• 한국컴퓨터정보학회논문지
• /
• 제24권6호
• /
• pp.29-35
• /
• 2019

In this paper, the effects of educational contents on job behavior, the effects of job behavior on job effectiveness and the effects of educational contents on job effectiveness were studied when working in the Software field. For this purpose, a questionnaire survey was conducted on the learning workers who conducted the training in the IT field, and 302 valid questionnaires were used for the analysis. The research model was set up to test exploratory factor and confirmatory factor analysis and hypothesis, and the research hypothesis was tested by applying structural equation. The effects of job behavior on job effectiveness were positively related to job satisfaction, customer orientation, and organizational commitment.

• Asian Journal for Public Opinion Research
• /
• 제7권2호
• /
• pp.113-140
• /
• 2019

Experiencing work as a calling has been associated with various positive work-related attitudes and outcomes. Recent studies have examined personal and contextual factors related to job calling; however, gaps remain in the literature on how employees' perception of organizational environment may lead to the formation of employees' job calling. We focused on psychological climate of innovation as the predictor of employees' job calling and further investigated its effect on extra-role behaviors, including innovative work behavior (IWB) and organizational citizenship behavior (OCB). A total of 165 Malaysian employees from diverse industries and organizations participated in a self-reported online questionnaire. We found support for the mediation model in which the association between a psychological climate of innovation and increased extra-role behaviors through increased job calling. Altogether, these findings provided new insights into the important role of innovative climate on employees' job calling and the mediating role of job calling on extra-role behaviors within occupational settings. Theoretical and practical implications are further discussed.

• 치위생과학회지
• /
• 제12권3호
• /
• pp.271-277
• /
• 2012

본 연구는 구조방정식을 이용한 치과위생사의 전문직업성, 자기효능감이 직무만족에 미치는 영향을 파악하고자 616명을 대상으로 설문조사 하였으며, SPSSWIN 18.0과 AMOS 20 통계프로그램을 이용하여 분석한 결과 다음과 같은 결론을 얻었다. 1. 치과위생사의 전문직업성은 3.34점, 자기효능감 3.76점, 직무만족도 3.36점으로 나타났다. 2. 연령이 많을수록, 교육정도가 높을수록, 기혼인 경우, 근무경력이 많을수록 전문직업성, 자기효능감 및 직무만족도 정도가 높은 것으로 나타났고, 통계적으로도 유의한 차이를 보였다. 3. 본 연구모형은 전문직업성과 자기효능감의 상관계수는 .69, 전문직업성$\rightarrow$직무만족도 경로에서는 .33, 자기효능감$\rightarrow$직무만족도 경로에서는 .59로 정의 영향을 미치는 것으로 나타났다. 즉 전문직업성과 자기효능감과의 상관관계는 어느 정도 있는 것으로 나타났고, 전문직업성 보다는 자기효능감이 높을수록 직무만족도가 증가하는 것으로 볼 수 있다. 직무만족은 조직 내의 다양한 환경과 개인의 내적 요인에 영향을 받는다. 직무만족이 중요한 이유는 의료서비스의 질생산성과 함께, 치과위생사 개인의 삶의 질과도 연관되기 때문이다. 변화하는 시대에 대응하기 위해서는 치과위생사의 직무만족도를 증가시키기 위한 조직의 변화와 노력뿐만 아니라, 치과위생사들의 직업에 대한 확신, 전문직업성과 자기효능감을 향상시키기 위한 노력이 함께 동반되어야 한다.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권12호
• /
• pp.545-553
• /
• 2020

Although networking behavior is an effective job search method to students, far too little attention has been paid to mechanisms explaining the antecedents and networking behavior. The goal of this study was to demonstrate the effect of the HEXACO personality dimensions on graduated students' job search networking behavior through their network size. A survey of 773 participants was conducted to assess personality traits, network size, and networking behavior. All constructs in the study were measured by 5-point Likert scales. This study employed a structural equation model to examine the proposed conceptual model and the correlations among variables. Results showed that the personality of emotionality negatively influence students' network size, while extraversion and agreeableness are positively associated with the scope of their social network. Second, the findings confirmed that network size is directly related to the level of looking-for job behavior, particularly networking behavior. Finally, our results explored that network size played the mediating effect on how personality traits affect networking behavior. These findings suggest that network size is a dynamic mechanism that helps to understand the correlation between personality traits and job search networking behavior. The theoretical and practical implication of the study, as well as the future research direction were discussed.

• 산업경영시스템학회지
• /
• 제38권1호
• /
• pp.90-100
• /
• 2015

This study is conducted to suggest ways to mitigate the mismatch phenomenon between job seekers who want to find right company for themselves and companies looking for appropriate new employees. For this purpose, this study improves the company assessment framework reflecting job seekers interests by using fuzzy analytic hierarchy process. The improved evaluation framework is a three-level hierarchical structure, where there are 4 groups at the top level, 12 factors at the intermediate level and 36 indexes at the bottom level. For the empirical analysis of the applicants preferences based on the improved model, a survey for F-AHP analysis is carried out to university students and then priorities of components in the evaluation model are calculated. Moreover, the differences of priority of the company assessment framework are analyzed for different genders, college years, and major divisions. The results show that job seekers' most concerning factors are wages, stability, working environments, and labor deal, which are ranked highly in this order and the differences in preferences for each type of job seekers (genders, college years, and major divisions) are obvious. The results also show that the male prefers wages to environment, on the other hand female does working environment to wages.

• International Journal of Internet, Broadcasting and Communication
• /
• 제13권1호
• /
• pp.123-133
• /
• 2021

We study confirmed the factors influencing the organizational culture(collective culture, development culture, rational culture, hierarchical culture) perceived by members of the organization and the manager's authentic leadership(self-awareness, balanced information processing, relational transparency, internalized moral perspective) on job crafting. In addition, the relationship between organizational culture and authentic leadership was empirically analyzed. In order to verify the hypothesis of the research model, the survey results of 269 parts were verified as follows using the statistical program of SPSS 24.0. First, the organizational cultures perceived by members of the organization, development culture and rational culture, showed positive (+) influence on job crafting. In other words, Hypothesis 1 established by the research model was partially adopted. Second, the group culture, development culture, and rational culture of organizational culture were statistically significant in the relationship between the hypothesis 2 organizational culture and authentic leadership. In other words, Hypothesis 2 was partially adopted. Third, the three hypotheses of authentic leadership (self-awareness, balanced information processing, relational transparency, and an internalized moral perspective) all showed positive (+) effects on job crafting. As a result of this study, it was possible to confirm the importance of the organizational culture that improves the job-crafting of the members of the organization and the strategic activation plan for authentic leadership. Therefore, the necessity of strategic human resource development for the development and application of programs to revitalize organizational culture and improve the manager's authentic leadership has emerged.

• 한국정보시스템학회지:정보시스템연구
• /
• 제32권2호
• /
• pp.25-43
• /
• 2023

Purpose In online delivery platforms, platform workers are required to perform both platform labor, which is compensated with immediate wages, and shadow work which is a kind of unpaid job to support the platform labor. Thus, the objective of this study is to empirically examine how platform workers' platform labor and shadow work affect their job burnout and their turnover intention in the online delivery platform context. Design/methodology/approach This study developed a research model by employing platform labor and shadow work to influence job burnout and turnover intention. This study also tested the model by partial least square techniques after collecting 169 cross-sectional data from food delivery riders in Korea. Findings This study found that both platform labor and shadow work affected platform workers' job burnout. In addition, the results showed that shadow work influenced their turnover intention while platform labor did not affect the turnover intention. Based on the results, this study contributed to relevant researchers who are interested in platform contexts by offering measurable constructs on platform labor and shadow work. In addition, this study could provide practitioners with practical implications on managing platform workers.

• 한국정보시스템학회지:정보시스템연구
• /
• 제32권4호
• /
• pp.229-245
• /
• 2023

Purpose This study aims to understand the inclinations of young job seekers towards "hidden champions" - small but competitive companies that are emerging as potential solutions to the growing disparity between youth-targeted job vacancies and job seekers. We utilize machine learning techniques to discern the appeal of these hidden champions. Design/methodology/approach We examined the characteristics of small and medium-sized enterprises using data sourced from the Ministry of Employment and Labor and Youth Worknet. By comparing the efficacy of five machine learning classification models (i.e., Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, LGBM Classifier, and XGB Classifier), we discovered that the predictive model utilizing the LGBM Classifier yielded the most consistent performance. Findings Our analysis of the relative significance of preference determinants revealed that industry type, geographical location, and employee count are pivotal factors influencing preference. Drawing from these insights, we propose targeted strategic interventions for policymakers, hidden champions, and young job seekers.

• International Journal of Computer Science & Network Security
• /
• 제23권7호
• /
• pp.71-78
• /
• 2023

Employee turnover is one of the most important challenges facing modern organizations. It causes job experiences and skills such as distinguished faculty members in universities, rare-specialized doctors, innovative engineers, and senior administrators. HR analytics has enhanced the area of data analytics to an extent that institutions can figure out their employees' characteristics; where inaccuracy leads to incorrect decision making. This paper aims to develop a novel model that can help decision-makers to classify the problem of Employee Turnover. By using feature selection methods: Information Gain and Chi-Square, the most important four features have been extracted from the dataset. These features are over time, job level, salary, and years in the organization. As one of the important results of this research, these features should be planned carefully to keep organizations their employees as valuable assets. The proposed model based on machine learning algorithms. Classification algorithms were used to implement the model such as Decision Tree, SVM, Random Frost, Neuronal Network, and Naive Bayes. The model was trained and tested by using a dataset that consists of 1470 records and 25 features. To develop the research model, many experiments had been conducted to find the best one. Based on implementation results, the Neural Network algorithm is selected as the best one with an Accuracy of 84 percents and AUC (ROC) 74 percents. By validation mechanism, the model is acceptable and reliable to help origination decision-makers to manage their employees in a good manner.

• East Asian Economic Review
• /
• 제21권4호
• /
• pp.385-432
• /
• 2017

This paper investigates how firm age, size and ownership are related with job creation and destruction, and how these patterns differ across transition and non-transition economies. The analysis finds that age is inversely related with gross job creation and net job creation in the two samples. This finding is consistent with the theory of the learning effect. The relationship between age and job destruction is indifferent in non-transition economies. On the contrary, old firms in transition economies destroy more jobs than young ones. The paper further establishes an inverse relationship between size and gross job creation in the two groups. However, there is divergence between the two samples; small firms in non-transition economies also exhibit a higher gross job destruction rate. Consequently large firms have a higher net job creation rate. In transition economies, small and large firms exhibit similar rates of job destruction. But small firms retain a higher net job creation rate. A more intriguing finding is that state owned firms do not underperform domestic private ones. This means these countries may be using soft budget constraint which allows state owned firms to overstaff. Finally, crowding out of SMEs by foreign owned firms is not evident in transition economies.