• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5403-5410
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• 2013

This study investigated the effect of symbolic meanings of the artwork objectives on auction price. Based on Buck(1948)'s House-Tree-People(H-T-P) model, we hypothesized that symbolic meanings of these objectives invoke preferences of bidders and increase the price. Using 402 auction price data from June 2010 to May 2011, we found that an artwork including house and people tend to be auctioned off at a higher prices than the artwork without them. This study confirmed that Buck's model can be used to determine artwork price, suggesting that symbolic objectives in the artwork do affect its price.

• International Commerce and Information Review
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• v.7 no.4
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• pp.59-76
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• 2005

In this research, electronic commercial web-sites of artwork are analysed with ten marketing success factors such as, low price, variety of products convenience of shopping, ensure credibility DB marketing, providing information, virtual community, preoccupying the marketing, quick response, and strategic cooperation. The analysis showed that the main problem of the Korean fine art market is the lack of demand. Though the problem of the offline fine art market is not to be solved by websites, it seems that the solution should be brought through the operation of websites with long-term plans and patience.

• Review of Culture and Economy
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• v.21 no.1
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• pp.85-104
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• 2018

The studies related to the price of artworks have focused on how factors that are determined on production level, such as artists and the artwork materials of the studies, affect the artwork prices. As 'Dansekhwa' is in the spotlight within local Korean art auction matket, this study would like to analyze the trend of the price changes of 'Dansekhwa' with its growing popularity among the public. We have estimated the price changes based on 4,199 auction data of 20 artists with top 20 auction prices selected by the Korean Art Price Appraisal Association, between 2005 and 2016. Also, in order to compare and analyze the price changes of the 'Dansekhwa' products, we have classified the 20 artists into groups of Dansekhwa and non-Dansekhwa. Starting from 2013, when Dansekhwa has first appeared, we applied the Difference in the Difference model(DiD) to estimate the result. As a result, the difference between two groups showed 71% of price difference due to the increase in popularity of Dansekhwa. This result proves that recognition level has an important role for increase in price of an artwork. Moreover, the fact that the formalized style of Dansekhwa has linked to the appreciation of the price means that production of information could play an essential role in growth of art market. As recognition level of Korean artists and their artworks is considerably low within the local art market, putting in the effort to increase the popularity of artworks among the public might be a helpful way to magnify the potential demand.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.687-700
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• 2019

Purpose: The purpose of this study is to investigate the interaction effects between price determinants of artworks. We expand the methodology in art market by applying machine learning techniques to estimate the price of artworks and compare linear regression and machine learning in terms of prediction accuracy. Methods: Moderated regression analysis was performed to verify the interaction effects of artistic characteristics on price. The moderating effects were studied by confirming the significance level of the interaction terms of the derived regression equation. In order to derive price estimation model, we use multiple linear regression analysis, which is a parametric statistical technique, and k-nearest neighbor (kNN) regression, which is a nonparametric statistical technique in machine learning methods. Results: Mostly, the influences of the price determinants of art are different according to the auction types and the artist 's reputation. However, the auction type did not control the influence of the genre of the work on the price. As a result of the analysis, the kNN regression was superior to the linear regression analysis based on the prediction accuracy. Conclusion: It provides a theoretical basis for the complexity that exists between pricing determinant factors of artworks. In addition, the nonparametric models and machine learning techniques as well as existing parameter models are implemented to estimate the artworks' price.

• Korean Association of Arts Management
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• no.51
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• pp.191-219
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• 2019

Adoption of applicable law for the international trade of artworks is closely related to the results of lawsuits. Recently, starting with New York, the hub of the international artworks market, a modern, mixed-law is gradually being adopted more. It is difficult to designate an applicable law of an international trade of artworks through private laws regulations of relevant countries, and the public laws regulations must also be considered in relation to individual benefits and the public benefits to the relevant countries. With regards to the foreign relations issues, Korea's private international law embraces a so-called public order theory, and according to the Section 7 of the Act on the Private International Law and its enactment history, the compulsory provision, which seems appropriate for application to the corresponding matter, applies without regards to the selection of the applicable law. The Civil Act of Korea acknowledges bona fide acquisition of a cultural asset, in principle, if the Cultural Heritage Protection Act is not applicable. Moreover, a lost artwork is also a subject of bona fide acquisition; however, if the relevant artwork is either stolen or lost, the original owner has the right to demand the return of that artwork within 2 years of being stolen or lost according to the Section 250 of the Civil Act. Also, if the buyer purchased from a distributor specializing in the artworks, such as auction, open market or gallery, the buyer could request a compensation of the purchase price from the original owner, and if the buyer purchased through a private transaction, the buyer cannot demand a compensation of the purchase price and must return the artwork.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.533-543
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• 2023

This study explores the influence of the COVID-19 pandemic on the Korean art market and contrasts the classic hedonic method of art price prediction with the Artificial Neural Network technique. The empirical analysis of this paper utilizes 14,639 observations of Korean art auction data from 2015 to 2021. There are three types of variables in this study: artist-related, artwork-related, and sales-related. Previous studies have suggested that these three types of variables influence art prices. The empirical findings in this research are in twofold. First, in terms of RMSE and R², the Artificial Neural Network outperforms the hedonic model. Both techniques discover that sales and artwork variables have a greater impact than artist-related attributes. Second, when the primary factors of art price are controlled, Korean art prices are found to fall dramatically in 2020, shortly following the onset of COVID-19, but to rebound in 2021. The main lesson in this study is that the Artificial Neural Network enhances art price prediction and reduces information asymmetry in the Korean art market even in the face of unanticipated turmoil such as the COVID-19 outbreak.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.600-611
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• 2016

This study examined the impacts of types of titles of artworks, especially 'untitled', on audience reponse. Generally, naming can be a tool to represent characteristics of objects, affecting their market value and price. Since contemporary artworks are often untitled, this study aimed to investigate how naming 'untitled' would affect audience response. As the size of arts market increasing, how the audience, potential buyer of artworks, responds to artworks is important. Based on prior research, we hypothesized that the audience would have different level of understanding, attention, attractiveness and curiosity to untitled artworks, controlling other factors. In the regression results from the data of 305 respondents, we found that people had significantly lower level of understanding and attention on untitled artworks than on artworks of explanatory or associative titles. In addition, respondents showed significantly higher level of curiosity when the artwork was an painting. This study confirmed the assertions of prior research that titles are indeed important, and further implied that artwork creators should be more concerned on naming their artworks since titles as well as artworks themselves could actually affect audience response.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.219-224
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• 2020

One of the main reasons for the commercial failure of various early blockchain-based art trade platforms, including Maecenas, is the lack of clear ways for owners to fully restore ownership of artworks. In this paper, we proposed a procedure for the owner of the artwork to rebuy shares and restore his or her entire ownership in the blockchain system. Using the proposed procedure, we can find a balanced price between the owner and investors, and then restore ownership through a public purchase of the stake. The balanced price can be induced by penalizing the owner for proposing unreasonably low price, and by rewarding investors for deciding reasonable prices. The proposed procedure of restoring ownership is expected to be utilized not only on the block chain-based art trading platform but also on the block chain-based trade platform in other applications.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.215-221
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• 2019

The development of blockchain-based art trading platforms has not been revitalized despite the recent recovery of the cryptocurrency market. In this paper, we found that blockchain-based art trading platform is not revitalized due to the large volatility of cryptocurrency price. As a solution, we propose a trading system using dual types of cryptocurrency that one is Stablecoin and the other is legacy cryptocurrency. Through cryptocurrency dualization, the proposed system can satisfy both user's requirements of stability of art price and value growth of the blockchain system. In addition, the proposed system is expected to be able to balance the use of dual cryptocurrencies and market capitalization ratios according to market principles. Finally, the proposed cryptocurrency dualization is expected to be used in other applications that require both the stability of the value of transactions and the growth of the value of the blockchain system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4432-4439
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• 2012

Previous studies on art pricing mostly focused on auction data because of the limitation of non-auction market data. This study investigated on both auction and non-auction markets to see the difference in art pricing mechanisms of both markets. Especially, while prior hedonic models included only quantatative variables to predict art prices, we added a qualitative measure, artistic value of a artwork, along with the original hedonic model to develop a more comprehensive model, and tested if his change may make more precise predictions. As a result, when we did not divide our data into auction and non-auction groups, we did not find any significant difference between the original hedonic model and the new model including artistic value. However, when we separated non-auction group from auction group, we found that predicted prices in the new model showed significantly closer values to the actual prices. This study contributes to our knowledge on art pricing by showing that artistic value may have important but differential impacts on different art dealing channels.