Analysis of Food Consumption Behavior of Elderly Consumers by Elderly Consumers Competency Type - Based on the 2023 Food Consumption Behaviors Survey -

As of December 2024, the elderly consumers is emerging as a major target class in all industries as it enters a super-aged society. Therefore, the importance of elderly consumers is also growing in the restaurant industry. Therefore, in this study, we extracted 1,004 elderly consumers aged 65 to 79 using the 2023 Food Consumption Behavior Survey Data, and analyzed food consumption behavior according to agri-food consumer competency type. The SPSS 26.0 statistical program was used as an analysis tool. Frequency analysis, exploratory factor analysis, K-means cluster analysis, one-way ANOVA, and cross-analysis (χ²) were performed. As a result of the analysis, older consumers were classified into three clusters, with significant differences in demographic characteristics, food consumption patterns, and attitudes toward food safety between clusters. The results of this study investigate the relationship between agri-food consumer competency levels and food consumption behaviors of older consumers, and based on this, highlight the need to establish customized strategies to meet the diverse needs of older consumers in the food industry.

Authors

Publication Details

Journal
Journal of Hotel & Resort
Published
2025-02-28
DOI
https://doi.org/10.62532/khrc.2025.02.24.1.313
Primary Topic
Nutrition, Health and Food Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Food Consumption Behavior of Elderly Consumers by Elderly Consumers Competency Type - Based on the 2023 Food Consumption Behaviors Survey -

Seo JungWoon, Hye-Jin Sung
Journal of Hotel & Resort
Nutrition, Health and Food Behavior
article

Analysis of Food Consumption Behavior of Elderly Consumers by Elderly Consumers Competency Type - Based on the 2023 Food Consumption Behaviors Survey -

Seo JungWoon, Hye-Jin Sung
article en

Abstract

As of December 2024, the elderly consumers is emerging as a major target class in all industries as it enters a super-aged society. Therefore, the importance of elderly consumers is also growing in the restaurant industry. Therefore, in this study, we extracted 1,004 elderly consumers aged 65 to 79 using the 2023 Food Consumption Behavior Survey Data, and analyzed food consumption behavior according to agri-food consumer competency type. The SPSS 26.0 statistical program was used as an analysis tool. Frequency analysis, exploratory factor analysis, K-means cluster analysis, one-way ANOVA, and cross-analysis (χ²) were performed. As a result of the analysis, older consumers were classified into three clusters, with significant differences in demographic characteristics, food consumption patterns, and attitudes toward food safety between clusters. The results of this study investigate the relationship between agri-food consumer competency levels and food consumption behaviors of older consumers, and based on this, highlight the need to establish customized strategies to meet the diverse needs of older consumers in the food industry.

Journal of Hotel & ResortVol. 24(1)
Zero hunger
Openalex Percentile: Top 94%
Nutrition, Health and Food Behavior
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.