Earticle

초록

영어

Convenience store home meal replacement (HMR) has become an everyday part of university students' diets, who face limited time and tight budgets, yet it remains unclear which product attributes actually lead these consumers to make repeat purchases. This study tests a value-based mediation model in which five selection attributes of convenience store HMR (convenience, diversity, economic value, health quality, and taste quality) are modeled as antecedents of perceived value, which subsequently predicts purchase satisfaction and repurchase intention. Survey responses from university students with recent experience purchasing convenience store HMR were analyzed using partial least squares structural equation modeling (PLS-SEM), a method well suited to a multi-predictor, prediction-oriented model with a mediating construct. The measurement model demonstrated satisfactory indicator reliability, internal consistency reliability, and convergent validity, while discriminant validity was further examined using HTMT inference. At the structural level, convenience, diversity, economic value, and taste quality each exerted a significant positive effect on perceived value, whereas health quality did not. Perceived value significantly increased purchase satisfaction, and both perceived value and purchase satisfaction significantly predicted repurchase intention. These results indicate that, within the convenience store channel, university students appear to base their evaluation of HMR mainly on immediate, utilitarian, and sensory benefits rather than on health considerations, a pattern with concrete implications for how manufacturers and retailers should develop and promote HMR products aimed at this consumer segment.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Theoretical Background and Hypothesis Development
2.1 Convenience Store HMR Consumption among University Students
2.2 Selection Attributes of HMR and Perceived Value
2.3 Perceived Value, Purchase Satisfaction, and Repurchase Intention
Ⅲ. Research Model
3.1 Research Model
3.2 Data Collection and Analysis Method
3.3 Measures
Ⅳ. Results
4.1 Sample Characteristics
4.2 Reliability and Convergent Validity
4.3 Hypothesis Testing
Ⅴ. Conclusion
5.1 Summary of Research Results and Implications
5.2 Limitations and Future Research
References

키워드

저자

• Min-Yeong Park [ Lecturer, Department of Smart Distribution and Logistics, Gyeongsang National University ]
• Jae-Ik Shin [ Professor, Department of Smart Distribution and Logistics, Gyeongsang National University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  산업혁신연구 [The Journal of Industrial Innovation]

• 간기

  계간

• pISSN

  2005-2936

• eISSN

  2800-0080

• 수록기간

  1985~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658