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Blockchain Adoption for Provenance and Traceability in the Retail Food Supply Chain
16 references·4 citing·26 second hop
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References

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  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 1980Understanding Attitudes and Predicting Social Behavior25,805 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 1998The partial least squares approach for structural equation modeling.12,728 cited
  • 2014Partial least squares structural equation modeling (PLS-SEM)11,717 cited
  • 2015Common Method Bias in PLS-SEM10,154 cited
  • 1995Understanding Information Technology Usage: A Test of Competing Models8,810 cited
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  • 2000Consumer trust in an Internet store2,548 cited
  • 2015Predicting green product consumption using theory of planned behavior and reasoned action2,187 cited
  • 2004Consumer acceptance of online banking: an extension of the technology acceptance model1,772 cited
  • 2001Determinants of Chinese consumers' green purchase behavior1,218 cited

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  • 2003Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model1,218 cited
  • 1999Adoption of Internet banking by Australian consumers: an empirical investigation1,140 cited
  • Cited by

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    • 2025Consumer adoption of food blockchain traceability: insights from integrating TAM and TR models16 cited
    • 2023Consumer acceptance of an innovative Bio-QR code traceability system for edible bird’s nest10 cited
    • 2023Analisis Faktor-Faktor yang Berpengaruh terhadap Sikap Pengguna Aset Digital Non-Fungible Token Berbasis Blockchain pada Komunitas NFT Indonesia8 cited