Evidence map›Paper›PMID 36505256›Full record

ArticleFrontiers in nutrition2022

Bi-dimensional values and attitudes toward online fast food-buying intention during the COVID-19 pandemic: An application of VAB model.

Chen Yan, Abu Bakkar Siddik, Mohammad Masukujjaman, Qianli Dong, Muhammad Hamayun, Zheng Guang-Wen, Abdullah Mohammed Ibrahim

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chen YanSchool of Economics and Management, Chang'an University, Xi'an, China.
Abu Bakkar SiddikSchool of Management, University of Science and Technology of China (USTC), Hefei, China.
Mohammad MasukujjamanDepartment of Business Administration, Northern University Bangladesh, Dhaka, Bangladesh.
Qianli DongSchool of Economics and Management, Chang'an University, Xi'an, China.
Muhammad HamayunDepartment of Management Science and Commerce, Bacha Khan University, Charsadda, Pakistan.
Zheng Guang-WenSchool of Economics and Management, Shaanxi University of Science and Technology (SUST), Xi'an, China.
Abdullah Mohammed IbrahimDepartment of Business Administration, Northern University Bangladesh, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the study is to determine the factors of online fast food-buying intention among Bangladeshi Millennials during the COVID-19 pandemic. The study adopted the Value-Attitude-Behavior (VAB) model and designed it as a higher-order constructs model to predict buying intention. Using a quantitative method (i.e., cross-sectional survey), data was collected from 325 respondents via a structured questionnaire and subsequently analyzed using Structural Equation Modeling (SEM) through AMOS software. The findings of the study revealed that convenience and food quality generate utilitarian values, while subjective norms and novelty-seeking form hedonic values. Also, utilitarian and hedonic values significantly affect cognitive and affective attitudes. As opposed to food quality, the cognitive attitude, affective attitude, self-identity, and subjective norms were observed to affect behavioral intention, with affective attitude producing the strongest association, albeit with the high explanatory power of the model. Consequently, this study offers a number of theoretical and policy implications to design better interventions that address public health regarding fast food consumption.

Indexed as

COVID-19fast foodmillennialonline buying intentionvalue-attitude-behavior model

Identifiers

PMID36505256
PMCPMC9733427

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.