Employing Fuzzy Delphi Techniques to Validate the Components and Contents of Role of Social Media in a Technology Acceptance Model towards Perception and Investment Intention in Cryptocurrency

Abstract

Purpose: The purpose of this study is to assess the impact of social media on perceptions and investment intentions regarding cryptocurrency, using the Fuzzy Delphi Method (FDM) and the Technology Acceptance Model (TAM). Theoretical Reference: The theoretical framework for this study is based on the Fuzzy Delphi Method (FDM) for gathering expert feedback and the Technology Acceptance Model (TAM) for understanding the acceptance of technology. Method: The method involved collecting responses using a 7-point Likert scale and a panel of eight experts who reviewed and approved the survey items. The data were analyzed using triangular fuzzy numbering and defuzzification to determine the ranking of each variable. Results and Conclusion: The study found a high level of consensus among experts, with defuzzification values exceeding the α-cut >.5, and the overall threshold value (d) was less than .2, which is within the required threshold for percent consensus of over 75%. All 60 recommended items were deemed suitable for inclusion in a large-scale survey. Implications of Research: The research implies that there is a strong agreement among experts on the factors influencing the perceptions and investment intentions towards cryptocurrency as mediated by social media. This consensus can be used to inform a larger-scale survey and potentially guide investment and marketing strategies in the cryptocurrency domain. Originality/Value: The originality of this research lies in its application of the Fuzzy Delphi Method to the field of cryptocurrency and its combination with the Technology Acceptance Model to understand investment intentions influenced by social media. The value is in providing a methodologically sound basis for further large-scale research and offering insights into expert consensus on the topic.

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