| Literature DB >> 32531877 |
Jeremy Mitonga-Monga1, Claude-Hélène Mayer1.
Abstract
Research on coping, sense of coherence, burnout, and work engagement is well documented in western countries. However, a void of studies exists on how coping mechanisms can moderate the relationship among sense of coherence, burnout, and work engagement in a manufacturing company in the Democratic Republic of Congo (DRC). The objective of this research was to examine the moderating effect of coping (COP) in the relationship between sense of coherence (SOC), burnout (BO), and work engagement (WE). The study employed a quantitative research approach, while participants were recruited through convenience sampling. A total of 197 employees (n = 197; females 40%) who are permanently employed in a manufacturing organisation in the DRC participated in the study voluntarily. The results indicate that coping related positively to a sense of coherence. Moreover, the results indicate that sense of coherence and work engagement related negatively to burnout. Furthermore, the results show that coping acted as a moderator in the relationships between variables. The study adds value to the WE theory by suggesting that an employee who has a high level of COP, high SOC, low level of BO, will positively engage, perform, and be productive.Entities:
Keywords: Democratic Republic of Congo (DRC); burnout; employee participation; sense of coherence; work engagement
Mesh:
Year: 2020 PMID: 32531877 PMCID: PMC7312054 DOI: 10.3390/ijerph17114127
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Sample profiles.
| Characteristic | Category | Frequency | Percentage (%) |
|---|---|---|---|
| Gender | Male | 118 | 60% |
| Female | 79 | 40% | |
| Age | Less than 25 years | 12 | 6% |
| 25–40 years | 82 | 42% | |
| 40–50 years | 93 | 47% | |
| 55 and older | 10 | 5% | |
| Education | Primary school | 7 | 4% |
| Secondary school | 30 | 15% | |
| University bachelor & honours | 118 | 60% | |
| Masters and doctorate | 42 | 21% | |
| Functional department | Human Resources | 33 | 16% |
| Financial management | 33 | 17% | |
| Distribution & sales | 33 | 17% | |
| Technical management | 33 | 17% | |
| Project management | 33 | 17% | |
| Exploitation management | 32 | 16% |
Source: Own data.
Descriptive Statistics (Mean and Standard Deviation).
| Variables | Mean | SD |
|---|---|---|
| Coping (COP) | 2.90 | 0.31 |
| Problem-Focused COP | 2.69 | 0.55 |
| Seeking support COP | 3.13 | 0.49 |
| Sense of coherence (SOC) | 4.64 | 0.72 |
| Comprehensibility (SOC) | 5.22 | 1.25 |
| Burnout (BO) | 3.71 | 0.72 |
| Cynicism (BO) | 2.20 | 1.66 |
| Work engagement (WE) | 4.54 | 0.81 |
| Vigour (WE) | 4.86 | 1.12 |
| Dedication (WE) | 4.21 | 1.20 |
Correlational analysis.
| Variables | Copping COP | Problem-Focused COP | Seeking Support COP | Sense of Coherence SOC | Comprehensibility SOC | Burnout BO | Cynicism BO | Work Engagement WE | Vigour WE | Dedication WE |
|---|---|---|---|---|---|---|---|---|---|---|
| Coping (COP) | 1 | 0.49 ** | 0.53 *** | 0.70 *** | 0.13 | −0.15 * | −0.11 | 0.13 | 0.13 | 0.14 |
| Problem-Focused (COP) | 1 | 0.04 | 0.24 * | 0.15 | −0.15 * | −0.15 * | 0.06 | 0.16* | −0.2 | |
| Seeking Support (COP) | 1 | 0.11 * | 0.03 | 0.03 | 0.13 | 0.03 | 0.02 | 0.05 | ||
| Sense of Coherence (SOC) | 1 | 0.73 *** | −0.47 ** | −0.40 | 0.09 | 0.22 * | 0.22 * | |||
| Comprehensibility (SOC) | 1 | −0.30 * | −0.28 ** | −0.10 | 0.01 | 0.01 | ||||
| Burnout (BO) | 1 | 0.82 *** | −0.25 * | −0.32 ** | −0.36 | |||||
| Cynicism (BO) | 1 | −0.04 | −0.14 * | −0.17 * | ||||||
| Work Engagement (WE) | 1 | 0.82 *** | 0.82 *** | |||||||
| Vigour (WE) | 1 | 0.54 ** | ||||||||
| Dedication (WE) | 1 |
n = 197; *** p ≤ 0.01, ** p ≤ 0.02, * p ≤ 0.05.
Hayes’ Process Regression Matrix for Moderating effect of the coping (COP) on the relationship between sense of coherence (SOC) and (burnout (BO) (n = 197).
| Variables |
|
|
| 95% Confidence Interval |
|
| |
|---|---|---|---|---|---|---|---|
| LLCI | ULCI | ||||||
| Constant | 7.33 (3.80) | 1.92 | 0.06 | −0.18 | 14.84 | 0.47 | 0.22 |
| SOC | −1.01 (0.84) | −1.20 | 0.23 | −2.66 | 0.64 | ||
| COP | −0.64 (1.32) | −0.50 | 0.62 | −3.25 | 1.94 | ||
| Interaction_1 | 0.14 (0.29) | 0.47 | 0.64 | −0.43 | 0.70 | ||
Note: B = Unstandardized coefficients; SEs = standard errors; LLCI = lower level of confidence interval; ULCI = upper level of confidence interval.
Hayes’ Process Regression Matrix for Moderating effect of the COP on the relationship between SOC and WE (n = 200).
| Variables |
|
|
| 95% Confidence Interval |
|
| |
|---|---|---|---|---|---|---|---|
| LLCI | ULCI | ||||||
| Constant | −8.19 (3.87) | −2.11 | 0.04 | −15.82 | −0.55 | 0.25 | 0.06 |
| SOC | 2.64 (0.85) | 3.10 | 0.02 | 0.96 | 4.31 | . | |
| COP | 4.30 (−0.89) | 3.21 | 0.00 | 1.66 | 6.94 | ||
| Interaction_1 | −0.89 (0.29) | −3.03 | 0.02 | −1.46 | −0.31 | ||
Note: B = Unstandardized coefficients; SEs = standard errors LLCI = lower level of confidence interval; ULCI = upper level of confidence interval.
Figure 1Interaction effect between COP, SOC, and work engagement (WE).