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희귀도와 속성에 따른 수집품 NFT의 잠재계층 분류 및 가치 분석Latent Class Analysis of a Collectible NFT According to Rarity and Properties
- Other Titles
- Latent Class Analysis of a Collectible NFT According to Rarity and Properties
- Issue Date
- Aug-2023
- Publisher
- 대한산업공학회
- Keywords
- NFT; Properties; Rarity; Latent Class Analysis
- Citation
- 대한산업공학회지, v.49, no.4, pp.309 - 317
- Indexed
- KCI
- Journal Title
- 대한산업공학회지
- Volume
- 49
- Number
- 4
- Start Page
- 309
- End Page
- 317
- ISSN
- 1225-0988
- Abstract
- A new approach was attempted to analyze the value of NFT, which is emerging as a major field in the digital environment along with cryptocurrency and metaverse. From the point of view that heterogeneous groups may exist in an NFT collection, latent class analysis, an object-oriented methodology, was applied. Existing NFT value studies focus on finding significant variables mainly through regression analysis, so there is a limitation in not considering the heterogeneity within the group. As an analysis result of the representative NFT, BAYC(Bored Ape Yacht Club), it can be divided into 8 heterogeneous groups (latent class) by NFT properties and rarity, and it was confirmed that the average value of each group differs by more than two times.
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Collections - 서울 산업융합학부 > 서울 산업융합학부 > 1. Journal Articles
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Related Researcher
- Lee, Hee jung
- SCHOOL OF INDUSTRIAL INFORMATION STUDIES (DIVISION OF INDUSTRIAL INFORMATION STUDIES)