A community-driven framework to evaluate factors influencing NFT buyers

• Main Authors: LAU, Yi Meng, KE, Ping Fan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Non-Fungible Tokens (NFTs); Community Dynamics; Online Word-of-Mouth; Purchase Intention; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9827; https://ink.library.smu.edu.sg/context/sis_research/article/10827/viewcontent/2024_SIGBIT_Workshop_paper_10__1_.pdf
• Institution: Singapore Management University

This study examines the pivotal role of community-driven social dynamics in shaping non-fungible tokens (NFT) buyers’ purchasing intentions and the increasing social significance of digital assets. Building on prior research in online word-of-mouth, we propose a comprehensive framework that integrat...