Kripto paranın tüketici kabulü: Bilgi miktarı, güven ve riskin teknoloji kabul modeline entegrasyonu

The US dollar and the British pound became reserve money after the First World War, which led to the rejection of the gold standard. Consequently, in the early 1930s, the US dollar became the only reserve currency unit that can be converted into gold for transactions between the nation's central banks. During the Second World War, in 1944, the Bretton Woods system changed the structure of the financial system with the gold standard. Cryptocurrency has been an important trade entity and widely been used in the last few decades. The recognized financial order in modern world requires review and restructuring of global financial transactions. That is why another update threshold has been reached for the global financial system. Future of the cryptocurrency is expected to dominate global economy; therefore, people should be acknowledged about the new types of financial tool. The purpose of this study is to investigate consumer acceptance of cryptocurrency through integrating amount of information, trust and risk into the technological acceptance model. Specifically, the study aims to identify relationships between perceived risk, amount of information, intention to purchase, trust, perceived ease of use, and perceived usefulness dimensions in terms of sociodemographic features of the participants. In this context, quantitative and qualitative studies conducted in recent years are examined. A questionnaire with seven sections were utilized to collect the study data. A total of 522 participants responded the questionnaire which included six study variables and sociodemographic characteristics of the participants. Participants responded the items on the questionnaire via online data collection platform. The collected data were later analyzed based on the statistical analysis tools by a statistical analysis program, AMOS. The relationships between the variables were identified with statistical figures including mean, standard deviation, p-value, correlation coefficients, and comparison of sociodemographic issues in terms of other variables. In addition, important findings are discussed and compared with the results of previous studies.