| Literature DB >> 28769854 |
Antonio Ariza-Montes1,2, Gabriele Giorgi3, Antonio Leal-Rodríguez1, Jesús Ramírez-Sobrino1.
Abstract
Although authenticity has a long history as a philosophical and psychological idea, this concept has received scarce attention in the business literature until very lately. Nevertheless, scholars belonging to a broad array of disciplines have pointed out the escalation in the individuals' search for authenticity within developed societies. Hence, the purpose of this paper is to assess the link between authenticity and subjective wellbeing within the rarely explored context of faith-driven organizations, where the management of emotions attains a particular significance. Specifically, this study links authenticity with subjective wellbeing among the distinct groups that shape a large international Catholic organization. This study uses Partial Least Squares (PLS) to test our research model and hypotheses. This paper covers two noteworthy research gaps. On the one hand, it provides evidence of the relationship between authenticity and subjective wellbeing within the context of religious organizations. On the other hand, our results suggest that this relationship is not homogeneous among the distinct groups that shape the organization. Implications of the research are finally discussed.Entities:
Keywords: authenticity; partial least squares; religious organizations; subjective wellbeing
Year: 2017 PMID: 28769854 PMCID: PMC5516145 DOI: 10.3389/fpsyg.2017.01228
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Descriptive statistics, Cronbach’s alpha and inter-correlations for the study variables.
| Variable | Mean | Cronbach’s alpha | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|---|---|
| 1. IAM | 3.97 | 0.656 | 0.793 | 1 | |||
| 2. SWLS | 3.92 | 0.796 | 0.874 | 0.216∗∗∗ | 1 | ||
| 3. SPANE | 2.18 | 1.199 | 0.900 | 0.285∗∗∗ | 0.473∗∗∗ | 1 | |
| 4. FS | 4.44 | 0.712 | 0.906 | 0.369∗∗∗ | 0.449∗∗∗ | 0.353∗∗∗ | 1 |
Measurement Model 1.
| Outer loadings | Construct reliability and validity | |||||||
|---|---|---|---|---|---|---|---|---|
| AU | SW | Cronbach’s alpha | rho_A (Dijkstra-Henseler’s indicator) | Composite reliability | AVE (average variance extracted) | |||
| EIA | 0.629 | AU | 0.781 | 0.743 | 0.702 | 0.565 | ||
| AL | 0.853 | SW | 0.738 | 0.729 | 0.812 | 0.592 | ||
| SA | 0.607 | |||||||
| LS | 0.813 | |||||||
| PF | 0.764 | AU | SW | AU | SW | |||
| NF | –0.587 | AU | AU | |||||
| FL | 0.761 | SW | 0.511 | 0.769 | SW | 0.691 | ||
Measurement Model 2.
| Outer loadings | Construct reliability and validity | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| EIA | AL | SA | SW | Cronbach’s alpha | rho_A (Dijkstra-Henseler’s indicator) | Composite reliability | AVE (average variance extracted) | ||||
| V1 | 0.666 | EIA | 0.777 | 0.789 | 0.899 | 0.817 | |||||
| V2 | 0.903 | AL | 0.783 | 0.788 | 0.874 | 0.699 | |||||
| V3 | 0.886 | SA | 0.835 | 0.87 | 0.901 | 0.752 | |||||
| V4 | 0.633 | SW | 0.772 | 0.735 | 0.81 | 0.589 | |||||
| V5 | 0.858 | ||||||||||
| V6 | 0.543 | EIA | AL | SA | SW | ||||||
| V7 | 0.838 | EIA | 0.904 | ||||||||
| V8 | 0.771 | AL | 0.202 | 0.836 | |||||||
| V9 | 0.426 | SA | 0.445 | 0.241 | 0.867 | ||||||
| V10 | 0.803 | SW | 0.21 | 0.64 | 0.229 | 0.767 | |||||
| V11 | 0.905 | ||||||||||
| V12 | 0.893 | EIA | AL | SA | SW | ||||||
| LS | 0.809 | EIA | |||||||||
| PF | 0.764 | AL | |||||||||
| NF | –0.519 | SA | 0.542 | ||||||||
| FL | 0.772 | SW | 0.301 | 0.814 | |||||||
Structural Models.
| Relationship | Model 1 R2SWB = 0.338 | Model 2A | Model 2B | Model 2C | Model 2D | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Path coefficient (t-statistic) | Path coefficient (t-statistic) | Path coefficient (t-statistic) | Path coefficient (t-statistic) | Path coefficient (t-statistic) | ||||||
| AU→SWB | 0.582∗∗∗ (20.106) [0.530; 0.625] | 0.000 | ||||||||
| AEI→SWB | 0.077∗ (1.728) [0.013; 0.132] | 0.052 | –0.128ns (0.774) [-0.323; 0.168] | 0.168 | 0.051ns (1.335) [-0.022; 0.105] | 0.091 | –0.304ns (0.993) [-0.709; 0.063] | 0.160 | ||
| AL→SWB | 0.577∗∗∗ (14.898) [0.507; 0.634] | 0.000 | 0.499∗∗∗ (5.951) [0.345; 0.616] | 0.616 | 0.583∗∗∗ (12.079) [0.492; 0.650] | 0.000 | 0.488∗∗∗ (3.769) [0.220; 0.653] | 0.000 | ||
| SA→SWB | 0.073∗ (2.196) [0.017; 0.127] | 0.014 | 0.012ns (0.157) [-0.108; 0.145] | 0.145 | 0.123∗∗ (2.917) [0.054; 0.194] | 0.002 | 0.053ns (0.374) [-0.077; 0.4331] | 0.354 | ||