| Literature DB >> 33867780 |
Aneeq Inam1, Jo Ann Ho1, Adnan Ahmed Sheikh2,3, Marium Shafqat2, Usama Najam4.
Abstract
Leadership and its connection with social sustainability are frequently prescribed for effective management. Integrating self-leadership among the employees is an emerging area to focus on empowering an organization. The principal objective of this study was to empirically investigate the impact of self-leadership on normative commitment and work performance through the mediating role of work engagement. This phenomenon of self-leadership was explained by using the theoretical lens of the social cognitive theory and intrinsic motivation theory. Data was collected from 318 employees who worked in the telecom sector in Pakistan and analyzed using Structural Equation Modeling (SEM) AMOS. The findings revealed that in the presence of self-leadership, employee's work engagement, commitment to the organization, and overall work performance elevated significantly. Furthermore, the results also illustrated the occurrence of two significant mediating paths. First, the mediating role of work engagement in the relationship between self-leadership and normative commitment, and second, the mediation of work engagement in the relationship between self-leadership and work performance. The findings of the study significantly contribute practically, and theoretically to the existing literature.Entities:
Keywords: Intrinsic motivation theory; Normative commitment; Self leadership; Social cognitive theory; Work engagement; Work performance
Year: 2021 PMID: 33867780 PMCID: PMC8043442 DOI: 10.1007/s12144-021-01697-5
Source DB: PubMed Journal: Curr Psychol ISSN: 1046-1310
Fig. 1Research model
Demographic profile (N= 318)
| Demographics | Mean (S.D.) | Percentage | |
|---|---|---|---|
| Gender | 1.13 (0.336) | ||
| Male | 87.1 | ||
| Female | 12.9 | ||
| Salary | 1.53 (0.839) | ||
| 0–19,999 | 60.4 | ||
| 20,000-39,999 | 32.7 | ||
| 40,000-59,999 | 1.9 | ||
| 60,000-79,999 | 3.1 | ||
| Above 80,000 | 1.9 | ||
| Organization | 2.20 (1.105) | ||
| Mobilink | 35.5 | ||
| Telenor | 26.1 | ||
| Ufone | 21.1 | ||
| Zong | 17.3 | ||
| Experience | 1.18 (0.384) | ||
| 0–3 Years | 82.1 | ||
| 4–6 Years | 17.9 | ||
| City | 2.19 (1.232) | ||
| Karachi | 40.6 | ||
| Lahore | 25.8 | ||
| Multan | 10.1 | ||
| Islamabad | 23.6 | ||
SD, Standard Deviation
Inter-construct correlations, descriptive statistics, and the square root of the average variance extracted
| Sr. | Variables | M | SD | 1 | 2 | 3 | 4 |
|---|---|---|---|---|---|---|---|
| 1 | Self-Leadership (Time 1) | 3.98 | 0.82 | ||||
| 2 | Work Engagement (Time 1) | 3.89 | 0.76 | ||||
| 3 | Normative Commitment (Time 2) | 3.93 | 0.85 | ||||
| 4 | Work Performance (Time 2) | 3.97 | 0.76 | . | |||
| 5 | Gender | 1.13 | .336 | .004 | −.074 | .013 | .026 |
| 6 | Salary | 1.53 | .839 | .017 | .128* | .053 | .037 |
| 7 | Experience | 1.18 | .384 | .060 | .023 | .003 | .001 |
N = 318, * = p < .001, values in italic are the two-tailed Pearson correlation values. Values in Bold = , M = Mean, SD = Standard deviation
Construct’s reliability average variance extracted and measures of dispersion and results of CFA
| Full Model Fit: CMIN/DF = 2.562, CFI = 0.92, RMSEA = 0.07, GFI = 0.90, SRMR = 0.01, TLI = 0.90 | |||||
|---|---|---|---|---|---|
| Constructs | λ | % of Variance Explained | AVE | α | CR |
| Self-Leadership | 63.97% | 0.57 | .928 | 0.92 | |
| SL1 | .65 | ||||
| SL2 | .84 | ||||
| SL3 | .69 | ||||
| SL4 | .88 | ||||
| SL5 | .87 | ||||
| SL6 | .71 | ||||
| SL7 | .80 | ||||
| SL8 | .67 | ||||
| SL9 | .65 | ||||
| Work Engagement | 51.97% | 0.63 | .829 | 0.94 | |
| WE1 | .79 | ||||
| WE2 | .72 | ||||
| WE3 | .64 | ||||
| WE4 | .79 | ||||
| WE5 | .80 | ||||
| WE6 | .95 | ||||
| WE7 | .80 | ||||
| WE8 | .80 | ||||
| WE9 | .82 | ||||
| Work Performance | 66.43% | 0.80 | .822 | 0.92 | |
| WP1 | .90 | ||||
| WP2 | .94 | ||||
| WP3 | .93 | ||||
| WP4 | .79 | ||||
| Normative Commitment | 75.56% | 0.63 | .838 | 0.84 | |
| NC1 | .68 | ||||
| NC2 | .83 | ||||
| NC3 | .86 | ||||
λ = Factor Loadings, CR = Composite reliability, (α) = Cronbach’s alpha
Fig. 2Structural equation modeling
Mediation analysis
| Path | Total Effects (TE) | Direct Effects (DE) | Indirect Effects (IE) | |||
| SL ➔ WE ➔NC | 0.570 | 0.000** | 0.237 | 0.001** | 0.333 | 0.000** |
| SL ➔ WE ➔WP | 0.530 | 0.000** | 0.187 | 0.001** | 0.343 | 0.000** |
**p < .01, TE, Total Effects; IE, Indirect Effects; DE, Direct Effects