Jaekyeong Kim
Biographic Data
| ID | 6909281 |
|---|---|
| NAME | Jaekyeong Kim |
| GIVEN NAMES | Jaekyeong |
| FAMILY NAME | Kim |
| SIGNATURE | KIM J |
| AFFILIATIONS | Kyung Hee University |
| ORCID | 0000-0002-4036-404X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An Analysis of the Moderating Effect of Ethnic Restaurants on Hedonic and Utilitarian Evaluations in Restaurant Review Data
As demand for dining out rises with income, reviews on platforms like Yelp.com have surged, making it harder for consumers to select suitable restaurants. This study uses the Elaboration Likelihood Model to analyze factors influencing Helpful and Funny Votes in reviews and explores the moderating effect of restaurant type (ethnic vs. non‐ethnic). Analyzing Yelp reviews from New York City, it examines central cues (cognitive effort, emotional expe…
Analyzing Factors Affecting Overall Customer Satisfaction Using Hotel Ratings and Reviews With Bertopic and Three-Factor Theory
This research was conducted to aid hotels in identifying and enhancing the hotel selection attributes that customers deem important for maintaining revenue and competitive advantage. Departing from conventional survey methods, we utilized BERTopic on the extensive review data from TripAdvisor to extract crucial hotel selection attributes. Through RIPA and PRCA analyses across various hotel star ratings, we sought insights into customer perception…
Exploring Determinants of Job Satisfaction Among Restaurant Employees from Review Data Using Mixed Method Research
To ensure high-quality customer service, it is of utmost importance for restaurant employees to experience high job satisfaction. Recent indicate that many job seekers place more trust in information provided by job portal websites rather than one directly offered by companies. Therefore, this study adopts mixed-method research based on employee-generated corporate reviews within the restaurant service sector sourced from the Korean job portal si…
Determinants of Length of Stay for Medical Inpatients Using Survival Analysis
With the increase in insured patients and an aging population, managing the length of stay (LOS) for inpatients has become crucial for controlling medical costs. Analyzing the factors influencing LOS is necessary for effective management. Previous studies often used multiple or logistic regression analyses, which have limitations such as unmet assumptions and the inability to handle time-dependent variables. To address these issues, this study ap…
Exploring Determinants of Job Satisfaction
Compared to other sectors, the restaurant industry has a high reliance on human resources through active interactions with customers. Therefore, it is important to identify job satisfaction among employees and satisfy their needs at work in order to provide high customer service. Until now, surveys have been the traditional method for measuring employees’ job satisfaction. Recently, numerous studies have analyzed employee job satisfaction based o…
Does the internet kill newspapers? The case of South Korea
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Does the internet kill newspapers? The case of South Korea
Exploring Determinants of Job Satisfaction
Compared to other sectors, the restaurant industry has a high reliance on human resources through active interactions with customers. Therefore, it is important to identify job satisfaction among employees and satisfy their needs at work in order to provide high customer service. Until now, surveys have been the traditional method for measuring employees’ job satisfaction. Recently, numerous studies have analyzed employee job satisfaction based o…
Determinants of Length of Stay for Medical Inpatients Using Survival Analysis
With the increase in insured patients and an aging population, managing the length of stay (LOS) for inpatients has become crucial for controlling medical costs. Analyzing the factors influencing LOS is necessary for effective management. Previous studies often used multiple or logistic regression analyses, which have limitations such as unmet assumptions and the inability to handle time-dependent variables. To address these issues, this study ap…
Analyzing Factors Affecting Overall Customer Satisfaction Using Hotel Ratings and Reviews With Bertopic and Three-Factor Theory
This research was conducted to aid hotels in identifying and enhancing the hotel selection attributes that customers deem important for maintaining revenue and competitive advantage. Departing from conventional survey methods, we utilized BERTopic on the extensive review data from TripAdvisor to extract crucial hotel selection attributes. Through RIPA and PRCA analyses across various hotel star ratings, we sought insights into customer perception…
Exploring Determinants of Job Satisfaction Among Restaurant Employees from Review Data Using Mixed Method Research
To ensure high-quality customer service, it is of utmost importance for restaurant employees to experience high job satisfaction. Recent indicate that many job seekers place more trust in information provided by job portal websites rather than one directly offered by companies. Therefore, this study adopts mixed-method research based on employee-generated corporate reviews within the restaurant service sector sourced from the Korean job portal si…
An Analysis of the Moderating Effect of Ethnic Restaurants on Hedonic and Utilitarian Evaluations in Restaurant Review Data
As demand for dining out rises with income, reviews on platforms like Yelp.com have surged, making it harder for consumers to select suitable restaurants. This study uses the Elaboration Likelihood Model to analyze factors influencing Helpful and Funny Votes in reviews and explores the moderating effect of restaurant type (ethnic vs. non‐ethnic). Analyzing Yelp reviews from New York City, it examines central cues (cognitive effort, emotional expe…
Business (4 works) · Customer Service Quality and Loyalty (4 works) · Digital Marketing and Social Media (3 works) · Marketing (3 works) · Psychology (3 works) · Technology Adoption and User Behaviour (3 works) · Applied Psychology (2 works) · Computer Science (2 works) · Economics (2 works) · Job satisfaction (2 works)