| Literature DB >> 32466109 |
Tung-Ju Wu1, Jia-Ying Gao1, Lian-Yi Wang1, Kuo-Shu Yuan2.
Abstract
Polychronicity refers to the preference of some individuals to structure their time in order to deal with multiple tasks simultaneously in a short period of time. Past research regarding the correlation between individual polychronicity and performance presented distinct arguments. Although most studies supported a positive correlation with performance, empirical findings showed inconsistent results, indicating the presence of other influencing factors. According to the person-environment fit theory and self-determination theory, the effect of polychronicity on job performance was verified and the mediation effect of well-being was tested in this study. Dual-mode questionnaires were collected from 532 subordinators and their direct supervisors in 98 chain restaurants and hierarchical regression analysis was performed to test the research hypotheses. The results showed that polychronicity positively affected well-being, that is, well-being was a full mediator between polychronicity and job performance. This study provides valuable insight for managers to understand employee polychronicity and, in turn, improve their well-being, which could help improve job performance.Entities:
Keywords: job performance; person–environment fit; polychronicity fit; well-being
Year: 2020 PMID: 32466109 PMCID: PMC7277635 DOI: 10.3390/ijerph17103711
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The framework of person–environment polychronicity, well-being, and job performance.
Participant characteristics.
| Variable | Supervisor/Subordinate | Category |
| % |
|---|---|---|---|---|
| Gender | Supervisor | Male | 75 | 77% |
| Female | 23 | 23% | ||
| Subordinate | Male | 172 | 32% | |
| Female | 360 | 68% | ||
| Age | Supervisor | 31.2 (SD = 4.22) | ||
| Subordinate | 23.6 (SD = 6.84) | |||
| Education | Supervisor | Below university | 53 | 54% |
| University or above | 45 | 46% | ||
| Subordinate | Below university | 415 | 77% | |
| University or above | 125 | 23% | ||
| Job Tenure | Supervisor | 9.7 (SD = 5.73) | ||
| Subordinate | 2.4 (SD = 3.32) | |||
Measurement model test.
| Models | χ2 |
| Δχ2 | RMSEA | SRMR | TLI | CFI |
|---|---|---|---|---|---|---|---|
| 1. Baseline model (including P–J fit, P–O fit, P–S fit, WB, JB) | 1414.52 | 575 | - | 0.06 | 0.05 | 0.91 | 0.96 |
| 2. Four-factor model (combining P–J fit and P–J fit into one factor) | 1450.71 | 597 | 36.19 *** | 0.09 | 0.09 | 0.88 | 0.90 |
| 3. Three-factor model (combining P–J fit, P–O fit, and P–S fit into one factor) | 1632 | 600 | 217.48 *** | 0.13 | 0.14 | 0.84 | 0.83 |
| 4. Two-factor model (combining P–J fit, P–O fit, and P–S fit into one factor and WB and JP into one factor) | 1769.88 | 602 | 355.36 *** | 0.19 | 0.21 | 0.81 | 0.78 |
| 5. One-factor model (combining all items into one factor) | 1945.33 | 603 | 530.81 *** | 0.25 | 0.29 | 0.72 | 0.74 |
n = 532. * p < 0.05, ** p < 0.01, *** p < 0.001. P–J fit = person–job fit; P–O fit = person–organization fit; P–S fit = person–supervisor fit. df = degree-of-freedom.
Mean scores, standard deviations, and correlations among study variables.
| Variable | μ | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|---|
| Subordinator ( | |||||||||
| 1 Age | 23.6 | 6.84 | − | ||||||
| 2 Gender | 0.32 | 0.46 | 0.05 | - | |||||
| 3 Job tenure | 2.4 | 3.32 | 0.18 * | 0.33 ** | |||||
| 4 P–J fit | 3.41 | 1.68 | 0.22 * | −0.14 | 0.31 ** | ||||
| 5 P–O fit | 3.15 | 1.73 | 0.24 * | −0.15 | 0.34 *** | 0.28 ** | |||
| 6 P–S fit | 3.08 | 1.54 | 0.21 * | 0.18 * | 0.27 ** | 0.22 * | 0.24 * | ||
| 7 Well-being | 3.88 | 1.85 | 0.27 ** | −0.23 * | 0.25 ** | 0.31 ** | 0.29 ** | 0.35 *** | |
| 8 Job performance | 3.29 | 1.67 | 0.25 ** | −0.19 * | 0.33 ** | 0.28 ** | 0.35 *** | 0.29 ** | 0.35 *** |
|
| |||||||||
| Age | 31.2 | 4.22 | − | ||||||
| Gender | 0.77 | 0.68 | 0.11 | ||||||
| Job Tenure | 9.7 | 5.73 | 0.24 * | 0.14 | |||||
| P–S fit | 3.47 | 1.32 | 0.21 * | 0.25 ** | 0.27 ** | ||||
* p < 0.05, ** p < 0.01, *** p < 0.001; μ refers to mean; SD refers to standard deviation. P–J fit refers to person–job fit; P–O fit refers to person–organization fit; P–S fit refers to person–supervisor fit. Gender:1 = male and 0 = female.
Figure 2Path analysis results, *** p < 0.001.
Mediating effect of well-being by the Sobel test.
| Path | P | Z |
|---|---|---|
| P–J fit--> well-being --> job performance | 0.001 | 4.63 *** |
| P–O fit--> well-being --> job performance | 0.001 | 3.75 *** |
| P–S fit--> well-being --> job performance | 0.001 | 4.18 *** |
n = 532. * p < 0.05, ** p < 0.01, *** p < 0.001. P–J fit = person–job fit; P–O fit = person–organization fit; P–S fit = person–supervisor fit.
Mediating effect of well-being by Bootstrap.
| Path | CI 2.5% | CI 97.5% |
|---|---|---|
| P–J fit--> job performance | 0.042 | 0.343 |
| P–O fit--> job performance | 0.003 | 0.228 |
| P–S fit--> job performance | 0.027 | 0.271 |