Structural Relationship Between Attributes of Corporate Social Responsibility, Trust, and Positive Emotion in the Case of a Food Delivery Application System

• 영문명: Structural Relationship Between Attributes of Corporate Social Responsibility, Trust, and Positive Emotion in the Case of a Food Delivery Application System
• 발행기관: People & Global Business Association
• 저자명: Joonho Moon Yunho Ji
• 간행물 정보: 『Global Business and Finance Review』Vol.29 No.3, 136~148쪽, 전체 13쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2024.04.30

영문 초록

Purpose: The purpose of this research is to expand the explanatory power of stakeholder theory and explore the validity of its application in the area of food delivery application systems. Design/methodology/approach: The attributes of stakeholder theory are price fairness, healthiness, environmental packaging, restaurant welfare, and delivery person welfare. The explained attributes of this work are trust and positive emotion. A total of 343 samples were used for data analysis using Amazon Mechanical Turk for data collection. This work implemented structural equation model analysis to test the research hypotheses. Findings: The results revealed that price fairness and restaurant welfare positively affected trust and that delivery person welfare positively impacted positive emotion. Research limitations/implications: This study is worthwhile to ensure the explanatory power of stakeholder theory in the area of food delivery application systems. Originality/value: The study investigated stakeholder management effects on trust and positive emotions in the food delivery application systems. This research aims to analyze the influence of stakeholder management on trust and positive emotions in food delivery application systems. Additionally, it explores the sustainability of future AI platform businesses.

목차

Ⅰ. Introduction

Ⅱ. Review of the Literature

Ⅲ. Method

Ⅳ. Results

Ⅴ. Conclusions

Acknowledgements

References

키워드

Food delivery application system Stakeholder theory Trust Positive emotion Artificial intelligence Platform business