| Literature DB >> 32927711 |
Xiang Zhou1, Samma Faiz Rasool2,3, Dawei Ma1.
Abstract
It has been contended that violence is prevalent in the workplace, and there has been increasing research interest into its potential effects. Human interactions at workplaces are apparent. However, the interactions among humans may have positive or negative dimensions. Usually, the positive or negative interactions between workers lead to different outcomes. Sometimes, they lead to a productive working environment; however, in some cases, they lead to toxicity among workers. In this study, we investigate the impact of workplace violence (WV) on innovative work behavior (IWB). Specifically, it examines the impact of the three dimensions of WV, namely, harassment, mobbing, and sabotage. Moreover, employees' wellbeing mediates the relationship between WV (harassment, mobbing, and sabotage) and IWB. A questionnaire survey approach was used in this study. The target population were the workers of SMEs entrepreneurs located in Guangdong Province (China). The results confirm that, in the direct relationship, WV (harassment, mobbing, and sabotage) has a negative relationship with innovative IWB. Moreover, results also confirm that employee wellbeing is mediated between WV (harassment, mobbing, and sabotage) and IWB. Therefore, the empirical results of this paper identify that workplace violence reduces employees' innovative work behavior by reducing their subjective and eudemonic wellbeing, which further broadens the perspective of IWB's motivation analysis. Practical implications for small and medium enterprise organizations have also been discussed in this paper.Entities:
Keywords: employee wellbeing; innovative work behavior; workplace violence
Year: 2020 PMID: 32927711 PMCID: PMC7551499 DOI: 10.3390/healthcare8030332
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Figure 1Proposed research model.
Demographics.
| Demographic | Items | Frequency | Percentage (%) |
|---|---|---|---|
|
| Male | 164 | 48.8 |
| Female | 172 | 51.2 | |
|
| 18–25 | 63 | 18.8 |
| 25–30 | 86 | 25.6 | |
| 31–40 | 42 | 12.5 | |
| 41–50 | 91 | 27.1 | |
| 51–60 | 54 | 16.1 | |
|
| Under the high school | 33 | 9.8 |
| High School | 30 | 8.9 | |
| Bachelor degree/Junior college degree | 197 | 58.6 | |
| Master | 34 | 10.1 | |
| Ph.D. and above | 42 | 12.5 | |
|
| Less than 5 Years | 179 | 35.4 |
| 5–10 Years | 30 | 8.9 | |
| 10–15 Years | 41 | 12.2 | |
| 15–20 Years | 96 | 28.6 | |
| More than 20 Years | 50 | 14.9 |
Confirmatory Factor Analysis.
| Model | Factors | x2 | Df | x2/df | Δ2/ | RMSEA | TLI | CFI | SRMR |
|---|---|---|---|---|---|---|---|---|---|
|
| WH;WM;WS;WB;IWB | 455.74 | 199 | 2.29 | - | 0.06 | 0.94 | 0.95 | 0.04 |
|
| WH + WM + WS;WB;IWB | 860.987 | 206 | 4.18 | 405.25 ** | 0.1 | 0.84 | 0.86 | 0.07 |
|
| WH + WM + WS + WB;IWB | 1193.264 | 208 | 5.74 | 737.52 ** | 0.12 | 0.77 | 0.79 | 0.08 |
|
| WH + WM + WS + WB + IWB | 1207.245 | 209 | 5.78 | 751.51 ** | 0.12 | 0.76 | 0.79 | 0.08 |
Note: Root Mean Square Error of Approximation = RMSEA, Tucker-Lewis index = TLI, Comparative Fit Index = CFI, Workplace Harassment = WH, Workplace Mobbing = WM, Workplace Sabotage = WS, Well-being = WB, Innovative Work Behaviour = IWB. (**) demonstrate the significance of the variables’ relations (p < 0.01 is considered significant).
Mean, Standard Deviation, and Correlations of Variables.
| Variables | M | SD | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|
|
| 3.445 | 0.920 | 1 | ||||
|
| 2.734 | 0.704 | 0.671 ** | 1 | |||
|
| 3.445 | 0.800 | 0.643 ** | 0.408 ** | 1 | ||
|
| 2.546 | 0.833 | −0.635 ** | −0.566 ** | −0.523 ** | 1 | |
|
| 2.619 | 0.750 | −0.748 ** | −0.624 ** | −0.583 ** | 0.865 ** | 1 |
Note: (**) demonstrate the significance of the variables’ relations (p < 0.01 is considered significant). Mean = M, Standard Deviation = SD, Workplace Harassment = WH, Workplace Mobbing = WM, Workplace Sabotage = WS, Well-being = WB, Innovative Work Behaviour = IWB.
Direct Effects (Path model results).
| Hypothesis | Estimate | S.E. | C.R. |
| |
|---|---|---|---|---|---|
|
| IWB ← WH | −0.799 | 0.064 | −12.403 | *** |
|
| IWB ← WM | −0.860 | 0.086 | −10.050 | *** |
|
| IWB ← WS | −0.648 | 0.064 | −10.128 | *** |
Note: (***) demonstrate the significance of the variables’ relations (p < 0.05 is considered significant generally). S.E., standard error; C.R., composite reliability; WH = Workplace Harassment, WM = Workplace Mobbing, WS = Workplace Sabotage, IWB = Innovative work behavior.
Indirect Effects (path model results).
| Hypothesis | Estimate | S.E. | C.R. |
| |
|---|---|---|---|---|---|
|
| WB ← WH | −0.710 | 0.064 | −11.056 | *** |
| IWB ← WB | 0.779 | 0.063 | 12.289 | *** | |
| IWB ← WH | −0.263 | 0.046 | −5.687 | *** | |
|
| WB ← WM | −0.820 | 0.086 | −9.504 | *** |
| IWB ← WB | 0.903 | 0.069 | 12.046 | *** | |
| IWB ← WM | −0.140 | 0.058 | −2.424 | 0.015 | |
|
| WB ← WS | −0.613 | 0.065 | −9.398 | *** |
| IWB ← WB | 0.915 | 0.067 | 13.622 | *** | |
| IWB ← WS | −0.099 | 0.042 | −2.340 | 0.019 | |
Note: (***) demonstrate the significance of the variables’ relations (p < 0.05 is considered significant generally). S.E., standard error; C.R., composite reliability; WH = Workplace Harassment, WM = Workplace Mobbing, WS = Workplace Sabotage, WB = Wellbeing, IWB = Innovative work behavior.