| Literature DB >> 35886142 |
Sajid Rahman Khattak1, Muhammad Zada2, Muhammad Nouman1, Shams Ur Rahman1, Muhammad Fayaz1, Rezwan Ullah3, Guido Salazar-Sepúlveda4, Alejandro Vega-Muñoz5, Nicolás Contreras-Barraza6.
Abstract
This study aims to empirically examine the mediating effects of psychological safety and leadership identification on the relationship between inclusive leadership and pro-social rule breaking among hospitality employees. This study analyzes the survey data collected in three waves from 589 employees working in different hotels and restaurants operating in the Northern areas of Khyber Pakhtunkhwa, Pakistan. The scale validity, composite reliability, and hypotheses were assessed through PLS-SEM. The study found that inclusive leadership significantly impacts employees' pro-social rule-breaking. The study also found that leadership identification and psychological safety partially mediate the relationship between inclusive leadership and pro-social rule-breaking. Hospitality leaders can practice inclusive leadership characteristics because it may significantly enhance employee engagement in pro-social rule-breaking. Through their inclusive features, hospitality leaders can improve employees' psychological safety and leadership identification, enhancing frontline employees' pro-social rule-breaking.Entities:
Keywords: hospitality industry; inclusive leadership; leadership identification; pro-social rule breaking; psychological safety
Mesh:
Year: 2022 PMID: 35886142 PMCID: PMC9322910 DOI: 10.3390/ijerph19148291
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Conceptual Framework of the Present Research.
Figure 2Measurement Model.
Factor Loading, Alpha, CR, and AVE.
| Factor | A | Alpha | CR | AVE |
|---|---|---|---|---|
| Inclusive Leadership | 0.95 | 0.96 | 0.74 | |
| INCL1 | 0.873 | |||
| INCL2 | 0.882 | |||
| INCL3 | 0.899 | |||
| INCL4 | 0.890 | |||
| INCL5 | 0.819 | |||
| INCL6 | 0.841 | |||
| INCL7 | 0.843 | |||
| INCL8 | 0.807 | |||
| INCL9 | 0.855 | |||
| Psychological Safety | 0.91 | 0.93 | 0.75 | |
| PsySaf1 | 0.915 | |||
| Psysaf2 | 0.802 | |||
| PsySaf3 | 0.904 | |||
| PsySaf4 | 0.905 | |||
| PsySaf5 | 0.805 | |||
| Leadership Identification | 0.92 | 0.93 | 0.72 | |
| LI1 | 0.903 | |||
| LI2 | 0.731 | |||
| LI3 | 0.859 | |||
| LI4 | 0.863 | |||
| LI5 | 0.821 | |||
| LI6 | 0.902 | |||
| Pro-social Rule Breaking | 0.96 | 0.96 | 0.68 | |
| PSRB1 | 0.847 | |||
| PSRB2 | 0.688 | |||
| PSRB3 | 0.875 | |||
| PSRB4 | 0.889 | |||
| PSRB5 | 0.754 | |||
| PSRB6 | 0.850 | |||
| PSRB7 | 0.839 | |||
| PSRB8 | 0.808 | |||
| PSRB9 | 0.870 | |||
| PSRB10 | 0.850 | |||
| PSRB11 | 0.857 | |||
| PSRB12 | 0.810 | |||
| PSRB13 | 0.830 |
Fornell-Larcker Criteria.
| INCL | LI | PSRB | PsySaf | |
|---|---|---|---|---|
| INCL | 0.860 | |||
| LI | 0.812 | 0.849 | ||
| PSRB | 0.824 | 0.823 | 0.830 | |
| PsySaf | 0.847 | 0.749 | 0.730 | 0.868 |
HTMT Criteria.
| INCL | LI | PSRB | PsySaf | |
|---|---|---|---|---|
| INCL | ||||
| LI | 0.812 | |||
| PSRB | 0.824 | 0.823 | ||
| PsySaf | 0.847 | 0.749 | 0.730 |
Figure 3Structural Model.
Path Coefficients.
| Original Sample (O) | (STDEV) | T Statistics | 2.50% | 97.50% | ||
|---|---|---|---|---|---|---|
| INCL → PSRB | 0.502 | 0.053 | 9.487 | 0.000 | 0.396 | 0.594 |
| INCL → PsySaf | 0.874 | 0.013 | 69.758 | 0.000 | 0.847 | 0.895 |
| PsySaf → PSRB | 0.151 | 0.035 | 4.314 | 0.000 | 0.081 | 0.218 |
| INCL → LI | 0.912 | 0.01 | 89.529 | 0.000 | 0.890 | 0.929 |
| LI → PSRB | 0.341 | 0.05 | 6.845 | 0.000 | 0.244 | 0.431 |
|
|
| |||||
| LI | 0.832 | 0.595 | ||||
| PSRB | 0.931 | 0.634 | ||||
| PsySaf | 0.765 | 0.570 |
Mediating Effects.
| Total Effect | t | Sig | Direct Effect | t | Sig | Indirect Effect | Effect | t | Sig | |
|---|---|---|---|---|---|---|---|---|---|---|
| INCL-PSRB | 0.944 | 171.49 | 0.000 | 0.502 | 9.48 | 0.000 | INCL-PsySaf-PSRB | 0.132 | 4.23 | 0.000 |
| INCL-LI-PSRB | 0.310 | 6.80 | 0.000 |