Evidence map›Paper›PMID 36465502›Full record

ArticleJDS communications2022

Consumer perceptions of QR code technology for enhanced fluid milk shelf-life information provision in a retail setting.

S Lau, M Wiedmann, A Adalja

Abstract read
In one paragraph

Article in JDS communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

S LauMilk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853.
M WiedmannMilk Quality Improvement Program, Department of Food Science, Cornell University, Ithaca, NY 14853.
A AdaljaNolan School of Hotel Administration, SC Johnson College of Business, Cornell University, Ithaca, NY 14853.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is increasing awareness of the impact of food waste and the large role best-by or sell-by dates play in consumer food waste. To address this issue, predictive models have been developed that can not only provide more accurate best-by dates for fluid milk but could also be used to dynamically predict shelf-life (e.g., based on distribution data such as storage temperatures) and adjust prices for products closer to the end of shelf-life. However, limited information is available on strategies to communicate this type of information to consumers. Here we assessed the consumer acceptance of (1) quick response (QR) code technology to communicate product shelf-life and (2) shelf-life dependent pricing based on QR codes by offering both half-gallon fluid milk with traditional printed best-by dates and identical products with QR codes to convey best-by dates over an 8-wk time period in a retail setting. Overall, 62% of half-gallon containers sold over this time frame featured QR codes and 48% of QR code scans were linked to subsequent sales, suggesting the possibility of substantial consumer acceptance of novel technologies to display and communicate best-by dates. Preliminary data based on a small number of sales also showed that consumers did purchase QR code-labeled products offered at a reduced price due to limited remaining shelf-life. Our data suggest that at least some consumer segments would adopt QR code-based shelf-life labels, which presents an opportunity to better manage and communicate "best-by" dates and use dynamic pricing strategies to reduce food waste that occurs when an end-of-shelf-life product is either not sold or is discarded by consumers. Overall, QR codes represent a strategic opportunity for the dairy industry to achieve greater sustainability and to foster stronger connections with customers through enhanced provision of information that highlights sustainability practices implemented across the whole supply chain.

Identifiers

PMID36465502
PMCPMC9709604

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.