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http://dx.doi.org/10.9709/JKSS.2014.23.1.021

A Study of The Determinants of Turnover Intention and Organizational Commitment by Data Mining  

Choi, Young Joon (한양대학교 일반대학원 전략경영학과)
Shim, Won Shul (한양대학교 일반대학원 전략경영학과)
Baek, Seung Hyun (한양대학교 일반대학원 전략경영학과)
Publication Information
Journal of the Korea Society for Simulation / v.23, no.1, 2014 , pp. 21-31 More about this Journal
Abstract
In this article, data mining simulation is applied to find a proper approach and results of analysis for study of variables related to organization. Also, turnover intention and organizational commitment are used as target (dependent) variables in this simulation. Classification and regression tree (CART) with ensemble methods are used in this study for simulation. Human capital corporate panel data of Korea Research Institute for Vocation Education & Training (KRIVET) is used. The panel data is collected in 2005, 2007, and 2009. Organizational commitment variables are analyzed with combined measure variables which are created after investigation of reliability and single dimensionality for multiple-item measurement details. The results of this study are as follows. First, major determinants of turnover intention are trust, communication, and talent management-oriented trend. Second, the main determining factors for organizational commitment are trust, the number of years worked, innovation, communication. CART with ensemble methods has two ensemble CART methods which are CART with Bagging and CART with Arcing. Comparing two methods, CART with Arcing (Arc-x4) extracted scenarios with very high coefficients of determination. In this study, a scenario with maximum coefficient of determinant and minimum error is obtained and practical implications are presented. Using one of data mining methods, CART with ensemble method. Also, the limitation and future research are discussed.
Keywords
Organizational commitment; Turnover intention; Data mining; CART; Ensemble;
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Times Cited By KSCI : 1  (Citation Analysis)
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