The swiftly maturing sector of cryptocurrencies proffers an array of challenges and prospects for both enterprises and consumers. This study explores the knowledge, expertise, and purchasing behaviors of individuals engaged in shopping using cryptocurrencies to furnish an exhaustive understanding of this distinctive consumer cohort. By analyzing data from our survey of 516 participants, our findings illuminate a range of knowledge levels, encompassing neophytes to connoisseurs, with a significant segment exhibiting high procurement frequency amidst constrained expertise. Regression analyses unveil that, although knowledge significantly influences purchase behaviors, its explanatory capacity remains restricted. Additionally, a K-means cluster analysis discloses three disparate crypto-shopper profiles, each possessing unique knowledge and expertise levels. These insights contravene conventional wisdom regarding the nexus between domain knowledge and adoption, insinuating that the appeal of cryptocurrencies transcends technical knowledge. The revelations of this research are instrumental for enterprises aspiring to address the diverse needs of the crypto-shopper demographic, accentuating the imperative of personalized strategies and user experiences. This exploration furthermore lays the groundwork for ensuing research focused on unraveling the extensive implications of crypto acceptance and its confluence with consumer conduct.

翻译：快速成熟的加密货币领域为企业与消费者带来了诸多挑战与机遇。本研究通过探索使用加密货币购物的个体所具备的知识、专业水平及购买行为，旨在全面理解这一独特的消费群体。基于对516名参与者的调查数据分析，我们的研究结果揭示了从新手到专家的多层次知识水平，其中相当一部分群体在专业知识有限的情况下仍表现出高频采购行为。回归分析表明，尽管知识显著影响购买行为，但其解释能力仍较为有限。此外，K-means聚类分析揭示了三种不同的加密购物者画像，每种画像具备独特的知识与专业水平。这些发现颠覆了关于领域知识与采用率之间关系的传统认知，暗示加密货币的吸引力已超越技术知识的范畴。本研究的发现对于希望满足加密购物者群体多样化需求的企业具有重要参考价值，强调了个性化策略与用户体验的必要性。此外，该探索为后续聚焦于加密货币接受度及其与消费者行为交互影响的广泛研究奠定了坚实基础。