed from the table that is located above, the Cronbach's Alpha coefficient of each variable is higher than the standard of 0.7, which indicates that the variable possesses a high level of dependability in terms of its internal consistency. Each variable possesses a high degree of convergence validity, as evidenced by the fact that the standardized factor load of each measurement index is greater than 0.6, the component reliability (CR) is greater than 0.7, and the average variation extraction (AVE) is greater than 0.5.

 

4.3 Discriminant validity

A more stringent version of the AVE approach was utilized in this investigation in order to assess the discriminative validity. According to Fornell and Larcker (1981), in order to demonstrate that there is discriminative validity among factors, the square root of the AVE for each component must be greater than the correlation coefficient for each pair of variables. As a result of the fact that the AVE square root of each factor is higher than the standardized correlation coefficient outside of the diagonal line, this study continues to have differential validity. The correlation coefficient is shown by the bottom oblique triangle. The fifth table is presented below.

 

Table 5. Discriminant validity

 

OC

CSR

WLB

HPWS

JS

EWB

OC

0.753

 

 

 

 

 

CSR

.435**

0.760

 

 

 

 

WLB

.418**

.401**

0.754

 

 

 

HPWS

.400**

.396**

.456**

0.744

 

 

JS

.463**

.539**

.537**

.474**

0.773

 

EWB

.484**

.500**

.508**

.488**

.614**

0.788

Source: Authors own data from three-star hotels and above in Nanning, Guangxi China

 

Note: ** There was a significant association at 0.01 level (bilateral)

* There was a significant association at the 0.05 level (bilateral)

※Square root of the AVE on the diagonal (bold)

 

4.4 Structural equation model

In this particular investigation, the structural equation model analysis was carried out with AMOS26.0, and the estimation was carried out with the maximum likelihood approach. Figure 2 illustrates the findings that were obtained.

Figure3.Structural Equation Model

 

Table 6. Structural Equation Model Fit Degree

Model fit

Recommended values

Structural model

Resut

CMIN

——

940.129

——

DF

——

687

——

CMIN/DF

<3

1.368

Accepted

RMR

<0.08

0.042

Accepted

GFI

>0.9

0.913

Accepted

AGFI

>0.9

0.901

Accepted

NFI

>0.9

0.923

Accepted

IFI

>0.9

0.978

Accepted

TLI

>0.9

0.976

Accepted

CFI

>0.9

0.978

Accepted

RMSEA

<0.08

0.027

Accepted

Source: Authors own data from three-star hotels and above in Nanning, Guangxi China

 

According to the data presented in the table above, the CMIN/DF ratio is 1.368, which is lower than the standard of 3. The GFI, AGFI, NFI, TLI, IFI, and CFI are all larger than 0.9, while the PCFI and PGFI are both greater than 0.5. The RMR is 0.042, which is lower than 0.08, and the RMSEA is 0.027, which is also lower than 0.08. Because each fitting index satisfies the general research criteria, it is possible to conclude that the model is a good match for the data.

 

Table 7. Path coefficient

Path

Standardization coefficient (β)

Unstandardization coefficient (B)

S.E.

C.R.

P

Result

JS

<---

OC

0.152

0.182

0.060

3.016

0.003

Supported

JS

<---

CSR

0.309

0.331

0.052

6.400

***

Supported

JS

<---

WLB

0.297

0.331

0.056

5.871

***

Supported

JS

<---

HPWS

0.177

0.190

0.054

3.520

***

Supported

EWB

<---

OC

0.149

0.177

0.058

3.049

0.002

Supported

EWB

<---

CSR

0.119

0.126

0.051

2.469

0.014

Supported

EWB

<---

WLB

0.130

0.143

0.056

2.563

0.010

Supported

EWB

<---

HPWS

0.153

0.163

0.052

3.125

0.002

Supported

EWB

<---

JS

0.350

0.347

0.059

5.886

***

Supported

Source: Authors own data from three-star hotels and above in Nanning, Guangxi China

 

It can be concluded from the above table that OC has a significant positive effect on JS (β=0.152, p<0.05), and the hypothesis is valid. CSR had a significant positive effect on JS (β=0.309, p<0.05), and the hypothesis was valid. WLB had a significant positive effect on JS (β=0.297, p<0.05), and the hypothesis was valid. HPWS had a significant positive effect on JS (β=0.177, p<0.05), and the hypothesis was valid.

 

OC had a significant positive effect on EWB (β=0.149, p<0.05), and the hypothesis was valid. CSR had a significant positive effect on EWB (β=0.119, p<0.05), and the hypothesis was valid. WLB had a significant positive effect on EWB (β=0.130, p<0.05), and the hypothesis was valid. HPWS had a significant positive effect on EWB (β=0.153, p<0.05), and the hypothesis was valid. JS had a significant positive effect on EWB (β=0.350, p<0.05), and the hypothesis was valid.

 

4.5 Mediating test

For the purpose of confirming the mediation effect, this study made use of the bootstrapping method. Based on the findings of the research, it can be concluded that the direct, intermediate, and total effects are significantly present if the bootstrap confidence interval does not contain the value 0. It was determined that the level value under 95% confidence was produced by running the Bootstrap technique 5000 times in AMOS26.0. The results are displayed in the following table 8.

 

Table 8. Mediating test

Path

Estimate

SE

Bootstrap=5000 95%CI

P

Findings

Lower

Upper

 

OC-EWB Total effect

0.202

0.055

0.091

0.308

0.000

Partial mediation

OC-JS-EWB Indirect effect

0.053

0.020

0.019

0.102

0.002

OC-EWB Direct effect

0.149

0.052

0.046

0.250

0.005

CSR-EWB Total effect

0.227

0.046

0.134

0.317

0.000

Partial mediation

CSR-JS-EWB Indirect effect

0.108

0.027

0.062

0.169

0.000

CSR-EWB Direct effect

0.119

0.051

0.018

0.219

0.022

WLB-EWB Total effect

0.234

0.055

0.126

0.339

0.000

Partial mediation

WLB-JS-EWB Indirect effect

0.104

0.028

0.058

0.171

0.000

WLB-EWB Direct effect

0.130

0.061

0.010

0.247

0.033

HPWS-EWB Total effect

0.215

0.053

0.110

0.316

0.000

Partial mediation

HPWS-JS-EWB Indirect effect

0.062

0.023

0.023

0.118

0.001

HPWS-EWB Direct effect

0.153

0.051

0.053

0.253

0.003

Source: Authors own data from three-star hotels and above in Nanning, Guangxi China

 

As can be seen from the above table, the total effect size of OC-EWB is 0.202, which does not include 0 in the Lower and Upper value intervals of 95% CI, and p<0.05 indicates that the total effect is significant. The indirect effect value of OC-JS-EWB was 0.053, which did not include 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated mediating significance. The direct effect value of OC-EWB was 0.149, which did not contain 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated direct significance. Therefore, job satisfaction plays a partial mediating role between organizational culture and employee well-being.

 

The total effect size of CSR-EWB was 0.227, which did not include 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated that the total effect was significant. The indirect effect value of CSR-JS-EWB was 0.108, which did not include 0 in the Lower and Upper value ranges of 95%CI, and p<0.05 indicated mediating significance. The direct effect value of CSR-EWB was 0.119, which did not contain 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated direct significance. Therefore, job satisfaction plays a partial mediating role between corporate social responsibility and employee well-being.

The total effect size of WLB-EWB was 0.234, which did not include 0 in the Lower and Upper ranges of 95%CI, and p<0.05 indicated that the total effect was significant. The indirect effect value of WLB-JS-EWB was 0.104, which did not include 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated mediating significance. The direct effect value of WLB-EWB was 0.130, which did not include 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated direct significance. Therefore, job satisfaction plays a partial mediating role between work-life balance and employee well-being.

 

The total effect size of HPWS-EWB was 0.215, which did not include 0 in the Lower and Upper ranges of 95%CI, and p<0.05 indicated that the total effect was significant. The indirect effect value of HPWS-JS-EWB was 0.062, which did not include 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated that the mediation was significant. The direct effect value of HPWS-EWB is 0.153, which does not contain 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicates direct significance. Therefore, job satisfaction plays a partial mediating role between high performance work systems and employee well-being.

DISCUSSION

According the above literature, it could be best summarized that the proposed four organizational factors do have the potential impacts on employee well-being, among which work-life balance is the most significant impact on employee well-being. At the same time, organizational factors have a positive impact on job satisfaction, job satisfaction has a positive impact on employee well-being . The study focuses on the ways in which organizational factors might have an effect on the well-being of hotel employees. Job satisfaction is found to play a role in mediating the relationship between organizational factors and employee well-being. Among the most important findings of this research is a contribution to the existing body of literature concerning the influence of organizational factors on the health and well-being of hotel staff members. In addition, the alignment of corporate social responsibility practices with the global Sustainable Development Goals is a vital step that must be taken by both academics and practitioners in order to encourage responsible corporate conduct across a variety of industries in Asia (Zhang K. Hao, 2024).

 

Technological improvements have increased employment insecurity while also bringing flexibility, which has impacted how people balance work and family demands. Work-family conflict impacts employees' well-being in Chinese hotels, moderated by spouses' work-family conflict and gender, highlighting the importance of understanding and addressing these factors for employee welfare (Anu et al., 2024). At the same time, employee growth must be supported by management, particularly direct supervisors, when adopting policy changes (Tan, 2023). Managers of the hotel should take the initiative to train staff members and other employee-employer relationships on how to handle the adoption of AI. They should make them feel secure and explain that the use of AI can reduce repetitive tasks and make employees' lives easier, reduce stress, improve working conditions and hours, improve employee well-being, and create happy guests and customers—all of which reduce turnover. Encouraging all stakeholders to build trust in AI could help ensure that it is seen as a win-win strategy for hospitality organizations, staff, and customers (Kong et al., 2024).

CONCLUSION

The study found the construction of affecting employee well-being about empirical research and has examined the organizational factors affecting employee well-being. The organizational factors examined were organizational culture, corporate social responsibility, work-life balance and high-performance work systems. They have a significant correlation to employee well-being, among which work-life balance is the most significant impact on employee well-being.

 

The study helps to improve the level of hotel service and develop the hotel industry (Yu Xin & Lu Yumei, 2022). Employees who feel their organization cares about their well-being can show similar care to customers, ultimately enhancing the customer experience (Yang, Kim, Min, & Hernandez-Calderon, 2021). This research encourages hotel enterprises to pay more attention to the fulfillment of social responsibility, pay attention to the physical and mental health and career development of employees, and establish a good corporate image (Aamir Hayat & Leila Afshari, 2022). Practical implications are provided to attract and motivate young employees in the hotel industry (Keheng Xiang et al., 2024).

 

This study offers theoretical contributions to positive psychology and employees’ well-being research (Keheng Xiang et al., 2024). By highlighting the importance of strategic CSR in building a more sustainable and effective hospitality industry, this study advances theoretical understanding and useful tactics for improving employee well-being (Li, Manta, & Alzuman, 2024).

 

The research promote supportive work environments and implement policies that target work characteristics and organizational values to improve the overall health of employees (Majeed & Haq, 2023). In order to improve the climate of psychological safety, transparent and clear systems and policies, including the identification of bullying, its effective handling, and the promotion of a culture of respect and inclusion, are also essential (Elshaer et al., 2025). It recommends implementing regulations that promote employee well-being and safe behavior, ultimately enhancing workplace safety in the hospitality industry (El‐Sherbeeny et al., 2024). Prioritize the well-being of hospitality workers by promoting supportive employment resources and integrating generative AI, ensuring employee motivation, and addressing adverse work demands such as workload and emotional stress (Basalamah et al., 2024). The research may add to theoretical understanding and useful tactics for improving worker well-being by highlighting how strategic CSR may build a more resilient and effective hospitality industry (Li, Manta & Alzuman, 2024).

 

In addition,the study provide strong data support for decision makers in the hotel industry, help them formulate more effective human resource management policies (Bos‐Nehles et al., 2023). Encourages hotel enterprises to pay more attention to the fulfillment of social responsibility, pay attention to the physical and mental health and career development of employees, and establish a good corporate image (Aamir Hayat & Leila Afshari 2022). Reduce employee turnover and enhance team cohesion, improve the sense of professional belonging and well-being of hotel employees, which helps to improve the level of hotel service and develop the hotel industry (Yu Xin & Lu Yumei, 2022). However, limitations of the study are research scope, method of data collections (questionnaires), the implementation and monitoring of the strategy is relatively weak, time limit and research depth.Therefore, further investigations needed to enroll a wider scope (non-star hotels, hotels below three stars, more provinces and cities), adopt a mixed method included both quantitative and qualitative, strengthen the monitoring and tracking of intervention strategies, more research on other affecting factors and mechanisms of employee well-being should be done, emphasize interdisciplinary and cross-disciplinary cooperation. In conclusion, this study was pioneering in its examination of employee well-being's relevance in hotel industry.

REFERENCES
  1. Aamir Hayat & Leila Afshari (2022).CSR and employee well-being in hospitality industry: A
  2. Afshari, L. (2022). Idealized influence and commitment: A granular approach in understanding leadership. Personnel Review, 51(2), 805–822. https://doi.org/10.1108/PR-03-2020-0153
  3. Alkhodary, D. A. (2023). Exploring the Relationship between Organizational Culture and Well-Being of Educational Institutions in Jordan. Administrative Sciences, 13(3), 92. https://doi.org/10.3390/admsci13030092
  4. Anu, Sohal., Dipanker, Sharma. (2024). Work-Family Conflict.
  5. Arslanparcasi, Y. (2023). The Importance of Well-Being for Organisational Culture. 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). https://doi.org/10.54941/ahfe1003084
  6. Asghar, F., Khan, K. I., Mehmood, S., & Akram, R. (2022). Corporate social responsibility and job satisfaction: The mediating mechanism of supervisor fairness and moderating role of gratitude. International Journal of Business Environment, 1(1), 1. https://doi.org/10.1504/IJBE.2022.10047158
  7. Babic, A., Stinglhamber, F., & Hansez, I. (2019). High-Performance Work Systems and Well-Being: Mediating Role of Work-to-Family Interface. Psychologica Belgica, 59(1), 301–320. https://doi.org/10.5334/pb.473
  8. Basalamah, J., Lannai, D., H.A, I., Basalamah, M. S. A., Sani, A., & Ashoer, M. (2024). Generative Artificial Intelligence in the Hospitality Industry: Does it Matter for Employee Well-Being? 1–6. https://doi.org/10.1109/iciss62896.2024.10751586
  9. Biggadike, C., Ahumada-Tello, E., Evans, R., & Wehde, M. (2023). Cultural Hierarchies, Leadership, and Employee Happiness. IEEE Engineering Management Review, 51(3), 8–12. https://doi.org/10.1109/EMR.2023.3275188
  10. Bos‐Nehles, A., Townsend, K., Cafferkey, K., & Trullen, J. (2023). Examining the Ability, Motivation and Opportunity (AMO) framework in HRM research: Conceptualization, measurement and interactions. International Journal of Management Reviews, 25(4), 725–739. https://doi.org/10.1111/ijmr.12332
  11. Cai, R. (2024). Are robots stealing our jobs? Examining robot-phobia as a job stressor in the hospitality workplace. International Journal of Contemporary Hospitality Management, (ahead-of-print).
  12. Cizrelioğulları, M. N., & Babayiğit, M. V. (2022). Effects of High-Performance Work System on Job Satisfaction: The Mediating Role of Psychological Capital in the Hotel Employees of North Cyprus: Journal of Tourism and Services, 13(24), 43–70. https://doi.org/10.29036/jots.v13i24.284
  13. Deddy, Iskandar., Irwin, Ananta, Vidada. (2024). The Effect of Work-Life Balance and Work Environment on Employee Job Satisfaction. Golden Ratio of Data in Summary, 4(2):688-693. doi: 10.52970/grdis.v4i2.658
  14. Di, Yang., R., Rozaini. (2024). Corporate social responsibility’s impact on employee performance through employee satisfaction: evidence from guangzhou’s universities. Quantum Journal of Social Sciences and Humanities, 5(3):122-134. doi: 10.55197/qjssh.v5i3.374
  15. Divya, RB, -., Veena, Ishwarappa, Bhavikatti, -. (2024). A Study on Employee Job Satisfaction. International Journal For Multidisciplinary Research, 6(5) doi: 10.1016/b978-0-443-13701-3.00061-x. doi: 10.36948/ijfmr.2024.v06i05.29635
  16. Dorta-Afonso, D., González-de-la-Rosa, M., García-Rodríguez, F., & Romero-Domínguez, L. (2021a). Effects of High-Performance Work Systems (HPWS) on Hospitality Employees’ Outcomes through Their Organizational Commitment, Motivation, and Job Satisfaction. Sustainability, 13(6), 3226. https://doi.org/10.3390/su13063226
  17. Dorta-Afonso, D., Romero-Domínguez, L., & Benítez-Núñez, C. (2023). It’s worth it! High performance work systems for employee job satisfaction: The mediational role of burnout. International Journal of Hospitality Management, 108, 103364. https://doi.org/10.1016/j.ijhm.2022.103364
  18. Elshaer, I. A., Azazz, A. M. S., Zain, M. E. A., Fayyad, S., ElShaaer, N. I., & Mahmoud, S. W. (2025). The Dark Side of the Hospitality Industry: Workplace Bullying and Employee Well-Being with Feedback Avoidance as a Mediator and Psychological Safety as a Moderator. Healthcare, 13(3), 319. https://doi.org/10.3390/healthcare13030319
  19. El‐Sherbeeny, A. M., Alsetoohy, O., Sheikhelsouk, S., Liu, S., & Abou Kamar, M. (2024). Enhancing hotel employees’ well-being and safe behaviors: The influences of physical workload, mental workload, and psychological resilience. Oeconomia Copernicana, 15(2), 765–807. https://doi.org/10.24136/oc.3018
  20. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  21. Hayat, A., & Afshari, L. (2021a). Supportive organizational climate: A moderated mediation model of workplace bullying and employee well-being. Personnel Review, 50(7/8), 1685–1704. https://doi.org/10.1108/PR-06-2020-0407
  22. Hayat, A., & Afshari, L. (2022). CSR and employee well-being in hospitality industry: A mediation model of job satisfaction and affective commitment. Journal of Hospitality and Tourism Management, 51, 387–396. https://doi.org/10.1016/j.jhtm.2022.04.008
  23. Huselid, M. A. (1995). THE IMPACT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON TURNOVER, PRODUCTIVITY, AND CORPORATE FINANCIAL PERFORMANCE. Academy of Management Journal, 38(3), 635–672. https://doi.org/10.2307/256741
  24. Jamal Ali, B., & Anwar, G. (2021). An Empirical Study of Employees’ Motivation and its Influence Job Satisfaction. International Journal of Engineering, Business and Management, 5(2), 21–30. https://doi.org/10.22161/ijebm.5.2.3
  25. Jessica, N., Afifah, N., Daud, I., Sulistiowati, ., & Pebrianti, W. (2023). The Effect of Work Environment and Work-life Balance on Job Satisfaction: Work Stress as a Mediator. Journal of Economics, Management and Trade, 54–65. https://doi.org/10.9734/jemt/2023/v29i11074
  26. Jordan, Vincent. (2024). A study on the influence of workplace culture on employee satisfaction and retention. International Scientific Journal of Engineering and Management, 03(05):1-9. doi: 10.55041/isjem01864
  27. Kinowska, H., & Sienkiewicz, Ł. J. (2023). Influence of algorithmic management
  28. Kong, H., Yin, Z., Chon, K., Yuan, Y., & Yu, J. (2024). How does artificial intelligence (AI) enhance hospitality employee innovation? The roles of exploration, AI trust, and proactive personality. Journal of Hospitality Marketing & Management, 33(3), 261-287.
  29. Korda, B. B., & Rachmawati, R. (2022). Influence of Organizational Culture on Employee Performance Mediated by Job Satisfaction and Employee Commitment. Jurnal Organisasi Dan Manajemen, 18(2), 57–73. https://doi.org/10.33830/jom.v18i2.3706.2022
  30. Li, R. Y., Manta, O., & Alzuman, A. (2024). Balancing Wellbeing and Responsibility: CSR’s Role in Mitigating Burnout in Hospitality under UN-SDGs. Sustainability. https://doi.org/10.3390/su16083374
  31. Majeed, F., & Haq, J. (2023). Healthy employees are assets: a structural model based on individual and organizational characteristics for hotel employee well-being. Evidence-Based HRM. https://doi.org/10.1108/ebhrm-01-2023-0008
  32. mediation model of job satisfaction and affective commitment. Journal of Hospitality and Tourism Management.DOI: 10.1016/j.jhtm.2022.04.008
  33. Mingming, Xiong., Roberto, M., Arguelles. (2024). The Impact of Corporate Social Responsibility on Employee Job Satisfaction. Frontiers in business, economics and management, 16(1):174-178. doi: 10.54097/ekykhb15
  34. Mohammed, Arshad, Khan., Shahid, Husain., Syed, Mohd, Minhaj., Mohammad, Athar, Ali., Majed, A., Helmi. (2024). To explore the impact of corporate culture and leadership behaviour on work performance, mental health and job satisfaction of employees: An empirical study. Journal of infrastructure, policy and development, 8(11):6417-6417. doi: 10.24294/jipd.v8i11.6417
  35. , M, Sathiya., R, Jagajeevan., Mr., R, P, Dinesh. (2024). Corporate social responsibility in business environment. doi: 10.58532/v3bama1p2ch1
  36. Muhtar, M. H. I., & Wahyuni, S. (2023). The Mediating Role of Job Satisfaction and Organizational Commitment in Influencing Entrepreneurial Orientation, Compensation Structure, Organizational Culture on Employee Performance. European Journal of Business and Management Research, 8(3), 348–352. https://doi.org/10.24018/ejbmr.2023.8.3.1993
  37. Nugroho, S. A., Paskarini, I., & Pratiwi, X. I. (2023). Work-life balance and job satisfaction of shipyard industry employees in Surabaya. International Journal of Public Health Science (IJPHS), 12(1), 146. https://doi.org/10.11591/ijphs.v12i1.22368
  38. Nwanzu, C. L., & Babalola, S. S. (2023). The Effect of Work-Life Balance and Social Competence on the Psychological Well-Being of Public Service Employees. International Journal of Management, Entrepreneurship, Social Science and Humanities, 6(2), 56–70. https://doi.org/10.31098/ijmesh.v6i2.1287
  39. Peethambaran, M., & Naim, M. F. (2024). Unlocking employee flourishing in the hospitality industry: role of high-performance work systems, psychological capital and work passion. Journal of Hospitality and Tourism Insights. https://doi.org/10.1108/jhti-12-2023-0906
  40. Peilin, Chen. (2021). (20) Analysis of Hotel Management Data Based on Fuzzy Logic Mining. doi: 10.1007/978-3-030-79197-1_47
  41. practices on workplace well-being–evidence from European organisations. Information Technology & People, 36(8): 21–42.
  42. Savela, N., Kaakinen, M., Ellonen, N., & Oksanen, A. (2020). Sharing a work team with robots: The negative effect of robot co-workers on in-group identification with the work team. Computers in Human Behavior, 115: 106585.
  43. Septina, V. D., & Soeharto, T. N. E. D. (2023). WORK LIFE BALANCE DAN KEPUASAN KERJA DENGAN PSYCHOLOGICAL WELL-BEING PADA ANGGOTA POLISI WANITA. Jurnal Psikologi Malahayati, 5(1). https://doi.org/10.33024/jpm.v5i1.8740
  44. Gudivada, Karuna, Sri., T., K., Srikanth., Smt., T., Deepthi. (2024). An Overview on Employee Well-being and Job Satisfaction: Strategies for Organizational Success. Indian Scientific Journal Of Research In Engineering And Management, 08(07):1-11. doi: 10.55041/ijsrem36267
  45. Sun, J., Sarfraz, M., Ivascu, L., & Ozturk, I. (2023). How does organizational culture affect employees’ mental health during COVID-19? The mediating role of transparent communication. Work, 76(2), 473–488. https://doi.org/10.3233/WOR-220365
  46. Tripathi, A., & Kumar, A. (2023). Demystifying the Effect of High-Performance Work Systems on Job Involvement Based on Dual-Path Mediation Model. American Business Review, 26(1), 226–244. https://doi.org/10.37625/abr.26.1.226-244
  47. Verma et al., (2022). The impact of poor work life balance on employees health, organisation and society. International Journal of Research in Finance and Management, 5(2), 01–08. https://doi.org/10.33545/26175754.2022.v5.i2a.143
  48. Wu Dingyu & He Li.(2023).Research on the influence of corporate social responsibility on employee well-being.Hebei Enterprise.(01),56-61.https://doi.org/10.19885/j.cnki.hbqy.2023.01.024
  49. Yam, K. C., Tan, T., Jackson, J. C., Shariff, A., & Gray, K. (2023). Cultural differences in people’s reactions and applications of robots, algorithms, and artificial intelligence. Management and Organization Review, 19(5): 859–875.
  50. Yu Xin & Lu Yumei.(2022). Research on Improving Workplace well-being of high-star Hotel staff. Small and medium-sized Enterprise Management and Technology (21),68-70.
  51. Zhang Xinggui, Hu Xiandan, Su Tao. Does a high performance work system reduce employee well-being? Evidence from meta-analysis [J]. Advances in Psychological Science, 2019,31(11):2005-2024. (in Chinese)
Recommended Articles
Original Article
Non-Performing Assets And Bank Liquidity: A Study Of Indian Commercial Banks
Research Article
Importance of Spirituality in Human lives – A Modern-Day Approach
...
Published: 25/11/2025
Research Article
Examining the Impact of Gold Standard Project-Based Learning Implementation and Professional Learning Communities on Teacher Knowledge Growth: the Mediating Role of School Support in Chinese Schools
...
Published: 25/11/2025
Research Article
Human Rights Violation and Legal Protections of Elderly Person’s Rights: A Global Prospective
Published: 25/11/2025
Loading Image...
Volume 2, Issue:5
Citations
31 Views
18 Downloads
Share this article
© Copyright Advances in Consumer Research