• Journal of Labour Economics
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• v.32 no.2
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• pp.95-124
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• 2009

In this article, I were trying to analyze the listed manufacturing companies' trend of productivity and the corporate education & training effect after the financial crisis. According to the analysis, the listed manufacturing companies have decreased their productivity since financial crisis, and from such declining trend. jobless growth and a growth without physical and human capital investment has been observed. Furthermore, there is no efficient labor force coordination within the manufacturing industry; In order to analyze the effect of education & training investment on productivity more deeply, I have practiced the dynamic panel data analysis from constructing the micro panel data which consists of company level information 1997~2008. According to the consequences, dynamic panel data analysis solved the problem of the overestimating education & training effect fairly well.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.16 no.3
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• pp.230-241
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• 2003

Nowadays Aromatherapy has been proved its own superiority and is getting popular for its specipic effects. Then, we can find some of aroma herbs are similar to those of Oriental medicine herbs. The purpose of this study was to identify the heating effect in Fennel essential oil on Aromatherapy, which is known for an effect of Hui-Hyang(Foeniculm vulgare) on Oriental medicine. We studied a patient who has visited Dongseo Oriental Hospital with Handam From November 29th 2001 to April 12th 2003 and has been observed for 5 months. We chose three spots in his body where the temperatures were lower than the other sides over $0.4^{\circ}C$. Then we treated him only with Fennel essential oil for 20 days. We used Digital Infrared Thermographic Imaging to analyze the symptoms and assess the results of treatment. The results we obtained were as follows; 1. Fennel essential oil showed the heating effect at all the three spots on the Handam patient. 2. Fennel essential oil has the characteristics of Warmness and Heat in Oriental Medicine. 3. More studies are needed to analyze what kind of characteristics Other essential oils have by Oriental medical thought for better clinical use in Oriental Medicine.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.99-109
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• 2022

The main reason for the increase in cross-border mergers and acquisitions in developed and emerging countries is globalization and growing economic interdependence across countries. The state of the economy has a significant impact on whether cross-border mergers and acquisitions are encouraged or discouraged by international strategic capital market changes. This study empirically evaluates the influence of determinants of economic development on the scale effect of Cross Border M&As separately on emerging and developed nations as a research gap. We first separated the small and large scale firms based on companies' worth and used panel regression to analyze the impact of GDP, employment rate, and market capitalization on cross-border merger & acquisition deals over the period of 2008-2018. Results indicate that GDP and market capitalization have a positive effect on CBM&A, whereas employment rate has a negative effect on CBM&A deals in large-scale firms of both emerging and developed countries. This study results offer the implication for the potential investors and policymakers to strategically analyze the implementation of cross-border mergers & acquisitions.

• Journal of People, Plants, and Environment
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• v.21 no.6
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• pp.461-471
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• 2018

The role of urban agriculture should not be limited as a small-scale crop cultivation activity as it was, but it has to be considered as an entire process of a agriculture activity for the restoration of the city community. This study is based on the assumption that there has been a significant change in urban lifestyle and urban farming preference, considering the overall improvement in standard of living after implementation of five day work week system. It was conducted for urban citizens who were interested in actual urban agriculture for ages 19 and over who visited the Korea Urban Agriculture Exhibition in 2018. Only 115 valid samples were used for the empirical analysis. To analyze the demographic characteristics and effects of urban agriculture, frequency analysis and descriptive statistics were conducted. In order to analyze the reliability and validity of the measurement variables of the effect, the variables that deteriorate the validity were removed and 15 variables of the urban agricultural effect were selected. According to the result of factor analysis, three factors were extracted as follows: socially sustainable effect, negative effect and economically sustainable effect. In order to examine the effects of urban agriculture depending on income level, the one-way ANOVA, which is a statistical technique for verifying differences in the sample means, was performed. The psychological stability of people, the recovery of humanity through communion with nature, and the vitalization of agriculture linked with local agriculture had significant correlations with income level. The negative effect showed no significant correlation with income level. The improvement of the local environment was found to have an impact in relation with income level. We expect that there will be more studies on policies for the new types and models of urban agriculture in order to make it easier for urban citizens to approach it.

• Journal of Distribution Science
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• v.20 no.5
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• pp.97-104
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• 2022

Purpose: This study intends to analyze the effect of competitor pressure and customer pressure on social media technology use and the value of the business network and their implications for marketing performance. Research design, and methodology: A constructed questionnaire was conducted with 90 respondents of MSME's Business Actors in South Sulawesi Partial Least Square (PLS) analysis was applied to analyze and verify all the data. Results: Competitor pressure has a significant effect on social media technology, Competitor pressure has a positive and significant impact on business network accentuation. Customer pressure has a positive and significant impact on social media technology. Customer pressure has a positive and significant impact on business network accentuation. Social media technology utilization has a significant impact on Business Network Accentuation. Social media technology utilization has a significant effect on Marketing Performance. Business Network has a significant effect on Marketing Performance. Conclusions: It is an important thing for MSMEs to increase the use of social media technology to meet the demands of consumers and pressure from competitors. The use of social media technology must be implemented effectively and efficiently so that it can be utilized as an effective tool for distributing the value that own by a company to improve the company's marketing performance.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.49-57
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• 2013

As 'Big data' has been one of challenging issues, development of new services using Social Network Service (SNS) which is its typical example became active. SNS has developed as a media where everyone communicates at real time and the number of SNS opinion analyzing services is increasing. Meanwhile, new approach to acquire and analyze twitter data becomes necessary in TV advertisement system. This paper proposes LiveAD system, which store and analyze big data such as twitter data as well as analyze TV advertising effect based on twitter data. As a proof of concept, the proposed system has been implemented collecting and analyzing twitter data using Hadoop. The result of collected information over the system increases the chance of analyzing TV advertising effect on twitter in real-time.

• Journal of the Korean Society of Food Culture
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• v.21 no.5
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• pp.536-540
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• 2006

The purposes of this study were 1) to analyze the correlation between Word-of-Mouth(WOM) message sender credibility and WOM effect and 2) to analyze the differences of WOM message sender creadibility and WOM effect in off-line and on-line WOM communication. The messages were created as a form of scenario for this study. Respondents were asked to evaluate the message sender credibility and predict WOM behaviors after reading given scenario. The questionnaires were distributed to 200 customers and a total of 175 questionnaires were used for analysis(87.5%). The statistical analysis was conducted using SPSS Win(12.0) for descriptive analysis, paired t-test, factor analysis, correlation analysis. The positive off-line WOM message sender was considered as more credible(p<.001) than on-line WOM message sender. 'Message sender credibility' is correlated with 'attitude formation' in both channels, but 'reliable' factor of 'credibility' variable is not significantly correlated with 'attitude change'.

• Asia pacific journal of information systems
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• v.27 no.3
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• pp.139-155
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• 2017

As social media are increasingly being used as a marketing platform, electronic word-of-mouth (eWOM) has also become popular in both research and business areas. However, although many studies have examined the effect of eWOM, the products investigated in most of these studies, such as films or books, are not likely to be consumed daily. Therefore, in this study, we analyze the effect of eWOM on low involvement products, which are inexpensive and enough for everyday spending. Given that low involvement products have unique characteristics such as low price, we conduct an experiment using a real sales dataset related to soft drinks. We also analyze the effect of eWOM in two social media platforms. We find that eWOM influences the sales of low involvement products, but such influence is dependent on the characteristic of the social media platform. Based on these results, we suggest that marketers and retailers selling low involvement products must consider eWOM, such as reviews, and differentiate their strategies based on their focused social media platform.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.270-276
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• 2020

In this paper, we analyze the buyer's joint pricing and lot-sizing model in a two-stage supply chain consisting of the supplier, the buyer and the customer. It is assumed that the supplier will permit a certain fixed period for settling the amount the buyer owes to him for the items supplied in order to stimulate the demand for the product. Generally, credit transactions would have a positive effect to the buyer. The availability of credit transactions from the supplier effectively reduces the cost of holding stocks for the buyer and therefore, the buyer has a lot of price options to choose his sales price for a customer in anticipation of increased the customer's demand and, as a result, it will appear to increase the buyer's inventory levels. On the other hand, in the case of decaying products in which their utility decay over time, the decaying rate with time may be expected to reduce inventory levels. In this regard, we need to analyze how much the length of credit period and the decaying rate affect the buyer's pricing and lot-sizing policy. For the analysis, we consider the situation where the customer's demand is represented as a linearly decreasing function of the buyer's sales price. From this perspective, we formulate the buyer's annual net profit and analyze the effect of the length of credit period and decaying rate of the product on the buyer's inventory policy numerically.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.294-297
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• 2004

The purpose of this study was to develop landslide susceptibility analysis techniques using artificial neural networks and then to apply these to the selected study area of Janghung in Korea. We aimed to verify the effect of data selection on training sites. Landslide locations were identified from interpretation of satellite images and field survey data, and a spatial database of the topography, soil, forest, and land use was constructed. Thirteen landslide-related factors were extracted from the spatial database. Using these factors, landslide susceptibility was analyzed using an artificial neural network. The weights of each factor were determined by the back-propagation training method. Five different training datasets were applied to analyze and verify the effect of training. Then, the landslide susceptibility indices were calculated using the trained back-propagation weights and susceptibility maps were constructed from Geographic Information System (GIS) data for the five cases. The results of the landslide susceptibility maps were verified and compared using landslide location data. GIS data were used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool to analyze landslide susceptibility.