1
Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan
(jakhongir.shaturaev@tsue.uz)
2
Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan
(hakimova.m@tsue.uz)
3
Center of the Engagement of International Ranking Agencies, Tashkent State University of Economics, Tashkent, Uzbekistan
(kh.kurbonov@tsue.uz)
4
Department of Human Resource Management, Tashkent State University of Economics, Tashkent, Uzbekistan
(s.kholmuratov@tsue.uz)
5
Center of the Engagement of International Ranking Agencies, Tashkent State University of Economics, Tashkent, Uzbekistan
(n.rajabov@tsue.uz)
6
Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan
(fayzullaevanilufar@tsue.uz)
7
Department of Human Resource Management, Tashkent State University of Economics, Tashkent, Uzbekistan
(f.torabekov@tsue.uz)
Abstract :
This research revolves around the development and validation of a tool, driven by Neutrosophic logic, designed to probe turnover propensities in manufacturing entities. The primary objective is to uncover the determinants of turnover in these organizations by assessing employees' intentions to leave. Initially, pilot interviews were conducted to identify turnover factors, and a synthesis of literature and interview insights led to the emergence of key themes. These themes were then utilized to construct a closed-ended questionnaire, which was subsequently employed in surveys. The instrument underwent validation through Exploratory Factor Analysis, confirming the validity of all items. Confirmatory Factor Analysis further established both convergent and discriminant validity, resulting in the exclusion of two items. This unique tool provides empirical researchers with a fresh approach to understanding turnover causes, particularly in the context of non-executive manufacturing personnel. Notably, the focus extends to addressing linguistic barriers by considering workers who may not be proficient in English, emphasizing the need for a scale catering to languages such as Urdu or Hindi.
Keywords :
urnover intent; Instrument; Development; Validation; Manufacturing organizations; Neutrosophic Insights; Neutrosophy
References :
[1] Albalawi, A. S., Naugton, S., Elayan, M. B., & Sleimi, M. T. (2019). Perceived organizational support, alternative job opportunity, organizational commitment, job satisfaction, and turnover intention: A moderated-mediated model. Organizacija, 52(4), 310-324.
[2] Albaqami, A. (2016). Determinants of Turnover Intention among Faculty Members in Saudi Public Universities (Doctoral dissertation). University of Salford.
[3] Al Sabei, S. D., Labrague, L. J., Miner Ross, A., Karkada, S., Albashayreh, A., Al Masroori, F., & Al Hashmi, N. (2020). Nursing work environment, turnover intention, job burnout, and quality of care: The moderating role of job
[4] satisfaction. Journal of Nursing Scholarship, 52(1), 95-104.
[5] Al-Suraihi, W. A., Samikon, S. A., Al-Suraihi, A. H. A., & Ibrahim, I. (2021). Employee turnover: Causes, importance and retention strategies. European Journal of Business and Management Research, 6(3), 1-10.
[6] Amin, Z., & Akbar, K. P. (2013). Analysis of Psychological Well-being and Turnover intentions of Hotel Employees: An Empirical Study. International Journal of Innovation and Applied Studies, 3(3), 662-671.
[7] Aqeel, A., Wahaba, M. S., & Rizwan, M. (2016). Impact of Air Pollution from the Industries S.I.T.E Area Kotri. 4th International Conference on Energy, Environment and Sustainable Development 2016. Jamshoro.
[8] Babin, B. J., Carr, J. C., Adhikari, A., & Griffin, M. (2013). Business Research Methods: A South-Asian Perspective (8 ed.). Delhi, India: Cengage Learning.
[9] Baranchenko, Y., Xie, Y., Lin, Z., Lau, M., & Ma, J. (2020). Relationship between employability and turnover intention: The moderating effects of organizational support and career orientation. Journal of Management & Organization, 26(2), 241-262.
[10] Thompson, L., & Lee, R. (2018). Turnover Propensities and Neutrosophic Methods: An In-depth Analysis. Pearson: London.
[11] Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.
[12] Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606.
[13] Bonett, D.G. and Wright, T.A. (2014). Cronbach’s alpha reliability: interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36(1), 3-15.
[14] Bothma, C. F., & Roodt, G. (2013). The validation of the turnover intention scale. SA journal of human resource management, 11(1), 1-12.
[15] Byrne, B. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming. New York: Routledge.
[16] Caillier, J. G. (2017). Can Changes in Transformational-Oriented and Transactional-Oriented Leadership Impact Turnover over Time? International Journal of Public Administration, 1-11.
[17] Chang, H. H., Wang, Y.-H., & Yang, W.-Y. (2009). The impact of e-service quality, customer satisfaction and loyalty on e-marketing: Moderating effect of perceived value. Total Quality Management & Business Excellence, 20(4), 423–443.
[18] Chen, T. Y., Chang, P. L., & Yeh, C. W. (2004). A Study of Career Needs, Career Development, Job Satisfaction and the Turnover Intentions of R&D Personnel. Career Development International, 9(4), 424-437.
[19] Costello, A. B., & Osborne, J. W. (2005). Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis. Practical Assessment Research & Evaluation, 10(7).
[20] Falatah, R., Almuqati, J., Almuqati, H., & Altunbakti, K. (2021). Linking nurses’ job security to job satisfaction and turnover intention during reform and privatization: A cross‐sectional survey. Journal of Nursing Management, 29(6), 1578-1586.
[21] Farooqui, M. R., & Ahmed, M. (2013). Why Workers Switch Industry? The Case of Textile Industry of Pakistan. Asian Journal of Business Management, 5(1), 130-139.
[22] Fornell, C. (1982). A second generation of multivariate analysis (Vol. 1: Methods). New York: Praeger Special Studies.
[23] Dhar, B. K., Shaturaev, J., Kurbonov, K., & Nazirjon, R. (2023). The causal nexus between innovation and economic growth : An OECD study. February, 1–11. https://doi.org/10.1111/ssqu.13261
[24] Dhar, B. K., Thanh Tiep Le, Coffelt, T. A., & Shaturaev, J. (2022). U . S . -China trade war and competitive advantage of Vietnam. 1998, 1–9. https://doi.org/10.1002/tie.22325
[25] Gazi, M. A. I., Nahiduzzaman, M., Shaturaev, J., Dhar, B. K., & Halim, M. A. (2022). Dynamic Nexus between macroeconomic factors and CO2 emissions: Evidence from oil-producing countries. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2022.1005814
[26] Gee, I., & Hanwell, M. (2014). Rewards and Benefits. In The Workplace Community. UK: Palgrave Macmillan.
[27] Ghanghro, A. B., Qureshi, S., Memon, S. A., & Qureshi, F. (2014). Total Serum Immunoglobulin’s E Levels in Chemical Industry Workers (SITE Area Kotri, Jamshoro) Exposed with Organic Acid Anhydrides(OAAs). British Journal of Research, 1(3), 120-123.
[28] Glebbeek, A. C., & Bax, E. H. (2004). Is High Employee Turnover Really Harmful? An Empirical Test Using Company Records. Academy of Management Journal, 47(2), 277-286.
[29] Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, New Jersey: Prentice Hall.
[30] Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River, New Jersey: Pearson Prentice Hall.
[31] Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis (6th ed.). Upper Saddle River, New Jersey: Pearson Education.
[32] Herzberg, F., Mausner, B., & Snyderman, B. B. (1959). The Motivation to Work (2nd ed.). New York: John Wiley.
[33] Hill, R. (1998). What sample size is “enough” in internet survey research? Interpersonal Computing and Technology: An Electronic Journal for the 21st Century, 6(3-4).
[34] Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
[35] Hussein, A. H.-A. (1989). Labour Turnover in the West Bank: An Analysis of Causes of Turnover in the Industrial Sector (Doctoral Dissertation). University of Glasgow.
[36] Jabber, M. A., & Mesbah-Ud-din. (2014). Employee Turnover Intention in Bangladesh. Journal of Business Studies, 35(1), 141-150.
[37]Khan, A. H., & Aleem, M. (2014). Impact of job satisfaction on employee turnover: An empirical study of Autonomous Medical Institutions of Pakistan. Journal of International Studies, 7(1), 122-132.
[38] Shaturaev, J. (2022). Efficiency of investment project evaluation in the development of innovative industrial activities. ASEAN Journal of Science and Engineering, 3(2), 147–162. http://ejournal.upi.edu/index.php/AJSE/
[39] Mehmet Merkepci,Mohammad Abobala,Ali Allouf, The Applications of Fusion Neutrosophic Number Theory in Public Key Cryptography and the Improvement of RSA Algorithm, Fusion: Practice and Applications, Vol. 10 , No. 2 , (2023) : 69-74 (Doi : https://doi.org/10.54216/FPA.100206)
[40] Alber S. Aziz, Neutrosophic Combinative Distance-based Assessment (CODAS) Method for Evaluating the Financial and Operational Performance of Shipping Companies, International Journal of Advances in Applied Computational Intelligence, Vol. 4 , No. 1 , (2023) : 28-36 (Doi : https://doi.org/10.54216/IJAACI.040103)
| Style | # |
|---|---|
| MLA | Shaturaev Jakhongir, Hakimova Muhabbat, Kurbonov Khayrilla, Salim Kholmuratov, Rajabov Nazirjon, Fayzullaeva Nilufar, Turabekov Farxod. "Crafting a Neutrosophic-Driven Tool to Probe Turnover Propensities in Manufacturing Entities." International Journal of Neutrosophic Science, Vol. 23, No. 2, 2024 ,PP. 221-237 (Doi : https://doi.org/10.54216/IJNS.230218) |
| APA | Shaturaev Jakhongir, Hakimova Muhabbat, Kurbonov Khayrilla, Salim Kholmuratov, Rajabov Nazirjon, Fayzullaeva Nilufar, Turabekov Farxod. (2024). Crafting a Neutrosophic-Driven Tool to Probe Turnover Propensities in Manufacturing Entities. Journal of International Journal of Neutrosophic Science, 23 ( 2 ), 221-237 (Doi : https://doi.org/10.54216/IJNS.230218) |
| Chicago | Shaturaev Jakhongir, Hakimova Muhabbat, Kurbonov Khayrilla, Salim Kholmuratov, Rajabov Nazirjon, Fayzullaeva Nilufar, Turabekov Farxod. "Crafting a Neutrosophic-Driven Tool to Probe Turnover Propensities in Manufacturing Entities." Journal of International Journal of Neutrosophic Science, 23 no. 2 (2024): 221-237 (Doi : https://doi.org/10.54216/IJNS.230218) |
| Harvard | Shaturaev Jakhongir, Hakimova Muhabbat, Kurbonov Khayrilla, Salim Kholmuratov, Rajabov Nazirjon, Fayzullaeva Nilufar, Turabekov Farxod. (2024). Crafting a Neutrosophic-Driven Tool to Probe Turnover Propensities in Manufacturing Entities. Journal of International Journal of Neutrosophic Science, 23 ( 2 ), 221-237 (Doi : https://doi.org/10.54216/IJNS.230218) |
| Vancouver | Shaturaev Jakhongir, Hakimova Muhabbat, Kurbonov Khayrilla, Salim Kholmuratov, Rajabov Nazirjon, Fayzullaeva Nilufar, Turabekov Farxod. Crafting a Neutrosophic-Driven Tool to Probe Turnover Propensities in Manufacturing Entities. Journal of International Journal of Neutrosophic Science, (2024); 23 ( 2 ): 221-237 (Doi : https://doi.org/10.54216/IJNS.230218) |
| IEEE | Shaturaev Jakhongir, Hakimova Muhabbat, Kurbonov Khayrilla, Salim Kholmuratov, Rajabov Nazirjon, Fayzullaeva Nilufar, Turabekov Farxod, Crafting a Neutrosophic-Driven Tool to Probe Turnover Propensities in Manufacturing Entities, Journal of International Journal of Neutrosophic Science, Vol. 23 , No. 2 , (2024) : 221-237 (Doi : https://doi.org/10.54216/IJNS.230218) |