Journal
COMPUTERS IN HUMAN BEHAVIOR
Volume 151, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chb.2023.108013
Keywords
Non -fungible tokens (NFTs); Metaverse; Blockchain; Platform affordances; Psychological contract; Customer loyalty
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This study explores the perceptions of creators and buyers regarding the functions of NFT platforms. The results show that platform affordances facilitate the formation of psychological contracts and improve customer loyalty. The relationships identified differ between creators and buyers. The study highlights the value of a user-centric human-computer interaction perspective in studying emerging blockchain-based systems.
Prior academic research on non-fungible tokens (NFTs), an application of blockchain technology in the meta -verse environment, has focused primarily on the market demand side (i.e., buyers), with limited attention given to the supply side (i.e., creators). To address this gap, we seek to understand creators' and buyers' perceptions of platform affordances that can aid NFT platforms in developing functions that address the needs and expectations of both parties. To do this, we draw on affordance theory and psychological contract theory and use a mixed -methods approach consisting of text mining, structural equation modeling, and importance-performance map analysis. The results show that platform affordances (transaction, aesthetics, status, and user interface afford-ance) facilitate the creation of psychological contracts, which in turn promotes customer loyalty. Moreover, the relationships identified differ between creators and buyers. Overall, these results point to the value of using a user-centric human-computer interaction perspective to study emerging blockchain-based systems. They can inform design principles and guidelines for NFT platforms to effectively support creator-buyer interactions, transactions, and relationships through enhanced affordances and user-centric experience. This study advances knowledge of design in the nascent NFT domain relevant to the cross-disciplinary human-computer interaction community.
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