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Modeling the Significance of Motivation on Job Satisfaction and Performance Among the Academicians: The Use of Hybrid Structural Equation Modeling-Artificial Neural Network Analysis.

ABSTRACT: The competition in higher education has increased, while lecturers are involved in multiple assignments that include teaching, research and publication, consultancy, and community services. The demanding nature of academia leads to excessive work load and stress among academicians in higher education. Notably, offering the right motivational mix could lead to job satisfaction and performance. The current study aims to demonstrate the effects of extrinsic and intrinsic motivational factors influencing job satisfaction and job performance among academicians working in Malaysian private higher educational institutions (PHEIs). Cross-sectional data were collected from the Malaysian PHEIs and the randomly selected 343 samples. The data analysis was performed with the dual analysis of partial least square structural equation modeling (PLS-SEM) and artificial neural network (ANN) analysis. As a result, it was found that financial rewards, promotion, performance appraisal, classroom environment, and code of conduct significantly predicted job satisfaction. The code of conduct, autonomy, and self-efficacy strongly influenced job performance. The relationship between job satisfaction and job performance was highly moderated by self-efficacy. It was suggested from the ANN analysis that the three prominent factors influencing job satisfaction are financial rewards, performance appraisal, and code of conduct. The analysis supported three significant factors influencing job performance: self-efficacy, performance appraisal, and code of conduct. The management of PHEIs should build the correct policies to transform job satisfaction into job performance. Self-efficacy plays an essential role in activating job performance. Other significant motivating factors that promote job satisfaction and performance, such as emotional intelligence, mindfulness, and other personal traits, should be included in future studies. In addition, future research could use a mixed-method or multi-respondent approach to investigate the important variables and their impact on lecturers' job satisfaction and performance.

SUBMITTER: Sinniah S

PROVIDER: S-EPMC9251502 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundLeadership is key to strengthening performance of Health Systems. Leadership styles are important organizational antecedents, especially in influencing employee's motivation, job satisfaction, and teamwork. There is limited research exploring this relationship among health workers in resource-limited settings such as Uganda. The aim of this study was to examine the relationship between transformational, transactional, and laissez-faire leadership styles and motivation, job satisfaction, and teamwork of health workers in Uganda.MethodWe conducted a cross-sectional study in 3 geographic regions of Uganda in November 2015, using self-administered questionnaires with 564 health workers from 228 health facilities. Data were collected on health workers' perception of leadership styles displayed by their facility leaders, their level of motivation, job satisfaction, and team work. Using Pearson correlation, relationships among variables were identified and associations of the components of leadership styles with motivation, job satisfaction, and teamwork was found using multivariable logistic regression.ResultsHealth workers in Uganda preferred leaders who were transformational (62%) compared with being transactional (42%) or laissez-faire (14%). Transformational leadership was positively correlated with motivation (r=0.32), job satisfaction (r=0.38), and team work (r=0.48), while transactional leadership was positively correlated with job satisfaction (r=0.21) and teamwork (r=0.18). Motivation was positively associated with leaders who displayed idealized influence-behavior (odds ratio [OR]=3.7; 95% CI, 1.33-10.48) and intellectual stimulation (OR=2.4; 95% CI, 1.13-5.15) but negatively associated with management by exception (OR=0.4; 95% CI, 0.19-0.82). Job satisfaction was positively associated with intellectual stimulation (OR=5.7; 95% CI, 1.83-17.79). Teamwork was positively associated with idealized influence-behavior (OR=1.07-8.57), idealized influence-attributed (OR=3.9; 95% CI, 1.24-12.36), and contingent reward (OR=5.6; 95% CI, 1.87-17.01).ConclusionTransformational styles had a positive impact on stimulating motivation, assuring job satisfaction, and consolidating teamwork among health workers compared with those who demonstrated transactional skills or laissez-faire styles.RecommendationSupporting transformational leadership skills development in health facility leaders could encourage health worker motivation, strengthen job satisfaction, and maintain cohesion among health workers for better service delivery.

Project description:Background:Poor job conditions and limited resources are reducing job satisfaction and motivation among nurses in low-income countries, which may affect the quality of services and attrition rates. The objective of this study was to examine job satisfaction, motivation and associated factors among nurses working in the public health facilities of Ethiopia, with the aim of improving performance and productivity in the health care system. Methods:The study employed a cross-sectional two-stage cluster sampling design. From a random sample of 125 health facilities, 424 nurses were randomly selected for face-to-face interviews in all regions of Ethiopia. Nurses responded to questions about their overall job satisfaction and job conditions, including items related to intrinsic and extrinsic motivation, using a 5-point Likert scale. Multilevel analysis was performed to adjust for different clustering effects. Satisfaction levels (percent of respondents who were satisfied) were calculated for individual items, and composite mean scores (range: 1-5) were calculated for motivational factors. Adjusted odds ratios were computed to examine the association of these factors with overall job satisfaction. Results:Overall, 60.8% of nurses expressed satisfaction with their job. Composite mean scores for intrinsic and extrinsic motivational factors were 3.5 and 3.0, respectively. Job satisfaction levels were significantly higher for female nurses (65.6%, p?=?0.04), those older than 29?years (67.8%, p?=?0.048) and had over 10?years work experiences (68.8%, p?=?0.007). Satisfaction with remuneration (AOR?=?2.04, 95% CI?=?1.36, 3.06), recognition (AOR?=?2.21; 95% CI?=?1.38, 3.53), professional advancement (AOR?=?1.54; 95% CI?=?1.06, 2.29), features of the work itself (AOR?=?1.65; 95% CI?=?1.20, 2.91) and nurses' work experiences from 5 to 10?years (AOR?=?0.37, 95% CI?=?0.17, 0.79) were significantly associated with overall job satisfaction after controlling for other predictors. Conclusions:The study findings are signals for the Ministry of Health to strengthen the human resource management system and practices to improve nurses' overall job satisfaction and motivation, especially among nurses with 5 to 10?years of experience on the job. Expanded recognition systems and opportunities for advancement are required to increase nurses' job satisfaction and motivation. Equitable salary and fringe benefits are also needed to reduce their dissatisfaction with the job.

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Modeling the Significance of Motivation on Job Satisfaction and Performance Among the Academicians: The Use of Hybrid Structural Equation Modeling-Artificial Neural Network Analysis.

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