International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/2381 2020 2020 Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan Shaturaev Jakhongir Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan Hakimova Muhabbat Center of the Engagement of International Ranking Agencies, Tashkent State University of Economics, Tashkent, Uzbekistan Kurbonov Khayrilla Department of Human Resource Management, Tashkent State University of Economics, Tashkent, Uzbekistan Salim Kholmuratov Center of the Engagement of International Ranking Agencies, Tashkent State University of Economics, Tashkent, Uzbekistan Rajabov Nazirjon Department of Innovative Education, Tashkent State University of Economics, Tashkent, Uzbekistan Fayzullaeva Nilufar Department of Human Resource Management, Tashkent State University of Economics, Tashkent, Uzbekistan Turabekov Farxod 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. 2024 2024 221 237 10.54216/IJNS.230218 https://www.americaspg.com/articleinfo/21/show/2381