• Korea Trade Review
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• v.46 no.5
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• pp.31-47
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• 2021

Recently, third-party logistics and second-party logistics are well known as a form of logistics service. However, there are several opinions about the effectiveness of second-party logistics and third-party logistics. In this study, the efficiency of second-party logistics companies and third-party logistics companies, which are the main providers of logistics services, was compared and the sales impact on the logistics market was measured. Efficiency was measured using DEA's CCR and BCC models. Debt and equity were used as input variables, and sales, operating profit, and net income were used as output variables. As a result of measuring the efficiency of logistics companies, the efficiency of third-party logistics companies was higher than that of second-party logistics companies in 2019 and 2020, and it had a positive effect on the rate of change in sales.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.143-156
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• 2012

People easily believe that news and stock index are closely related. They think that securing news before anyone else can help them forecast the stock prices and enjoy great profit, or perhaps capture the investment opportunity. However, it is no easy feat to determine to what extent the two are related, come up with the investment decision based on news, or find out such investment information is valid. If the significance of news and its impact on the stock market are analyzed, it will be possible to extract the information that can assist the investment decisions. The reality however is that the world is inundated with a massive wave of news in real time. And news is not patterned text. This study suggests the stock-index invest model based on "News Big Data" opinion mining that systematically collects, categorizes and analyzes the news and creates investment information. To verify the validity of the model, the relationship between the result of news opinion mining and stock-index was empirically analyzed by using statistics. Steps in the mining that converts news into information for investment decision making, are as follows. First, it is indexing information of news after getting a supply of news from news provider that collects news on real-time basis. Not only contents of news but also various information such as media, time, and news type and so on are collected and classified, and then are reworked as variable from which investment decision making can be inferred. Next step is to derive word that can judge polarity by separating text of news contents into morpheme, and to tag positive/negative polarity of each word by comparing this with sentimental dictionary. Third, positive/negative polarity of news is judged by using indexed classification information and scoring rule, and then final investment decision making information is derived according to daily scoring criteria. For this study, KOSPI index and its fluctuation range has been collected for 63 days that stock market was open during 3 months from July 2011 to September in Korea Exchange, and news data was collected by parsing 766 articles of economic news media M company on web page among article carried on stock information>news>main news of portal site Naver.com. In change of the price index of stocks during 3 months, it rose on 33 days and fell on 30 days, and news contents included 197 news articles before opening of stock market, 385 news articles during the session, 184 news articles after closing of market. Results of mining of collected news contents and of comparison with stock price showed that positive/negative opinion of news contents had significant relation with stock price, and change of the price index of stocks could be better explained in case of applying news opinion by deriving in positive/negative ratio instead of judging between simplified positive and negative opinion. And in order to check whether news had an effect on fluctuation of stock price, or at least went ahead of fluctuation of stock price, in the results that change of stock price was compared only with news happening before opening of stock market, it was verified to be statistically significant as well. In addition, because news contained various type and information such as social, economic, and overseas news, and corporate earnings, the present condition of type of industry, market outlook, the present condition of market and so on, it was expected that influence on stock market or significance of the relation would be different according to the type of news, and therefore each type of news was compared with fluctuation of stock price, and the results showed that market condition, outlook, and overseas news was the most useful to explain fluctuation of news. On the contrary, news about individual company was not statistically significant, but opinion mining value showed tendency opposite to stock price, and the reason can be thought to be the appearance of promotional and planned news for preventing stock price from falling. Finally, multiple regression analysis and logistic regression analysis was carried out in order to derive function of investment decision making on the basis of relation between positive/negative opinion of news and stock price, and the results showed that regression equation using variable of market conditions, outlook, and overseas news before opening of stock market was statistically significant, and classification accuracy of logistic regression accuracy results was shown to be 70.0% in rise of stock price, 78.8% in fall of stock price, and 74.6% on average. This study first analyzed relation between news and stock price through analyzing and quantifying sensitivity of atypical news contents by using opinion mining among big data analysis techniques, and furthermore, proposed and verified smart investment decision making model that could systematically carry out opinion mining and derive and support investment information. This shows that news can be used as variable to predict the price index of stocks for investment, and it is expected the model can be used as real investment support system if it is implemented as system and verified in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.1
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• pp.1-10
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• 2014

The purpose of this following research is to verify influence of brand personality development of domestic Internet shopping malls on consumer satisfaction and intention to revisit. To achieve this purpose, a sample study was carried out on college students in Busan who made a purchase from Internet shopping malls during the past 6 months. In the concrete, 11 shopping malls including general shopping malls and open market that have a high market share were chosen as comparison targets. Materials were collected and analyzed through questionnaire survey. Empirical analysis results are shown as the following. Brand personality dimension of Internet shopping malls are 'competence sophistication', 'vitality', 'warmth' and 'reliability' etc. 'Warmth' and 'reliability' have a significant influence on consumer satisfaction and intention to revisit. In particular, 'reliability' showed bigger influence on intention to revisit Internet shopping malls. In addition, consumer satisfaction showed a meaningful influence on intention to revisit. Specific strategy development is needed to strengthen 'warmth' and 'reliability' among brand personality dimensions.

• Food Science of Animal Resources
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• v.35 no.4
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• pp.459-465
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• 2015

Bovine milk provides essential nutrients, including immunologically important molecules, as the primary source of nutrition to newborns. Recent studies showed that RNAs from bovine milk contain immune-related microRNAs (miRNA) that regulate various immune systems. To evaluate the biological and immunological activity of miRNAs from milk products, isolation methods need to be established. Six methods for extracting total RNAs from bovine colostrums were adopted to evaluate the isolating efficiency and expression of miRNAs. Total RNA from milk was presented in formulation of small RNAs, rather than ribosomal RNAs. Column-combined phenol isolating methods showed high recovery of total RNAs, especially the commercial columns for biofluid samples, which demonstrated outstanding efficiency for recovering miRNAs. We also evaluated the quantity of five immune-related miRNAs (miR-93, miR-106a, miR-155, miR-181a, miR-451) in milk processed by temperature treatments including low temperature for long time (LTLT, 63℃ for 30 min)-, high temperature for short time (HTST, 75℃ for 15 s)-, and ultra heat treatment (UHT, 120-130℃ for 0.5-4 s). All targeted miRNAs had significantly reduced levels in processed milks compared to colostrum and raw mature milk. Interestingly, the amount of immune-related miRNAs from HTST milk was more resistant than those of LTLT and UHT milks. Our present study examined defined methods of RNA isolation and quantification of immune-specific miRNAs from small volumes of milk for use in further analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.305-316
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• 2014

The current global water market has been reshaped with a few multinational water companies, water-specialized companies, and other non-construction companies such as manufacturing and financial companies. Each has different business objectives along with the value chain of water industry. In this context, a SWOT-ANP model is proposed to prioritize strategic alternatives for a non-construction company in Korea and the result is validated through a comparison with the AHP model and real business strategies of the company examined from the recent news reports. The validation was confirmed that the company's strategies are very much similar to the priority list and the rankings of the strategic alternatives are identical with those from AHP model, while the weights are slightly changed from the weights in AHP result.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1400-1412
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• 2006

As PB market segments into premium market, PBs were drawing attentions in terms of creating profits as well as a means to differentiate building up store identity. The purpose of this study makes a comparative study on the difference of consumer attitude formation process in discount store and home-shopping distribution channel which are recently on the upswing. This paper investigated the consumer's attitude formation on the private apparel brand. Subjects of this study were consumers in their $20s{\sim}40s$ who are main customer groups of PBs. The data were analyzed by Structural Equation Modeling and Multi-Group Analysis of Amos 5.0 to verify the difference of the path between store PB and premium PB. Following are the results of the study. Consumer attitude formation path on PB grades showed statistically noticeable difference. In discount store PB, store evaluation didn't directly influence on consumer attitude formation but showed indirect effect. On the other hand, in home shopping premium PB case, product evaluation directly influenced on consumer attitudes with store evaluation. Hedonic attitude dimension connected with behavioral attitude(purchase intention) revealed difference in path. Also consumer's evaluation on variables in model turned out to be different according to brand grade.

• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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• pp.120-131
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• 2005

Nowadays, food style would be changing as western and much like simple. because there was changing for customer both life style and recognition of what the food is, so that the customer would like to get something that has a high qualified and special. In the society changing continuary, the upgraded speed of atmospher and competition between bakery company is running quickly. in order to follow the customer who are different individually and pursuit lots of kind of things. In fact, it's not only making atmosphere that could give relaxation and rich life but also supporting commodity and many kinds of information to effect the sale's effectiveness, so the various alternative need to be checked out to treat the difference of atmosphere. importance of space composition plan considerating specific character is confirmed each commercial area of alternatives. In this study, we want to provide the most important standard of space composition of several visible or invisible environment factor making an bakery store. commercial rights are defferentiated between center commercial land and dwelling commercial land and we can strengthen the competitveness by bringing inspect, analysis, comparison about product make-up price each commercial land in space organixation of in-store actively in the 21 century's new bakery competition. In the 21st century, we should recognize we are in the new period about these a aggressive goal of maximization of sales and performed space construction through plan specialization to build reasonably and effectively. composition plan for store space as composition rate of product would be basic plan. so when the opening store is decided it need to be basic composition plan space which Is proper to situation of area.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.623-632
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• 2018

Both investors and researchers are attentive to the prediction of stock price movement directions since the accurate prediction plays an important role in strategic decision making on stock trading. According to previous studies, taken together, one can see that different factors are considered depending on stock markets and prediction periods. This paper aims to analyze what data mining techniques show better performance with some representative index and stock price datasets in the Korea stock market. In particular, extreme gradient boosting technique, proving itself to be the fore-runner through recent open competitions, is applied to the prediction problem. Its performance has been analyzed in comparison with other data mining techniques reported good in the prediction of stock price movement directions such as random forests, support vector machines, and artificial neural networks. Through experiments with the index/price datasets of 12 years, it is identified that the gradient boosting technique is the best in predicting the movement directions after 1 to 4 days with a few partial equivalence to the other techniques.

• Journal of Labour Economics
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• v.43 no.2
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• pp.135-159
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• 2020

This paper analyzes and compares the effects of various government subsidies to improve labor productivity. Laborers are differentiated in learning ability, and duopsonists in the labor market sequentially determine the quality levels and wages of employed laborers in a two-stage noncooperative game under perfect information. If a subsidy is given to the advanced firm in quality and productivity of labor, that firm will prefer to intensify wage competition due to strengthening its competitiveness in the labor market, and attempt to lower its quality in order to reduce the degree of differentiation in quality. At that time, the other firm wants to avoid competition because of its weakened competitiveness, and may have an incentive to lower the quality level to expand the differentiation. If the government subsidizes low-quality and low-productivity firm, it is motivated to increase its quality level to reduce differentiation due to the strengthening of competitiveness, and its competitor has an incentive to improve the quality to expand the differentiation. And there is no significant difference in whether payments are made to laborers or firms.

• Journal of Labour Economics
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• v.26 no.3
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• pp.1-28
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• 2003

This article examines the employment status of older male workers in the era of industrialization, focusing on the questions of how the extent of pressure toward retirement varied across different occupations, and how it changed over time. A comparison of hazard of retirement across occupations shows that men who had better occupations in terms of economic status and work conditions were less likely to retire than were those with poorer jobs. This result tends to reject the recent view that retirement was more voluntary than forced as early as a century ago. The difficulty faced by older workers in the labor market, as measured by the relative incidence of long-term unemployment, was relatively severe among craftsmen, operatives, and salesmen. In contrast, aged farmers, professionals, managers, and proprietors appear to have fared well in the labor market. The pattern of shifts in the occupational structure that occurred between 1880 and 1940 suggests that industrialization had brought a growth of the sectors in which the pressure toward departure from employment at older ages was relatively strong.