• Journal of Fashion Business
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• 제20권1호
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• pp.53-68
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• 2016

The purpose of this research was to evaluate the possibility of sustainable development of online advertisements conducted by fashion companies. Factors composed of sustainable development indexes of online advertisement that had been developed in previous studies were identified, and then the relevance between purchase intention and advertisement experience was evaluated. An online survey of 573 persons in the 20 to 40 age range who own mobile phone and have experienced online advertisements of a fashion brand or a fashion company was conducted. The data collected from the survey and the results are as follows. First, the validity and reliability from confirmatory factor analysis of six factors (namely, personal information protection, web use infringement, advertisement expression harmfulness, advertisement expression objectivity, emotional responsibility, and environment-friendly) and 21 questions was confirmed. Second, it confirmed that consumers gave low points to the evaluation of sustainable development indexes of online advertisement of fashion companies. In particular, that consumers gave low points with regard to both environmental friendliness and web use infringement. Third, it was identified that personal indexes such as personal information protection, web use infringement, and indexes relating to advertisement expressions do not directly influence the consumer's purchase intention. However, social indexes like emotional responsibility and environmental friendliness do have an influence on the consumer's positive action intention.

• The Journal of Asian Finance, Economics and Business
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• 제7권3호
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• pp.149-156
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• 2020

The study aims to investigate a close relation between macro and non-macro variables on stock performance of tourism companies in Korea. The sample used in this study includes monthly data from January 2001 to December 2018. The stock price index of the tourism companies as a dependent variable are obtained from Sejoong, HanaTour, and RedcapTour as three leading Korean tourism companies that have been listed on the Korea Stock Exchange. This study assesses the tourism stock performance using the quantile regression approach. This study also investigates whether global crisis events as the Iraq War and the global financial crisis as non-macro variables have a significant effect on the stock performance of tourism companies in Korea. The results show that the oil prices, exchange rate and industrial production have negative coefficients on stock prices of tourism companies, while the effects of tourist expenditure and consumer price index are positive and significant. We estimate the result of quantile regression that non-macro determinants have statistically a significant and negative effect on tourism stock performance because the global crisis could threaten traveler's safety and economy. Overall, empirical results suggest that the effects of macro and non-macro variables are statistically asymmetric and highly related to tourism stock performance.

• The Journal of Asian Finance, Economics and Business
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• 제5권3호
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• pp.19-29
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• 2018

This research examined the alternatives of Jensen's alpha (α) estimation models in the Capital Asset Pricing Model, discussed by Treynor (1961), Sharpe (1964), and Lintner (1965), using the robust maximum likelihood type m-estimator (MM estimator) and Bayes estimator with conjugate prior. According to finance literature and practices, alpha has often been estimated using ordinary least square (OLS) regression method and monthly return data set. A sample of 50 securities is randomly selected from the list of the S&P 500 index. Their daily and monthly returns were collected over a period of the last five years. This research showed that the robust MM estimator performed well better than the OLS and Bayes estimators in terms of efficiency. The Bayes estimator did not perform better than the OLS estimator as expected. Interestingly, we also found that daily return data set would give more accurate alpha estimation than monthly return data set in all three MM, OLS, and Bayes estimators. We also proposed an alternative market efficiency test with the hypothesis testing Ho: α = 0 and was able to prove the S&P 500 index is efficient, but not perfect. More important, those findings above are checked with and validated by Jackknife resampling results.

• Journal of Korean Society for Quality Management
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• 제48권2호
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• pp.309-328
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• 2020

Purpose: The purpose of this study is to find a way to improve the quality of medical tourism education services in Korea. Methods: This study used a method of conducting a survey of students who have completed medical tourism education and customer satisfaction coefficient and potential customer satisfaction index were calculated by applying the Kano model. Results: The results of this study are as follows; First, Eight medical tourism education service quality factors were classified as an attractive quality attribute. Second, Thirteen medical tourism education service quality factors were classified as an one-dimensional quality attribute. Third, Online education operation factor was classified as an indifferent quality attribute. Fourth, Instructor quality factor and physical environment quality factor showed relatively high better and high worse coefficients. Finally, According to the PCSI index, it was found that the scope of improvement was the largest when focusing intensively on the quality factors of instructors. Conclusion: This study suggests strategic implications for nurturing excellent professional manpower through quality improvement of education services by identifying the quality factors of major medical tourism education services perceived by students.

• Asian Journal of Business Environment
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• 제3권2호
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• pp.17-22
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• 2013

Purpose - This dissertation is based on previous research, and analyzes processing trade, which constitutes a major section of foreign trade in Shandong Province. Research design, data, and methodology - The study uses the survey data on polarization, which is a vital index reflecting the unbalanced growth of regional economic development. The article introduces the processing trade polarization index, and the processing trade polarization fluctuation rate, to predict the geographical polarization posture and development trends in Shandong Province. Results -The development of processing trade in Shandong Province shows the level of gradient from east to west. The first-line growth pole has been formed and developed, and the initial formation of the diffusion mechanism has taken place. However, coordination problems in accompanying regional development have become increasingly prominent. Conclusions - This study focuses on the development of processing trade strategy and suggests overall coordination of development objectives, using non-balanced development goals. According to regional characteristics and development objectives of the processing trade in Shandong Province, the region around the city is divided into innovation diffusion region, enhanced growth areas, areas expected to undertake development, and areas to upgrade in four levels, given the different policy proposals.

• The Journal of Asian Finance, Economics and Business
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• 제5권1호
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• pp.43-52
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• 2018

This research aims to evaluate the current state of technology of enterprises in Vietnam in comparison with several countries in the AEC economic community, thereby to propose several recommendations to Vietnamese enterprises in order able to promote technology innovation activities, create competitiveness with enterprises in the region. Qualitative research methods are used through statistics and comparative descriptions from data collected from various sources: WEF, World Bank, CIEM, General Statistic Office. The study results show that Vietnamese enterprises still have many limitations in technology, originated from their small business scale (capital and labor), the current research capacity is still low, the funding for this activity is not high and the accessibility of the capital is still difficult. According to the Global Competitiveness Index, Vietnam's science and technology indexes are low compared to other AEC-developed countries including the availability of the latest technology; the acquisition of technology at the enterprise level; the capacity of improvement; quality of scientific research organizations..., which shall be a major barrier for Vietnamese enterprises to have to overcome to be able to create the competitiveness when entering the global market. From then on, the authors proposed solutions for two subjects, enterprises and government, to help Vietnamese enterprises to overcome this barrier.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.779-788
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• 2020

Commercial banks play an important role as the main source of funding in the transition process of Vietnam as a market economy. As a result, enhancing the efficiency and productivity of Vietnamese banks can decrease the lending cost for individuals and enterprises. This study is to measure and analyze the productivity change of Vietnamese banking system in different ownership cohorts and sources of this change during the period of restructuring (2011-2019). The Hicks-Moorsteen total factor productivity index is utilised to measure the productivity change and to identify the sources of this change. For an empirical analysis, the data of 28 Vietnamese commercial banks from 2011 to 2018 is collected from their financial statements including balance sheets and income statements. The results show an increase of Vietnamese bank productivity due to the technological progress. While foreign and joint-venture banks are the most advanced cohort, state-owned banks have the lowest rate of productivity growth. The restructuring program negatively impacts scale efficiency and this measure attributes to a decline in the overall efficiency of the banks. We also found that state-owned commercial banks are the most efficient group in the sense that they can achieve the maximal level of revenue from a given amount of expense.

• Asia Pacific Journal of Business Review
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• 제1권1호
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• pp.1-22
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• 2016

The prediction of prices of agricultural products in the agriculture IT sector plays a significant role in the economic life of consumers and anyone engaged in agricultural business, and as these prices fluctuate more often than do other prices, the prediction of these prices holds a great deal of research promise. For this reason, academic literature has provided studies on the factors influencing the prices of agricultural products and the price index. However, as these factors vary, they are difficult to predict, resulting in the challenge of acquiring quantitative data. China is one example of a country without a reliable prediction system for prices of agricultural products. Fortunately, disclosed heterogeneous data can be found on the Internet, which allows for the effective collection of factors related to the prediction of these product prices through the use of text mining. The data provided online is valuable in that they reflect the opinions of the general public in real-time. Accordingly, this study aims to use heterogeneous data from the Internet and suggest a model predicting the prices of agricultural products before functional analyses. Toward this end, data analyses were conducted on the Chinese agricultural products market, one of the largest markets in the world.

• The Journal of Fisheries Business Administration
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• 제36권1호
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• pp.51-79
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• 2005

The main propose of this study is to analyze of the Chinese Fisheries Products competitiveness in Korean Market. This study was using a model of working partnerships by James C. Anderson & James A. Narus(1990). That is, Support is found for a number of the hypothesized construct relations and in both manufacture firm and distributor firm model, for the respecification of cooperation as an antecedent rather than a consequence of trust. This study was able to apply this model's intention for the relationship between Chinese fisheries products exporter and Korean importer, because I thought that competitiveness of trade market was based on relationship between the two countries traders. The results of this study are summarized as follows. As the above result, the several hypothesized correlation among the factors were significant. These results was tried to apply the competitiveness degree index as main factors among the countries, The method of measuring competitiveness .degree index was [(outcome + influence + communication + coopration + trust + satisfaction) - conflict, In result, China was 21.5583, USA was 20.2667, East Asia was 18.79126, EU was 18.4723, Russia was 16.3858.

• The Journal of Fisheries Business Administration
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• 제42권2호
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• pp.15-30
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• 2011

This study is designed to measure the relative efficiency of regional fishery cooperatives based on Data Envelopment Analysis(DEA) methods. Selecting 40 regional fishery cooperatives in Busan as Decision Making Units (DMUs), the study uses their panel data from 2007 to 2008 to rank the relative efficiency of the DMUs. First, the efficiency score of the DMUs are calculated using CCR, SBM, and super-SMB model. Within the model, input variables are the number of employees and area of fishery cooperatives. Output variables are the amount of deposit money, loan and profit. Based on the efficiency scores calculated from super-SMB model, the efficiency ranking of the DMUs is determined. Second, the differences in average efficiency calculated from the three DEA models are tested using a pair-wise mean comparison test. The results based on the efficiency scores evaluated from super-SMB model show that seven out of the forty DMUs are efficient; among the efficient DMUs, the DMUs that can be benchmarked for inefficient DMUs through the frequency analysis of reference set being identified. Third, the differences in average efficiency of the three DEA models between 2007 and 2008 are tested using pair-wise mean comparison test and the study estimates the efficiency change of the DMUs between 2007 and 2008 using Malmquist productivity index(MPI). Finally, the paper suggests an improved composite DMU superior to the inefficient DMUs evaluated by Super-SBM model.