Stimulating the First Trade: Untangling the Relationship between Metaverse Non-fungible Token Design Complexity and Initial Trade Likelihood

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 28th Pacific Asia Conference on Information Systems, PACIS 2024
PublisherPacific Asia Conference on Information Systems
ISBN (Electronic)9781958200124
Publication statusPublished - 2024
Event28th Pacific Asia Conference on Information Systems, PACIS 2024 - Ho Chi Minh City, Viet Nam
Duration: 1 Jul 20245 Jul 2024

Publication series

NameProceedings - 28th Pacific Asia Conference on Information Systems, PACIS 2024

Conference

Conference28th Pacific Asia Conference on Information Systems, PACIS 2024
Country/TerritoryViet Nam
CityHo Chi Minh City
Period1/07/245/07/24

Free Keywords

  • Animation design
  • Design complexity
  • Initial trade likelihood
  • Market volatility
  • Metaverse non-fungible tokens
  • Static design

ASJC Scopus subject areas

  • Information Systems

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