• Title/Summary/Keyword: Current Situation of Employment

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Moderating Effect of Self-efficacy between Convergence-type Job Insecurity and Organizational Citizen Behavior (융복합형 직무불안정성과 조직시민행동간 자기효능감의 조절효과)

  • Han, Jin-Hwan
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.237-245
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    • 2016
  • Anxiety for employment of workers has been increased due to rapid change of management environment, which tends to increase psychological instability on the job of all workers. Accordingly, this study examined the moderating effect of self-efficacy between job instability and organizational citizenship behavior. The research subjects were employees of small and medium companies in the manufacturing industry in Daejeon-si, Sejong-si and Chungcheongnam-do and Chungcheongbuk-do. 500 sheets of the questionnaire were distributed from August 5, 2015 to August 30, 2015. Among them, 321 were collected with 64.2% of the response rate. Total 312 sheets were used for analysis excluding 9 sheets with incomplete answers. The results are as follows. Firstly, it proved that job instability had negative (-) effect on organizational citizenship behavior. Secondly, in the relation between job instability and organizational citizenship behavior, there was moderating effect of self-efficacy. Accordingly, if self-efficacy of the workers is higher in the threat of job instability, it means organizational citizenship behavior would increase. In conclusion, in the current situation where there is instable survival of corporation and job, the management of small and medium manufacturing company needs to increase self-efficacy through training and internal reward to employees. The limit of the study is that the research subjects were employees of small and medium companies in the manufacturing industry in Daejeon-si, Sejong-si and Chungcheongnam-do and Chungcheongbuk-do. Accordingly, as situational peculiarity may be observed, it is required to have expanded study to more various areas, works and industries.

An Analysis of the Economic Effects of Corporate Accumulated Earnings Tax System (기업소득 환류세제의 경제적 효과분석)

  • Kim, Dong-Hun
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.367-380
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    • 2020
  • Recently, Korea's economy is facing a difficult economic situation due to sluggish domestic demand, low corporate investment and a cliff in youth employment. In order to overcome this problem and turn the economy into a virtuous circle, the government has introduced and implemented various economic policies. In this study, the effects of the corporate accumulated earnings tax system included in the 2014 tax code revision were to be verified. The validity of the business income was verified and analyzed using the financial data of the entity as to whether the income of the entity was being circulated to household income. First, validating the validity of whether the income tax on non-current income affects the level of an entity's investment, the results showed significant negative effects at a significant level of 5 per cent. Second, the analysis of whether the return tax on corporate income is affecting management decisions that increase the level of dividends for an entity has identified a metaphorical positive relationship. Third, it was confirmed that the income tax on uncurrency income does not have a significant effect on the increase in wages for workers. The result is presumed to be the main reason for the increased uncertainty in the economy and business environment.

Influence of University Service Quality Factors on University Engagements -Focusing on Chinese students studying abroad- (대학 서비스 품질 요소들의 대학 인게이지먼트에 관한 영향 -중국 유학생을 중심으로-)

  • Kim, Moontae
    • Journal of Service Research and Studies
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    • v.14 no.1
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    • pp.108-123
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    • 2024
  • In particular, as the current educational institutions are becoming more competitive, universities need to make efforts to survive the fierce competition by improving their service qualities. In this situation, this study was conducted to confirm the effect of international students' evaluation of university service quality on university loyalty through university satisfaction and service engagements, And several implications can be suggested as follows. First, the dimensions of university service quality were identified as important factors that had a great influence on the university satisfaction of international students. Among the service quality dimensions, support services related to international students were found to be the most important variable in university satisfaction. The school's efforts to solve the inconvenience of international students and the grievances of students who feel difficulties that their own students do not feel are considered a very important factor in the satisfaction of international students. Second, it was found that international students' class engagement or friendship engagement can be increased through satisfaction with the school, and eventually, the increased engagements affect university loyalty. In particular, it has been verified that for international students, the loyalty of the school can be increased by establishing friendships with students from various countries and participating in various school programs. Finally, according to the purposes of studying abroad, the difference was confirmed between the groups studying for academic development and better employment and the group employed for overseas experience and immigration.

An Analysis of the Economic Effects on the Project to Construct Smart Network (스마트 네트워크 구축사업의 경제적 파급효과 분석)

  • Jeong, Woo-Soo;Kim, Sa-Hyuk
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.61-71
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    • 2011
  • The Smart Network Project is planned for achieving the Internet advanced country by adjusting the Government Future Internet Development as a national agenda. The future Internet is defined as diverse alternative technology and services that can provide optimal services for individual characteristic and situation in anywhere, anytime throughout convergence of communication, broadcasting, and computing to solve the current limitation of the Internet. This paper is to analyze the economic effects of the smart network build-up. For the economic effect analysis, we reclassified the smart network industry classification system and re-drew up 2011 Inter-industry Relations Table by using the Inter-industry Relations Table issued by the Bank of Korea and the RAS techniques. And we analyzed the economic effects that can be drawn from the investment of the smart network industry. As a result, the gross production inductive effect which appears with the economic effect of the smart network establishment project from 2011 to 2015 came out to be about 72 trillion 808.2 billion KW, added value inductive effect of 44 trillion 192.9 billion KW and the employment inductive effect of the job creation of about 412 thousands people. Afterward, it is anticipated that the smart network build-up project to contribute to the improvement of Koreans' daily life. Moreover, this research will be used as a valued basic material in the pursuit of the future network projects.

Artificial Intelligence Techniques for Predicting Online Peer-to-Peer(P2P) Loan Default (인공지능기법을 이용한 온라인 P2P 대출거래의 채무불이행 예측에 관한 실증연구)

  • Bae, Jae Kwon;Lee, Seung Yeon;Seo, Hee Jin
    • The Journal of Society for e-Business Studies
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    • v.23 no.3
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    • pp.207-224
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    • 2018
  • In this article, an empirical study was conducted by using public dataset from Lending Club Corporation, the largest online peer-to-peer (P2P) lending in the world. We explore significant predictor variables related to P2P lending default that housing situation, length of employment, average current balance, debt-to-income ratio, loan amount, loan purpose, interest rate, public records, number of finance trades, total credit/credit limit, number of delinquent accounts, number of mortgage accounts, and number of bank card accounts are significant factors to loan funded successful on Lending Club platform. We developed online P2P lending default prediction models using discriminant analysis, logistic regression, neural networks, and decision trees (i.e., CART and C5.0) in order to predict P2P loan default. To verify the feasibility and effectiveness of P2P lending default prediction models, borrower loan data and credit data used in this study. Empirical results indicated that neural networks outperforms other classifiers such as discriminant analysis, logistic regression, CART, and C5.0. Neural networks always outperforms other classifiers in P2P loan default prediction.

Job Preference Analysis and Job Matching System Development for the Middle Aged Class (중장년층 일자리 요구사항 분석 및 인력 고용 매칭 시스템 개발)

  • Kim, Seongchan;Jang, Jincheul;Kim, Seong Jung;Chin, Hyojin;Yi, Mun Yong
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.247-264
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    • 2016
  • With the rapid acceleration of low-birth rate and population aging, the employment of the neglected groups of people including the middle aged class is a crucial issue in South Korea. In particular, in the 2010s, the number of the middle aged who want to find a new job after retirement age is significantly increasing with the arrival of the retirement time of the baby boom generation (born 1955-1963). Despite the importance of matching jobs to this emerging middle aged class, private job portals as well as the Korean government do not provide any online job service tailored for them. A gigantic amount of job information is available online; however, the current recruiting systems do not meet the demand of the middle aged class as their primary targets are young workers. We are in dire need of a specially designed recruiting system for the middle aged. Meanwhile, when users are searching the desired occupations on the Worknet website, provided by the Korean Ministry of Employment and Labor, users are experiencing discomfort to search for similar jobs because Worknet is providing filtered search results on the basis of exact matches of a preferred job code. Besides, according to our Worknet data analysis, only about 24% of job seekers had landed on a job position consistent with their initial preferred job code while the rest had landed on a position different from their initial preference. To improve the situation, particularly for the middle aged class, we investigate a soft job matching technique by performing the following: 1) we review a user behavior logs of Worknet, which is a public job recruiting system set up by the Korean government and point out key system design implications for the middle aged. Specifically, we analyze the job postings that include preferential tags for the middle aged in order to disclose what types of jobs are in favor of the middle aged; 2) we develope a new occupation classification scheme for the middle aged, Korea Occupation Classification for the Middle-aged (KOCM), based on the similarity between jobs by reorganizing and modifying a general occupation classification scheme. When viewed from the perspective of job placement, an occupation classification scheme is a way to connect the enterprises and job seekers and a basic mechanism for job placement. The key features of KOCM include establishing the Simple Labor category, which is the most requested category by enterprises; and 3) we design MOMA (Middle-aged Occupation Matching Algorithm), which is a hybrid job matching algorithm comprising constraint-based reasoning and case-based reasoning. MOMA incorporates KOCM to expand query to search similar jobs in the database. MOMA utilizes cosine similarity between user requirement and job posting to rank a set of postings in terms of preferred job code, salary, distance, and job type. The developed system using MOMA demonstrates about 20 times of improvement over the hard matching performance. In implementing the algorithm for a web-based application of recruiting system for the middle aged, we also considered the usability issue of making the system easier to use, which is especially important for this particular class of users. That is, we wanted to improve the usability of the system during the job search process for the middle aged users by asking to enter only a few simple and core pieces of information such as preferred job (job code), salary, and (allowable) distance to the working place, enabling the middle aged to find a job suitable to their needs efficiently. The Web site implemented with MOMA should be able to contribute to improving job search of the middle aged class. We also expect the overall approach to be applicable to other groups of people for the improvement of job matching results.

A Study on the Status of Medical Equipment and Radiological Technologists using Big Data for Health Care: Based on Data for 2020-2021 (보건의료 빅데이터를 활용한 의료장비 및 방사선사 인력 현황 연구 : 2020-2021년 자료를 기준으로)

  • Jang, Hyon-Chol
    • Journal of the Korean Society of Radiology
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    • v.15 no.5
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    • pp.667-673
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    • 2021
  • As we enter the era of the 4th industrial revolution, it is judged that the scope of work of radiologists will be further expanded according to the innovation and advancement of radiation medical technology development. In this study, the current status of medical equipment and radiology technicians was identified, and basic data were provided for the plan for nurturing talents in the field of radiation medical technology in the era of the 4th industrial revolution, as well as career and employment counseling. Data from the second quarter of 2020 and the second quarter of 2021 were analyzed using health and medical big data. As a result of comparing the status of medical equipment by type in 2021 compared to 2020, C-Arm X-ray examination equipment increased by 5.83% to 6,638 units, followed by MRI examination equipment 1,811 units 5.29%, and angiography equipment 725 units 5.22% , general X-ray examination equipment 21,557 units increased 3.99%, CT examination equipment 2,136 units 3.03%, and breast examination equipment 3,425 units increased 3.00%. As a result of a comparison of the total number of radiologists in 2021 compared to 2020, the number was 29,038, an increase of 2.73%. As a result of comparing the status of radiographers by region, the increase was highest in the Gyeonggi region with 5.96%, followed by the Gangwon region with a 5.66% increase and the Chungnam region with a 3.81% increase. In a situation where the number of medical equipment and radiologist manpower is increasing, universities are developing specialized knowledge and practical competency through subject development related to the understanding and utilization of customized artificial intelligence and big data that can be applied in the medical radiation technology field in the era of the 4th industrial revolution. It is necessary to nurture qualified radiographers, and at the level of the association, it is thought that active policies are needed to create new jobs and improve employment.

A Contemplation on Measures to Advance Logistics Centers (물류센터 선진화를 위한 발전 방안에 대한 소고)

  • Sun, Il-Suck;Lee, Won-Dong
    • Journal of Distribution Science
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    • v.9 no.1
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    • pp.17-27
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    • 2011
  • As the world becomes more globalized, business competition becomes fiercer, while consumers' needs for less expensive quality products are on the increase. Business operations make an effort to secure a competitive edge in costs and services, and the logistics industry, that is, the industry operating the storing and transporting of goods, once thought to be an expense, begins to be considered as the third cash cow, a source of new income. Logistics centers are central to storage, loading and unloading of deliveries, packaging operations, and dispensing goods' information. As hubs for various deliveries, they also serve as a core infrastructure to smoothly coordinate manufacturing and selling, using varied information and operation systems. Logistics centers are increasingly on the rise as centers of business supply activities, growing beyond their previous role of primarily storing goods. They are no longer just facilities; they have become logistics strongholds that encompass various features from demand forecast to the regulation of supply, manufacturing, and sales by realizing SCM, taking into account marketability and the operation of service and products. However, despite these changes in logistics operations, some centers have been unable to shed their past roles as warehouses. For the continuous development of logistics centers, various measures would be needed, including a revision of current supporting policies, formulating effective management plans, and establishing systematic standards for founding, managing, and controlling logistics centers. To this end, the research explored previous studies on the use and effectiveness of logistics centers. From a theoretical perspective, an evaluation of the overall introduction, purposes, and transitions in the use of logistics centers found issues to ponder and suggested measures to promote and further advance logistics centers. First, a fact-finding survey to establish demand forecast and standardization is needed. As logistics newspapers predicted that after 2012 supply would exceed demand, causing rents to fall, the business environment for logistics centers has faltered. However, since there is a shortage of fact-finding surveys regarding actual demand for domestic logistic centers, it is hard to predict what the future holds for this industry. Accordingly, the first priority should be to get to the essence of the current market situation by conducting accurate domestic and international fact-finding surveys. Based on those, management and evaluation indicators should be developed to build the foundation for the consistent advancement of logistics centers. Second, many policies for logistics centers should be revised or developed. Above all, a guideline for fair trade between a shipper and a commercial logistics center should be enacted. Since there are no standards for fair trade between them, rampant unfair trades according to market practices have brought chaos to market orders, and now the logistics industry is confronting its own difficulties. Therefore, unfair trade cases that currently plague logistics centers should be gathered by the industry and fair trade guidelines should be established and implemented. In addition, restrictive employment regulations for foreign workers should be eased, and logistics centers should be charged industry rates for the use of electricity. Third, various measures should be taken to improve the management environment. First, we need to find out how to activate value-added logistics. Because the traditional purpose of logistics centers was storage and loading/unloading of goods, their profitability had a limit, and the need arose to find a new angle to create a value added service. Logistic centers have been perceived as support for a company's storage, manufacturing, and sales needs, not as creators of profits. The center's role in the company's economics has been lowering costs. However, as the logistics' management environment spiraled, along with its storage purpose, developing a new feature of profit creation should be a desirable goal, and to achieve that, value added logistics should be promoted. Logistics centers can also be improved through cost estimation. In the meantime, they have achieved some strides in facility development but have still fallen behind in others, particularly in management functioning. Lax management has been rampant because the industry has not developed a concept of cost estimation. The centers have since made an effort toward unification, standardization, and informatization while realizing cost reductions by establishing systems for effective management, but it has been hard to produce profits. Thus, there is an urgent need to estimate costs by determining a basic cost range for each division of work at logistics centers. This undertaking can be the first step to improving the ineffective aspects of how they operate. Ongoing research and constant efforts have been made to improve the level of effectiveness in the manufacturing industry, but studies on resource management in logistics centers are hardly enough. Thus, a plan to calculate the optimal level of resources necessary to operate a logistics center should be developed and implemented in management behavior, for example, by standardizing the hours of operation. If logistics centers, shippers, related trade groups, academic figures, and other experts could launch a committee to work with the government and maintain an ongoing relationship, the constraint and cooperation among members would help lead to coherent development plans for logistics centers. If the government continues its efforts to provide financial support, nurture professional workers, and maintain safety management, we can anticipate the continuous advancement of logistics centers.

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