• Journal of Information Technology Applications and Management
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• v.27 no.6
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• pp.141-151
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• 2020

The job mismatch between job seekers and SMEs is becoming more and more intensifying with the serious difficulties in youth employment. In this study, a bi-directional content-based metric learning model is proposed to recommend suitable jobs for job seekers and suitable job seekers for SMEs, respectively. The proposed model not only enables bi-directional recommendation, but also enables HR matching without relearning for new job seekers and new job offers. As a result of the experiment, the proposed model showed superior performance in terms of precision, recall, and f1 than the existing collaborative filtering model named NCF+GMF. The proposed model is also confirmed that it is an evolutionary model that improves performance as training data increases.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.1
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• pp.67-95
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• 1998

This research addresses flow time prediction in the dynamic unbalanced job shop scheduling environment. The specific purpose of the research is to develop the job flow time prediction model in the dynamic unbalance djob shop. Such factors as job characteristics, job shop status, characteristics of the shop workload, shop dispatching rules, shop structure, etc, are considered in the prediction model. The regression prediction approach is analyzed within a dynamic, make-to-order job shop simulation model. Mean Absolute Lateness (MAL) and Mean Relative Error (MRE) are used to compare and evaluate alternative regression models devloped in this research.

• Journal of the Korea Safety Management & Science
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• v.5 no.4
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• pp.245-256
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• 2003

Job characteristics have influence on the organizational effectiveness. The job characteristics are the core job dimension and organizational effectiveness. Aptitude and personality also act on job characteristics. In this study, we investigate chinese characters by province and city. The purpose of this study is to develop the job characteristics and organizational effectiveness model for chinese by province and city. Consequently, we suggest to be applied the model to korean finns strategically, which push into China, by view of improvement of organizational effectiveness and adaptation in China.

• The Journal of Information Systems
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• v.33 no.1
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• pp.207-226
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• 2024

Purpose This study aims to develop a job model for data convergent talents to meet the rapidly changing demands of the data industry. To create a job model, we first define and categorize data convergent talents with balanced competencies in data technology and domain knowledge, and then develop a job model by investigating job areas, scope, activities, and competencies. Design/methodology/approach The research is conducted using the following procedures and methodology. First, we conduct a current status survey on data talent demand, data talent policies, data talent programs, and curricula at home and abroad; second, we collect opinions on the jobs and competencies required for data convergent talents and curricula for talent development through in-depth interview with experts; and third, we present the job areas and job activities of data convergent talents derived from the previous status survey and expert opinions based on the National Competency Standards(NCS). Findings The research findings indicate that there are total of six job roles for data convergent talents, including data scientist, data planner, data architect, data developer, data engineer, and data analyst. It was observed that each of these roles requires the development of common competencies within their respective fields, followed by a need for further specialization into specific competencies within each professional domain.

• Journal of Information Technology Applications and Management
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• v.28 no.4
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• pp.33-43
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• 2021

While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.

• Journal of Distribution Science
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• v.17 no.8
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• pp.67-76
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• 2019

Purpose - This research examined whether entrepreneurial proclivity of retail employees affects job engagement and satisfaction, which are job-related positive aspects; and whether job engagement affects job satisfaction. Research design, data, and methodology - To accomplish this purpose, data were collected for 224 retail employees working in the distribution industry in the Republic of Korea. Reliability, validity, and hypotheses were tested through structural equation modeling, and mediating effects of job engagement between entrepreneurial proclivity and job satisfaction were verified through the bootstrap method by using the process model. Results - The results show that innovativeness and progressiveness in entrepreneurial proclivity positively affected job engagement and job satisfaction, but risk-taking did not affect either job engagement or job satisfaction. Also, this research confirmed that job engagement positively affects job satisfaction. Conclusions - This study contributes to the retail literature by applying the concept of entrepreneurial proclivity in the retail employee context. This study puts forward empirical evidence that identifies the effect of entrepreneurial proclivity as a job resource that influences job engagement and job satisfaction in the JD-R model. Thus, this study surmounts the limitation of prior studies by examining entrepreneurial proclivity from the aspect of retail employees.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.49-56
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• 2007

This paper deals with grid job allocation and grid resource scheduling to provide a stable and quicker job processing service to grid users. In this paper, we proposed a fuzzy logic-based grid job scheduling model for an effective job scheduling in computational grid environment. The fuzzy logic-based grid job scheduling model measures resource efficiency of all grid resources by a fuzzy logic system based on diverse input parameters like CPU speed and network latency and divides resources into several groups by resource efficiency. And, the model allocates jobs to resources of a group with the highest resource efficiency. For performance evaluation, we implemented the fuzzy logic-based grid job scheduling model on the DEVS modeling and simulation environment and measured reduction rates of turnaround time, job loss, and communication messages in comparison with existing job scheduling models such as the random scheduling model and the MCT(Minimum Completion time) model. Experiment results that the proposed model is useful to improve the QoS of the grid job processing service.

• Journal of the Korean Society of Safety
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• v.29 no.4
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• pp.168-171
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• 2014

The job stress is rising as a social issue in all industries. So many manufacturing companies have been trying to prevent the job stress. Recently, the job stress is the important cause which lead to WMSDs, depressive disorder, anxiety disorder and sleep disturbance. However, the cause of the job stress is very variety. So management is very difficult. The purpose of this study is to investigate the group of the job stress by Karasek model from workers in auto part manufacturing company. The survey was using Karasek job stress model and was administered to 181 workers of auto part manufacturing company. Job demand median and job decision median was in 30.0 and 50.0. From this study, following results were obtained. 1) The gender of workers according to the groups of job stress was statistically significant(p<0.05). 2) The duration of working of workers according to the groups of job stress was statistically significant(p<0.05). 3) The intensity of work of workers according to the groups of job stress was statistically significant(p<0.01). The result of this study will help to identify the group of job stress and improve personal coping ability, systematic measure of company.

• The Journal of Information Systems
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• v.32 no.2
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• pp.45-61
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• 2023

Purpose ESG(Environment Social Governance) activities of IT companies are very important for organizational development in that they can motivate employees to engage in job crafting by giving them a sense of purpose and meaning. There have been many studies on the positive impact of company ESG(Environment Social Governance) activities on financial performance, but unlike the existing financial performance approach, this study suggested that IT companies ESG activities can affect job crafting and job satisfaction of employee, using non-financial organizational variables. Design/methodology/approach This study, based on the related theoretical background, showed the relationship between ESG, job crafting, and job satisfaction, and it was proposed as a research model. A measurement model was constructed, and it was estimated and evaluated with LISREL 9.30, using data from IT companies employees, and it showed satisfactory data-fit of proposed model. The empirical results indicated that ESG(Environment Social Governance) take effect on job crafting, and job crafting take effect on job satisfaction. Findings This study provided several important implications in relation to the ESG(Environment Social Governance) that contribute to job crafting and job satisfaction for IT companies employees. It was confirmed that job crafting variable is a effective mediator linking ESG(Environment Social Governance) and job satisfaction.

• Korean Journal of Occupational Health Nursing
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• v.29 no.4
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• pp.262-272
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• 2020

Purpose: This study aims to investigate the degree of job demand, job resources, burnout, and the organizational commitment of administrative nurses based on the job demands-resources model. Further, it seeks to confirm the influencing factors affecting nurses' burnout and organizational commitment. Methods: The participants were 188 administrative nurses working at hospitals (one tertiary hospital and six general hospitals) located in D City. The collected data were analyzed with IBM SPSS Statistics 23.0 using frequency, percentage, mean, standard deviation, t-tests, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Results: The influential factors of burnout were role conflict (β=.50), job demand (β=.18), job position (β=-.17, team leaders and above), and social support (β=-.15). The regression model had an explanatory power of 59%. The influential factors of organizational commitment were appropriate rewards (β=.59), job position (β=.15, team leader or above), working department (β=.14, referral center and health screening administration department), and social support (β=.18). The regression model had an explanatory power of 59.5%. Conclusion: The results support the job demands-resources model, and interventions should be developed to decrease job demand and provide sufficient job resources.