| Literature DB >> 35136427 |
Tiziana Ramaci1, Palmira Faraci1, Giuseppe Santisi2, Giusy Danila Valenti1.
Abstract
This study is aimed to assess the effect of both employability and personal resources, in terms of pro-activity and self-efficacy, on the relationship between job insecurity and psycho-social distress. Using survey data from 211 participants, among employed, unemployed and workers in transition, we analyzed the incidence of employability, pro-activity and self-efficacy on psycho-social distress. Our results showed that the above-mentioned variables significantly differed by participants' gender and age. The structural theoretical model proposed to assess the significance of the hypothesized paths exhibited good fit with the data. Thus, all our hypotheses were supported. Findings are in line with previous research, and practical implications may give significant effects when applied in new labor policies undertaken by local governments.Entities:
Keywords: employability; organizations; personal resources; psycho-social distress
Year: 2021 PMID: 35136427 PMCID: PMC8768474 DOI: 10.5964/ejop.1904
Source DB: PubMed Journal: Eur J Psychol ISSN: 1841-0413
Figure 1Graphic Chart of Employability Conditions (Rothwell & Arnold, 2007)
Figure 2Proposed Theoretical Model
Sample Characteristics (N = 211)
| Variable | Results | |
|---|---|---|
|
| % | |
| Gender | ||
| Male | 121 | 57.3 |
| Female | 90 | 42.7 |
| Age | ||
| < 30 | 39 | 18.9 |
| 30–39 | 75 | 36.4 |
| 40–50 | 42 | 20.4 |
| > 50 | 50 | 24.3 |
| Schooling | ||
| Primary school | 11 | 5.2 |
| Secondary school | 38 | 18.0 |
| High school | 130 | 61.6 |
| Graduate | 32 | 15.2 |
| Work condition | ||
| Jobless | 101 | 47.9 |
| Employed | 88 | 41.7 |
| Currently unemployed | 22 | 10.4 |
| Job position in progress or in the past | ||
| Manager | 14 | 6.7 |
| Employee | 71 | 33.6 |
| Workman | 67 | 31.7 |
| Consultant | 34 | 16.2 |
| Unresponsive | 25 | 11.8 |
Scores Obtained From Scales
| Variable | EPS | PROACT | SE | GHQ-12 | JIS |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 1.85 ± 0.94 | 3.55 ± 0.91 | 3.01 ± 0.75 | 2.19 ± 0.67 | 4.13 ± 3.14 |
| Female | 1.65 ± 0.72 | 3.44 ± 0.87 | 3.11 ± 0.72 | 2.38 ± 0.67a | 2.84 ± 2.71a |
| Age | |||||
| ≤ 30 | 2.03 ± 0.71a | 3.72 ± 0.55a | 3.08 ± 0.57 | 2.28 ± 0.56 | 3.16 ± 2.90 |
| 30–39 | 1.96 ± 0.81a | 3.78 ± 0.76a | 3.13 ± 0.70 | 2.23 ± 0.69 | 3.39 ± 2.83 |
| 40–49 | 1.69 ± 0.96 | 3.39 ± 1.01a | 2.83 ± 0.64 | 2.21 ± 0.56 | 3.50 ± 3.20 |
| ≥ 50 | 1.27 ± 0.52a | 2.86 ± 0.91a | 23.11 ± 0.91 | 2.38 ± 0.82 | 4.53 ± 3.26 |
Note. EPS = Employability Perceived Scale; PROACT = Proactivity; SE = Self-efficacy; GHQ = General Health Questionnaire; JIS = Job Insecurity Scale.
aStatistically significant difference.
Figure 3Structural Equation Modelling Results With Standardized Path Estimates
*p < .05.