• Journal of the Korea Convergence Society
• /
• v.10 no.1
• /
• pp.205-214
• /
• 2019

In Korea, the first-price sealed bid auction and the constrained mean-price sealed bid auction(buchal-je in Korean) have been used alternatively as procurement auctions. In this paper, we characterize the constrained mean-price sealed bid auction in the context of mechanism design. We consider the general ?-bidder case in which each bidder has private information. Under the assumptions of uniformly distributed valuations and linear strategies, we derive the equilibrium of the constrained mean-price sealed bid auction. Furthermore, we analyze the efficiency and the expected revenue of this auction mechanism in comparison with the first-price sealed bid auction. Finally, we conclude with the critical remarks on the practical intention of the government which uses this auction.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.17 no.2
• /
• pp.1-10
• /
• 2015

The purpose of the study was to analyze differences in importance of product selection criteria of retail buyers in Dongdaemum market according to price line of products, annual sales volume of the company, and work period as a retail buyer. The study defined a retail buyer as a buyer who buys apparel products in Dongdaemum market for their own stores. The questionnaire developed by the researchers was distributed to 200 retail buyers in Dongdaemun market. One hundred seventy two questionnaires were used in the final analysis. The data were analyzed by common factor analysis, ANOVA, and Tukey's test using SPSS 18.0/Windows. The results showed that product selection criteria were classified into 4 factors: fashion design, price, quality, and assortment. There were significant differences in importance of product selection criteria by retail buyers in Dongdaemum market according to price line of products and annual sales volume of the company, and work period as a retail buyer. The buyers of higher price products showed higher importance in all four factors of the product selection criteria. Also, the buyers of the company with lower annual sales volume considered price factors more important, but the buyers of the company with higher annual sales volume thought quality factor more important. Moreover, the buyer with work period of less than three years regarded price as a more important factor.

• The Research Journal of the Costume Culture
• /
• v.26 no.6
• /
• pp.951-965
• /
• 2018

The purpose of this study was to investigate the effect of perceived risk, community usage motive, and price sensitivity of customers who purchase children's wear directly from overseas on customer satisfaction. Specifically, this study is aimed at verifying the moderating effect of price sensitivity when perceived risk and community usage motive significantly influence customer satisfaction. A survey was conducted among consumers who experienced directly purchasing children's wear from overseas and engaging in communities. A total of 415 questionnaires were distributed, which 41 responses were insincere and excluded; thus, 374 responses were analyzed. Results of this study are as follows. First, the analysis on how perceived risk and community usage motive influence customer satisfaction reveals the significant influence of economic and social psychological risk on customer satisfaction. Moreover, informational, recreational, and social emotional usage motive have a significant influence on customer satisfaction. Second, the effect of perceived risk and community usage motive on customer satisfaction based on different levels of price sensitivity was verified. As a result, delivery and economic risks affect customer satisfaction for consumers with high price sensitivity. Moreover, recreational usage motive has a significant influence on customer satisfaction for high price sensitive consumers. In conclusion, perceived risk negatively impacts customer satisfaction. Therefore, it is essential to provide a system that can reduce the perceived risk of consumers who purchase children's wear directly from overseas.

• The Research Journal of the Costume Culture
• /
• v.29 no.1
• /
• pp.48-64
• /
• 2021

Eco-friendly consumption is a prominent trend in the fashion industry, by which many firms attract the interest of consumers using a green marketing strategy. However, "greenwashing" (caused by distorted, exaggerated, and false information) gives rise to consumer confusion. The purpose of this study is to investigate the effect of consumer confusion and value on price sensitivity and purchase intention. Data was collected from 228 respondents using a questionnaire that was distributed to consumers living in Seoul and Kyunggi, South Korea. The data was analyzed by factor analysis, regression analysis, and Cronbach's alpha using SPSS 23.0. The results were as follows: First, factor analysis showed the consumer value variable was significantly categorized in altruistic and self-expressive values. All variables (altruism, selfexpression, consumer confusion, price sensitivity, and purchase intention) were shown to have significantly good internal validity. Second, altruistic consumer value was shown to positively affect the purchase intention of eco-friendly fashion products, but self-expressive consumer value had no significant effect. Third, consumer confusion on eco-friendly fashion products had a negative effect on purchase intention. Fourth, altruistic and self-expressive consumer values had no effect on price sensitivity. Fifth, consumer confusion on eco-friendly fashion products positively affect price sensitivity. Sixth, price sensitivity on eco-friendly fashion products had a negative effect on purchase intention. Therefore, fashion firms should provide a certified green mark to consumers to eliminate confusion and deliver the right message without greenwashing. Moreover, fashion firms should develop green marketing strategies that are more focused on altruistic consumers.

• Journal of Information Technology Applications and Management
• /
• v.26 no.6
• /
• pp.1-12
• /
• 2019

On the Internet age, the news is generated and distributed not only by traditional news media, but also by a variety of online news media, news platforms, content websites/content farms, and social media. Since it is an easy task to create and distribute news, some of these news reports may contain fake or false facts. In the end, the cyberspace is full of fake or false messages. People may wonder if these fake news actually influence our decision making. In this paper, we discussed a real case of fake news. In this case, a Taiwanese company used some fake news, advertorial news, and news placement to manipulate or influence its stock price and trade volume. We collected all news for the case company during a period of four years and five months (from January 2013 to May 2017). We analyzed the relationship between published news and stock price. Based on the analysis results, we conclude that we should not ignore the influence of news placement and fake business news on the stock price.

• Journal of Digital Convergence
• /
• v.14 no.1
• /
• pp.121-129
• /
• 2016

The purpose of this study is to set a standard for sale prices of supplying apartment houses about decision factors in sale price of supplying apartment houses using Analytic Hierarchy Process. This is done by modeling decision factors in sale price of supplying apartment houses as hierarchy. According to the modeled hierarchy, the relative importance of supplying factors are determined using a survey of a group of real estate experts. In addition, through Analytic Hierarchy Process, the relative importance of phased sale prices of supplying apartment is analyzed in order to set a standard to estimate competitive sale prices of newly supplying apartment houses.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.4
• /
• pp.79-84
• /
• 2023

Apache Spark, which provides the fastest processing speed among recent distributed and parallel processing technologies, provides real-time functions and machine learning functions. Although official documentation guides for these functions are provided, a method for fusion of functions to predict a specific value in real time is not provided. Therefore, in this paper, we conducted a study to predict the value of data in real time by fusion of these functions. The overall configuration is collected by downloading stock price data provided by the Python programming language. And it creates a model of regression analysis through the machine learning function, and predicts the adjusted closing price among the stock price data in real time by fusing the real-time streaming function with the machine learning function.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.1
• /
• pp.167-176
• /
• 2022

By analyzing the impact of oil prices on economic growth, this study has shown a new insight into the link between oil price inflation and economic growth. The primary goal of this study is to determine if oil prices are pro-growth or anti-growth. To provide empirical proof, the series data for both the core and control variables from 1972 to 2020 was used to justify the association on empirical grounds. To account for the presence of a unit root, the Augmented Dickey-Fuller Test was used, and after making the series compatible for co-integration, the Autoregressive distributed lag model was used to determine the empirical estimate. Additionally, the empirical models were used to diagnose heteroscedasticity and autocorrelation. The reference point model reveals that in developing nations like Pakistan, economic growth is anti-growth with an increase in prices, and it responds negatively to economic growth in the long and short run. As a result, oil price inflation in Pakistan fails to have a significant beneficial impact on economic growth in both the long and short run, but it does raise the general price level in the economy.

• The Journal of Industrial Distribution & Business
• /
• v.11 no.2
• /
• pp.17-23
• /
• 2020

Purpose: The purpose of this study is to understand the effect of the unique product recommendation system on customer satisfaction. Research design, data and methodology: The survey method used the self-recording way in which the respondents selected for the study and distributed 300 questionnaires, and with due personal care, researchers collected all the distributed questionnaires. Results: The result implies that the characteristics of the product recommendation system should be more secure and developed. Conclusions: The aspects of the product recommendation system were selected as factors of price fairness, accuracy, and quality through previous studies, and the empirical analysis of the effect of the characteristics of the product recommendation system on customer satisfaction was summarized as follows. Among the attributes of the product recommendation system, the attributes of price fairness, accuracy, and quality affect customer satisfaction. Among them, the beta value of quality was the highest, and the effect of quality was the largest among the three factors. Based on the results of the study, the implications for the characteristics of the product recommendation system are summarized as follows. The aspects of the product recommendation system have a positive effect on customer satisfaction, so it is necessary to fill the needs of consumers based on the survey focused on quality

• Journal of Korean Society for Quality Management
• /
• v.22 no.2
• /
• pp.41-50
• /
• 1994

Consider a canning process where cans are filled with an expensive ingredient. Cans weighting above the specified limit are sold in a regular market for a fixed price, and underfilled cans are emptied and refilled at the expense of a reprocessing cost. In this paper, the effect of measurement error on the determination of the optimal process mean for a canning process is examined. It is assumed that the quantity X of ingredient in a can is normally distributed with unknown mean and known variance, and the observed value Y of X is also normally distributed with known mean and variance. A profit model is constructed which involves selling price. cost of ingredients, reprocessing cost. and cost from an accepted nonconforming can, and methods of finding the optimal process mean and the cutoff value on Y are presented. It is shown that the optimal process mean increases. and the expected profit decreases when the measurement error is relatively large in comparison to the process variance.