scispace - formally typeset
H

Hee-Cheol Moon

Researcher at Chungnam National University

Publications -  30
Citations -  475

Hee-Cheol Moon is an academic researcher from Chungnam National University. The author has contributed to research in topics: Technology acceptance model & Export performance. The author has an hindex of 6, co-authored 23 publications receiving 220 citations.

Papers
More filters
Journal ArticleDOI

What Drives Customer Satisfaction, Loyalty, and Happiness in Fast-Food Restaurants in China? Perceived Price, Service Quality, Food Quality, Physical Environment Quality, and the Moderating Role of Gender

TL;DR: It is indicated that customers’ perceptions of food quality based on price and satisfaction levels based on service quality differ significantly between the genders, which demonstrated that gender moderation exists in food consumption.
Journal ArticleDOI

Influence of Role Stress on Industrial Salespeople's Work Outcomes in the United States, Japan and Korea

TL;DR: In this article, the impact of role stress on performance, job satisfaction, and organizational commitment of industrial salespeople from the United States, Japan, and Korea was examined, and cross-national hypotheses indicate general consistency in the findings across the three countries.
Journal ArticleDOI

Investigating Consumer Attitude and Intention towards Online Food Purchasing in an Emerging Economy: An Extended TAM Approach.

TL;DR: Results from structural equation modeling show that perceived usefulness, perceived ease of use, and website trust are important drivers of attitude towards online food purchasing and that online food sellers must endeavor to make their websites simple to use, easy to navigate, reliable, and secure.
Journal ArticleDOI

Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model

TL;DR: Wang et al. as discussed by the authors investigated the possible factors that drive Chinese customers' willingness to utilize facial recognition payment and found that factors such as perceived enjoyment, facilitating conditions, personal innovativeness, coupon availability, perceived ease of use (PEOU), perceived usefulness (PU), and users' attitude are main drivers of customers' decisions to use facial recognition payments.
Journal ArticleDOI

What Can Drive Consumers’ Dining-Out Behavior in China and Korea during the COVID-19 Pandemic?

TL;DR: In this article, the authors adopted the structural equation modeling (SEM) method with 508 surveys collected from China and Korea to find out the key drivers of consumers' dining-out intentions and their internal relationships.