The purpose of this study is to construct an outlook model that is consistent with the "Fisheries Outlook" monthly published by the Fisheries Outlook Center of the Korea Maritime Institute(KMI). In particular, it was designed as a partial equilibrium model limited to abalone items, but a model was constructed with a dynamic ecological equation model(DEEM) system taking into account biological breeding and shipping time. The results of this study are significant in that they can be used as basic data for model development of various items in the future. In this study, due to the limitation of monthly data, the market equilibrium price was calculated by using the recursive model construction method to be calculated directly as an inverse demand. A model was built in the form of a structural equation model that can explain economic causality rather than a conventional time series analysis model. The research results and implications are as follows. As a result of the estimation of the amount of young seashells planting, it was estimated that the coefficient of the amount of young seashells planting from the previous year was estimated to be 0.82 so that there was no significant difference in the amount of young seashells planting this year and last year. It is also meant to be nurtured for a long time after aquaculture license and limited aquaculture area(edge style) and implantation. The economic factor, the coefficient of price from last year was estimated at 0.47. In the case of breeding quantity, it was estimated that the longer the breeding period, the larger the coefficient of breeding quantity in the previous period. It was analyzed that the impact of shipments on the breeding volume increased. In the case of shipments, the coefficient of production price was estimated unelastically. As the period of rearing increased, the estimation coefficient decreased. Such result indicates that the expected price, which is an economic factor variable and that had less influence on the intention to shipments. In addition, the elasticity of the breeding quantity was estimated more unelastically as the breeding period increased. This is also correlated with the relative coefficient size of the expected price. The abalone supply and demand forecast model developed in this study is significant in that it reduces the prediction error than the existing model using the ecological equation modeling system and the economic causal model. However, there are limitations in establishing a system of simultaneous equations that can be linked to production and consumption between industries and items. This is left as a future research project.
Purpose - This study examines the effects of purchasing factors of consumers based on customer satisfaction and repurchasing intention buying through Internet shopping malls. The subject of this study are Chinese residents who have lived over a year in Korea. Research design, data, and methodology - In this study, former research related with internet shopping malls' customer satisfaction and repurchase intention was revised. Based on past research, the internet shopping mall purchasing factors divided to 4 factors; factors of product, price, service, and promotion. 5 hypotheses were made. They are
Product factors of internet shopping malls have meaningful effect to customer satisfaction,
Price factors of internet shopping malls have meaningful effect to customer satisfaction,
Service factors of internet shopping malls have meaningful effect to customer satisfaction,
Promotion factors of internet shopping malls have meaningful effect to customer satisfaction,
Customer satisfaction factors of internet shopping malls have meaningful effect to customer repurchase intention. Measurements developed 4~5 items to each factor and questionnaires were made. The survey was conducted on 1,000 Chinese people. Out of 292 surveys, 9 were excluded which responded nothing or were unfilled. Finally 283 surveys were used in empirical analysis with SPSS 22.0 statistical program. Hypotheses were verified by structural equation modeling. Results - The following conclusions are shown in the empirical study. First, the service and promotion factors of internet shopping mall have effects on customer satisfaction. Second, customer (Chinese people who live in Korea) satisfaction have effects on repurchase intention. Third, the products value and price level of internet shopping mall have strong effects on repurchasing intention. Conclusions - There are suggestions that Chinese customers satisfied with Korean internet shopping malls might increase their royalty to the shopping malls as possibility of repurchase arises. This study has differentiating points with preceding researches that subjected residents in Korea. But there are limitations that this study also used purchasing factors used in preceding studies. Also this study has limitations, such as generalization in global market circumstances because this study subjected only Chinese people and not global customers. Therefore, further study executed complementary with those limitations would be an interesting study.
Journal of the Korea Academia-Industrial cooperation Society
/
v.18
no.9
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pp.315-321
/
2017
This study investigated the problems of the tourism industry mostly focusing on the Chinese market and proposed strategic orientations by analyzing the inbound tourists from various countries. The study analyzed the relationships among satisfactions and expenditures of shopping, food, transportation, accommodation and intention to revisit for the inbound tourists in Korea and explored the differences in the relationships across the countries. The study results were analyzed via structural equation modeling (SEM) using AMOS with the data for inbound tourists in 2015. The results are summarized as follows. First, for Japanese tourists, the expenditures of accommodation, shopping and transportation were significantly related to their satisfaction, respectively, while for Chinese tourists, all the expenditures were significantly related to satisfaction in all areas. Expenditures of shopping and food for Southeast Asian tourists, of accommodation and shopping for North American tourists, and of shopping and transportation for European tourists had significant effects on satisfactions. Second, for Japanese tourists, shopping, food, and transportation satisfactions were significantly related to intention to revisit, while for North American and European tourists, all satisfactions but transportation satisfaction were significantly related to intention to revisit. The study results reveal the need to develop new products for various reasons of visit Korea for various countries and that our government will have to determine and solve the problems and meet the demands from the inbound tourists from various countries in terms of shopping and transportation.
Until comparatively lately, the annual time series of the $SO_2$ concentration had been shown in a decreasing trend in Ulsan as well as other Korean cities. However, the high concentration of $SO_2$ was frequently found in the specific countermeasure region including the national industrial complex such as Mipo and Onsan in the Ulsan city for the period of $2001{\sim}2004$. There are many conditions that can influence the high concentration of $SO_2$ at monitoring sites in Ulsan, such as: First, annual usage of the fuel including sulfur increased in comparison with the year before in spite of the fuel conversion policy which wants to use low sulfur oil less than 3% and LNG. Second, point source, such as the power plants and the petroleum and chemistry stacks, was the biggest contributor in $SO_2$ emission, as a analyzed result of both the air quality modeling and the stack tole-monitoring system (TMS) data. And third, the air pollutants that occurred in processes of homing and manufacturing of the fuel including sulfur were transported slow into a special monitoring site by accumulating along the frontal area of see-breeze. It was concluded that Ulsan's current environmental policy together with control methods should be changed into the regulation on total amount of emission, including a market-based emission trading with calculating of atmospheric environmental critical loads, for the $SO_2$ reduction like the specific countermeasure for the $O_3$ and PM10 reduction in the Seoul metropolitan area. And this change should be started in the big point sources of $1{\sim}3$ species because they are big contributors of Ulsan's $SO_2$ pollution. Especially it is necessary to revitalize of the self-regulation environmental management. Other control methods for sustaining the $SO_2$ reduction are as follows: maintenance of the fuel conversion policy, reinforcement of the regional stationary source emission standard, and enlargement of the stack TMS.
With economic development and ever-changing technology, human has entered the era of "Product-as-a-Service". At the same time, the update of the product gradually accelerated. The demand of consumers for products are slowly changed, they pay more attention to convenience, comfort and reliable quality and safety of the product. That is the humanized design problem that often mentioned in the product design. This also put forward new requirements for the design and development of product modeling. So how to reflect the humanized ideas in the product design has also become common focus of attention of product designers, users and producers of a new era. The paper is based on the principles of ergonomics to investigate and improve the daily life utensil - flashlight. Firstly, make a sample survey of the flashlight in Beijing market and analyze the characteristics and problems of flashlight products. Secondly, explore the use of the flashlight and proposed Flashlight curved grip design to reduce the occurrence of wrist discomfort and damage to the body caused by poor posture of the operation of users. Finally, determine the range of the length and width of the body of the flashlight according to the length and width measurement data of the Chinese palm. Wishing that the improvements of flashlight products in ergonomics can improve use of feelings of these products and give a theoretical guidance for solving similar problems.
This paper intends to analyze economic impacts of commitment period and initial allocation in emissions trading using computable general equilibrium (CGE) modeling. The fully dynamic CGE model with perfect foresight assumption is employed to illustrate (i) how a model displays economic impact of $CO_2$ regulation upon different commitment periods: one-year budget clearing vs. 5-year commitment period, (ii) how major 8 energy-intensive industries respond to different ways to allocate initial allowances. According to the results of the analysis, it IS found that market players are motivated to bank the permits and tend to sell permits in earlier stage and to buy permits in later stage of commitment period. This implies that banking allows permit trading within a commitment period, which supports the conclusions of Kling and Rubin (1997). Other findings are related to efficiency. That is, emissions trading surpasses command and control, in terms of economic efficiency and longer terms of commitment period converge on lower permit price, In long term, initial allocation based on value-added performs the lowest GDP loss among different initial allocations.
Kim, Jongsung;Kim, Sun-Kyum;Seo, Myoung-Bae;Kim, Tae-Hoon;Ju, Ki-Beom
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.11
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pp.53-61
/
2017
Recently, there has been an increase in the number of web-based three-dimensional (3D) printing-related service platforms, which allow consumers to collect 3D modeling data, make requests for production, and receive goods through a distribution service using the service platform. The application of 3D printing technology has been expanded to the construction field, yet no guidelines for the related service platform or operation examples can be found. Therefore, the functions of 10 web-based 3D printing service platforms actively used in other industries were investigated and analyzed in this study, and the analysis results were used as a guideline to develop a 3D printing service platform for the construction industry. In addition, the design, construction and distribution services to be equipped with the construction 3D printing service integration platform were presented by creating the driving scenario of the platform. As 3D printing technology develops, the overall construction and architectural paradigms for design, construction and distribution will change. To prepare for such changes and to pioneer the digital construction market in the future, the role of the 3D printing service platform is expected to increase continually.
This paper's purpose is three-folded: modeling the self-regulating fire prevention system, developing a packet of practical fire prevention measures and regulations, and reviewing the applicability of fire insurance system in Korea as a main components of the self-regulating fore prevention system. The so called self-regulating fire prevention system is defined as a grand national fire prevention framework based on and promoted by the vitality and creativeness of the market (or private sector). This drastically contrasts with the existing government-led fire prevention system in Korea. The self-regulating fire prevention system has three grounds: the principle of self-responsibility, the redefinition of the fire service as a public goods, and the principle of self-selection. It seems natural that the self-regulating fire prevention system requires the function of fire insurance institution as a pivoting mechanism providing individual decision makers with a system of incentives, resulting in rational behaviors in the part of each individuals and in the well-balanced fire prevention network in the part of the overall public. In this regard, this pilfer examines the institutions and performance of the fire insurance industry in Korea and reviews the limitation of the industry as an instant replacement mechanism of the current government-led fire prevention system in Korea.
With business environments around the world facing uncertainty and complexity, companies have focused on supply chain management as one of the essential elements in securing a competitive advantage. Successful supply chain management requires internal efforts to strengthen the core competencies of the company and the integration of individual functions in the supply chain. This study aims to investigate the effect of information sharing between companies on supply chain integration and corporate performance. The research hypothesis established in previous studies was analyzed using structural equation modeling. A total of 723 questionnaire responses were used to test the hypotheses of this study. We found that the integration and sharing of information between companies have a great influence on supply chain integration, which has positive effects on corporate performance at the operational and strategic levels, including finance, market share, and customer satisfaction. The integration of supply chains via information integration and sharing between companies can promote the flow of information, services, goods, and money. Therefore, if information is disconnected between actors in the supply chain, it will lead to negative effects on the management of the entire supply chain. On the other hand, if supply chain actors can share information efficiently in real time on one platform, they can expect to optimize the entire supply chain. Information sharing and integration at the strategic and operational levels play a vital role in supply chain integration, which contributes to achieving a company's performance targets and enhancing its competitiveness.
An, JungKook;Lee, So-Hyun;An, Eun-Hee;Kim, Hee-Woong
Informatization Policy
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v.23
no.3
/
pp.26-42
/
2016
Recently, with the rapid growth of the O2O market, Fintech combining the finance and ICT technology is drawing attention as innovation to lead "O2O of finance", along with Fintech-based payment, authentication, security technology and related services. For new technology industries such as Fintech, technical sources, related systems and regulations are important but previous studies on Fintech lack in-depth research about systems and technological trends of the domestic Fintech industry. Therefore, this study aims to analyze domestic Fintech trends and find the insights for the direction of technology and systems of the future domestic Fintech industry by comparing Kakao Pay and Samsung Pay, the two domestic representative mobile payment services. By conducting a complete enumeration survey about the tweets mentioning Fintech until June 2016, this study visualized topics extraction, sensitivity analysis and keyword analyses. According to the analysis results, it was found that various topics have been created in the technologies and systems between 2014 and 2016 and different keywords and reactions were extracted between topics of Samsung Pay based on "devices" such as Galaxy and Kakao Pay based on "service" such as KakaoTalk. This study contributes to analyzing the unstructured data of social media by period by using social media mining and quantifying the expectations and reactions of consumers to services through the sentiment analysis. It is expected to be the foundation of Fintech industry development by presenting a strategic direction to Fintech related practitioners.
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