| Literature DB >> 35010759 |
Woo-Sung Choi1, Seung-Wan Kang2, Suk Bong Choi3.
Abstract
Innovation is now a feature of daily life. In a rapidly changing market environment and amid fierce competition, organizations pursue survival and growth through innovation, and the key driver of innovation is the creativity of employees. Because the value of creativity has been emphasized, many organizations are looking for effective ways to encourage employees to be creative at work. From a resource perspective, creativity at work can be viewed as a high-intensity job demand, and organizations should encourage it by providing and managing employee resources. This study is an attempt to empirically investigate how competence and abusive supervision affect the relationship between procedural justice and creativity from the conservation of resources perspective. Findings from two-wave time-lagged survey data from 377 South Korean employees indicate that procedural justice increases creativity through the mediation of competence. Furthermore, abusive supervision has a negative moderating effect on the relationship between procedural justice and competence. The findings show that competence moderates the relationship between procedural justice and creativity and that the lower the level of abusive supervision, the greater the effect of procedural justice on competence and creativity.Entities:
Keywords: abusive supervision; competence; conservation of resource theory; creativity; procedural justice
Mesh:
Year: 2022 PMID: 35010759 PMCID: PMC8744591 DOI: 10.3390/ijerph19010500
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The theoretical research model.
Means, Standard Deviations, Correlations, and Reliabilities.
| Variables | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | 0.53 | 0.50 | - | ||||||||
| 2. Age | 41.81 | 10.34 | 0.02 | - | |||||||
| 3. Education | 2.79 | 1.07 | 0.07 | −0.04 | - | ||||||
| 4. Job level | 2.59 | 1.54 | 0.37 *** | 0.49 *** | 0.22 *** | - | |||||
| 5. Tenure | 7.98 | 7.47 | 0.16 ** | 0.51 *** | 0.10 | 0.43 *** | - | ||||
| 6. JTC | 3.14 | 0.68 | 0.01 | 0.11 * | 0.01 | 0.19 *** | 0.19 *** | (0.79) | |||
| 7. ASV | 2.04 | 0.83 | 0.03 | 0.02 | 0.01 | −0.05 | −0.06 | −0.22 *** | (0.94) | ||
| 8. CPT | 3.67 | 0.61 | 0.01 | 0.08 | 0.10 | 0.11 * | 0.08 | 0.22 *** | −0.18 ** | (0.85) | |
| 9. CRV | 3.30 | 0.68 | 0.03 | 0.11 * | 0.12 * | 0.18 *** | 0.10 | 0.22 *** | 0.00 | 0.47 *** | (0.87) |
Notes: n = 337, * p < 0.05, ** p < 0.01, *** p < 0.001, the values in parentheses denote Cronbach’s alphas. Age: years, Gender: female = 0, male = 1, Education = highest education level achieved: 1 = high school graduates, 2 = college graduates, 3 = university graduates, 4 = post-graduates, 5 = Ph.D. holders. Job level: 1 = staff, 2 = assistant manager, 3 = manager, 4 = senior manager, 5 = directors, 6 = executives. Tenure: organizational tenure (year), JTC = procedural justice, ASV = abusive supervision, CPT = competence, CRV = creativity.
Confirmatory Factor Analysis Results.
| Model. | χ2 (df) | CFI | TLI | RMSEA | Δχ2 (Δdf) 4 |
|---|---|---|---|---|---|
| Research model (4 factor) | 216.78(158) ** | 0.98 | 0.98 | 0.03 | |
| Alternative model 1 (3 factor) 1 | 641.98(166) *** | 0.85 | 0.82 | 0.09 | 424.80(8) *** |
| Alternative model 2 (2 factor) 2 | 1152.30(173) *** | 0.70 | 0.65 | 0.13 | 933.52(15) *** |
| Alternative model 3 (1 factor) 3 | 1836.97(179) *** | 0.48 | 0.42 | 0.17 | 1620.19(21) *** |
Notes:n = 377, ** p < 0.01 *** p <0.001, CFI = comparative fit index, TLI = Tucker–Lewis index, RMSEA = root mean square; 1 3 factor: JTC + ASV, CPT, CRV, 2 2 factor: JTC + ASV+CPT, CRV, 3 1 factor: JTC + ASV + CPT + CRV, JTC = procedural justice, ASV = abusive supervision, CPT = competence, CRV = creativity, 4 Chi-square difference for each model reflects its deviation from the four-factor model.
Hierarchical Multiple Regression Results.
| Variables | CPT | CRV | ||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| Gender | −0.03 | −0.01 | −0.01 | −0.03 | −0.01 | −0.02 |
| Age | 0.04 | 0.05 | 0.06 | 0.04 | 0.05 | 0.02 |
| Education | 0.09 | 0.10 | 0.12 * | 0.09 | 0.10 | 0.05 |
| Job level | 0.08 | 0.04 | 0.03 | 0.15 * | 0.11 | 0.10 |
| Tenure | 0.02 | −0.01 | −0.02 | 0.01 | −0.02 | −0.01 |
| JTC | 0.20 *** | 0.15 ** | 0.20 *** | 0.14 ** | ||
| ASV | −0.17 ** | 0.12 * | ||||
| JTC * ASV | −0.14 * | |||||
| CPT | 0.44 *** | |||||
|
| 0.02 | 0.06 | 0.10 | 0.04 | 0.08 | 0.27 |
| Δ | 0.04 | 0.04 | 0.04 | 0.19 | ||
| 0.01 | 0.04 | 0.08 | 0.03 | 0.06 | 0.25 | |
|
| 1.51 | 3.60 ** | 4.48 *** | 2.95 * | 4.87 *** | 14.77 *** |
|
| 13.75 *** | 6.73 ** | 6.76 *** | 13.90 *** | 40.96 *** | |
Note. n = 337, * p < 0.05, ** p < 0.01, *** p < 0.001 (two-tailed test), Standardized coefficients are reported, JTC=procedural justice, ASV=abusive supervision, CPT = competence, CRV = creativity.
Bootstrapping Mediation Results.
| Dependent Variable: CRV | ||||
|---|---|---|---|---|
| Mediator | Indirect Effect | SE | 95% CI | |
| LL | UL | |||
| CPT | 0.10 | 0.03 | 0.04 | 0.15 |
Note. n = 337, Bootstrap sample size = 10,000, CPT = competence, CRV = creativity, SE = standard error, CI = confidence interval, LL = lower limit, UL = upper limit.
Figure 2The moderating effect of abusive supervision level on the relationship between procedural justice and competence. JTC = procedural justice, ASV = abusive supervision.
Moderated Mediation Bootstrapping Results.
| Dependent Variable: CRV | |||||
|---|---|---|---|---|---|
| Moderator | Level | Indirect Effect | SE | 95% CI | |
| LL | UL | ||||
| ASV | Low (−1 SD) | 0.12 | 0.04 | 0.05 | 0.21 |
| High (+1 SD) | 0.02 | 0.04 | −0.07 | 0.10 | |
Notes: n = 337, bootstrap sample size = 10,000, ASV = abusive supervision, CRV = creativity, SE = standard error, CI = confidence interval, LL = lower limit, UL = upper limit.