| Literature DB >> 33114306 |
JaeWon Shin1, HyoungChul Shin2.
Abstract
This study explored the relationship between job insecurity of employees and workaholism or work-family conflict in the hotel industry in Korea. To do this, four hypotheses were proposed. First, that job insecurity will have positive effects on workaholism. Second, that workaholism will have positive effects on work-family conflict. Third, that job insecurity will have positive effects on work-family conflict. Fourth, that through the mediation of workaholism, job insecurity will have positive effects on work-family conflict. Further, eligible respondents (n = 331; 217 male and 112 female) were recruited from four-star hotels or above located in Seoul, Incheon, and Gyeonggi Province and then evaluated for a self-administered questionnaire survey. Results showed that job insecurity had significant positive effects on workaholism, and workaholism had significant positive effects on work-family conflict and mediated the interaction between job insecurity and work-family conflict. Thus, it can be concluded that hotels should improve working conditions and propose solutions, such as the moderation of workload, for preventing their workers from workaholism. In particular, hotel business managers should minimize worker's job-insecurity-induced compulsive drive to work by devising strategies for minimizing their worker's workloads. They should also enable workers to perform their jobs autonomously.Entities:
Keywords: hotel industry; human resource management; job insecurity; workaholism; work–family conflict
Mesh:
Year: 2020 PMID: 33114306 PMCID: PMC7660603 DOI: 10.3390/ijerph17217783
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Study model.
Demographic factors of the participants.
| Demographic Factors | Category | Number of Participants | Percentage (%) |
|---|---|---|---|
| Gender | Male | 217 | 65.6 |
| Female | 114 | 34.4 | |
| Age | 20s | 143 | 43.2 |
| 30s | 125 | 37.8 | |
| 40s | 55 | 16.6 | |
| 50s and older | 8 | 2.4 | |
| Education | High school diploma or less | 23 | 6.9 |
| Associate degree | 193 | 58.3 | |
| Bachelor’s degree (4-year university) | 91 | 27.5 | |
| Graduate degree or higher | 24 | 7.3 | |
| Experience | Less than 5 years | 150 | 45.3 |
| Between 6 and 10 years | 79 | 23.9 | |
| Between 11 and 16 years | 50 | 15.1 | |
| Between 15 and 20 years | 41 | 12.4 | |
| 20 years or more | 11 | 3.3 | |
| Department | Rooms division | 75 | 22.7 |
| Sales and marketing | 40 | 12.1 | |
| Finance | 31 | 9.4 | |
| Engineering | 21 | 6.3 | |
| Executive office | 53 | 16.0 | |
| Food and beverage | 88 | 26.6 | |
| Human resources | 19 | 5.7 | |
| Security | 4 | 1.2 | |
| Total | 331 | 100 |
Confirmatory factor analysis.
| Factor and Variable | Standardized Loading | S.E | C.R | AVE | Composite Construct Reliability(CCR) | Cronbach’s α | |
|---|---|---|---|---|---|---|---|
| Job insecurity | JI1 | 0.704 | - | - | 0.666 | 0.909 | 0.847 |
| JI2 | 0.724 | 0.099 | 11.661 | ||||
| JI3 | 0.732 | 0.094 | 11.776 | ||||
| JI4 | 0.712 | 0.102 | 11.495 | ||||
| JI5 | 0.756 | 0.097 | 12.097 | ||||
| Workaholism | Work commitment | 0.582 | - | - | 0.617 | 0.763 | 0.826 |
| Pressure | 0.616 | 0.123 | 7.616 | ||||
| Work–family conflict | W-FC1 | 0.682 | - | - | 0.607 | 0.902 | 0.832 |
| W-FC2 | 0.719 | 0.098 | 11.231 | ||||
| W-FC3 | 0.608 | 0.092 | 9.712 | ||||
| W-FC4 | 0.672 | 0.086 | 10.602 | ||||
| W-FC5 | 0.702 | 0.092 | 11.000 | ||||
| W-FC6 | 0.666 | 0.101 | 10.514 | ||||
χ2 = 154.187 (df = 62, p = 0.000), CMIN/DF = 2.487, RMR = 0.021, GFI = 0.933, AGFI = 0.901, NFI = 0.905, IFI = 0.941, TLI = 0.925, CFI = 0.940, RMSEA = 0.067.
Discriminant validity of the variables.
| Factor | Job Insecurity | Workaholism | Work-Family Conflict |
|---|---|---|---|
| Job insecurity |
| 0.144 3 | 0.161 |
| Workaholism | 0.380 **,2 |
| 0.306 |
| Work–family conflict | 0.402 ** | 0.554 ** |
|
| Mean | 3.80 | 3.80 | 3.88 |
| S.D. | 0.589 | 0.485 | 0.544 |
** p < 0.01; 1 Diagonal: Average Variance Extracted (AVE); 2 Area below diagonal: The correlation coefficient for the constructs (r); 3 Area above diagonal: The square of the correlation coefficient (r2).
Results of structural equation model analysis.
| Process (Hypothesis) | Beta | Indirect Effect | Decision | ||||
|---|---|---|---|---|---|---|---|
| Coefficient |
| ||||||
| H1 | Job insecurity → Workaholism | 0.560 | 6.087 *** | 0.000 | Accepted | ||
| H2 | Workaholism → Work–family conflict | 0.822 | 4.970 *** | 0.000 | Accepted | ||
| H3 | Job insecurity → Work–family conflict | 0.013 | 0.119 | 0.905 | Rejected | ||
| H4 | Job insecurity → Work–family conflict (the mediating effect of workaholism) | 0.013 | 0.119 | 0.905 | 0.460 ** | 0.004 | Accepted |
** p < 0.01; *** p < 0.001; χ2 = 154.187 (df = 62, p = 0.000), CMIN/DF = 2.487, RMR = 0.021, GFI = 0.933, AGFI = 0.901, NFI = 0.905, IFI = 0.941, TLI = 0.925, CFI = 0.940, RMSEA = 0.067.
Figure 2Structural equation model with parameter estimates. *** p < 0.001. Nonsignificant paths are shown in dotted lines.