数字收集的人工稀缺性设计启发式：来自不可替代代币市场的证据

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management Pub Date : 2025-02-03 DOI:10.1016/j.im.2025.104109

Peng Xie

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引用次数: 0

摘要

本研究从收藏理论出发，探讨区块链技术如何促进虚拟艺术品交易和收藏，然后分析NFT数据集，开发人工稀缺性设计启发式方法，以实现版税收入最大化。研究结果表明，稀缺性对销售价格的积极影响与对交易频率的倒u形影响之间存在权衡关系。基于这种权衡，提出了几种版税收入最大化稀缺性设计启发式方法，并使用计算研究进行了验证。本文的影响超出了NFT市场，延伸到其他虚拟商品市场，在这些市场中，稀缺性被人为地设计为创造价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artificial scarcity design heuristics for digital collecting: Evidence from the non-fungible token market

This study draws from the theory of collecting to explore how blockchain technologies facilitate virtual art trading and collecting, and then analyzes an NFT dataset to develop artificial scarcity design heuristics for royalty income maximization. The findings show a trade-off between scarcity's positive effect on the sale price and its inverted-U shape effect on trading frequency. Based on this trade-off, several royalty income maximization scarcity design heuristics are proposed and validated using computational studies. The implications of this paper extend beyond the NFT market to other virtual goods markets where scarcity is artificially designed to create value.

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来源期刊

Information & Management 工程技术-计算机：信息系统

CiteScore

17.90

自引率

6.10%

发文量

123

审稿时长

1 months

期刊介绍： Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.