| Literature DB >> 35143498 |
Yinnon Dryzin-Amit1, Dana R Vashdi1, Eran Vigoda-Gadot1.
Abstract
The meaning of Publicness for organizations and for individuals has received growing attention in the public administration literature in recent years. We adopt a perceived publicness perspective to expand our understanding of the publicness concept and operationalize this perception as a means to predict employees' formal and prosocial behaviors across sectors. Using a recently developed Publicness Perceptions Scale (PPS), we present and empirically examine a model regarding the direct and indirect relationships among perceived publicness, employees' engagement, and their performance in public and hybrid organizations. Findings based on a field study of 340 employees from governmental (i.e. public) and non-governmental (i.e. hybrid) organizations reveal that perceived publicness has a positive relationship with Organizational Citizenship Behaviors (OCB) and that this relationship is largely mediated by employees' engagement. In addition, in non-government organizations perceived publicness is negatively related to employees' in-role performance. We thus contribute to the theoretical knowledge on publicness at the perceptual level and point to its role in formal and informal performance across sectors. Other theoretical, methodological, and practical implications are discussed, and directions for future studies are suggested.Entities:
Mesh:
Year: 2022 PMID: 35143498 PMCID: PMC8830704 DOI: 10.1371/journal.pone.0262253
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1The research model.
Means, standard deviations, and intercorrelations.
| N | Mean | S.D. | 1 | 2 | 3 | 4 | 5 | 6 | |
|---|---|---|---|---|---|---|---|---|---|
| 1. Publicness Perceptions Scale (PPS) | 340 | 3.74 | .8 | - | - | - | - | - | - |
| 2. Tenure (years) | 322 | 4.47 | 6.09 | -.19 | - | - | - | - | - |
| 3. Leadership | 339 | 3.97 | .73 | .27 | -.23 | - | - | - | - |
| 4. POP | 340 | 2.41 | .97 | -.09 | .20 | -.40 | - | - | - |
| 5. Employee Engagement | 337 | 3.46 | .74 | .15 | .12 | .37 | -.13 | - | - |
| 6. In-role Performance | 336 | 4.17 | .63 | .06 | -.05 | -.01 | -.09 | .10 | - |
| 7. OCB | 339 | 3.86 | .63 | .20 | -.13 | .11 | -.14 | .16 | .76 |
*p < .05
**p < .01
***p < .001
Means and S.D. of perceived publicness across gender and education.
| Variable | Categories | Sample Size | |||
|---|---|---|---|---|---|
| Mean | S.D. | F | |||
| Gender | Male | N = 260 | 3.70 | .85 | F(1,338) = 3.74 |
| Female | N = 80 | 3.90 | .58 | ||
| Education | High School | N = 80 | 3.49 | .58 | F(3,332) = 9.18 |
| Professional accreditation | N = 157 | 3.96 | .82 | ||
| BA degree | N = 30 | 3.82 | .70 | ||
| MA degree and above | N = 59 | 3.50 | .87 | ||
***p < .001
Means and S.D. of perceived publicness across ownership and profession.
| Sample Size | Profession | PPS Level in Government Organizations N = 234 | PPS Level in Non-Government Organizations N = 106 | ||
|---|---|---|---|---|---|
| Mean | S.D. | Mean | S.D. | ||
| N = 70 | Security Personnel | 2.58 | .50 | ||
| N = 36 | Radiology Technicians | 3.27 | .36 | ||
| N = 206 | Security Personnel | 4.21 | .45 | ||
| N = 28 | Radiology Technicians | 3.79 | .51 | ||
F(3,336) = 235.26*** ***p < .001
Multi-level analysis with in-role performance as dependent variable.
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N | 317 | 316 | 316 | 316 | 313 | |||||
| Estimate | S.E. | Estimate | S.E. | Estimate | S.E. | Estimate | S.E. | Estimate | S.E. | |
| Intercept | 4.20 | .14 | 4.40 | .31 | 4.18 | .40 | 3.85 | .49 | 4.07 | .45 |
| Gender | -.05 | .08 | -.04 | .08 | -.05 | .08 | -.06 | .08 | -.04 | .09 |
| Tenure | .01 | .01 | .01 | .01 | .01 | .01 | .01 | .01 | .00 | .01 |
| Education | .01 | .04 | .00 | .04 | .01 | .04 | .01 | .04 | -.01 | .04 |
| Leadership | -.02 | .06 | -.02 | .06 | -.03 | .06 | -.04 | .06 | ||
| POP | -.05 | .04 | -.05 | .04 | -.04 | .09 | -.05 | .04 | ||
| PPS | .06 | .07 | .14 | .09 | .05 | .08 | ||||
| Organization Ownership | 1.04 | .61 | -.10 | .22 | ||||||
| PPS * Org. Ownership | -.35 | .18 | - | - | ||||||
| Employee Engagement | - | - | .08 | .05 | ||||||
| Random Variance | .07 | - | .07 | - | .07 | - | .06 | - | .07 | - |
| -2loglikelihood | 314.2 | - | 620.3 | - | 623.0 | - | 621.8 | - | 612.4 | |
*p < 0.05,
** p < 0.01,
*** p < 0.001,
+1 = male, 2 = female;
++1 = high school, 2 = professional accreditation, 3 = BA degree, 4 = MA degree or above;
+++0 = non-government, 1 = government
Multi-level analysis with OCB as dependent variable.
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| N | 320 | 319 | 319 | 319 | 316 | |||||
| Estimate | S.E. | Estimate | S.E. | Estimate | S.E. | Estimate | S.E. | Estimate | S.E. | |
| Intercept | 3.94 | .14 | 3.81 | .30 | 3.21 | .38 | 3.43 | .46 | 3.06 | .41 |
| Gender | -.09 | .08 | -.08 | .08 | -.08 | .08 | -.07 | .08 | -.07 | .08 |
| Tenure | .00 | .01 | .00 | .01 | .00 | .01 | .00 | .01 | .00 | .01 |
| Education | .02 | .04 | .01 | .04 | .02 | .04 | .02 | .04 | .01 | .04 |
| Leadership | - | - | .05 | .05 | .03 | .05 | .03 | .05 | .01 | .05 |
| POP | - | - | -.02 | .04 | -.01 | .04 | -.02 | .04 | -.01 | .04 |
| PPS | - | - | - | - | .16 | .06 | .11 | .09 | .14 | .07 |
| Org. Ownership | - | - | - | - | - | - | -.52 | .58 | -.08 | .21 |
| PPS * Org. Ownership | - | - | - | - | - | - | .14 | .16 | - | - |
| Employee Engagement | - | - | - | - | - | - | - | - | .11 | .05 |
| Random Variance | .10 | - | .10 | - | .09 | - | .10 | - | .08 | - |
| -2loglikelihood | 568.1 | - | 564.6 | - | 558.8 | - | 558 | - | 233.9 | - |
*p < 0.05,
** p < 0.01,
*** p < 0.001,
+1 = male, 2 = female;
++1 = high school, 2 = professional accreditation, 3 = BA degree, 4 = MA degree or above;
+++0 = non-government, 1 = government
Multi-level analysis with employee engagement as dependent variable.
| Employee Engagement | ||||
|---|---|---|---|---|
| Model 1 | Model 2 | |||
| N | 317 | 317 | ||
| Estimate | S.E. | Estimate | S.E. | |
| Intercept | 1.83 | .34 | 1.32 | .43 |
| Gender | .01 | .09 | .00 | .09 |
| Tenure | .03 | .01 | .03 | .01 |
| Education | -.04 | .05 | -.03 | .05 |
| Leadership | .41 | .06 | .39 | .06 |
| POP | -.01 | .04 | -.01 | .04 |
| PPS | - | - | .14 | .07 |
| Employee Engagement | - | - | - | - |
| Random Variance | .04 | - | .05 | - |
| -2loglikelihood | 675.1 | - | 674.8 | - |
*p < 0.05,
** p < 0.01,
*** p < 0.001,
+1 = male, 2 = female;
++1 = high school, 2 = professional accreditation, 3 = BA degree, 4 = MA degree or above
Fig 2The relationship between perceived publicness and in-role performance.