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Record W7043620168

Unpacking the Intention-Behaviour Gap in Canadian Consumers’ Food Purchasing Decisions

2023· dissertation· en· W7043620168 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Packaging Perceptions and Trends
Canadian institutionsUniversity of Waterloo
FundersMitacs
KeywordsPurchasingFood packagingCompetition (biology)Consumer behaviourUnpackingPoint of saleConsumer research
DOInot available

Abstract

fetched live from OpenAlex

Canada has a deep-rooted reliance on single-use plastic in the food industry, with little evidence of changing its use of plastic as a durable, convenient, and cost-effective choice of packaging material to process, package, deliver and sell food to Canadian consumers (Schweitzer et al., 2018; Sundqvist-Andberg & Åkerman, 2021). A majority of Canadian consumers (73.4 percent) support banning single-use plastic food packaging in favour of more sustainable food packaging options, according to a consumer survey by Dalhousie University (Walker et al., 2021). However, barriers at the point-of-purchase, including the higher price tag and limited availability of food without plastic packaging, limit the purchase of plastic-free food products in Canada. This quantitative research project was undertaken to 1) segment consumers based on their consumer opinions regarding single-use food packaging, 2) determine the pre-purchasing intentions and point-of-purchase behaviour of Canadian consumers, and 3) determine if any gap exists between consumers’ intention and their purchasing decisions when food shopping. The Theory of Planned Behaviour explains the connection between consumer intention (“intention”) and purchasing decisions (“behaviour”) (Ajzen, 1991). Data was collected from Ontario food shoppers using a custom mobile app to capture both consumers' intentions before shopping for food and their purchasing decisions while food shopping. The data of 95 participants who completed the study - a competition rate of 42.04 percent - was segmented into Green (20 percent) and Grey (80 percent) consumer segments for comparative analysis between the two groups. The results show that both Green and Grey Consumers are more strongly influenced by their in-store purchasing decisions regarding packaging than their pre-shopping intentions which current intention-only surveys would not reveal. This research provides evidence of consumer support for the shift to more plastic-free food products in Canadian supermarkets. The researcher intends to develop the mobile app used for this research project into a commercially viable version to support the shift away from single-use plastic food packaging.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.229
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it