A Study on the Ranking Framework based on NFT Artworks Valuation

The objective of this study is to devise and propose a ranking framework for NFT artworks and artists, based on the valuation of NFT artworks. The findings of this study can be summarised as follows. Firstly, the results demonstrate that the cost production, S2F method, and quint algorithm approaches, which are commonly employed in classical economics, are the most effective models for valuing NFT artworks. Secondly, quantitative evaluation criteria for NFT artworks were proposed, including factors such as exhibitions and awards, copyrights, exhibition planning, career achievements and assigned weights. Additionally, qualitative evaluation criteria were put forth, encompassing aspects such as content, expression, originality, collectible value and assigned weights. The results of the recognition evaluation criteria were also derived. Furthermore, a framework was put forth to guarantee the rationality of the NFT artist ranking through verification. The anticipated outcomes of this research can be leveraged for the equitable utilisation of NFT artworks for purchase and sale, the establishment of guidelines for the calculation, settlement, and distribution of artworks, and the encouragement of new NFT art creation.