Hotels’ Eco-Friendly Physical Environment as Nature-Based Solutions for Decreasing Burnout and Increasing Job Satisfaction and Performance
Abstract
:1. Introduction
2. Review of the Literature
2.1. Nature-Based Solutions
2.2. Mental Health Benefits and Nature
2.3. Stress Recovery Theory
2.4. Green Environments of Hotels
2.5. Burnout
2.6. Job Satisfaction and Job Performance
2.7. Impact of Green Enviroments of Hotels on Burnout
2.8. Impact of Burnout on Job Satisfaction and Job Performance
2.9. Gender Difference
2.10. Proposed Model
3. Methods
3.1. Measurement and Questionnaire Development
3.2. Data Collection and Sample Profile
4. Results
4.1. Confirmatory Factor Analysis
4.2. Structural Model Results and Hypotheses Testing
4.3. Moderating Impact Assessment
5. Discussion and Implication
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
Appendix A
Green Environments of Hotels |
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Burnout |
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Job Satisfaction |
|
Job Performance |
|
References
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Variables | (a) | (b) | (c) | (d) | (e) | (f) | (g) | AVE | CR |
---|---|---|---|---|---|---|---|---|---|
(a) SDGP | 1.000 | – | – | – | – | – | – | 0.704 | 0.905 |
(b) ENE | 0.573 a (0.328) b | 1.000 | – | – | – | – | – | 0.642 | 0.877 |
(c) EE | −0.303 (0.091) | −0.232 (0.053) | 1.000 | – | – | – | – | 0.777 | 0.949 |
(d) RPA | −0.413 (0.170) | −0.507 (0.257) | 0.393 (0.154) | 1.000 | – | – | – | 0.832 | 0.963 |
(e) DEP | −0.373 (0.139) | −0.433 (0.187) | 0.483 (0.233) | 0.756 (0.571) | 1.000 | – | – | 0.749 | 0.940 |
(f) JS | 0.399 (0.159) | 0.280 (0.078) | −0.511 (0.261) | −0.365 (0.133) | −0.418 (0.174) | 1.000 | – | 0.778 | 0.949 |
(g) JP | 0.248 (0.061) | 0.370 (0.136) | −0.245 (0.060) | −0.386 (0.148) | −0.366 (0.133) | 0.335 (0.112) | 1.000 | 0.842 | 0.966 |
Mean | 5.381 | 5.373 | 3.698 | 2.208 | 2.623 | 4.609 | 5.796 | ||
SD | 1.542 | 1.306 | 2.045 | 1.590 | 1.778 | 2.607 | 1.414 |
Proposed Paths | β | t-Values | |||
---|---|---|---|---|---|
H1 | SDGP | → | EE | −0.268 | −3.749 ** |
H2 | SDGP | → | RPA | −0.160 | −2.527 ** |
H3 | SDGP | → | DEP | −0.187 | −2.823 ** |
H4 | ENE | → | EE | −0.068 | −0.945 |
H5 | ENE | → | RPA | −0.445 | −6.615 ** |
H6 | ENE | → | DEP | −0.344 | −4.998 ** |
H7 | EE | → | JS | −0.421 | −8.218 ** |
H8 | RPA | → | JS | −0.079 | −1.495 |
H9 | DEP | → | JS | −0.178 | −3.390 ** |
H10 | JS | → | JP | 0.326 | 5.925 ** |
Total impact on JP β SDGP = 0.052 ** β ENE = 0.041 * β EE = −0.137 ** β RPA = −0.026 β DEP = −0.058 β JS = 0.326 ** | Total variance explained (R2): R2 for EE = 0.098 R2 for RPA = 0.309 R2 for DEP = 0.231 R2 for JS = 0.253 R2 for JP = 0.106 Goodness-of-fit statistics for the structural model: χ2 = 963.900, df = 339, p < 0.001, χ2/df = 2.764, RMSEA = 0.076, CFI = 0.959, IFI = 0.959, and TLI = 0.955 | Indirect impact: β SDGP − EE/RPA/DEP − JS = 0.159 ** β ENE − EE/RPA/DEP − JS = 0.125 ** β SDGP − EE/RPA/DEP − JS = 0.052 * β ENE − EE/RPA/DEP − JS = 0.041 * * p < 0.05 and ** p < 0.01 |
Paths | Male (n = 160) | Male (n = 160) | Baseline Model | Nested Model | ||
---|---|---|---|---|---|---|
β | t-Value | β | t-Value | (Freely Estimated) | (Constrained to be Equal) | |
H1a: SDGP → EE | −0.241 | −2.716 ** | −0.299 | −2.533 ** | χ2 (699) = 1564.184 | χ2 (700) = 1564.320 a |
H1b: SDGP → RPA | −0.188 | −2.356 * | −0.094 | −0.899 | χ2 (699) = 1564.184 | χ2 (700) = 1564.672 b |
H1c: SDGP → DEP | −0.178 | −2.102 * | −0.200 | −1.831 | χ2 (699) = 1564.184 | χ2 (700) = 1564.232 c |
H1d: ENE → EE | −0.005 | −0.061 | −0.084 | −0.703 | χ2 (699) = 1564.184 | χ2 (700) = 1564.415 d |
H1e: ENE → RPA | −0.393 | −4.773 ** | −0.510 | −4.683 ** | χ2 (699) = 1564.184 | χ2 (700) = 1564.318 e |
H1f: ENE → DEP | −0.281 | −3.175 ** | −0.362 | −3.258 ** | χ2 (699) = 1564.184 | χ2 (700) = 1564.328 f |
H1g: EE → JS | −0.421 | −6.172 ** | −0.410 | −5.375 ** | χ2 (699) = 1564.184 | χ2 (700) = 1564.185 g |
H1h: RPA → JS | −0.034 | −0.488 | −0.133 | −1.680 | χ2 (699) = 1564.184 | χ2 (700) = 1564.599 h |
H1i: DEP → JS | −0.302 | −4.367 ** | −0.035 | −0.439 | χ2 (699) = 1564.184 | χ2 (700) = 1567.072 i |
H1j: JS → JP | 0.381 | 5.095 ** | 0.253 | 3.137 ** | χ2 (699) = 1564.184 | χ2 (700) = 1564.763 j |
Chi-square test: a Δχ2 (1) = 0.136, p > 0.05 b Δχ2 (1) = 0.488, p > 0.05 c Δχ2 (1) = 0.048, p > 0.05 d Δχ2 (1) = 0.231, p > 0.05 e Δχ2 (1) = 0.134, p > 0.05 f Δχ2 (1) = 0.144, p > 0.05 g Δχ2 (1) = 0.001, p > 0.05 h Δχ2 (1) = 0.415, p > 0.05 i Δχ2 (1) = 2.888, p > 0.05 j Δχ2 (1) = 0.579, p > 0.05 | Hypotheses testing: H11a: Not supported H11b: Not supported H11c: Not supported H11d: Not supported H11e: Not supported H11f: Not supported H11g: Not supported H11h: Not supported H11i: Not supported H11j: Not supported | Goodness-of-fit statistics for the baseline model: χ2 = 1564.184, df = 699 p < 0.01, χ2/df = 2.238, RMSEA = 0.063, CFI = 0.942, NFI = 0.901, TLI = 0.938 * p < 0.05, ** p < 0.01 |
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Yu, J.; Ariza-Montes, A.; Hernández-Perlines, F.; Vega-Muñoz, A.; Han, H. Hotels’ Eco-Friendly Physical Environment as Nature-Based Solutions for Decreasing Burnout and Increasing Job Satisfaction and Performance. Int. J. Environ. Res. Public Health 2020, 17, 6357. https://doi.org/10.3390/ijerph17176357
Yu J, Ariza-Montes A, Hernández-Perlines F, Vega-Muñoz A, Han H. Hotels’ Eco-Friendly Physical Environment as Nature-Based Solutions for Decreasing Burnout and Increasing Job Satisfaction and Performance. International Journal of Environmental Research and Public Health. 2020; 17(17):6357. https://doi.org/10.3390/ijerph17176357
Chicago/Turabian StyleYu, Jongsik, Antonio Ariza-Montes, Felipe Hernández-Perlines, Alejandro Vega-Muñoz, and Heesup Han. 2020. "Hotels’ Eco-Friendly Physical Environment as Nature-Based Solutions for Decreasing Burnout and Increasing Job Satisfaction and Performance" International Journal of Environmental Research and Public Health 17, no. 17: 6357. https://doi.org/10.3390/ijerph17176357