• 한국항해항만학회지
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• 제39권2호
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• pp.115-123
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• 2015

This study focused on the alternative to estimate the demand of employment in Kenya logistics. First of all, it investigated the importance and necessity of search about the present circumstance of the country's industry. Next, it reviewed respectively the concept and limitation of several previous models for employment, including Bureau of Labor Statistics, USA; ROA, Netherlands; IER (Institute for Employment Research), UK; and IAB, Germany. In regard to the demand forecasting of employers in logistics, it could anticipate more realistically the future demand by the time-lag approach. According to the findings, if value of output record 733,080 KSH million in 2015 and 970,640 in 2020, compared to 655,222 in 2013, demand on wage employment in logistics industry would be reached up to 95,860 in 2015 and 104,329 in 2020, compared to about 89,600 in 2012. To conclude, this study showed the more rational numbers about the demand forecasting of employment than the previous researches and displayed the systematic approach to estimate industry manpower in logistics.

• 한국통신학회논문지
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• 제38B권10호
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• pp.808-816
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• 2013

최근 들어 우리나라는 제조업 부문의 투자와 고용이 부진하여 잠재성장률이 둔화되는 가운데 신성장동력 및 일자리 창출부문으로서 지식서비스의 역할에 대한 관심이 고조되고 있다. 본 연구에서는 산출 및 고용측면에서 1995년에서 2010년까지의 기간 동안 우리나라의 지식서비스산업의 구조변화 양상을 분석함으로써 지식서비스산업이 경제성장 및 고용창출에 어느 정도의 기여를 하고 있는지를 살펴보고 지식서비스산업 육성을 위한 정책방향을 제시하였다. 지식서비스산업은 여타 산업에 비하여 총산출과 고용의 규모면에 있어서 국가전체에서 차지하는 비중은 그다지 크지 않지만, 타 산업에 비하여 가장 빠른 성장 속도를 보이고 있어서 우리나라의 총산출 증가와 고용 창출에 큰 기여를 한 것으로 나타났다. 하지만 산출증가율과 성장기여도는 점차 하락하고 있어서 지식서비스가 앞으로도 지속적으로 성장동력 및 고용창출에 기여하기 위해서는 생산성 증대를 위한 특별 대책이 요구된다.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.601-610
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• 2007

Responding to the fierce market competition and trying to cut personnel costs, the construction industry in Taiwan is adopting atypical employment in human resource. To discover this trend, this study employed a questionnaire survey to investigate the current use of atypical employment by domestic contractors and its possible impacts on the industry. According to the 103 returned valid questionnaires, 40.8% of the respondent contractors have applied some atypical employment types in recent three years and most of them used fixed-term employment. The major reasons the contractors used atypical employees are to reduce personnel costs, to deal with business fluctuations and to streamline personnel. According to the respondents, there is no significant difference between the advantages and disadvantages of using a large number of atypical employees in the short term. However, in the long term, atypical employment is generally more disadvantageous than advantageous.

• 산경연구논집
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• 제14권3호
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• pp.27-43
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• 2023

Purpose: Changes in the employment environment in the era of the 4th Industrial Revolution are influencing various factors by the emergence of new jobs and the change in perception of job stability due to globalization of information technology and industry This study attempted to present implications by verifying the structural relationship of beauty workers' sustainable organizational commitment and the method necessary for conflict management in the industrial field due to the recent changes in the employment environment of the beauty industry in the 4th Industrial Revolution. Research design, data and methodology: This study sampled 604 beauty industry employees Frequency analysis, validity and reliability analysis, factor analysis, and path analysis were performed using SPSS WIN23.0. Results: It was found that the change in the employment environment caused by the 4th industrial revolution had a significant negative (-) effect on the job satisfaction and organizational commitment of beauty industry workers. Conclusion: This study is that changes in the employment environment negatively affect job satisfaction and organizational commitment of beauty workers. We hope to contribute to the development and growth of the beauty industry by providing basic data for the beauty tech service industry in the 4th industrial era.

• 서비스연구
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• 제2권2호
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• pp.23-33
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• 2012

서비스업에서의 고용률 및 전체 고용률에 대한 상대비율이 최근 수년 동안 매우 많이 변화되었다. 이러한 변화는 지역적으로 매우 큰 차이를 보이고 있으며 특히, 수도권 지역과 수도권 이외 지역과의 차이가 매우 크게 나타나고 있다. 본 연구의 주요 결과로서 서비스업에서의 평균 고용률은 수도권이 가장 높은 것으로 나타났다. 그리고 서비스업에서 고용률의 시기별 변화는, 수도권은 지속적으로 개선되는 추세를 보인 반면에 수도권 이외의 지역은 서로 다른 양상이 나타나고 있다. 또한, 서비스업에서 고용률의 상대비율은 수도권과 강원권이 다른 권역에 비해 상대적으로 가장 높게 나타나고 있으며 시기별 변화도 이 두 권역이 다른 권역에 비해 상대적으로 증가하는 추세를 보이고 있다. 마지막으로 서비스업에서의 평균 고용률이나 상대비율을 시도별로 비교해 보면 광역시가 도 지역에 비해 상대적으로 높게 나타나고 있으나, 시기별 변화를 비교해 보면 각 권역마다 서로 다른 양상을 보이는 것으로 나타났다.

• 디지털산업정보학회논문지
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• 제19권3호
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• pp.177-192
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• 2023

The employment rate of university graduates has been decreasing significantly recently. With the advent of the Fourth Industrial Revolution, the demand for software employment has increased. It is necessary to analyze the factors for software employment of university graduates. This paper proposes explainable software employment model of university graduates using machine learning and explainable AI. The Graduates Occupational Mobility Survey(GOMS) provided by the Korea Employment Information Service is used. The employment model uses boosting machine learning. Then, performance evaluation is performed with four algorithms of boosting model. Moreover, it explains the factors affecting the employment using SHAP. The results indicates that the top 3 factors are major, employment goal setting semester, and vocational education and training.

• 융합정보논문지
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• 제11권1호
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• pp.175-182
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• 2021

본 연구의 목적은 디지털바이오헬스케어산업의 연관산업에 대한 고용유발효과를 시기별로 비교 분석하여 효과적인 산업정책을 수립하기 위한 것이다. 연구를 위한 기본데이터는 한국은행이 실측했던 3개년의 산업연관표를 활용하였다. 연구 방법은 첫째, 산업분류 기준이 다른 시기별 통계자료들을 비교분석하기 위해 7대 산업으로 재작성하였다. 둘째, 한국은행의 산업연관분석 방법론으로 비교분석하였다. 셋째, 격차 조정을 위해 가중치를 반영하여 디지털바이오헬스케어산업의 고용, 생산, 투자 부문에서 유발 효과들을 비교분석하였다. 분석 결과는 첫째, 고용 부문에서는 전체 산업의 평균보다 높은 효과가 있고, 둘째, 생산 부문에서는 낮았고, 셋째, 투자 부문에서는 서비스 분야의 투자가 필요하였다. 분석에서 도출된 결론은, 고용 부문에서 직접투자 및 지속적인 투자가 필요하고, 전문 인력의 육성이 시급하며, 생산 부문에서는 직접투자와 장기투자가 효과적인 것으로 나타났다.

• 디지털산업정보학회논문지
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• 제20권1호
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• pp.31-45
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• 2024

The purpose of this study is to explain employment factors in the software field. For it, the Graduates Occupational Mobility Survey by the Korea employment information service is used. This paper proposes employment models in the software field using machine learning. Then, it explains employment factors of the models using explainable artificial intelligence. The models focus on both university graduates and vocational college graduates. Our works explain and interpret both black box model and glass box model. The SHAP and EBM explanation are used to interpret black box model and glass box model, respectively. The results describes that positive employment impact factors are major, vocational education and training, employment preparation setting semester, and intern experience in the employment models. This study provides a job preparation guide to universitiy and vocational college students that want to work in software field.

• 농촌계획
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• 제19권1호
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• pp.123-135
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• 2013

The purpose of this study is to investigate industry-wise employment growth factors in rural areas. Regional economic vitalization is sensitive to internal and external interaction changes among various industrial and occupational sectors. Thus, rural regional economic vitalization requires a comprehensive approach in analyzing industry-dependent employment structures and growth factors in rural areas. However, research conducted thus far has mostly focused on agriculture and farmers. Considering the evidence that rural communities continue to be stagnant and 80% of the rural population is engaged in nonagricultural activities, it becomes necessary to review industry-specific employment change factors in rural areas. This study targeted 5 counties in Chungnam. The results revealed that agriculture, forestry, and fisheries occupied the foremost positions with regard to population employed and regional GRDP share. The influence of national growth on employment and business variation effects was as high as 98.1% and 78.6%, respectively, thus demonstrating the high likelihood of rural economy to be influenced by external factors. Growth in the public sector appeared to support employment structure. Moreover, wholesale and retail businesses, constituting 14.4% of employment in rural areas, showed a strong trend toward degeneration, to the extent that difficulties have been forecasted for the supply of goods and services essential for basic livelihood of the rural residents. The implications based on the above observations need to be considered for policy-making to ensure that industrial structure is modified on the basis of internal demand of the region, and support for small businesses is integrated in rural area development projects.

• 유통과학연구
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• 제13권12호
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• pp.85-94
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• 2015

Purpose - The purpose of this paper is to provide a political registration point for analyzing the economic impacts on the national economy from the REITs distribution industry in our country. The REITs distribution industry was introduced in 2001 to accelerate the corporate restructuring process and advance the real estate market. During its establishment, the REITs distribution industry faced difficulties; however, the industry grew rapidly through interest from institutional investors, thus mitigating the establishment problems by 2006. In Korea, more than 108 REITs were operating as of the end of June 2015. REITs contribute significantly to the national economy. The economic impacts on the national economy of the REITs distribution industry was analyzed using input-output (I-O) analysis with respect to production, imports, value-added, and employment. Research design, data, and methodology - The research used an I-O analysis of the activities of the REITs distribution industry in the national economy. The I-O analysis methodology analyzes the economic effects that influence other industries with respect to one unit of external investment. The data for this analysis were the I-O table of 2013 as published by the Bank of Korea in 2014. Results - The findings of this study are as follows. First, if an external input to the REITs distribution industry is 1 won, the overall impact of the product is 1.3869 won, the import induction is 0.0002 won, and the value-added induction is 0.7656 won. A new investment of 659.9 billion won into the REITs industry was estimated to produce a gross effect of 915.2 billion won. Second, if an external input to the REITs distribution industry is 1 billion won, the employment-inducing effects are estimated at 19.6394 individuals. The employment-inducing coefficient of 19.6394 for the REITs distribution industry indicates that the industry created significant employment-more than other industries-because the coefficient was 2.2 times the 2013 industry average employment-inducing coefficient of 8.8. Third, the investment effects of the REITs distribution industry on production induction, value-added induction, and employment induction are assumed to be large in business support services, financing, communications and broadcasting, and professional, scientific, and technical services. Conclusions - The REITs distribution industry was analyzed as having a strong employment inducing, high value added effect. The REITs distribution industry is an excellent alternative for the government authority to create multilateral jobs. Because the REITs distribution industry has a significant positive impact on the national economy, it should be developed. However, the I-O methodology has restrictions with respect to the fixation and timing of the input coefficient. Follow-up research is expected to supplement the analysis method at a specific point in time.