The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industry

Economically motivated adulteration usually faces major problems in ensuring product authenticity and safety within the edible bird’s nest (EBN) industry. These are proliferating the need for traceability solutions to be implemented to protect product integrity and thereby secure consumer trust. Thi...

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Main Authors: Praparast Ausawanetmanee, Worasak Klongthong, Achara Chandrachai, Viwat Vchirawongwin, Sanong Ekgasit, Jakkrit Thavorn
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Food & Agriculture
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23311932.2025.2522335
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author Praparast Ausawanetmanee
Worasak Klongthong
Achara Chandrachai
Viwat Vchirawongwin
Sanong Ekgasit
Jakkrit Thavorn
author_facet Praparast Ausawanetmanee
Worasak Klongthong
Achara Chandrachai
Viwat Vchirawongwin
Sanong Ekgasit
Jakkrit Thavorn
author_sort Praparast Ausawanetmanee
collection DOAJ
description Economically motivated adulteration usually faces major problems in ensuring product authenticity and safety within the edible bird’s nest (EBN) industry. These are proliferating the need for traceability solutions to be implemented to protect product integrity and thereby secure consumer trust. This, therefore, calls for a study to explore the adoption of Bio-QR Code technology as a traceability system in ensuring transparency, sustainability, and competitiveness within the EBN industry. This research integrates the extended Technology Acceptance Model, Diffusion of Innovations Theory, and Cost-Benefit Theory. For this present study, the focus is on deep-interviewing 18 swiftlet-house farmers to find identification for their perception and acceptance of the Bio-QR Code technology. The results emphasize the main drivers of the adoption process: perceived usefulness, perceived ease of use, operational relevance, and economic considerations. The value coming out of this technology can further be enhanced if the relative advantages are demonstrated to farmers. This study is helpful in that it gives recommendations to stakeholders on how to improve technology adoption. This research brings added value in portraying the unique dynamics of technology acceptance within a given industry, EBN, and the framework in which an emerging technology is managed within a niche sector.
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spelling doaj-art-d6a327f18679436cb5e648d96583e1702025-08-20T03:27:46ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322025-12-0111110.1080/23311932.2025.2522335The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industryPraparast Ausawanetmanee0Worasak Klongthong1Achara Chandrachai2Viwat Vchirawongwin3Sanong Ekgasit4Jakkrit Thavorn5Technopreneurship and Innovation Management Program, Graduate School, Chulalongkorn University, Bangkok, ThailandSchool for Business and Society, University of York, York, UKDepartment of Commerce, Chulalongkorn Business School, Chulalongkorn University, Bangkok, ThailandDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, ThailandDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, ThailandDepartment of Organization, Entrepreneurship and Human Resource Management, Thammasat Business School, Thammasat University, Bangkok, ThailandEconomically motivated adulteration usually faces major problems in ensuring product authenticity and safety within the edible bird’s nest (EBN) industry. These are proliferating the need for traceability solutions to be implemented to protect product integrity and thereby secure consumer trust. This, therefore, calls for a study to explore the adoption of Bio-QR Code technology as a traceability system in ensuring transparency, sustainability, and competitiveness within the EBN industry. This research integrates the extended Technology Acceptance Model, Diffusion of Innovations Theory, and Cost-Benefit Theory. For this present study, the focus is on deep-interviewing 18 swiftlet-house farmers to find identification for their perception and acceptance of the Bio-QR Code technology. The results emphasize the main drivers of the adoption process: perceived usefulness, perceived ease of use, operational relevance, and economic considerations. The value coming out of this technology can further be enhanced if the relative advantages are demonstrated to farmers. This study is helpful in that it gives recommendations to stakeholders on how to improve technology adoption. This research brings added value in portraying the unique dynamics of technology acceptance within a given industry, EBN, and the framework in which an emerging technology is managed within a niche sector.https://www.tandfonline.com/doi/10.1080/23311932.2025.2522335Edible bird’s nesttraceability systemBio-QR Codetechnology acceptance Model (TAM)theory of reasoned Action (TRA)diffusion of innovation (DOI)
spellingShingle Praparast Ausawanetmanee
Worasak Klongthong
Achara Chandrachai
Viwat Vchirawongwin
Sanong Ekgasit
Jakkrit Thavorn
The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industry
Cogent Food & Agriculture
Edible bird’s nest
traceability system
Bio-QR Code
technology acceptance Model (TAM)
theory of reasoned Action (TRA)
diffusion of innovation (DOI)
title The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industry
title_full The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industry
title_fullStr The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industry
title_full_unstemmed The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industry
title_short The adoption of Bio-QR code technology for traceability systems in the edible bird’s nest industry
title_sort adoption of bio qr code technology for traceability systems in the edible bird s nest industry
topic Edible bird’s nest
traceability system
Bio-QR Code
technology acceptance Model (TAM)
theory of reasoned Action (TRA)
diffusion of innovation (DOI)
url https://www.tandfonline.com/doi/10.1080/23311932.2025.2522335
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