Literature DB >> 29544844

Consumer acceptance of a quick response (QR) code for the food traceability system: Application of an extended technology acceptance model (TAM).

Yeong Gug Kim1, Eunju Woo2.   

Abstract

The objectives of this study are to apply the TAM using the addition of perceived information to individuals' behavioral intention to use the QR code for the food traceability system; and to determine the moderating effects of food involvement on the relationship between perceived information and perceived usefulness. Results from a survey of 420 respondents are analyzed using structural equation modeling. The study findings reveal that the extended TAM has a satisfactory fit to the data and that the underlying dimensions have a significant effect on consumers' intention to use the QR code for the food traceability system. In addition, food involvement plays a significant moderating function in the relationship between perceived information and perceived usefulness. The implications of this study for future research are discussed.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Food traceability system; Perceived information; QR code; Technology acceptance model

Year:  2016        PMID: 29544844     DOI: 10.1016/j.foodres.2016.05.002

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  6 in total

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2.  What Intentions and Interesting Information Can Attract Consumers to Scan QR Code While Buying Eggs?

Authors:  Shang-Ho Yang; Huong Thi Thu Phan; Chi-Ming Hsieh; Tzu-Ning Li
Journal:  Foods       Date:  2022-04-27

3.  Investigating Consumer Attitude and Intention towards Online Food Purchasing in an Emerging Economy: An Extended TAM Approach.

Authors:  Thi Thu Ha Nguyen; Ninh Nguyen; Thi Bich Loan Nguyen; Thi Thu Hoai Phan; Lan Phuong Bui; Hee Cheol Moon
Journal:  Foods       Date:  2019-11-15

4.  Understanding Agri-Food Traceability System User Intention in Respond to COVID-19 Pandemic: The Comparisons of Three Models.

Authors:  Yafen Tseng; Beyfen Lee; Chingi Chen; Wang He
Journal:  Int J Environ Res Public Health       Date:  2022-01-26       Impact factor: 3.390

5.  Consumer purchase intention towards a quick response (QR) code for antibiotic information: an exploratory study.

Authors:  Hollie Bradford; Claire McKernan; Chris Elliott; Moira Dean
Journal:  NPJ Sci Food       Date:  2022-04-20

6.  Effect of Institutional Trust on Consumers' Health and Safety Perceptions and Repurchase Intention for Traceable Fresh Food.

Authors:  Edward Shih-Tse Wang; Hung-Chou Lin; Ming-Chie Tsai
Journal:  Foods       Date:  2021-11-23
  6 in total

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