• 산업경영시스템학회지
• /
• 제42권2호
• /
• pp.62-68
• /
• 2019

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.

• 산경연구논집
• /
• 제10권5호
• /
• pp.27-36
• /
• 2019

Purpose - Naver has emerged as a new leader in the open market. While existing open markets such as Gmarket, 11th Street, and so on are suffering from profitability deterioration, Naver is attracting sellers based on low commission and powerful search engine. We would like to analyze the impact of Naver shopping on the national economy, especially on employment, in a situation where the market reaction to Naver's strength as a leader in online shopping is mixed. Research Design, Data, and Methodology - Through the demand inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its shopping transaction. In turn, through the supply inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its low commission and powerful search engine. For the purpose of inter-industry analysis, as of 2018, the most recently announced 2014 inter-industry table (extension table) from the Bank of Korea is used. Results - The results of this study are as follows. First, Naver Shopping is expected to generate 7.8 trillion won's trade in 2018, resulting in 244,225 of job inducement, and 158,598 of employment inducement. In addition, Naver Shopping is estimated to benefit KRW 213 billion to its sellers due to low commission and powerful search function, resulting in 8,667 of job inducement, and 5,655 of employment inducement. Second, in terms of job inducement and employment inducement due to Naver Shopping's trade, transportation, business support service, information and communication, broadcasting, restaurants and lodging were ranked. Third, in terms of job inducement and employment inducement due to Naver Shopping's low commission and powerful search function, restaurants and hospitality, f/b and cigarette manufacturing, construction, and transportation equipment manufacturing were ranked. Conclusions - The number of job inducement resulting from low commission and powerful search engine of Naver shopping in 2018 was 8,667 (3.7% of 244,225, which was caused by transaction in Naver shopping in 2018), and employment inducement was 5,655 (3.7% of 158,598, which was caused by transaction in Naver shopping in 2018), which can be considered as additional employment impacts of Naver Shopping compared to the other online shopping operators.

• 아태비즈니스연구
• /
• 제10권4호
• /
• pp.137-151
• /
• 2019

Using Korean Labor and Income Panel Study data, this paper estimates nominal wage rigidity in Korea by industry from 2005 to 2017 and evaluates the level of inefficiency of Korean labor market. And, after estimating employment volatility by industry using the Labor Force Survey at Establishments data for Korea, we combine the nominal wage rigidity and the employment volatility estimates and analyze the effect of nominal wage rigidity on employment volatility in Korea from 2011 to 2017. If the level of wage rigidity is high, it may be hard for the labor market to be in the equilibrium, and therefore, the market may have inefficiency. We find that the inefficiency of the labor market in Korea have increased from 2005 to 2017 and the industry of accommodation and food service activities has the highest level of inefficiency over the period. We also find that one-percent-point increase in wage rigidity increases employment volatility by 2.3-2.9 percent and the positive effect is bigger for workers with part-time and temporary jobs. The result implies that firms may adjust their labor costs by changing the number of casual workers, rather than permanent workers, when the labor market suffers from a high level of wage rigidity.

• 공학교육연구
• /
• 제15권6호
• /
• pp.3-8
• /
• 2012

The purpose of this study is to reinforce employment improvement of engineering college students and the industry-university collaboration of regional industries. In order to achieve the object of this study, we inquire and analyze the general requirements for engineering college students and specific requirements for each major of engineering college. In addition, we survey and analyze the industry-university collaboration programs and awareness of them. When regional companies hire new workers affiliated engineering students, they significantly consider executive ability related to their majors and self-confidence. The education and research area by each department and the status and the intention of industry-university cooperation are also investigated. Eventually, we propose the education plan to meet the industrial requirements and industry-university cooperation strategy.

• 노동경제논집
• /
• 제33권1호
• /
• pp.85-107
• /
• 2010

외환위기 이후 한국은 비교 대상국 가운데 가장 빠른 고용의 서비스화와 가장 큰 제조업과 서비스업 간의 생산성 격차가 나타났다. 생산성 분해를 통해 확인해 본 결과 이는 외환위기 전에 비해 생산성과 고용의 변동이 반대로 일어나는 부정적 구조변화의 경향이 심화되었기 때문이다. 그리고 제조업의 경우 고용 비중은 줄면서 자체의 생산성 향상 중심으로, 서비스업은 반대로 자체의 생산성 향상은 지지부진한 체 고용의 흡수를 통한 성장을 주로 해왔기 때문이기도 하다. 국제비교에서도 이러한 경향은 뚜렷이 드러난다. 그리고 한국의 서비스업은 제조업에 비해 부정적 구조변화의 경향이 외환위기 후 더 심해졌다.

• 마케팅과학연구
• /
• 제18권4호
• /
• pp.307-331
• /
• 2008

The CEO and the Corporate Image is considered very important in the aspect of marketing. The fact that CEO image itself influences the company or value of the product directly and indirectly has been verified through many cases. Recently, the differentiation of products and services between companies became difficult because the disparity in technique between companies retrenched. As a result, the rate of people who decide to purchase or invest their money based on the corporate image or reputation has been increased. Also in the knowledge society like today, the talented employees are the company's customer and the company's necessity for managing those brains of marketing perspective on how to satisfy and attract the customers is being embossed. The Fashion industry is one of the most value-added industry and in those value-added businesses, the most important factor is the human resources' knowledge power. However the study of the relationships among the CEO image, the corporate image and employment brand value in fashion industry has not been carried out yet. This research considers that dynamic relationship exists among the CEO image, corporate image and employment brand value that affects a company's main goal of pursuing benefits and intends to investigate the relationships of the three concepts. The specific purposes of this study were, 1) to analyze the impact of CEO image on a corporate image, 2) to analyze the impact of corporate image on employment brand value, 3) to analyze the impact of CEO image on employment brand value, 4) to analyze whether corporate image plays a mediating role in the relationship between CEO image and employment brand value or not. A survey design with a structured questionnaire was employed for this research. A convenience sample of 398 subjects was selected from two groups, which are university students majoring in fashion and practitioners working in fashion industry. For the data analysis, descriptive statistic (i.e., frequency, percentage), factor analysis, and multiple regression analysis were used by utilizing SPSS 12.0 for Windows program. The results for this research are as follows, first, the study of the impact of CEO image (i.e., Managerial Competence, Reliability/Leadership, Personal Attractiveness) on corporate image (i.e., Product Image, Corporate Social Responsibility Image, Corporate Cultural Image) brought conclusion that the CEO image generally affected the corporate image in fashion industry. Managerial Competence and Reliability/Leadership affected Product Image, Corporate Social Responsibility Image and Corporate Cultural Image. However, while CEO's Personal Attractiveness affected Product Image and Corporate Social Responsibility Image, it did not affect Corporate Cultural Image. Second, the study of the impact of corporate image on employment brand value brought conclusion that corporate image (i.e., Product Image, Corporate Social Responsibility Image, Corporate Cultural Image) affected employment brand value. Corporate Cultural Image affected employment brand value the most and then the Corporate Social Responsibility Image and Product Image. Third, the study of the impact of CEO image on employment brand value brought conclusion that CEO image (i.e., Managerial Competence, Reliability/Leadership, Personal Attractiveness) affected the employment brand value. CEO's Reliability/Leadership affected the employment brand value the most and then CEO's Personal Attractiveness and CEO's Managerial Competence. Forth, the study examined whether corporate image plays a mediating role in relationship of CEO image and employment brand value and concluded that it does. Corporate image played a full mediating role between CEO's Managerial Competence and employment brand value while it played a partial mediating role between CEO's Reliability/Leadership and CEO's Personal Attractiveness. This study is meaningful in a sense that it examines the relationship among the CEO image, corporate image and employment brand value which has not been carried out yet in fashion industry. It will ultimately contribute to the success of a fashion company by providing useful information of establishing strategies for managing proper the CEO and the corporate image to the fashion company and operating the talented employees.

• 무역학회지
• /
• 제46권1호
• /
• pp.169-187
• /
• 2021

This paper analyzes the feasibility of using machine learning and deep learning methods to forecast the income and employment using the strategic industries as well as investment, export, and exchange rates. The decision tree, artificial neural network, support vector machine, and deep learning models were used to forecast the income and employment in Busan. The following were the main findings of the comparison of their predictive abilities. First, the decision tree models predict the income and employment well. The forecasting values for the income and employment appeared somewhat differently according to the depth of decision trees and several conditions of strategic industries as well as investment, export, and exchange rates. Second, since the artificial neural network models show that the coefficients are somewhat low and RMSE are somewhat high, these models are not good forecasting the income and employment. Third, the support vector machine models show the high predictive power with the high coefficients of determination and low RMSE. Fourth, the deep neural network models show the higher predictive power with appropriate epochs and batch sizes. Thus, since the machine learning and deep learning models can predict the employment well, we need to adopt the machine learning and deep learning models to forecast the income and employment.

• 경영과정보연구
• /
• 제20권
• /
• pp.137-156
• /
• 2007

This study had an objective to obtain a result of the economic impacts of lodging industry on the Koran economy. Using the input-output model(I-O model), lodging industry sectoral multipliers were derived from the effects of output, income, employment, value added. indirect tax, and import. According to results of this study, estimated economic impacts of the convention industry were $2,950 million in output, $712 million in income, 92,257persons in employment, $1,590 million in value added, $12 million in indirect tax, and $226 million in import sectors.

• 한국사회복지학
• /
• 제66권1호
• /
• pp.251-276
• /
• 2014

연구는 기업 규모가 클수록 장애인 고용률이 하락한다는 장애인 고용계의 상식을 상세히 재검토한다. 이러한 상식은 기업 규모와 산업 유형의 교호작용에 대한 고려 없이, 통상적인 다중회귀분석을 통해 형성되었다. 이 연구는 기업규모별 장애인 고용률이 통상적 회귀분석의 가정인 자료의 선형성과 등분산성을 위반한다는 사실을 밝힌 후, 일반 선형회귀모형, 가중회귀모형, 다항로짓모형을 사용하여 자료를 설명하는 데 적합한 모형을 찾고자 했다. 또한 경로모형 분석을 통해 고용률에 대한 기업 규모의 직간접적 효과가 산업별로 어떻게 나타나는지도 확인하였다. 분석 결과, 기업 규모와 산업 유형의 교호작용을 모형에 추가할 경우, 상시근로자 100인 이상의 기업에 대해 규모는 장애인 고용률에 유의한 영향을 미치지 않았으며, 업무 환경, 장애인 고용으로 인한 도움, 장애에 대한 배려, 제도/정책에 대한 인지와 같은 요인들이 기업의 규모보다 더 중요한 것으로 나타났다. 향후의 장애인 고용 연구와 정책 이행에서는 기업의 규모 못지않게 산업 및 방금 열거한 요인들에 더 많은 주의를 기울여야 한다.

• 동아시아경상학회지
• /
• 제11권2호
• /
• pp.91-108
• /
• 2023

Purpose - This research paper empirically analyzes the effect of changes in the employment environment due to the 4th industrial revolution on the turnover intention of cosmetic employers and employees and seeks the necessary measures for job instability in the industrial field. Research design, data, and methodology - A self-report questionnaire was conducted on 513 cosmetic implementers. Statistical processing of the data collected by the data analysis method was analyzed using the Statistical Package for Social Science (SPSS) WIN23.0 statistical package program through data coding and data organizing process. Results - Changes in the employment environment were found to have a significant effect on the effect of job instability (t=13.218, p<0.05). As for the effect of organizational commitment on turnover intention, the higher the organizational commitment, which is a parameter, has a negative (-) effect on turnover intention, a dependent variable (p<0.05). Conclusions - Our results are based on an analysis that allows cosmetic employers and workers to explore ways to address job insecurity. Based on the analysis results, it will help the growth of the cosmetics industry by providing basic data for the identity of the cosmetics industry and the development of the cosmetics service organization.