Evidence map›Paper›PMID 39062392›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Milking the Alternatives: Understanding Coffee Consumers' Preferences for Non-Dairy Milk.

Nibal Halabi, Velina Hristova, Ivo Vlaev

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Nibal HalabiWarwick Business School, University of Warwick, Scarman Rd., Coventry CV4 7 AL, UK.ORCID 0009-0000-2877-5148
Velina HristovaPsychology Department, Sofia University "St. Kliment Ohridski", bul. "Tsar Osvoboditel" 15, 1504 Sofia, Bulgaria.ORCID 0000-0003-3001-1061
Ivo VlaevWarwick Business School, University of Warwick, Scarman Rd., Coventry CV4 7 AL, UK.ORCID 0000-0002-3218-0144

Funding

National Recovery and Resilience Plan of the Republic of Bulgaria SUMMIT BG-RRP-2.004-0008-C01
6 · The paper itself

Abstract

Consumer interest in plant-based milk alternatives is growing, despite extra charges in coffeehouses. While much research exists on non-dairy alternatives, plant-based milks in coffee drinks remain understudied. This study examines consumer preferences and behaviors regarding milk alternatives in coffee, using the Theoretical Domains Framework (TDF) and the Behavior Change Wheel (BCW). A survey of 200 participants from 19 countries explored demographics, coffee habits, attitudes towards non-dairy milk charges, and marketing awareness. Market insights showed taste as the main reason for coffee choice, with a preference for cow's milk and local cafes for quality. Many opposed the extra charges for non-dairy options, citing lactose intolerance or allergies, especially among Gen Z and Millennials. Regional variations included stronger opposition in the UK and Germany compared to the UAE and USA. The marketing for non-dairy milk was less memorable than general coffee advertisements. Regression analysis confirmed that viewing non-dairy milk as a dietary staple increased consumption, aligning with the TDF's "Beliefs about Consequences" domain. Finally, within the BCW framework, the intervention strategies centered on training and coercion were discussed. Implementing these approaches could encourage the wider adoption of non-dairy milk options in coffee shops, fostering inclusivity, health awareness, and supporting environmental sustainability efforts.

Indexed as

Behavior Change Wheelconsumer behaviornon-dairy industryplant-based dairy alternativesTheoretical Domains Framework

Identifiers

PMID39062392
PMCPMC11273792

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.