İş Güvencesi Memnuniyeti ve Çeşitli Değişkenlerin İşten Ayrılma Niyetine Etkilerinin Lojistik Regresyon Analizi İle İncelenmesi
Examining The Effects of Job Security Satisfaction and Various Variables on intent to Leave With Logistics Regression Analysis

Summary/Abstract: Purpose – The purpose of the study is to examine the effects of job security satisfaction and various variables on intent to leave in the context of hotel businesses and to test the hypothesis of the study in the light of these data. Design/methodology/approach – In line with the purpose of the study, a model was proposed to test whether job security satisfaction, organizational commitment, job satisfaction, job stress, age, gender, marital status, education status, department worked, monthly income, manner of work, position held, working hours and duration of employment significantly predicted the intention to leave. This proposed model was tested with binary logistic regression analysis. The dependent variable in the model is the intention to leave, and the independent variables are job security satisfaction, organizational commitment, job satisfaction, job stress, age, gender, marital status, education status, department worked, monthly income, manner of work, position held, working hours and duration of employment. The universe of the research consists of employees in five-star hotel businesses in Kundu town of Antalya. In calculating the sample size, the sampling table suggested by Yazıcıoğlu and Erdoğan (2004: 50) was used. In the table in question, it was stated that the sample size should be 384 if the universe volume was 100 million, with a significance level of 0.05 and an error rate of ± 0.05, and 477 people were included in the scope of the study. A questionnaire consisting of six parts was used in the study as data collection method. In order to fill in the questionnaires, most of the 25 hotel businesses in Kundu town of Antalya province were visited in the summer season of 2015. The data obtained from 477 valid questionnaires were analyzed using binary logistic regression analysis in statistical package program. Findings – The result of binary logistic regression analysis conducted in order to test the main hypothesis of the study suggests that female and single employees have much higher levels of intention to leave while married employees graduated from primary school who are committed to their organization, satisfied in terms of job security with high job satisfaction and income at the level of 0-1000 TL have low levels of intention to leave. Discussion – Today, there are major economic bottlenecks on a global scale. In these troubled days, institutions prefer to either lock their doors or shrink in order to continue their lives. Unfortunately, many employees face the risk of being unemployed in this process and their job security satisfaction decreases.

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