A Two-Stage SEM—Artificial Neural Network Analysis of the Rewards Effects on Self Perceived Performance in Healthcare
Abstract
:1. Introduction
2. Literature Review and Hypotheses
2.1. Concerns about the Human Resource in the Health System
2.2. Factors That Affect Employee Motivation and Reward
2.3. Factors Affecting Employee Performance and the Effect of Motivation on Organizational Performance
3. Materials and Methods
4. Results
5. Discussion
6. Conclusions
6.1. Theoretical Implications
6.2. Managerial Implications
- Financial motivation is essential in healthcare, but when financial needs are met at a certain level, non-financial motivation can effectively influence the efforts of employees in order to achieve individual and organizational performances;
- To eliminate the sources of conflict and increase the motivation to achieve desirable performances, it is necessary that the reward package of healthcare employees be structured and managed based on the principles of equity;
- The efforts to achieve desirable performance depend on how is structured and managed the reward package for healthcare employees and settled a balance, based on individual needs, between financial and non-financial motivation.
6.3. Limitations and Further Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Major Issues | Questionnaire Items |
---|---|
Employee Reward Features | 1. The salary package is well structured (r_11.1). 2. The salary package is well managed by the management of the unit (r_11.2). 3. Employees receive appropriate and timely notifications and information on any changes that affect their salary packages (r_11.3). 4. Rewarding employees ensures equal rewards for the same type of work (r_11.4). 5. My colleague from another department with the same qualification receives a higher salary income than me (r_11.5). 6. Employees are well informed and involved in formulating, discussing, and implementing rewards policies (r_11.6). 7. I do not know what happens in terms of pay in the organization where I work (r_11.7). 8. Salary income is satisfactory concerning the work they submit (r_11.8). 9. I feel motivated by the financial rewards I receive (r_11.9). 10. Increasing the financial reward will motivate me to improve my future performance (r_11.10). 11. Financial rewards positively affect the work environment and the organizational climate (r_11.11). 12. The salary rewards are nationally competitive (r_11.12). 13. The salary rewards are internationally competitive (r_11.13). 14. I feel appreciated for my work and my achievements (r_11.14). 15. The hospital recognizes my contribution to organizational success and efficiency (r_11.15). 16. I believe that my job is essential for the success and effectiveness of the hospital (r_11.16). 17. The structure of the reward system improves employee motivation and organizational efficiency (r_11.17). 18. The salary income I receive motivates me to contribute to the success and effectiveness of the organization (r_11.18). 19. The hospital where I work is better than private medical centers (r_11.19). |
Effects of the appropriate reward policy on self-perceived performance | 1. Motivate employees to work better (irpp_12.1). 2. Improves employee punctuality at work and reduces employee absenteeism (irpp_12.2). 3. Improves the desire of employees to make additional guards (irpp_12.3). 4. Increase employees’ commitment to the organization, and therefore employees work harder and better (irpp_12.4). 5. Increases employees’ willingness to learn new skills and practice these skills in the workplace (irpp_12.5). 6. Creates a healthy work environment and improves employee health (irpp_12.6). 7. Create a perfect working relationship between management and employees to increase performance (irpp_12.7). 8. It makes employees feel appreciated and give everything they can (irpp_12.8). 9. Attracts and motivates qualified staff to work better (irpp_12.9). 10. Reward the employees involved for high efforts and performance (irpp_12.10). |
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General Rewards | Financial Motivation | Recognition | Equity | |
---|---|---|---|---|
Hunter, 2012 [24] | Chaudhry et al., 2011 [36] | Galletta et al., 2011 [46] | Henne and Locke, 1985 [40] | |
Concepts | Dickson et al., 2018 [30] | Baker, 2002 [58] | Fernet, 2013 [47] | Mondy, 2013 [39] |
Wilkinson, 2019 [45] | Pinto, 2011 [33] | Wilkinson, 2019 [45] | Torrington et al. 2017 [29] | |
Wilton, 2019 [25] | Wilkinson, 2019 [45] | Wilton, 2019 [25] | Wilton, 2019 [25] | |
Delery and Doty, 1996 [57] | Chaudhry et al., 2011 [36] | Paul and Anantharaman, 2003 [59] | Evan and Simmons (1969) [41] | |
Impact on performance | Choong et al., 2012 [37] | Judge et al., 2010 [49] | Lai and Chen, 2012 [19] | Ittner et al. (2003) [43] |
Yáñez-Araque et al., 2012 [53] | Visconti and Morea, 2020 [48] | Jankelová, 2021 [56] | Bao and Wu (2017) [42] |
Min | Max | Mean | Standard Deviation | Skewness | Kurtosis | |
---|---|---|---|---|---|---|
Gender | 1 | 2 | 1.71 | 0.455 | −0.970 | −1.092 |
Age | 2 | 5 | 3.50 | 0.881 | 0.131 | −0.653 |
Education | 1 | 5 | 2.57 | 1.001 | 0.423 | −0.047 |
Work seniority | 1 | 6 | 3.60 | 1.301 | −0.063 | −0.425 |
Organization seniority | 1 | 6 | 3.54 | 1.369 | −0.092 | −0.555 |
Department | 1 | 3 | 1.60 | 0.841 | 0.879 | −1.004 |
Job | 1 | 2 | 1.94 | 0.234 | −3.900 | 13.597 |
Staff Category | 1 | 4 | 2.97 | 1.142 | −0.725 | −0.927 |
Income | 1 | 7 | 3.51 | 1.879 | 0.794 | −0.945 |
Cronbach’s Alpha | rho_A | Composite Reliability | AVE | |
---|---|---|---|---|
Equity | 1 | 1 | 1 | 1 |
Establishment and management remuneration package | 0.857 | 0.857 | 0.933 | 0.875 |
Financial motivation | 0.877 | 0.88 | 0.907 | 0.621 |
Impact of rewards on performance | 0.951 | 0.958 | 0.961 | 0.803 |
Recognition | 0.755 | 0.769 | 0.89 | 0.802 |
Path Coefficients | T-Statistics | p-Values | |
---|---|---|---|
Recognition −> Impact of rewards on performance (H1) | −0.210 | 0.825 | 0.410 |
Financial motivation −> Impact of rewards on performance (H1) | 0.549 | 2.214 | 0.027 |
Establishment and management remuneration package −> Recognition (H3) | 0.509 | 4.457 | 0.000 |
Establishment and management remuneration package −> Financial motivation (H3) | 0.708 | 10.224 | 0.000 |
Equity −> Financial motivation (H2) | 0.134 | 2.539 | 0.011 |
Equity −> Establishment and management remuneration package (H2) | 0.556 | 5.053 | 0.000 |
Staff Category | Total | |||||
---|---|---|---|---|---|---|
Auxiliary Staff | Laborants, Pharmacists | Nurses | Doctors | |||
1 | Count | 0 | 0 | 0 | 4 | 4 |
% within staff category | 0.0% | 0.0% | 0.0% | 3.2% | 1.4% | |
% of Total | 0.0% | 0.0% | 0.0% | 1.4% | 1.4% | |
2 | Count | 0 | 0 | 0 | 24 | 24 |
% within staff category | 0.0% | 0.0% | 0.0% | 19.4% | 8.6% | |
% of Total | 0.0% | 0.0% | 0.0% | 8.6% | 8.6% | |
3 | Count | 20 | 4 | 0 | 32 | 56 |
% within staff category | 38.5% | 14.3% | 0.0% | 25.8% | 20.0% | |
% of Total | 7.1% | 1.4% | 0.0% | 11.4% | 20.0% | |
4 | Count | 20 | 12 | 36 | 52 | 120 |
% within staff category | 38.5% | 42.9% | 47.4% | 41.9% | 42.9% | |
% of Total | 7.1% | 4.3% | 12.9% | 18.6% | 42.9% | |
5 | Count | 12 | 12 | 40 | 12 | 76 |
% within staff category | 23.1% | 42.9% | 52.6% | 9.7% | 27.1% | |
% of Total | 4.3% | 4.3% | 14.3% | 4.3% | 27.1% | |
Total | Count | 52 | 28 | 76 | 124 | 280 |
% within staff category | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | |
% of Total | 18.6% | 10.0% | 27.1% | 44.3% | 100.0% |
Path Coefficients | T-Statistics | p-Values | |
---|---|---|---|
Equity -> Financial motivation (H2) | 0.394 | 4.425 | 0.000 |
Equity -> Impact of rewards on performance | 0.156 | 2.464 | 0.014 |
Equity -> Recognition | 0.283 | 3.172 | 0.002 |
Establishment and management compensation package -> Impact of rewards on performance | 0.281 | 3.104 | 0.002 |
Parameter | B | Std. Error | t | Sig. | Partial Eta Squared |
---|---|---|---|---|---|
Intercept | −0.577 | 0.364 | −1.584 | 0.114 | 0.009 |
Recognition | 0.269 | 0.079 | 3.405 | 0.001 | 0.040 |
Equity | 0.631 | 0.080 | 7.907 | 0.000 | 0.185 |
Financial motivation | 0.286 | 0.089 | 3.212 | 0.001 | 0.036 |
Predictor | Predicted | ||
---|---|---|---|
Hidden Layer 1 | Output Layer | ||
H(1:1) | IRPP | ||
Input Layer | (Bias) | −0.222 | |
EMCP | 1.239 | ||
Financial motivation | 1.523 | ||
Recognition | 0.927 | ||
Hidden Layer 1 | (Bias) | 0.737 | |
H(1:1) | 1.731 |
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Bocean, C.G.; Rotea, C.C.; Vărzaru, A.A.; Ploscaru, A.-N.; Rotea, C.-Ș. A Two-Stage SEM—Artificial Neural Network Analysis of the Rewards Effects on Self Perceived Performance in Healthcare. Int. J. Environ. Res. Public Health 2021, 18, 12387. https://doi.org/10.3390/ijerph182312387
Bocean CG, Rotea CC, Vărzaru AA, Ploscaru A-N, Rotea C-Ș. A Two-Stage SEM—Artificial Neural Network Analysis of the Rewards Effects on Self Perceived Performance in Healthcare. International Journal of Environmental Research and Public Health. 2021; 18(23):12387. https://doi.org/10.3390/ijerph182312387
Chicago/Turabian StyleBocean, Claudiu George, Cristina Claudia Rotea, Anca Antoaneta Vărzaru, Andra-Nicoleta Ploscaru, and Cătălin-Ștefan Rotea. 2021. "A Two-Stage SEM—Artificial Neural Network Analysis of the Rewards Effects on Self Perceived Performance in Healthcare" International Journal of Environmental Research and Public Health 18, no. 23: 12387. https://doi.org/10.3390/ijerph182312387
APA StyleBocean, C. G., Rotea, C. C., Vărzaru, A. A., Ploscaru, A. -N., & Rotea, C. -Ș. (2021). A Two-Stage SEM—Artificial Neural Network Analysis of the Rewards Effects on Self Perceived Performance in Healthcare. International Journal of Environmental Research and Public Health, 18(23), 12387. https://doi.org/10.3390/ijerph182312387