| Literature DB >> 33918095 |
Margherita Zito1, Emanuela Ingusci2, Claudio G Cortese3, Maria Luisa Giancaspro4, Amelia Manuti4, Monica Molino3, Fulvio Signore2, Vincenzo Russo1.
Abstract
During the first months of 2020, the world, and Italy at an early stage, went through the COVID-19 emergency that had a great impact on individual and collective health, but also on working processes. The mandatory remote working and the constant use of technology for employees raised different implications related to technostress and psycho-physical disorders. This study aimed to detect, in such a period of crisis and changes, the role of organizational communication considering the mediating role of both technostress and self-efficacy, with psycho-physical disorders as outcome. The research involved 530 workers working from home. A Structural Equations Model was estimated, revealing that organizational communication is positively associated with self-efficacy and negatively with technostress and psycho-physical disorders. As mediators, technostress is positively associated with psycho-physical disorders, whereas self-efficacy is negatively associated. As regards mediated effects, results showed negative associations between organizational communication and psycho-physical disorders through both technostress and self-efficacy. This study highlighted the potential protective role of organizational communication that could buffer the effect of technostress and enhance a personal resource, self-efficacy, which is functional to the reduction of psycho-physical disorders. This study contributed to literature underlying the role of communication in the current crisis and consequent reorganization of the working processes.Entities:
Keywords: COVID-19; organizational communication; psycho-physical disorders; remote working; self-efficacy; technostress
Year: 2021 PMID: 33918095 PMCID: PMC8069567 DOI: 10.3390/ijerph18083933
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The hypothesized theoretical model.
Fornell–Larcker criterion assessing of discriminant validity. Square root of the AVE on the diagonal.
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| 1. ORG. COMMUNICATION |
| |||
| 2. TECHNOSTRESS | −0.20 |
| ||
| 3. SELF-EFFICACY | 0.20 | −0.11 |
| |
| 4. PSYCHO-PHYSICAL DISORDERS | −0.21 | 0.31 | −0.22 |
|
Heterotrait–Monotrait (HTMT) ratio of correlation.
| 1 | 2 | 3 | |
|---|---|---|---|
| 1. ORG. COMMUNICATION |
| ||
| 2. TECHNOSTRESS | 0.22 |
| |
| 3. SELF-EFFICACY | 0.33 | 0.17 |
|
| 4. PSYCHO-PHYSICAL DISORDERS | 0.21 | 0.33 | 0.27 |
Means, Standard Deviations, and Correlations (Pearson’s r).
| M | SD | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|---|
| 1. ORG. COMMUNICATION | 3.42 | 0.77 | (0.73) | |||
| 2. TECHNOSTRESS | 2.30 | 0.88 | −0.10 * | (0.90) | ||
| 3. SELF-EFFICACY | 4.13 | 0.77 | 0.22 ** | −0.05 | (0.76) | |
| 4. PSYCHO-PHYSICAL DISORDERS | 1.77 | 0.65 | −0.17 ** | 0.35 ** | −0.22 ** | (0.84) |
Note. ** p < 0.01 level; * p < 0.05 level. Cronbach’s alphas are on the diagonal (between brackets).
Figure 2Results of the structural equations model. Note. TECH COMP = parcel of techno-complexity; TECH INV = parcel of techno-invasion; TECH OVER = parcel of techno-overload; C1 = item 1 of the latent variable organizational communication; C2 = item 2 of the latent variable organizational communication; C3 = item 3 of the latent variable organizational communication; SE1 = item 1 of the latent variable self-efficacy; SE2 = item 2 of the latent variable self-efficacy; SE3 = item 3 of the latent variable self-efficacy; P1 = parcel 1 of the latent variable psycho-physical disorders; P2 = parcel 2 of the latent variable psycho-physical disorders.
Indirect effects of the estimated SEM using bootstrapping (2000 replications).
| Indirect Effects | Standardized Indirect Effects—Bootstrapping Procedure | |||
|---|---|---|---|---|
| Est. | s.e. |
| CI 95% | |
| Organizational communication | −0.11 | 0.02 | 0.01 | (−2.37, −0.21) |
| Organizational communication | −0.05 | 0.03 | 0.00 | (−5.419, −0.552) |