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The Impact of Blockchain Food Tracing Information Quality and Trust on Intention to Purchase

The purpose of our research is to empirically test how system attributes of blockchain build trust through system and information components in blockchain food traceability systems. Findings showed that system attributes of blockchain are strong predictors of trust leading to intention to purchase. A sample of 358 responses were collected from college students through online survey. SmartPLS 3.0 is adopted for data analysis. We made contributions by building a new research model to guide future studies on trust formation in blockchain based systems as well as informing practice to adopt proven features of blockchain to create and capture values for customers.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc1985328
Date08 1900
CreatorsLai, Im Hong
ContributorsWu, Andy, Prybutok, Victor, Parrish, James, Hanus, Bartlomiej
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
FormatText
RightsPublic, Lai, Im Hong, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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