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    가격결정요인분석을 통한 미술품 온라인 경매 특성 연구

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    As the interests of arts market and the investment increases, the artwork auction market is growing very quickly. The global artwork auction market has grown from $3.6 billion in 2004 to $13 billion in 2010, and so did the domestic artwork auction market. With this expansion, a new area emerged: the online artwork auction market. Since 2006, as the offline artwork auction market grew very quickly, the online artwork auction market also grew quickly. Previous studies have suggested that the online artwork auction would be a reasonable alternative to offline artwork auction market. This study empirically shows if online artwork auctions could be better in mitigating winner`s curse problems than traditional offline artwork auctions in Korea. In this study, we used action fetching price data of 3,108 paintings by Korean artists which have been sold over the period from June 2010 to March 2011 provided by Korean Art Price Appraise Association. We analyzed the impacts of price determinants that were found in previous studies on the fetching price. The price determinants include artists` reputation, material of paintings, and size of paintings. We also controlled artists` survival status, types of objects paintings, and timing of the sales of the paintings. First, artists` reputations have positive and significant influence on both online and offline auction fetching prices. To see the different impacts between online and offline action prices, we conducted t-test and found that the t-value of online auction(t-value= 6.737) was lower than that of offline auction(t-value=16.103). So we confirmed that online auction price is less affected by artist`s reputation than offline auction price is. Second, material of paintings had different impacts on fetching prices of online and offline auctions. We found all positive and significant relationships between types of materials and offline auction fetching prices, but no relationships were found to online prices. Thus, material of paintings does have different impacts on online and offline fetching prices as expected. Third, size of the paintings have significant impacts on both online and offline auction fetching prices. We couldn`t find any difference between size impacts on fetching price of two auctions. Thus, the hypothesis on this was not supported. Next, we investigated if there are differences in the fetching prices compared to the estimate prices between online and offline auctions. We found that the average of online artwork auction fetching prices over estimate prices was 0.724, which was significantly lower than the average of offline fetching/estimate prices of 1.996. This means online bidders buy paintings at far lower price than offline bidders do. We could figure out that the online art auctions have many differences compare to offline art auctions. The difference may come from the fact that online art auctions have more accessibility without space and time limitations than offline ones, and online buyers would be more sensitive to price due to the lack of first-hand looking. The fact that online fetching prices compared to estimate prices are lower that offline cases would imply that online buyers could collect information actively not only from the information that auction company provides but also from other sources. It can be interpreted that online buyers would show more reasonable and rational behaviors than offline buyers. This may imply that online artwork auction market could be a proper alternative to offline artwork auction market where winner`s curse problems exist. Thus, we empirically show and support the rational of the online artwork auction market.
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    As the interests of arts market and the investment increases, the artwork auction market is growing very quickly. The global artwork auction market has grown from $3.6 billion in 2004 to $13 billion in 2010, and so did the domestic artwork auction mar...

    As the interests of arts market and the investment increases, the artwork auction market is growing very quickly. The global artwork auction market has grown from $3.6 billion in 2004 to $13 billion in 2010, and so did the domestic artwork auction market. With this expansion, a new area emerged: the online artwork auction market. Since 2006, as the offline artwork auction market grew very quickly, the online artwork auction market also grew quickly. Previous studies have suggested that the online artwork auction would be a reasonable alternative to offline artwork auction market. This study empirically shows if online artwork auctions could be better in mitigating winner`s curse problems than traditional offline artwork auctions in Korea. In this study, we used action fetching price data of 3,108 paintings by Korean artists which have been sold over the period from June 2010 to March 2011 provided by Korean Art Price Appraise Association. We analyzed the impacts of price determinants that were found in previous studies on the fetching price. The price determinants include artists` reputation, material of paintings, and size of paintings. We also controlled artists` survival status, types of objects paintings, and timing of the sales of the paintings. First, artists` reputations have positive and significant influence on both online and offline auction fetching prices. To see the different impacts between online and offline action prices, we conducted t-test and found that the t-value of online auction(t-value= 6.737) was lower than that of offline auction(t-value=16.103). So we confirmed that online auction price is less affected by artist`s reputation than offline auction price is. Second, material of paintings had different impacts on fetching prices of online and offline auctions. We found all positive and significant relationships between types of materials and offline auction fetching prices, but no relationships were found to online prices. Thus, material of paintings does have different impacts on online and offline fetching prices as expected. Third, size of the paintings have significant impacts on both online and offline auction fetching prices. We couldn`t find any difference between size impacts on fetching price of two auctions. Thus, the hypothesis on this was not supported. Next, we investigated if there are differences in the fetching prices compared to the estimate prices between online and offline auctions. We found that the average of online artwork auction fetching prices over estimate prices was 0.724, which was significantly lower than the average of offline fetching/estimate prices of 1.996. This means online bidders buy paintings at far lower price than offline bidders do. We could figure out that the online art auctions have many differences compare to offline art auctions. The difference may come from the fact that online art auctions have more accessibility without space and time limitations than offline ones, and online buyers would be more sensitive to price due to the lack of first-hand looking. The fact that online fetching prices compared to estimate prices are lower that offline cases would imply that online buyers could collect information actively not only from the information that auction company provides but also from other sources. It can be interpreted that online buyers would show more reasonable and rational behaviors than offline buyers. This may imply that online artwork auction market could be a proper alternative to offline artwork auction market where winner`s curse problems exist. Thus, we empirically show and support the rational of the online artwork auction market.

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    참고문헌 (Reference)

    1 최병식, "한국 미술품 유통의 구조와 개선방안연구 : 한국과 프랑스의 미술품 경매시장 비교를 중심으로" 5 (5): 47-68, 2002

    2 조영화, "한국 미술품 경매제도의 현황과 문제점의 개선방안 연구" 2 : 191-224, 2000

    3 김춘수, "정보시스템이용자의 특성과 시간의 제약정도가 의사결정성과에 미치는 영향에 관한 연구" 한국경영교육학회 34 (34): 3-15, 2004

    4 이화순, "인터넷 미술품 경매 현황과 발전 방안에 관한 연구" 중앙대학교 예술대학원 2001

    5 김성언, "인터넷 경매의 고객 참여의도에 영향을 미치는 요인에 관한 연구" 한국경영교육학회 39 (39): 43-67, 2005

    6 이승창, "인터넷 경매에서 플로우의 형성요인과브랜드 자산에 미치는 영향" 한국전자거래학회 13 (13): 55-82, 2008

    7 김민영, "의사결정의 판단 기준과 정보 선택에 있어서경험과 맥락의 영향-조종사를 대상으로-" 한국산업및조직심리학회 18 (18): 225-246, 2005

    8 조성룡, "온라인 미술품 유통관련 판매사의 마케팅 전략분석과 소비자욕구에 관한 연구" 1 : 93-126, 2008

    9 남윤오, "온라인 미술품 경매 시스템에 대한 연구 : 미술품 경매의 역사 및 사례 연구와 온라인 미술품 경매 시스템의 설계 및 구현" 한세대학교 대학원 2008

    10 "서울옥션 2011년 사업보고서"

    1 최병식, "한국 미술품 유통의 구조와 개선방안연구 : 한국과 프랑스의 미술품 경매시장 비교를 중심으로" 5 (5): 47-68, 2002

    2 조영화, "한국 미술품 경매제도의 현황과 문제점의 개선방안 연구" 2 : 191-224, 2000

    3 김춘수, "정보시스템이용자의 특성과 시간의 제약정도가 의사결정성과에 미치는 영향에 관한 연구" 한국경영교육학회 34 (34): 3-15, 2004

    4 이화순, "인터넷 미술품 경매 현황과 발전 방안에 관한 연구" 중앙대학교 예술대학원 2001

    5 김성언, "인터넷 경매의 고객 참여의도에 영향을 미치는 요인에 관한 연구" 한국경영교육학회 39 (39): 43-67, 2005

    6 이승창, "인터넷 경매에서 플로우의 형성요인과브랜드 자산에 미치는 영향" 한국전자거래학회 13 (13): 55-82, 2008

    7 김민영, "의사결정의 판단 기준과 정보 선택에 있어서경험과 맥락의 영향-조종사를 대상으로-" 한국산업및조직심리학회 18 (18): 225-246, 2005

    8 조성룡, "온라인 미술품 유통관련 판매사의 마케팅 전략분석과 소비자욕구에 관한 연구" 1 : 93-126, 2008

    9 남윤오, "온라인 미술품 경매 시스템에 대한 연구 : 미술품 경매의 역사 및 사례 연구와 온라인 미술품 경매 시스템의 설계 및 구현" 한세대학교 대학원 2008

    10 "서울옥션 2011년 사업보고서"

    11 이우채, "미술품과 관련하여 4P, 4C를 이용한 인터넷경매운영분석" 46 : 1-18, 2005

    12 남준우, "미술품(그림) 가격의 결정 요인 분석: 호당가격제가 성립하는가" 한국경제학회 56 (56): 139-161, 2008

    13 조선일보, "미술품 온라인 경매 인기 – 오프라인서 확인하고 집에서 클릭"

    14 조현승, "미술품 경매시장에서의 가격결정요인 분석" 한국산업조직학회 17 (17): 73-95, 2009

    15 남준우, "미술품 가격 결정 요인과 투자 수익률 분석" 한국경제학회 59 (59): 5-24, 2011

    16 최병식, "미술시장과 아트딜러" 동문선 2008

    17 이우채, "마케팅적 성공요인 관점에서 본 미술품 전자상거래분석" 한국통상정보학회 7 (7): 58-76, 2005

    18 이지은, "국내 미술품 유통시장에 관한 연구 : 경매회사를 중심으로" 신라대학교 대학원 2008

    19 권혁인, "국내 미술시장의 핵심문제 도출을 위한 탐색적 연구" 한국문화산업학회 11 (11): 131-148, 2011

    20 Arkes, H. R., "The psychology of sunk cost" 35 : 124-120, 1985

    21 Staw, B. M., "The escalation of commitment: An update and appraisal, In Organizational decision making" Cambridge University Press 191-215, 1997

    22 Bajari, P., "The Winner's Curse, Reserve Prices and Endogenous Entry : Empirical Insights from eBay Auctions" 34 (34): 329-355, 2003

    23 Kagel, J. H., "The Winner's Curse and Public Information in Common Value Auctions" 76 (76): 894-920, 1986

    24 Kazumori, E., "Selling Online Versus Offline: Theory and Evidences From Sotheby’s" 125-133, 2003

    25 이학식, "SPSS12. 0매뉴얼" 법문사 2005

    26 Chan, H. C-C., "Online Auction Customer Segmentation Using a Neural Network Model" 3 (3): 101-109, 2005

    27 Robinson, L., "Online Art Auctions a la Francaise and a l’Americaine" 24 (24): 426-444, 2006

    28 Cannon-Bowers, "Individual and team decision making understress : Theoretical underpinnings" 1 : 7-38, 1998

    29 Agnello, J. R., "Financial Returns, Price Determinants, and Genre Effects in American Art Investment" 20 : 359-383, 1996

    30 Higgs, H., "Financial Returns and Price Determinants in the Australian Art Market" 81 (81): 113-123, 2005

    31 Highfill, J., "Bidding and Prices for Online Art Auctions : Sofa Art or Investment" 31 : 279-292, 2007

    32 Turban, E., "Auctions and Bidding on the Internet : An Assessment" 7 (7): 7-11, 1997

    33 Artprice, "Art Market Trends 2010"

    34 이병태, "An Empirical Evidence of Winner`s Curse in Electronic Auction" 48 : 465-471, 1999

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2022 평가 계속평가 신청대상 (등재유지)
    2017-01-01 등재 우수등재학술지 선정 (계속평가)
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재 1차 FAIL (등재유지) KCI등재
    2006-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2004-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2001-07-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    1999-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 1.45 1.45 1.48
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    1.64 1.69 2.793 0.2
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