Evidence map›Paper›PMID 38731772›Full record

ArticleFoods (Basel, Switzerland)2024

Green Consumer Profiling and Online Shopping of Imperfect Foods: Extending UTAUT with Web-Based Label Quality for Misshapen Organic Produce.

Rara Dwi Oktaviani, Phaninee Naruetharadhol, Siraphat Padthar, Chavis Ketkaew

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Rara Dwi OktavianiInternational College, Khon Kaen University, 123 Mittraphap Road, Amphur Muang, Khon Kaen 40002, Thailand.
Phaninee NaruetharadholInternational College, Khon Kaen University, 123 Mittraphap Road, Amphur Muang, Khon Kaen 40002, Thailand.ORCID 0000-0001-7158-0581
Siraphat PadtharInternational College, Khon Kaen University, 123 Mittraphap Road, Amphur Muang, Khon Kaen 40002, Thailand.
Chavis KetkaewInternational College, Khon Kaen University, 123 Mittraphap Road, Amphur Muang, Khon Kaen 40002, Thailand.ORCID 0000-0003-3506-3725

Funding

National Science, Research and Innovation Fund (NSRF) - Fundamental Fund Ref. 66A103000025
6 · The paper itself

Abstract

Misshapen organic vegetables in the food supply chain can easily be discarded in the market if they do not meet aesthetic standards. E-commerce technology enables the distribution of imperfect organic produce from farmers to potential customers, mitigating agri-food waste issues. Green consumers are prospective customers of imperfect produce because their purchasing decisions are made based on sustainability and environmental considerations. However, each individual's degree of green consumption differs, impacting their preferences and behaviors toward green buying activity. Considering the gap between the varying levels of green consumers and their intention to purchase imperfect organic produce through e-commerce, this study aimed to profile three distinct green consumers and explore factors affecting their Online Green Purchase Intention (OGPI) for imperfect organic vegetables. The Unified Theory of Acceptance and Use of Technology (UTAUT) was applied in this study, and Web-Based Label Quality (WLQ) was introduced as an extended construct to describe green consumers' perceptions of the credibility and reliability of labels or product-related information displayed on e-commerce platforms. This study involved 668 internet users from environmental platforms and online communities of organic food enthusiasts. First, the consumers were classified into dark-green, semi/light green, and non-green using a cluster analysis approach. Then, Structural Equation Modeling (SEM) and Multi-Group Analysis (MGA) were employed to determine the factors affecting OGPI among green consumer groups. This research found that Performance Expectancy (PE), Social Influence (SI), and WLQ positively influenced dark-green consumers' online green purchase intention. Only Performance Expectancy (PE) positively affected semi/light-green consumers' OGPI. Meanwhile, the Facilitating Condition (FC) positively affected non-green consumers' online green purchase intentions. This research revealed dark-green consumers as the target segment, broadening customers' perspectives on accepting imperfect organic products, including e-commerce technology. Moreover, the research results can be utilized for marketing and business purposes and contribute to food policy.

Indexed as

consumer segmentatione-commerceextended UTAUTgreen consumersimperfect produceonline green purchase intentionshades of green

Identifiers

PMID38731772
PMCPMC11083663

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.