The perception of self-esteem and self-efficacy as transforming factors in the sources of role stress and job satisfaction relationship of employees: A trial of a staged model based on the artificial neural network method

Zorlu, Kürşad

doi:10.5897/ajbm11.2345

Cited by 7 publications

(3 citation statements)

References 74 publications

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“…The results of previous experiments support the opinion that the strategy of combining different methods (physical surface tension theory and artificial neural networks) may improve predictive performance. Similar strategies have been applied previously to work safety and health classification problems, for work stress, psychosocial factor, and mental stress factor prediction (Jackofsky, Ferris & Breckenridge, 1986;Somers, 1999;Zorlu, 2012;Sriramprakash, Prasanna & Murthy, 2017;Subhani et al, 2017;Xia, Malik & Subhani, 2018;Lotfan et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers

Navarro

Castrillón

Osorio

et al. 2021

PeerJ Computer Science

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Background Psychosocial risks, also present in educational processes, are stress factors particularly critical in state-schools, affecting the efficacy, stress, and job satisfaction of the teachers. This study proposes an intelligent algorithm to improve the prediction of psychosocial risk, as a tool for the generation of health and risk prevention assistance programs. Methods The proposed approach, Physical Surface Tension-Neural Net (PST-NN), applied the theory of superficial tension in liquids to an artificial neural network (ANN), in order to model four risk levels (low, medium, high and very high psychosocial risk). The model was trained and tested using the results of tests for measurement of the psychosocial risk levels of 5,443 teachers. Psychosocial, and also physiological and musculoskeletal symptoms, factors were included as inputs of the model. The classification efficiency of the PST-NN approach was evaluated by using the sensitivity, specificity, accuracy and ROC curve metrics, and compared against other techniques as the Decision Tree model, Naïve Bayes, ANN, Support Vector Machines, Robust Linear Regression and the Logistic Regression Model. Results The modification of the ANN model, by the adaptation of a layer that includes concepts related to the theory of physical surface tension, improved the separation of the subjects according to the risk level group, as a function of the mass and perimeter outputs. Indeed, the PST-NN model showed better performance to classify psychosocial risk level on state-school teachers than the linear, probabilistic and logistic models included in this study, obtaining an average accuracy value of 97.31%. Conclusions The introduction of physical models, such as the physical surface tension, can improve the classification performance of ANN. Particularly, the PST-NN model can be used to predict and classify psychosocial risk levels among state-school teachers at work. This model could help to early identification of psychosocial risk and to the development of programs to prevent it.

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Section: Discussionmentioning

confidence: 99%

Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers

Navarro

Castrillón

Osorio

et al. 2021

PeerJ Computer Science

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“…Stress is a trigger for some managerial and organizational problems. The issue that must be prioritized is how to eliminate sources of stress (Zorlu, 2012). Robbins & Judge (2013), describe stress as a dynamic condition in which individuals are faced with opportunities, demands, and resources related to individual desires, where the results are felt to be doubtful and important.…”

Section: Methodsmentioning

confidence: 99%

Effect of auditor's role conflict on auditor’s stress with core self-evaluations as moderators

Putra

Sudana

2019

irjmis

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The purpose of this study was to provide empirical evidence of the effect of core self-evaluations on the relationship between auditor's role conflict and auditor’s stress. 82 auditors who work in a Public Accountant Office registered in the Province of Bali are used as a population by using purposive sampling in accordance with established criteria. The data analysis technique used was moderated regression analysis. The results showed that auditor’s role conflict had a positive effect on auditor’s stress and showed that core self-evaluations weakened the influence of auditor’s role conflict on auditor’s stress. The results of this study can be taken into consideration for the Public Accountant Firm to use personality tests in the auditor's career selection and development process and provide empirical evidence for the model of stress theory.

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“…The study used an adapted modified survey questionnaire from five related studies. Part 1 includes employee conflict indicators comprising work-family and family-work types of conflict (Mansour & Tremblay, 2016), part 2 consists employee technostress indicators including techno-pile, techno-invasion, and techno-complexity (Farid et al, 2021), part 3 consists of employee performance indicators referring to work quality, work target, and speed (Marasigan, 2020), part 4 consists job satisfaction indicators such as salary, supervision, and promotion (Zorlu, 2012), and part 5 consists of single-item questions for the control variables regarding job demand and job control (Chandra et al, 2015). The questionnaire was carefully modified for the present study.…”

Section: Research Instrumentmentioning

confidence: 99%

Effects of conflicts and technostress on employees’ job performance and satisfaction in a work-from-home scheme

Canlas,

Padua

2024

IJAIR

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This study investigated the work-from-home (WFH) experiences of 211 customer and service representatives, along with five team leaders, employed in the five top-ranking Business Process Outsourcing (BPO) companies in Pampanga, Philippines. It examined the effects of conflicts and technostress on the employee job performance and satisfaction. The study revealed that while quantitative analysis shows that family-work conflict has a negative effect on the job performance, qualitative data suggests that the WFH scheme permits BPO employees to balance their work and family obligations, despite statistical evidence of the opposing results. While quantitative results indicate that technostress, specifically techno-pile and techno-invasion, has a negative effect on job performance and satisfaction, qualitative findings emphasize the importance of computer know-how as well as other factors when measuring BPO employees’ job satisfaction. The divergent findings between quantitative and qualitative data underscore the role of cultural, organizational, and contextual factors in shaping outcomes in WFH environments. This study underlines the difficulties of WFH relations, as well as the importance of employing a diversified approach to identifying and addressing the issues that WFH BPO employees confront. The findings of this research are vital for developing tailored interventions and shaping effective remote work policies in the BPO sector, aiming to mitigate challenges and enhance the overall WFH experience.

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The perception of self-esteem and self-efficacy as transforming factors in the sources of role stress and job satisfaction relationship of employees: A trial of a staged model based on the artificial neural network method

Cited by 7 publications

References 74 publications

Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers

Improving classification based on physical surface tension-neural net for the prediction of psychosocial-risk level in public school teachers

Effect of auditor's role conflict on auditor’s stress with core self-evaluations as moderators

Effects of conflicts and technostress on employees’ job performance and satisfaction in a work-from-home scheme

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