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The impact of online review on fresh food purchase intention via mobile applications: An approach of Elaboration Likelihood Model (ELM) theory

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  • Hoa Le Thai Nguyen

    (Saigon Technology University, Ho Chi Minh City, Vietnam)

  • Thi Thi Cam Tang

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

Abstract

Today, consumers are interested in fresh food, and the convenience of mobile App shopping since the rise of various food delivery platforms gives consumers more choices and enables them to gather information through online reviews. This study aims to examine the impact of central and peripheral cues of Online Consumer Review (OCR) (including accuracy, completeness, timeliness, consistency, quantity, product ratings, and visual cues) toward purchase intention based on Elaboration Likelihood Model (ELM) and the mediating role of attitude. Previous studies explored the independent effects of central and peripheral cues on behavioral intention. However, approaching ELM, we argue that central and peripheral ones are processed jointly by online consumers rather than independently. By non-probability method with a convenience sample, data from 302 online shoppers in Vietnam were collected by online survey and analyzed with a Structural Equation Model (SEM). The results revealed that the accuracy, timeliness, consistency, quantity, and visual cues of Online Consumer Reviews (OCR) had a significant impact on attitude. Besides, attitude was found to play a fully mediating role between OCR consistency, visual cues, and purchase intention. It also played a partially mediating effect between OCR accuracy, timeliness, quantity, and purchase intention. The findings deepen insights into the factors of eWoM in the new context and propose significant implications for managers and marketers to have a better marketing strategy to improve business profitability, especially on e-commerce platforms.

Suggested Citation

  • Hoa Le Thai Nguyen & Thi Thi Cam Tang, 2025. "The impact of online review on fresh food purchase intention via mobile applications: An approach of Elaboration Likelihood Model (ELM) theory," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 15(2), pages 128-151.
    • Handle: RePEc:bjw:econen:v:15:y:2025:i:2:p:128-151
    DOI: 10.46223/HCMCOUJS.econ.en.15.2.3090.2025
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    References listed on IDEAS

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    1. Benedikt M. Brand & Cristopher Siegfried Kopplin & Theresa Maria Rausch, 2022. "Cultural differences in processing online customer reviews: holistic versus analytic thinkers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1039-1060, September.
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    3. Ehsan Abedi & Davood Ghorbanzadeh & Atena Rahehagh, 2019. "Influence of eWOM information on consumers’ behavioral intentions in mobile social networks," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 17(1), pages 84-109, September.
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    5. Xu, Xianying & Huang, Yinghua, 2019. "Restaurant information cues, Diners’ expectations, and need for cognition: Experimental studies of online-to-offline mobile food ordering," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 231-241.
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    More about this item

    Keywords

    attitude and purchase intention; central routes; Elaboratory Likelihood Model (ELM); Online Consumer Reviews (OCR); peripheral cues;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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