Year 2025,
Volume: 4 Issue: 2, 498 - 524, 25.07.2025
Zahra Hamdi
,
Fateme Ataei
,
Zahra Mohammadnazari
,
Fariborz Jolai
References
-
Ahmed, S., Irshad, L., Demirel, O., & Tumer, I. (2019). Comparison of Virtual Reality and Digital Human Modeling for Proactive Ergonomics Design and Performance Assessment during an Emergency Situation. Digital Human Modeling and Applications in Health, Safety. Ergonomics and Risk Management, 1-19.
-
Al-Refaie, A., Fouad, R. H., Li, M.-H., & Shurrab, M. (2014). Applying simulation and DEA to improve performance of emergency department in a Jordanian hospital. Simulation Modelling Practice and Theory, 41, 59-72.
-
Araujo, C. A. S., Wanke, P., & Siqueira, M. M. (2018). A performance analysis of Brazilian public health: TOPSIS and neural networks application. International Journal of Productivity and Performance Management, 67(9), 1526-1549.
-
Azadeh, A., Fam, I. M., Khoshnoud, M., & Nikafrouz, M. (2008). Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery. Information Sciences, 178(22), 4280-4300.
-
Azadeh, A., Gaeini, Z., Haghighi, S. M., & Nasirian, B. (2016). A unique adaptive neuro fuzzy inference system for optimum decision making process in a natural gas transmission unit. Journal of Natural Gas Science and Engineering, 34, 472-485.
-
Azadeh, A., Haghighi, S. M., Gaeini, Z., & Shabanpour, N. (2016). Optimization of healthcare supply chain in context of macro-ergonomics factors by a unique mathematical programming approach. Applied ergonomics, 55, 46-55.
-
Azadeh, A., Rouzbahman, M., Saberi, M., & Fam, I. M. (2011). An adaptive neural network algorithm for assessment and improvement of job satisfaction with respect to HSE and ergonomics program: the case of a gas refinery. Journal of Loss Prevention in the Process Industries, 24(4), 361-370.
-
Azadeh, A., Saberi, M., & Anvari, M. (2010). An integrated artificial neural network algorithm for performance assessment and optimization of decision making units. Expert systems with applications, 37(8), 5688-5697.
-
Azadeh, A., & Sheikhalishahi, M. (2015). An efficient taguchi approach for the performance optimization of health, safety, environment and ergonomics in generation companies. Safety and health at work, 6(2), 77-84.
-
Azadeh, A., Yazdanparast, R., Zadeh, S. A., & Keramati, A. (2018). An intelligent algorithm for optimizing emergency department job and patient satisfaction. International Journal of Health Care Quality Assurance.
-
Azadeh, A., & Zarrin, M. (2016). An intelligent framework for productivity assessment and analysis of human resource from resilience engineering, motivational factors, HSE and ergonomics perspectives. Safety Science, 89, 55-71.
-
Azadeh, M., Keramati, A., Mohammadfam, I., Bernal-Agustín, J., Contreras, J., & Martín-Flores, R. (2000). Enhancing the availability and reliability of power plants through macroergonomics approach. Renew Sustain Energy Rev, 11(4), 635-653.
-
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
-
Bojdani, E., Rajagopalan, A., Chen, A., Gearin, P., Olcott, W., Shankar, V., . . . Batty, N. (2020). COVID-19 pandemic: impact on psychiatric care in the United States. Psychiatry research, 289, 113069.
-
Byrne, A., Barber, R., & Lim, C. H. (2021). Impact of the COVID‐19 pandemic–a mental health service perspective. Progress in Neurology and Psychiatry, 25(2), 27-33b.
-
Carayon, P., Hundt, A. S., Karsh, B.-T., Gurses, A. P., Alvarado, C. J., Smith, M., & Brennan, P. F. (2006). Work system design for patient safety: the SEIPS model. BMJ Quality & Safety, 15(suppl 1), i50-i58.
-
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
-
Christy, D. V. (2019). Ergonomics and Employee Engagement. International Journal of Mechanical Engineering and Technology, 10(2), 105-109.
-
Colim, A., Morgado, R., Carneiro, P., Costa, N., Faria, C., Sousa, N., . . . Arezes, P. (2021). Lean manufacturing and ergonomics integration: Defining productivity and wellbeing indicators in a human–robot workstation. Sustainability, 13(4), 1931.
-
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
Cui, L.-B., Wang, X.-H., & Wang, H.-N. (2020). Challenges of facing coronavirus disease 2019: Psychiatric services for patients with mental disorders.
-
Da Costa, B. R., & Vieira, E. R. (2010). Risk factors for work‐related musculoskeletal disorders: a systematic review of recent longitudinal studies. American journal of industrial medicine, 53(3), 285-323.
-
Dennerlein, J. T., Burke, L., Sabbath, E. L., Williams, J. A., Peters, S. E., Wallace, L., . . . Sorensen, G. (2020). An integrative total worker health framework for keeping workers safe and healthy during the COVID-19 pandemic. Human factors, 62(5), 689-696.
-
Dörnyei, Z. (2007). Research methods in applied linguistics.
-
Faez, E., Zakerian, S. A., Azam, K., Hancock, K., & Rosecrance, J. (2021). An assessment of ergonomics climate and its association with self-reported pain, organizational performance and employee well-being. International Journal of Environmental Research and Public Health, 18(5), 2610.
-
Fan, Y., Kong, G., Meng, Y., Tan, S., Wei, K., Zhang, Q., & Jin, J. (2014). Comparative assessment of surgeons’ task performance and surgical ergonomics associated with conventional and modified flank positions: a simulation study. Surgical endoscopy, 28(11), 3249-3256.
-
Flores, J. A. (2011). Focus on artificial neural networks: Nova Science Publishers.
-
Han, D., Lee, J., Lee, J., & Yoo, H.-J. (2018). A low-power deep neural network online learning processor for real-time object tracking application. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(5), 1794-1804.
-
Henriques-Thompson, K. (2022). An Analysis of US Hospital Healthcare Worker Occupational Footwear: An Ergonomics Footwear Design Imperative.
-
Hollingsworth, B. (2008). The measurement of efficiency and productivity of health care delivery. Health economics, 17(10), 1107-1128.
-
Ikonne, C. N. (2014). Influence of workstation and work posture ergonomics on job satisfaction of librarians in the federal and state university libraries in Southern Nigeria. IOSR Journal Of Humanities And Social Science, 19(9), 78-84.
-
John, A. O., & Nwiabu, N. D. Model for Evaluating Hospital Management Performance using Artificial Neural Network.
-
Kahya, E., & Oral, N. (2018). Applicable performance criteria to evaluate clinical nurses. Hacettepe Sağlık İdaresi Dergisi, 21(2), 289-304.
-
Kazemzadeh, F., Ahmadi, Z., Mehri, F., Parsania, Z., Roghani Panoe, S., Alaei, S., & Kahouei, M. (2011). The survey of job injuries and mental health disorders among clinical nurses from ergonomics aspect. Research Journal of Medical Sciences, 5(5), 289-293.
-
Kumari, S., & Kaur, H. (2019). Ergonomic assessment of job satisfaction level among nurses of Ludhiana city. Journal of Pharmacognosy and Phytochemistry, 8(3), 2295-2298.
-
Kwon, O., Jung, K., You, H., & Kim, H.-E. (2009). Determination of key dimensions for a glove sizing system by analyzing the relationships between hand dimensions. Applied ergonomics, 40(4), 762-766.
-
Lim, S., & D'Souza, C. (2020). A narrative review on contemporary and emerging uses of inertial sensing in occupational ergonomics. International journal of industrial ergonomics, 76, 102937.
-
Lin, S., Rouse, P., Wang, Y.-M., Lin, L., & Zheng, Z.-Q. (2023). Performance measurement of nonhomogeneous Hong Kong hospitals using directional distance functions. Health Care Management Science, 1-14.
-
Lisboa, P. J. (2002). A review of evidence of health benefit from artificial neural networks in medical intervention. Neural networks, 15(1), 11-39.
-
Locke, E. A. (1976). The nature and causes of job satisfaction. Handbook of industrial and organizational psychology.
Lu, H., Barriball, K. L., Zhang, X., & While, A. E. (2012). Job satisfaction among hospital nurses revisited: a systematic review. International journal of nursing studies, 49(8), 1017-1038.
-
Mazzoni, C. F., Campos, M. V. G., Sirqueira, C. A. G., Krause, F., Kraker, H. d., Könemann, R., & Douwes, M. (2018). Developing a methodology for a participatory ergonomics evaluation process: Human performance and productivity cycle. Paper presented at the Congress of the International Ergonomics Association.
-
Norris, B., West, J., Anderson, O., Davey, G., & Brodie, A. (2014). Taking ergonomics to the bedside–A multi-disciplinary approach to designing safer healthcare. Applied ergonomics, 45(3), 629-638.
-
Pearce, M., Mutlu, B., Shah, J., & Radwin, R. (2018). Optimizing makespan and ergonomics in integrating collaborative robots into manufacturing processes. IEEE transactions on automation science and engineering, 15(4), 1772-1784.
-
Pillay, R. (2009). Work satisfaction of professional nurses in South Africa: a comparative analysis of the public and private sectors. Human resources for Health, 7, 1-10.
-
Rahman, M. A., Hossain, Z., & Khan, M. R. A. (2022). Ergonomics and Employee Satisfaction with Special Reference to Selected Branches of Rajshahi Krishi Unnayan Bank. Technium Business and Management, 2(1), 1-12.
-
Ramos-García, V. M., López-Leyva, J. A., Ramos-García, R. I., García-Ochoa, J. J., Ochoa-Vázquez, I., Guerrero-Ortega, P., . . . Verdugo-Miranda, S. (2022). Ergonomic Factors That Impact Job Satisfaction and Occupational Health during the SARS-CoV-2 Pandemic Based on a Structural Equation Model: A Cross-Sectional Exploratory Analysis of University Workers. International Journal of Environmental Research and Public Health, 19(17), 10714.
-
Read, J., Pfahringer, B., Holmes, G., & Frank, E. (2021). Classifier chains: A review and perspectives. Journal of Artificial Intelligence Research, 70, 683-718.
-
Rodríguez, Y., & Hignett, S. (2021). Integration of human factors/ergonomics in healthcare systems: A giant leap in safety as a key strategy during Covid‐19. Human Factors and Ergonomics in Manufacturing & Service Industries, 31(5), 570-576.
-
Rothmore, P., Aylward, P., & Karnon, J. (2014). Ergonomics and musculoskeletal injury prevention interventions in healthcare: are they worth it. Ergonomics Australia, 8(1), 1-5.
-
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1985). Learning internal representations by error propagation. Retrieved from
Saad, E., & Ebraheem, S. (2019). Ergonomics as Perceived by Staff Nurses and Its Relation to Their Job Satisfaction. Evidence-Based Nursing Research, 1(4), 97-108.
-
Salmon, P. M., Stevens, N., McLean, S., Hulme, A., & Read, G. J. (2021). Human Factors and Ergonomics and the management of existential threats: A work domain analysis of a COVID‐19 return from lockdown restrictions system. Human Factors and Ergonomics in Manufacturing & Service Industries, 31(4), 412-424.
-
Sapta, I., MUAFI, M., & SETINI, N. M. (2021). The role of technology, organizational culture, and job satisfaction in improving employee performance during the Covid-19 pandemic. The Journal of Asian Finance, Economics, and Business, 8(1), 495-505.
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Sarıhan, A. Y. (2024). Unravelling the Nexus Between Export Performance and Business Performance. Gaziantep Üniversitesi Sosyal Bilimler Dergisi, 23(1), 327-341.
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An integrated approach to evaluate the performance of psychiatric hospitals with the spotlight of ergonomics and job satisfaction
Year 2025,
Volume: 4 Issue: 2, 498 - 524, 25.07.2025
Zahra Hamdi
,
Fateme Ataei
,
Zahra Mohammadnazari
,
Fariborz Jolai
Abstract
This study examines the performance of psychiatric hospitals in response to Covid-19 pandemic. The fragility of mental health because of pandemic pressurized psychiatric hospitals more than ever. Data Envelopment Analysis (DEA) is applied as a method of performance measurement with the micro and macro ergonomics and job satisfaction indicators. In this manner, at first, we identified all the investigated sub-indices, then, after designing and distributing a standard questionnaire among the employees of psychiatric hospitals, we calculated the efficiency of the hospitals through the optimal DEA model. Accordingly, relying on the results of sensitivity analysis and statistical tests, we studied the impact of each indicator on the performance of hospitals and identified their strengths and weaknesses. Finally, we checked the validity of the optimal DEA model by comparing its results with the Multilayer Perception (MLP) network results that is most utilized type of artificial neural network (ANN) method.
References
-
Ahmed, S., Irshad, L., Demirel, O., & Tumer, I. (2019). Comparison of Virtual Reality and Digital Human Modeling for Proactive Ergonomics Design and Performance Assessment during an Emergency Situation. Digital Human Modeling and Applications in Health, Safety. Ergonomics and Risk Management, 1-19.
-
Al-Refaie, A., Fouad, R. H., Li, M.-H., & Shurrab, M. (2014). Applying simulation and DEA to improve performance of emergency department in a Jordanian hospital. Simulation Modelling Practice and Theory, 41, 59-72.
-
Araujo, C. A. S., Wanke, P., & Siqueira, M. M. (2018). A performance analysis of Brazilian public health: TOPSIS and neural networks application. International Journal of Productivity and Performance Management, 67(9), 1526-1549.
-
Azadeh, A., Fam, I. M., Khoshnoud, M., & Nikafrouz, M. (2008). Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery. Information Sciences, 178(22), 4280-4300.
-
Azadeh, A., Gaeini, Z., Haghighi, S. M., & Nasirian, B. (2016). A unique adaptive neuro fuzzy inference system for optimum decision making process in a natural gas transmission unit. Journal of Natural Gas Science and Engineering, 34, 472-485.
-
Azadeh, A., Haghighi, S. M., Gaeini, Z., & Shabanpour, N. (2016). Optimization of healthcare supply chain in context of macro-ergonomics factors by a unique mathematical programming approach. Applied ergonomics, 55, 46-55.
-
Azadeh, A., Rouzbahman, M., Saberi, M., & Fam, I. M. (2011). An adaptive neural network algorithm for assessment and improvement of job satisfaction with respect to HSE and ergonomics program: the case of a gas refinery. Journal of Loss Prevention in the Process Industries, 24(4), 361-370.
-
Azadeh, A., Saberi, M., & Anvari, M. (2010). An integrated artificial neural network algorithm for performance assessment and optimization of decision making units. Expert systems with applications, 37(8), 5688-5697.
-
Azadeh, A., & Sheikhalishahi, M. (2015). An efficient taguchi approach for the performance optimization of health, safety, environment and ergonomics in generation companies. Safety and health at work, 6(2), 77-84.
-
Azadeh, A., Yazdanparast, R., Zadeh, S. A., & Keramati, A. (2018). An intelligent algorithm for optimizing emergency department job and patient satisfaction. International Journal of Health Care Quality Assurance.
-
Azadeh, A., & Zarrin, M. (2016). An intelligent framework for productivity assessment and analysis of human resource from resilience engineering, motivational factors, HSE and ergonomics perspectives. Safety Science, 89, 55-71.
-
Azadeh, M., Keramati, A., Mohammadfam, I., Bernal-Agustín, J., Contreras, J., & Martín-Flores, R. (2000). Enhancing the availability and reliability of power plants through macroergonomics approach. Renew Sustain Energy Rev, 11(4), 635-653.
-
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
-
Bojdani, E., Rajagopalan, A., Chen, A., Gearin, P., Olcott, W., Shankar, V., . . . Batty, N. (2020). COVID-19 pandemic: impact on psychiatric care in the United States. Psychiatry research, 289, 113069.
-
Byrne, A., Barber, R., & Lim, C. H. (2021). Impact of the COVID‐19 pandemic–a mental health service perspective. Progress in Neurology and Psychiatry, 25(2), 27-33b.
-
Carayon, P., Hundt, A. S., Karsh, B.-T., Gurses, A. P., Alvarado, C. J., Smith, M., & Brennan, P. F. (2006). Work system design for patient safety: the SEIPS model. BMJ Quality & Safety, 15(suppl 1), i50-i58.
-
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
-
Christy, D. V. (2019). Ergonomics and Employee Engagement. International Journal of Mechanical Engineering and Technology, 10(2), 105-109.
-
Colim, A., Morgado, R., Carneiro, P., Costa, N., Faria, C., Sousa, N., . . . Arezes, P. (2021). Lean manufacturing and ergonomics integration: Defining productivity and wellbeing indicators in a human–robot workstation. Sustainability, 13(4), 1931.
-
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
Cui, L.-B., Wang, X.-H., & Wang, H.-N. (2020). Challenges of facing coronavirus disease 2019: Psychiatric services for patients with mental disorders.
-
Da Costa, B. R., & Vieira, E. R. (2010). Risk factors for work‐related musculoskeletal disorders: a systematic review of recent longitudinal studies. American journal of industrial medicine, 53(3), 285-323.
-
Dennerlein, J. T., Burke, L., Sabbath, E. L., Williams, J. A., Peters, S. E., Wallace, L., . . . Sorensen, G. (2020). An integrative total worker health framework for keeping workers safe and healthy during the COVID-19 pandemic. Human factors, 62(5), 689-696.
-
Dörnyei, Z. (2007). Research methods in applied linguistics.
-
Faez, E., Zakerian, S. A., Azam, K., Hancock, K., & Rosecrance, J. (2021). An assessment of ergonomics climate and its association with self-reported pain, organizational performance and employee well-being. International Journal of Environmental Research and Public Health, 18(5), 2610.
-
Fan, Y., Kong, G., Meng, Y., Tan, S., Wei, K., Zhang, Q., & Jin, J. (2014). Comparative assessment of surgeons’ task performance and surgical ergonomics associated with conventional and modified flank positions: a simulation study. Surgical endoscopy, 28(11), 3249-3256.
-
Flores, J. A. (2011). Focus on artificial neural networks: Nova Science Publishers.
-
Han, D., Lee, J., Lee, J., & Yoo, H.-J. (2018). A low-power deep neural network online learning processor for real-time object tracking application. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(5), 1794-1804.
-
Henriques-Thompson, K. (2022). An Analysis of US Hospital Healthcare Worker Occupational Footwear: An Ergonomics Footwear Design Imperative.
-
Hollingsworth, B. (2008). The measurement of efficiency and productivity of health care delivery. Health economics, 17(10), 1107-1128.
-
Ikonne, C. N. (2014). Influence of workstation and work posture ergonomics on job satisfaction of librarians in the federal and state university libraries in Southern Nigeria. IOSR Journal Of Humanities And Social Science, 19(9), 78-84.
-
John, A. O., & Nwiabu, N. D. Model for Evaluating Hospital Management Performance using Artificial Neural Network.
-
Kahya, E., & Oral, N. (2018). Applicable performance criteria to evaluate clinical nurses. Hacettepe Sağlık İdaresi Dergisi, 21(2), 289-304.
-
Kazemzadeh, F., Ahmadi, Z., Mehri, F., Parsania, Z., Roghani Panoe, S., Alaei, S., & Kahouei, M. (2011). The survey of job injuries and mental health disorders among clinical nurses from ergonomics aspect. Research Journal of Medical Sciences, 5(5), 289-293.
-
Kumari, S., & Kaur, H. (2019). Ergonomic assessment of job satisfaction level among nurses of Ludhiana city. Journal of Pharmacognosy and Phytochemistry, 8(3), 2295-2298.
-
Kwon, O., Jung, K., You, H., & Kim, H.-E. (2009). Determination of key dimensions for a glove sizing system by analyzing the relationships between hand dimensions. Applied ergonomics, 40(4), 762-766.
-
Lim, S., & D'Souza, C. (2020). A narrative review on contemporary and emerging uses of inertial sensing in occupational ergonomics. International journal of industrial ergonomics, 76, 102937.
-
Lin, S., Rouse, P., Wang, Y.-M., Lin, L., & Zheng, Z.-Q. (2023). Performance measurement of nonhomogeneous Hong Kong hospitals using directional distance functions. Health Care Management Science, 1-14.
-
Lisboa, P. J. (2002). A review of evidence of health benefit from artificial neural networks in medical intervention. Neural networks, 15(1), 11-39.
-
Locke, E. A. (1976). The nature and causes of job satisfaction. Handbook of industrial and organizational psychology.
Lu, H., Barriball, K. L., Zhang, X., & While, A. E. (2012). Job satisfaction among hospital nurses revisited: a systematic review. International journal of nursing studies, 49(8), 1017-1038.
-
Mazzoni, C. F., Campos, M. V. G., Sirqueira, C. A. G., Krause, F., Kraker, H. d., Könemann, R., & Douwes, M. (2018). Developing a methodology for a participatory ergonomics evaluation process: Human performance and productivity cycle. Paper presented at the Congress of the International Ergonomics Association.
-
Norris, B., West, J., Anderson, O., Davey, G., & Brodie, A. (2014). Taking ergonomics to the bedside–A multi-disciplinary approach to designing safer healthcare. Applied ergonomics, 45(3), 629-638.
-
Pearce, M., Mutlu, B., Shah, J., & Radwin, R. (2018). Optimizing makespan and ergonomics in integrating collaborative robots into manufacturing processes. IEEE transactions on automation science and engineering, 15(4), 1772-1784.
-
Pillay, R. (2009). Work satisfaction of professional nurses in South Africa: a comparative analysis of the public and private sectors. Human resources for Health, 7, 1-10.
-
Rahman, M. A., Hossain, Z., & Khan, M. R. A. (2022). Ergonomics and Employee Satisfaction with Special Reference to Selected Branches of Rajshahi Krishi Unnayan Bank. Technium Business and Management, 2(1), 1-12.
-
Ramos-García, V. M., López-Leyva, J. A., Ramos-García, R. I., García-Ochoa, J. J., Ochoa-Vázquez, I., Guerrero-Ortega, P., . . . Verdugo-Miranda, S. (2022). Ergonomic Factors That Impact Job Satisfaction and Occupational Health during the SARS-CoV-2 Pandemic Based on a Structural Equation Model: A Cross-Sectional Exploratory Analysis of University Workers. International Journal of Environmental Research and Public Health, 19(17), 10714.
-
Read, J., Pfahringer, B., Holmes, G., & Frank, E. (2021). Classifier chains: A review and perspectives. Journal of Artificial Intelligence Research, 70, 683-718.
-
Rodríguez, Y., & Hignett, S. (2021). Integration of human factors/ergonomics in healthcare systems: A giant leap in safety as a key strategy during Covid‐19. Human Factors and Ergonomics in Manufacturing & Service Industries, 31(5), 570-576.
-
Rothmore, P., Aylward, P., & Karnon, J. (2014). Ergonomics and musculoskeletal injury prevention interventions in healthcare: are they worth it. Ergonomics Australia, 8(1), 1-5.
-
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1985). Learning internal representations by error propagation. Retrieved from
Saad, E., & Ebraheem, S. (2019). Ergonomics as Perceived by Staff Nurses and Its Relation to Their Job Satisfaction. Evidence-Based Nursing Research, 1(4), 97-108.
-
Salmon, P. M., Stevens, N., McLean, S., Hulme, A., & Read, G. J. (2021). Human Factors and Ergonomics and the management of existential threats: A work domain analysis of a COVID‐19 return from lockdown restrictions system. Human Factors and Ergonomics in Manufacturing & Service Industries, 31(4), 412-424.
-
Sapta, I., MUAFI, M., & SETINI, N. M. (2021). The role of technology, organizational culture, and job satisfaction in improving employee performance during the Covid-19 pandemic. The Journal of Asian Finance, Economics, and Business, 8(1), 495-505.
-
Sarıhan, A. Y. (2024). Unravelling the Nexus Between Export Performance and Business Performance. Gaziantep Üniversitesi Sosyal Bilimler Dergisi, 23(1), 327-341.
-
Saul, M., & Rostami, S. (2022). Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets. Health Informatics Journal, 28(1), 14604582221087109.
-
Savulescu, C., & Polkowski, Z. (2017). An approach for systems identification using artificial inteligence. Paper presented at the 2017 9th international conference on Electronics, Computers and Artificial Intelligence (ECAI).
-
Shahzad, U. (2022). Artificial Neural Network For Transient Stability Assessment: A Review. arXiv preprint arXiv:2206.06800.
-
Solutions, S. (2016). Correlation. Pearson, Kendall, Spearman). Accessed October, 18, 2016.
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