Predictors of food waste management practices in the foodservice sector: a latent profile analysis of businesses in Japan

Purpose This study explores how different foodservice organisations vary in their food waste management (FWM) practices throughout the value chain (procurement, stock management and storage; menu and product design; staff and customer engagement and leftover handling) and develops a theory-driven understanding of how business characteristics, managerial capabilities and social-capital resources shape FWM. Design/methodology/approach A latent profile analysis of data from surveys of 260 foodservice business managers in Japan identified four profiles of businesses based on their FWM practices. The study also explores the demographic and business characteristics and social capital resources that influence the various FWM practices using multinomial logistic regression. Findings Consistent with social capital theory, social and professional connections are critical in facilitating access to resources integral to adopting FWM. Furthermore, business location, operating in a franchise format and staffing levels influence food service businesses’ ability to practice FWM. Originality/value New theoretical and practical implications are presented for the FWM practices of foodservice organisations, highlighting the importance of multiple internal and external stakeholders in the adoption of FWM practices. It also explicates measures to support and overcome barriers to implementing FWM practices through various phases of business operations.

Authors

Institutions

Publication Details

Journal
British Food Journal
Published
2025-09-25
DOI
https://doi.org/10.1108/bfj-10-2024-1089
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of food waste management practices in the foodservice sector: a latent profile analysis of businesses in Japan

Kohsuke Matsuoka, Rob Hallak, Craig Lee
British Food Journal
Food Waste Reduction and Sustainability
article

Predictors of food waste management practices in the foodservice sector: a latent profile analysis of businesses in Japan

Kohsuke Matsuoka, Rob Hallak, Craig Lee
article en

Abstract

Purpose This study explores how different foodservice organisations vary in their food waste management (FWM) practices throughout the value chain (procurement, stock management and storage; menu and product design; staff and customer engagement and leftover handling) and develops a theory-driven understanding of how business characteristics, managerial capabilities and social-capital resources shape FWM. Design/methodology/approach A latent profile analysis of data from surveys of 260 foodservice business managers in Japan identified four profiles of businesses based on their FWM practices. The study also explores the demographic and business characteristics and social capital resources that influence the various FWM practices using multinomial logistic regression. Findings Consistent with social capital theory, social and professional connections are critical in facilitating access to resources integral to adopting FWM. Furthermore, business location, operating in a franchise format and staffing levels influence food service businesses’ ability to practice FWM. Originality/value New theoretical and practical implications are presented for the FWM practices of foodservice organisations, highlighting the importance of multiple internal and external stakeholders in the adoption of FWM practices. It also explicates measures to support and overcome barriers to implementing FWM practices through various phases of business operations.

British Food JournalVol. 127(13)
Yamagata University (JP), University of South Africa (ZA), University of South Australia (AU)
Openalex Percentile: Top 65%
Food Waste Reduction and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.