Data

Food waste across cultures

James Cook University
McCarthy, Breda
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/qvd6-ee34&rft.title=Food waste across cultures&rft.identifier=10.25903/qvd6-ee34&rft.publisher=James Cook University&rft.description=This study aims to examine motivations for avoiding food waste in a cross cultural context using a customer journey framework. The data for this study were collected amongst Australian, British and Singaporean populations (n=1004). Purposive sampling was used. Data analysis consisted of partial least squares structural equation modeling (PLS-SEM) and descriptive analysis. An online survey was pilot-tested before administration, and a market research agency, Qualtrics, was used to recruit participants from a panel, using their incentive structures. Key variables measured are as follows: purchase intentions; guilt; price consciousness, planning, and shopping routines. Demographic data (income, age, household size, children in the home) were also collected. Data were created, processed, and analysed using Microsoft Excel (Microsoft 365), IBM SPSS Statistics (version 31), and SmartPLS (version 4).&rft.creator=McCarthy, Breda &rft.date=2026&rft.coverage=&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=Food waste avoidance&rft_subject=customer journey&rft_subject=guilt&rft_subject=price consciousness&rft_subject=cross cultural analysis&rft_subject=Consumer behaviour&rft_subject=Marketing&rft_subject=COMMERCE, MANAGEMENT, TOURISM AND SERVICES&rft_subject=Expanding knowledge in commerce, management, tourism and services&rft_subject=Expanding knowledge&rft_subject=EXPANDING KNOWLEDGE&rft.type=dataset&rft.language=English Access the data
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CC BY 4.0: Attribution 4.0 International
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This study aims to examine motivations for avoiding food waste in a cross cultural context using a customer journey framework. The data for this study were collected amongst Australian, British and Singaporean populations (n=1004). Purposive sampling was used. Data analysis consisted of partial least squares structural equation modeling (PLS-SEM) and descriptive analysis. An online survey was pilot-tested before administration, and a market research agency, Qualtrics, was used to recruit participants from a panel, using their incentive structures. Key variables measured are as follows: purchase intentions; guilt; price consciousness, planning, and shopping routines. Demographic data (income, age, household size, children in the home) were also collected.

Data were created, processed, and analysed using Microsoft Excel (Microsoft 365), IBM SPSS Statistics (version 31), and SmartPLS (version 4).

Created: 2026-04-01

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Subjects
Commerce, Management, Tourism and Services | Consumer Behaviour | Expanding Knowledge | Expanding Knowledge | Expanding Knowledge in Commerce, Management, Tourism and Services | Food waste avoidance | Marketing | cross cultural analysis | customer journey | guilt | price consciousness |

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Identifiers
  • DOI : 10.25903/QVD6-EE34
  • Local : researchdata.jcu.edu.au//published/661f22302cc211f191f2f1bf0eb85acd