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    Determining the Level of Organizational Commitment of Employees Based on Data Mining: The Case of Istanbul and Kocaeli
    (Bartin University, 2023) Ersen, Nadir; Bardak, Timuçin; Usta, Uğur Can
    In this study, it was tried to determine the organizational commitment levels of the employees in the enterprises producing timber, furniture, wood-based boards and plywood / veneer and whether their commitment levels differ according to demographic characteristics (gender, age, marital status, position, income, education, working time, sector). The universe of the research consists of employees in the enterprises producing timber, furniture, plywood/veneer, and wood-based boards in Istanbul and Kocaeli provinces. The survey forms were applied to 305 people, and 295 questionnaires were evaluated. Employees were surveyed face-to-face. SPSS packet program was used in the analysis of the data. At the same time, the relations between datasets were determined with Apriori, an essential algorithm in the field of data analysis. Using the WEKA software, which is widely preferred in scientific studies, 568 rules exceeding the 75% confidence level were determined. As a result of the study, the organizational commitment levels of the participants were found to be low. The commitment levels of the participants differ according to position, age, education, working time, and sector. In addition, according to the results of the Apriori algorithm, with a reliability rate of 97%, those who do not consider it ethical to switch from one business to another and those who say that they have been taught how valuable it is to remain loyal to a business are male employees. The findings of this study provide an essential perspective to understand the factors affecting the employees' personal commitment and sense of belonging. Data science can help take strategic action to develop and sustain employees' emotional commitment to the business.