Paper Type
Complete
Paper Number
1828
Description
This study investigates the relationship between design complexity and the initial trade likelihood of metaverse non-fungible tokens (NFTs). The moderating role of market volatility is incorporated in the relationship as well. By analyzing data of 431,747 transactions from over 2,000 3D metaverse NFTs on the Sandbox platform, we find a U-shaped relationship between static design complexity and initial trade likelihood, and an inverted U-shaped relationship between animation design complexity and initial trade likelihood. The research also unravels that those curvilinear relationships are weakened by market volatility. Findings contribute to the emerging discourse on metaverse NFTs, providing valuable insights for creators and platform developers on optimizing NFT design for market success. This study underscores the significance of design and market conditions in the metaverse NFT marketplace, offering a nuanced understanding of metaverse NFT market dynamics.
Recommended Citation
Zhai, Mingsong; Cai, Zhao; and Phang, C.W. (David) W., "Stimulating the First Trade: Untangling the Relationship between Metaverse Non-fungible Token Design Complexity and Initial Trade Likelihood" (2024). PACIS 2024 Proceedings. 7.
https://aisel.aisnet.org/pacis2024/track02_blockchain/track02_blockchain/7
Stimulating the First Trade: Untangling the Relationship between Metaverse Non-fungible Token Design Complexity and Initial Trade Likelihood
This study investigates the relationship between design complexity and the initial trade likelihood of metaverse non-fungible tokens (NFTs). The moderating role of market volatility is incorporated in the relationship as well. By analyzing data of 431,747 transactions from over 2,000 3D metaverse NFTs on the Sandbox platform, we find a U-shaped relationship between static design complexity and initial trade likelihood, and an inverted U-shaped relationship between animation design complexity and initial trade likelihood. The research also unravels that those curvilinear relationships are weakened by market volatility. Findings contribute to the emerging discourse on metaverse NFTs, providing valuable insights for creators and platform developers on optimizing NFT design for market success. This study underscores the significance of design and market conditions in the metaverse NFT marketplace, offering a nuanced understanding of metaverse NFT market dynamics.
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