| Literature DB >> 35572254 |
Naveed Ahmad1,2, Zia Ullah3, Esra AlDhaen4, Heesup Han5, Antonio Ariza-Montes6, Alejandro Vega-Muñoz7.
Abstract
Considering the stiff competitiveness situation in every sector, promoting the advocacy behavior of employees is of seminal importance for an organization. With this regard, the hospitality sector has no exceptions, however, a review of the prior literature uncovers that most of the prior studies on advocacy behavior were conducted from the standpoint of consumers, and the role of employees' advocacy behavior, especially in the context of the hospitality sector, remained an understudied area. Research also shows that the corporate social responsibility (CSR) efforts of an organization can significantly influence employees' behavior but the relationship of CSR to spur employees' advocacy behavior was not discussed earlier. Against this knowledge gap, the current work aims to investigate the relationship between CSR and employees' advocacy behavior in the hotel sector of a developing economy with the mediating effect of employees' engagement. A hypothesized model was developed, which was validated by collecting data from different hotel employees through a self-administered questionnaire. The findings offer different theoretical and practical implications. Theoretically, one important implication was that the CSR perceptions of hotel employees can drive their advocacy behavior. Practically, the study implicates that hotels can improve their reputation significantly by converting their employees into advocates, as the personal information source is preferred over company-generated information sources. Moreover, the CSR commitment of a hotel can lead the employees to a higher level of engagement, which then motivates them to act as advocates.Entities:
Keywords: advocacy behavior; corporate social responsibility; engagement; hotel sector; sustainability
Year: 2022 PMID: 35572254 PMCID: PMC9093048 DOI: 10.3389/fpsyg.2022.865021
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Demographic detail.
| Demographic | Frequency | Percentage |
|---|---|---|
|
| ||
| Male | 247 | 67.67 |
| Female | 142 | 32.33 |
|
| ||
| 18–25 | 67 | 17.42 |
| 26–30 | 86 | 24.49 |
| 31–35 | 98 | 29.80 |
| 36–40 | 82 | 16.67 |
| Above 40 | 56 | 11.62 |
|
| ||
| 1–3 | 81 | 19.44 |
| 4–6 | 142 | 38.38 |
| 7–9 | 94 | 25.01 |
| Above 10 | 72 | 17.17 |
|
| ||
| Manager/supervisor | 103 | 24.50 |
| Non-manager | 286 | 75.50 |
Results of single-factor analysis.
| Factor | Initial Eigenvalues | Extraction sums of squared loadings | ||||
|---|---|---|---|---|---|---|
| Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
| 1 | 10.595 | 44.145 | 44.145 | 10.173 | 42.387 | 42.387 |
| 2 | 1.890 | 7.875 | 52.020 | |||
| 3 | 1.673 | 6.970 | 58.990 | |||
| 4 | 1.384 | 5.767 | 64.757 | |||
| 5 | 1.271 | 5.294 | 70.051 | |||
| 6 | 1.185 | 4.937 | 74.988 | |||
| 7 | 0.983 | 4.097 | 79.085 | |||
| 8 | 0.774 | 3.224 | 82.309 | |||
| 9 | 0.667 | 2.778 | 85.087 | |||
| 10 | 0.585 | 2.439 | 87.526 | |||
| 11 | 0.499 | 2.080 | 89.606 | |||
| 12 | 0.427 | 1.778 | 91.384 | |||
| 13 | 0.390 | 1.624 | 93.009 | |||
| 14 | 0.298 | 1.242 | 94.250 | |||
| 15 | 0.280 | 1.168 | 95.419 | |||
| 16 | 0.237 | 0.987 | 96.406 | |||
| 17 | 0.175 | 0.728 | 97.134 | |||
| 18 | 0.160 | 0.667 | 97.801 | |||
| 19 | 0.147 | 0.614 | 98.415 | |||
| 20 | 0.105 | 0.437 | 98.852 | |||
| 21 | 0.094 | 0.390 | 99.242 | |||
| 22 | 0.086 | 0.358 | 99.600 | |||
| 23 | 0.069 | 0.288 | 99.888 | |||
| 24 | 0.027 | 0.112 | 100.000 | |||
Factoring method = Principal Axis Factoring.
Common latent factor (CLF) results.
| Item | Actual model | CLF model | Difference |
|---|---|---|---|
| CSR1←CSR | 0.823 | 0.842 | 0.019 |
| CSR2←CSR | 0.817 | 0.829 | 0.012 |
| CSR3←CSR | 0.792 | 0.813 | 0.021 |
| CSR4←CSR | 0.733 | 0.762 | 0.029 |
| CSR5←CSR | 0.764 | 0.769 | 0.005 |
| CSR6←CSR | 0.729 | 0.741 | 0.012 |
| ECP1←CSR | 0.832 | 0.856 | 0.024 |
| ECP2←CSR | 0.811 | 0.822 | 0.011 |
| ECP3←CSR | 0.873 | 0.898 | 0.025 |
| ECP4←CSR | 0.914 | 0.916 | 0.002 |
| ECP5←CSR | 0.719 | 0.743 | 0.024 |
| ECP6←CSR | 0.728 | 0.751 | 0.023 |
| E.E1←E.E | 0.733 | 0.739 | 0.006 |
| E.E2←E.E | 0.749 | 0.758 | 0.009 |
| E.E3←E.E | 0.716 | 0.722 | 0.006 |
| E.E4←E.E | 0.893 | 0.898 | 0.005 |
| E.E5←E.E | 0.836 | 0.855 | 0.019 |
| E.E6←E.E | 0.712 | 0.741 | 0.029 |
| E.E7←E.E | 0.738 | 0.745 | 0.007 |
| E.E8←E.E | 0.846 | 0.862 | 0.016 |
| E.E9←E.E | 0.881 | 0.899 | 0.018 |
| ADB1←ADB | 0.868 | 0.872 | 0.004 |
| ADB2←ADB | 0.722 | 0.753 | 0.031 |
| ADB3←ADB | 0.844 | 0.856 | 0.012 |
Outputs of construct evaluation.
| Construct | Λ |
| E-variance | ∑ | Items | AVE | CR |
|---|---|---|---|---|---|---|---|
| CSR | 0.823 | 0.677 | 0.323 | ||||
| 0.817 | 0.667 | 0.333 | |||||
| 0.792 | 0.627 | 0.373 | |||||
| 0.733 | 0.537 | 0.463 | |||||
| 0.764 | 0.584 | 0.416 | |||||
| 0.729 | 0.531 | 0.469 | |||||
| 0.832 | 0.692 | 0.308 | |||||
| 0.811 | 0.658 | 0.342 | |||||
| 0.873 | 0.762 | 0.238 | |||||
| 0.914 | 0.835 | 0.165 | |||||
| 0.719 | 0.517 | 0.483 | |||||
| 0.728 | 0.530 | 0.470 | 7.619 | 12 | 0.635 | 0.954 | |
| Engagement | 0.733 | 0.537 | 0.463 | ||||
| 0.749 | 0.561 | 0.439 | |||||
| 0.716 | 0.513 | 0.487 | |||||
| 0.893 | 0.797 | 0.203 | |||||
| 0.836 | 0.699 | 0.301 | |||||
| 0.712 | 0.507 | 0.493 | |||||
| 0.738 | 0.545 | 0.455 | |||||
| 0.846 | 0.716 | 0.284 | |||||
| 0.881 | 0.776 | 0.224 | 5.651 | 9 | 0.628 | 0.938 | |
| Advocacy behavior | 0.868 | 0.753 | 0.247 | ||||
| 0.722 | 0.521 | 0.479 | |||||
| 0.844 | 0.712 | 0.288 | 1.987 | 3 | 0.662 | 0.854 |
.
Correlations and discriminant validity.
| Construct | CSR | E.E | ADB | Mean | SD |
|---|---|---|---|---|---|
| CSR |
| 0.339 | 0.523 | 3.06 | 0.66 |
| E.E |
| 0.413 | 2.89 | 0.74 | |
| ADB |
| 2.96 | 0.69 |
SD, standard deviation.
= significant values of correlation, bold diagonal = discriminant validity values.
Model fit comparison hypothesized vs. alternate models.
| Model-1 | Model-2 | Model-3 | |
|---|---|---|---|
| 1142.063 (847) | 1723.866 (562) | 1488.729 (719) | |
| 1.348 | 3.525 | 2.070 | |
| NFI | 0.961 | 0.838 | 0.892 |
| CFI | 0.969 | 0.874 | 0.919 |
| RMSEA | 0.0342 | 0.063 | 0.055 |
Outputs of direct effect model.
| Path | Relation | Estimates | SE | CR | CI-range | Decision | |
|---|---|---|---|---|---|---|---|
| CSR→ADB (H1) | + | (β1) 0.542 | 0.039 | 13.897 | *** | 0.261 – 0.249 | Accepted |
| E.E→ADB (H2) | + | (β2) 0.428 | 0.052 | 8.231 | *** | 0.239 – 0.218 | Accepted |
| CSR→E.E (H3) | + | (β3) 0.367 | 0.058 | 6.327 | *** | 0.176 – 0.163 | Accepted |
CI, confidence interval.
= significant values, SE = standard error, and + = positive relationship;
*** = significant values, SE = standard error, and + = positive relationship.
Mediation analysis.
| Path | Relation | Estimates | SE | Z-score | CI-range | Decision | |
|---|---|---|---|---|---|---|---|
| CSR→E.E→ADB (H4) | + | (β4) 0.157 | 0.028 | 5.607 | *** | 0.093 – 0.087 | Accepted |
CI, confidence interval.
= significant values, SE = standard error, and + = positive relationship;
*** = significant values, SE = standard error, and + = positive relationship.