| Literature DB >> 34335346 |
Faiza Manzoor1, Longbao Wei1, Muhammad Asif2.
Abstract
The prime goal of this study is to analyze the impact of intrinsic rewards on the performance of an employee. It also focuses on the role of motivation of the employee as an intervening factor. To achieve this objective, data have been collected through the questionnaire method from small and medium enterprises of Pakistan. A total of 400 questionnaires were distributed to the target population, and 300 were received. To test the hypotheses, the confirmatory factor analysis and the structural equation modeling have been used. The main results of the study have shown a positive and significant impact of intrinsic rewards on the performance of the employee. Specifically, the study reveals that the motivation of an employee significantly mediates the association between intrinsic rewards and the performance of the employee. In the light of the findings, implications are outlined.Entities:
Keywords: Pakistan; employee motivation; employee performance; intrinsic rewards; small and medium enterprises
Year: 2021 PMID: 34335346 PMCID: PMC8319625 DOI: 10.3389/fpsyg.2021.563070
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Conceptual framework illustrates the associations examined in this study.
Mean, standard deviation, correlations, and discriminant validity.
| 1. Intrinsic reward | 3.27 | 1.30 | |||
| 2. Employee motivation | 2.97 | 1.51 | 0.50 | ||
| 3. Employee performance | 2.66 | 1.43 | 0.46 | 0.73 | |
Correlations are significant at the p < 0.01.
Bold values show discriminant validity and are greater than the squared correlations.
Goodness-of-fit statistics.
| χ2 (chi square) | 326.918 |
| Degree of freedom | 167 |
| CMIN/DF | 1.958 |
| Goodness of Fit Index (GFI) | 0.897 |
| Adjusted Goodness of Fit Index (AGFI) | 0.870 |
| Normed Fit Index (NFI) | 0.945 |
| Relative Fit Index (RFI) | 0.937 |
| Incremental Fit Measures (IFI) | 0.972 |
| Tucker–Lewis Index (TLI) | 0.968 |
| Comparative Fit Index (CFI) | 0.972 |
| Standardized Root Mean Square Residual (SRMR) | 0.064 |
| Root Mean Square Error of Approximation (RMSEA) | 0.057 |
CFA, confirmatory factor analysis; Chi square/degree of freedom.
Factor loading of indicators and overall reliability of the constructs.
| 0.818 | 0.96/0.969 | |||
| Non-monetary form of recognition to acknowledged achievement of quality improved goals such as, merchandise, certificates, and complementary tickets | 0.917 | 0.913 | ||
| Celebrations to acknowledge achievement of quality improvement goals such as lunches, dinners, and special events | 0.876 | 0.858 | ||
| Regular expressions of appreciation by managers/leaders to employees to acknowledge achievement of quality improvement goals. | 0.901 | 0.884 | ||
| 360 degrees performance appraisals wherein feedback from co-workers and/or customers is incorporated into performance appraisals. | 0.911 | 0.911 | ||
| Formal suggestion system available for individuals to make quality improvement suggestions. | 0.924 | 0.920 | ||
| Use of development-based performance appraisals. | 0.900 | 0.879 | ||
| Quality based promotions wherein promotions are based primarily on the achievement of quality-based goals as opposed to quantity-based goals. | 0.904 | 0.887 | ||
| 0.713 | 0.92/0.937 | |||
| I feel a sense of personal satisfaction when I do my work well. | 0.881 | 0.882 | ||
| My view of for myself goes unhappy when I do the work unwell. | 0.878 | 0.880 | ||
| I feel satisfaction in doing my work well as I can. | 0.826 | 0.813 | ||
| I feel down when my effort is not up to my standard. | 0.843 | 0.834 | ||
| I work harder because my subordinates appreciate it. | 0.822 | 0.784 | ||
| I try to think if ways of doing my work efficiently and effectively. | 0.817 | 0.774 | ||
| 0.742 | 0.94/0.952 | |||
| I am aware that the work that I do is important for the organization | 0.871 | 0.859 | ||
| The work that I perform needs competent personnel, and everyone cannot perform it. | 0.884 | 0.875 | ||
| The work that I perform is worth doing. | 0.842 | 0.804 | ||
| I can use my potential completely in my work. | 0.846 | 0.828 | ||
| My performance is much better than the same qualified colleagues. | 0.845 | 0.843 | ||
| I mostly fail to complete important responsibilities. | 0.881 | 0.885 | ||
| I am happy with my performance because it is generally satisfying and better. | 0.862 | 0.870 |
AVE, average variance extracted; CR, composite reliability; CFA, confirmatory factor analysis; EFA, exploratory factor analysis.
Measurement model for explanatory variable (intrinsic reward), dependent variable (employee performance), and mediator variable (employee motivation).
| IR1 | 0.913 | Fixed | 0.834 | ||||||
| IR2 | 0.858 | 22.993 | 0.736 | ||||||
| IR3 | 0.884 | 24.828 | 0.781 | ||||||
| IR4 | 0.911 | 27.099 | 0.830 | ||||||
| IR5 | 0.920 | 27.321 | 0.846 | ||||||
| IR6 | 0.879 | 24.511 | 0.773 | ||||||
| IR7 | 0.887 | 25.051 | 0.787 | ||||||
| EM1 | 0.882 | Fixed | 0.778 | ||||||
| EM2 | 0.880 | 21.422 | 0.774 | ||||||
| EM3 | 0.813 | 18.402 | 0.661 | ||||||
| EM4 | 0.834 | 19.294 | 0.696 | ||||||
| EM5 | 0.784 | 17.235 | 0.615 | ||||||
| EM6 | 0.774 | 16.894 | 0.599 | ||||||
| EP1 | 0.859 | Fixed | 0.738 | ||||||
| EP2 | 0.875 | 20.484 | 0.766 | ||||||
| EP3 | 0.804 | 18.105 | 0.646 | ||||||
| EP4 | 0.828 | 19.09 | 0.686 | ||||||
| EP5 | 0.843 | 19.765 | 0.711 | ||||||
| EP6 | 0.885 | 21.799 | 0.783 | ||||||
| EP7 | 0.870 | 21.045 | 0.757 |
IR, intrinsic reward; EM, employee motivation; EP, employee performance.
Regression coefficients for a direct relationship of variables for testing hypotheses 1–3.
| Intrinsic reward → Employee performance | 0.46 | 0.056 | 9.17 | 0.000( |
| Intrinsic reward → Employee motivation | 0.50 | 0.058 | 10.13 | 0.000( |
| Employee motivation → Employee performance | 0.73 | 0.037 | 18.69 | 0.000( |
Significant at p < 0.01.
Comparison of the structural equation model.
| A. Hypothesized model | 330.27 | 168 | 1.966 | – | – | 0.968 | 0.972 | 0.057 |
| B. IR-EM-EP | 326.91 | 167 | 1.958 | 0.008 | 1 | 0.967 | 0.970 | 0.059 |
IR, intrinsic reward; EM, employee motivation; EP, employee performance; RMSEA, Root Mean Square Error of Approximation; TLI, Tucker–Lewis Index; CFI, Comparative Fit Index.
Figure 2Structural equation modeling mediation effects. Significant at ** p < 0.01; *** p < 0.001; NS, non-significant.
Results of bootstrapping for standardized direct, indirect, and total effects of the model.
| IR → EP | 0.067 | 0.040 | −0.004 | 0.154 | −0.013 | 0.148 | 0.10 |
| EM → EP | 0.379 | 0.107 | 0.185 | 0.589 | 0.163 | 0.552 | |
| IR → EM | 0.506 | 0.053 | 0.394 | 0.601 | 0.399 | 0.607 | |
| IR → EM → EP | 0.192 | 0.057 | 0.097 | 0.317 | 0.080 | 0.290 | |
| IR → EP | 0.259 | 0.072 | 0.135 | 0.406 | 0.108 | 0.386 | |
| EM → EP | 0.379 | 0.107 | 0.185 | 0.589 | 0.163 | 0.552 | |
| IR → EM | 0.506 | 0.053 | 0.394 | 0.601 | 0.399 | 0.607 | |
IR, intrinsic reward; EM, employee motivation; EP, employee performance; LLCI, lower level of confidence interval; ULCI, upper level of confidence interval. Sig:
p < 0.05,
p ≤ 0.01.