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중고 자동차 선택시 구매경로별 선호속성에 관한 융합적 시각

A Convergent Perspective on Preference Attributes by Purchase Channel Choosing Used Cars

  • 변현수 (국립 한국교통대학교 행정정보학과)
  • Byeon, Hyeonsu (Department of Public Management Information System, Korea National University of Transportation)
  • 투고 : 2017.01.17
  • 심사 : 2017.03.20
  • 발행 : 2017.03.28

초록

본 연구는 중고차 시장에 있어서 온라인 및 오프라인 거래시 고객의 선호도 차이를 확인해 보는 것을 목적으로 하였다. 이를 위해 컨조인트 기법을 이용하여 중고차 거래시 중요한 영향을 미치는 속성에 대한 조사를 실행하였다. 컨조인트 분석은 개별 제품이나 서비스를 구성하는 여러 속성 중 가치있는 것을 판별하는 데에 적합한 기법이다. 연구결과 오프라인 시장에서의 중고차 거래시에는 제조사, 차종, 가격, 연식, 주행거리의 순으로 중요도가 높았으며, 온라인 시장에서는 제조사, 신뢰, 가격, 웹사이트 구성, 사고 여부의 순으로 중요도가 높게 나타나는 것을 확인하였다. 따라서 중고차 거래시 구매경로에 따라 고객의 선호 속성이 다르게 나타나는 점과 각 구매경로별로 중요한 속성에 대한 관심과 주의가 필요하다는 것을 알 수 있었다. 중고차 시장이 신차 시장 못지 않게 중요한 시장으로 성장하고 있는 현실을 감안할 때 향후 중고차 시장에 대한 이해를 통해 사업구상이나 정책 개발 등으로 이어질 필요가 있을 것이다.

The purpose of the present study is to identify the differences of customer preference in online and offline used car business. Conjoint analysis is used for examining the attributes of used car choices. As a result, the order of importance in real used car market is as follows: brand, design, price, model, mileage. Whereas the order of importance in online used car market is as follows: brand, trust, price, web design, accident. Accordingly, the author suggested that customer preferences depend on the path people are approaching and the attributes of preference vary in online and real stores. For example, trust and accident are important attributes in online market in comparison with real market. Used car market is increasing and becoming important. The authorities and practitioners need to understand used car market and establish the related policies.

키워드

참고문헌

  1. Ministry of Trade, Industry & Energy, 2015 Automobile Market, Press Release(2016.01.11.), 2016.
  2. Korea Automobile Manufacturers Association, Korean Automobile Industry, 2016.
  3. K. J. Lee, and K. H. Lee, "Authentication Scheme Using Biometrics in Intelligent Vehicle Network", Journal of the Korea Convergence Society, Vol. 4, No. 3, pp. 15-20, 2013. https://doi.org/10.15207/JKCS.2013.4.3.015
  4. J. W. Oh, and J. K. Choi, Used Car Market - ₩10 Trillion Potential, KTB Investment & Securities Report, 2014.
  5. PWC, The Future of the U.K. Used Car Market & Trends and Opportunities, 2015.
  6. H. G. Lee, S. C. Lee, and D. W. Seong, "The Antecedents of Trust Building and Its Effects on Purchase Intention for Internet Used-Car Transaction", Asia Pacific Journal of Information Systems, Vol. 13, No. 2, pp. 119-143, 2003.
  7. K. W. La, and K. Y. Eom, "Strategies for the Cargo's Invitation for the Creation of the Used Car's Export Logistics Base in Hinterland Donghae Port", Korea International Commercial Review, Vol. 21, No. 2, pp. 171-194, 2006.
  8. G. A. Akerlof, "The Market for 'Lemon': Qualitative Uncertainty and the Market Mechanism", Quarterly Journal of Economics, Vol. 84, No. 3, pp. 488-500, 1970. https://doi.org/10.2307/1879431
  9. Hana Industry Info., The Status and Growth of Automobile Trader's Marketplace, 2013.
  10. Ministry of Land, Infrastructure and Transport, 21 Million Cars Registered, Press Release(2016.01.15.), 2016.
  11. Kyeonggi.com, Used Vehicles Export Industry as for New Blue Ocean(2016.05.19.), 2016.
  12. Biztribune, Used Car Market Increasing (2016.04.19.), 2016.
  13. KOTRA, United States Benchmarking Online Used Car Market(2015.08.19.), 2015.
  14. Joongang Sisa Magazine, Big Companies Jump into the Online Used Car Market - Just One Click for Buying Used Cars(2014.06.16.), 2014.
  15. C. S. Park, "An Empirical Study on the Effects of New Car Launches on Used Car Prices ; Substitution and Brand - Building Effects", Korea Marketing Review, Vol. 13, No. 2, pp. 39-51, 1998.
  16. S. C. Lee, "Trust Building of Buyers Who Perceive Quality Risk High in Online Used Car Transactions: A Dyadic Trust Relationship", Journal of Distribution Science, Vol. 7, No. 3, pp. 49-69, 2009. https://doi.org/10.15722/jds.7.3.200909.49
  17. S. Shimpi, "A Study on Consumer Buying Behaviour for Used Cars in Pune City", National Monthly Refereed Journal of Research in Commerce & Management, Vol. 1, No. 9, pp. 29-34, 2009..
  18. Y. S. Seo, S. H. Kim, and C. S. Lee, "An Empirical Study on Preferences of Automobile Choice Attributes between Chinese and Korean Consumers", The e-Business Studies, Vol. 16, No. 1, pp. 23-37, 2015. https://doi.org/10.15719/geba.16.1.201502.23
  19. N. S. Sung, T. Lee, and G. T. Yeo, "An Analysis of Rent-A-Car Service Attributes' Preference Using Conjoint Analysis", Journal of Distribution and Management Research, Vol. 16, No. 4, pp. 55-59, 2013.
  20. K. J. Boyle, T. P. Holmes, M. F. Teisl, and B. Roe, "A Comparison of Conjoint Analysis Response Formats", American Journal of Agricultural Economics, Vol. 83, No. 2, pp. 441-454, 2001. https://doi.org/10.1111/0002-9092.00168
  21. J. Hainmueller, D. J. Hopkins, and T. Yamamoto, "Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments", Political Analysis, Vol. 22, No. 1, pp. 1-30, 2014. https://doi.org/10.1093/pan/mpt024
  22. Gwang-Hoon Lee, "An Analysis of Consumer Choice of Online Purchase", The e-Business Studies, Vol. 9, No. 4, pp. 69-81, 2008. https://doi.org/10.15719/geba.9.4.200811.69
  23. So-mi An, "Study on the Convergence between Spatial Design Education and On.Offline Communication Methods", Journal of Digital Convergence, Vol. 13, No. 5, pp. 317-327, 2015. https://doi.org/10.14400/JDC.2015.13.5.317
  24. G. Gai, and J. Shen, "Analysis of Factors That Influence Consumers' Purchasing Behavior in Second-Hand Car Market", Journal of Jilin Business and Technology College, Vol. 25, No. 5, pp. 16-19, 2009.
  25. B. Y. Kim, "An Empirical Comparison of Predictability of Ranking-Based and Choice-Based Conjoint Analysis", The Korean Journal of Applied Statistics, Vol. 27, No. 5, pp. 681-691, 2014. https://doi.org/10.5351/KJAS.2014.27.5.681
  26. Autoherald, Women in Their 30s Prefer Compact Used Cars(2015.12.28.), 2015.