Tag Archive for: Multiple Regression Analysis

This study aims to assess the South Korean work culture implemented at WITCON Co., Ltd., its impact on enhancing employee performance, and the extent of its influence. This form of research employs a blend of quantitative and qualitative methodologies, sometimes called mixed methods. WITCON Co., Ltd. is at 35 Seochangnamsunhwan-ro 215beon-gil, Namdong-gu, Incheon, Republic of Korea. The acquired data is primarily classed as independent and dependent variables. Work culture is an independent variable, meaning it can influence other variables.

On the other hand, employee performance is classified as a dependent variable, meaning other variables impact it. Both variables were measured using instruments in a questionnaire comprising multiple questions, which were subsequently employed to collect participant data. The poll was administered to the whole foreigner workers at WITCON, comprising 30 people with E-7 and E-9 visas. Hence, the approach employed to examine this study’s findings involves utilizing multiple regression analysis. Multiple linear regression is a regression model that incorporates multiple independent variables. Multiple linear regression analysis is conducted to ascertain the magnitude and direction of the independent variable’s impact on the dependent variable. Furthermore, a Sobel test is conducted to ascertain the statistical significance of the indirect influence of the independent variable on the dependent variable via the mediator variable in a mediation model. The findings indicate that South Korea’s work culture prioritizes the enforcement of discipline in order to attain objectives while still being adaptable and accepting.