Personal Innovation, Optimism, Electronic Word of Mouth, and Perceived Factors Affect the Behavioral Intention to Adopt QR Code Payments

Abstract QR (Quick Response) code payment is a very popular form of payment worldwide and brings many benefits to users. The purpose of this study is to explore, measure, and analyze the factors involving the intention to use QR code payments. The research probability uses sampling method to survey 2,500 customers and get 1,473 valid responses. The authors used Stata-14 software to analyze the reliability of the measurement scale through Cronbach’s Alpha coefficient, conduct confirmatory factor analysis (CFA), and use a structural equation model (SEM) to test the research hypotheses. The results show that the factors that affect behavioral intention are optimistic, perceived usefulness, perceived ease of use, personal innovation, electronic word-of-mouth, perceived transaction convenience, and perceived ease of use transaction speed. Therefore, businesses can refer to these factors to determine the best payment method. The study also proposes some practical recommendations and research directions for managers and marketers.

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Publication Details

Journal
Review of Marketing Science
Published
2024-11-08
DOI
https://doi.org/10.1515/roms-2024-0107
Citations
3
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
3.15
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article

Personal Innovation, Optimism, Electronic Word of Mouth, and Perceived Factors Affect the Behavioral Intention to Adopt QR Code Payments

Phuong Viet Le-Hoang, Loi Nguyen-Tan
3 citations
Review of Marketing Science
Technology Adoption and User Behaviour
3.15
article

Personal Innovation, Optimism, Electronic Word of Mouth, and Perceived Factors Affect the Behavioral Intention to Adopt QR Code Payments

Phuong Viet Le-Hoang, Loi Nguyen-Tan
article en
3 citations

Abstract

Abstract QR (Quick Response) code payment is a very popular form of payment worldwide and brings many benefits to users. The purpose of this study is to explore, measure, and analyze the factors involving the intention to use QR code payments. The research probability uses sampling method to survey 2,500 customers and get 1,473 valid responses. The authors used Stata-14 software to analyze the reliability of the measurement scale through Cronbach’s Alpha coefficient, conduct confirmatory factor analysis (CFA), and use a structural equation model (SEM) to test the research hypotheses. The results show that the factors that affect behavioral intention are optimistic, perceived usefulness, perceived ease of use, personal innovation, electronic word-of-mouth, perceived transaction convenience, and perceived ease of use transaction speed. Therefore, businesses can refer to these factors to determine the best payment method. The study also proposes some practical recommendations and research directions for managers and marketers.

Review of Marketing ScienceVol. 23(1)
Industrial University of Ho Chi Minh City (VN)
Openalex Percentile: Top 6%
Technology Adoption and User Behaviour
3.15
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