Blockchain technology is a decentralized way of data storage and exchange that is receiving a lot of attention in different segments of the economy. Among them are supply chains, where this technology offers a reliable and flexible way for potential customers to trace the origin of the consumer goods, that they are buying. Based on OriginTrail protocol case study, we set out to identify the most important factors that influence the intention of potential customers to use blockchain technology to trace the origin of products that they are buying. Drawing on the UTAUT model, we analyzed the causal relationship of factors that theoretically explain the intention to use OriginTrail technology. The data were collected with a web survey on a sample of 109 Slovene and English speaking users of various social networking sites. The results of regression analysis have confirmed that performance expectancy, effort expectancy, hedonic motivation and social influence factors had a statistically significant effect on the intention to use OriginTrail technology. Facilitating conditions have not been used in the regression analysis due to an unreliable and invalid measurement instrument. Gender, age and education did not have a moderating effect on the chosen effects in the regression model. In the conclusion, there are relevant findings and limitations of the master’s thesis, which can be considered in further research.
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