Eunil Park
Biographic Data
| ID | 3712301 |
|---|---|
| NAME | Eunil Park |
| GIVEN NAMES | Eunil |
| FAMILY NAME | Park |
| SIGNATURE | PARK E |
| AFFILIATIONS | Sungkyunkwan University |
| ORCID | 0000-0002-3177-3538 |
| VERIFIED | Yes |
| TOTAL WORKS | 34 |
| TOTAL CITATIONS | 54 |
| WORKS AS AUTHOR | 34 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Integrating visual and textual features for predicting outcomes in secondhand marketplaces
This study presents a multimodal deep learning-based prediction model tailored to the unique transaction dynamics of secondhand trading, aimed at enhancing user experience and transaction success rates on secondhand trading platforms. The model integrates multiple factors central to these transactions – including product images, post descriptions, seller transaction history, and the number of favourites – through an early fusion approach that com…
Charging Ahead? Unveiling Public Perception of Alternative Sustainable Fuel Vehicles
Climate change mitigation efforts underscore the pivotal role of Alternative Fuel Vehicles (AFVs) in reducing transportation emissions. This study investigates online discourse patterns regarding AFVs in South Korea using YouTube comments data from 2010 to 2024. By applying Keyword Co‐occurrence Network and sentiment analysis, we examine public opinions and emotional responses over time. This study analyzes the structure and evolution of AFV‐rela…
Toward Sustainable Agentic AI Systems
Considering that the field of Artificial Intelligence (AI) is shifting toward autonomous, goal‐oriented systems, there is a need for a systematic overview of the emerging Agentic AI landscape. We attempt to provide a survey of Agentic AI presented and examined by large‐scale models, demonstrating the foundational architectures, diverse applications, and inherent technical challenges of these systems. We propose a robust multidimensional taxonomy …
Exploring political orientation
On February 24, 2022, the Russian government launched a “special military operation," triggering the Ukraine-Russia conflict. In response, the United States government condemned Russia’s actions and continued to provide economic and military support to Ukraine. However, within U.S. society, policy perspectives on Ukraine varied depending on political orientation. To analyze these differences, we collected news articles produced by U.S. media outl…
Analyzing media bias in defense and foreign affairs
Moss-6
Peer-based social support has proven to be an effective approach for enhancing recovery and coping mechanisms among individuals with mental disorders. Early intervention is crucial in treating mental disorders, as delays can lead to chronic conditions requiring sustained management. However, social stigma and limited public funding for mental health services in Korea have severely restricted access, creating a significant gap between the demand f…
Reconceptualizing the metaverse
Determinants of South Korean adolescents' offline and online violence
Adolescent violence has been one of the most serious social concerns for the last few decades. With the rapid development and spread of the Internet and digital technologies, online violence has become another major type of adolescent violence. This study investigates the antecedents of South Korean adolescents’ offline and online violence by employing both the theoretical and empirical foundations of traditional violence literature. The research…
Eae-Gan
With the growing ubiquity and broad usage, emojis are widely used as a universal visual language, which complements the intentions and emotions beyond the textual data. Despite the critical role of representing emotion, existing emojis neglect the subtle and complex properties of human emotion in that only countable and finite face emojis exist in a categorical manner. In this article, we propose a novel approach to facial emoji generation, which…
Data-driven analysis on the performance evaluation of national R&D projects in Korea
Analysis of a Collaborative Research Network of Botulinum Toxin Clinical Trials
Recently, pharmaceutical companies have been striving to occupy a greater percentage of the global market with clinical research actively being conducted through mutual collaboration networks. In particular, the international Botulinum toxin (BT) market is characterized by intensifying competition. The majority of BT research has been conducted in the United States and Europe, whilst various countries have started their regional research through …
Examining metaverse game platform adoption
Motivations for user satisfaction of mobile fitness applications
Considering that mobile fitness applications are one of the necessities in our lives, the user perspective toward the application is a prominent research topic in both academia and industry with the goal of improving such services. Thus, this study applies two different natural language processing approaches, bag-of-words, and sentiment analysis, to online review comments of the applications to examine the effects of user experience elements. The…
Detecting depression on video logs using audiovisual features
Detecting depression on social media has received significant attention. Developing a depression detection model helps screen depressed individuals who may need proper treatment. While prior work mainly focused on developing depression detection models with social media posts, including text and image, little attention has been paid to how videos on social media can be used to detect depression. To this end, we propose a depression detection mode…
Data-driven approaches into political orientation and news outlet discrimination
Can we predict the Billboard music chart winner? Machine learning prediction based on Twitter artist-fan interactions
The Billboard chart is a clear barometer for measuring a song's success in the music industry. Therefore, a number of artists and affiliated marketers in the music industry have attempted to determine how to emerge at the top of the chart. In the current study, artist-fan interactions on social media are examined as one of the possible indicators to predict the success of songs on the Billboard Hot 100 chart. The performance of a song on the Bill…
A lexicon-based approach to examine depression detection in social media
Globally, the number of people who suffer from depression is consistently increasing. Because both detecting and addressing the early stage of depression is one of the strongest factors for effective treatment, a number of scholars have attempted to examine how to detect and address early-stage depression. Recent studies have been focusing on the use of social media for depression detection where users express their thoughts and emotions freely. …
Movie Recommendation Systems Using Actor-Based Matrix Computations in South Korea
A recommendation system saves the user the trouble of searching for information and analyzes their profile to recommend the most suitable content. A variety of techniques, including content-based, collaborative, and knowledge-based techniques, have been proposed for performing recommendations. Recommendation systems are employed to suggest content, such as books, music, and videos; furthermore, they are often used in e-commerce. In particular, th…
Effects of political orientation on sentiment features
Determinants of consumer acceptance of mobile healthcare devices
For sustainable development in the transportation sector
With global interest in environmental concerns, the importance of sustainable development has consistently increased. With this trend, the concept of sustainable transportation is an urgent issue in both developed and developing countries. Thus, the current study examines user adoption of sustainable transportation and proposes an integrated model of two theoretical frameworks: the innovation diffusion theory and technology acceptance model. The …
FibVID
Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea
Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of social-environmental and behavioral risk factors on NCDs as well as the effects of social-environmental factors on behavioral risk factors using an integrated research model. This study used a dataset from the 2017 Korea National Healt…
Behind the scenes of K-pop fandom
Cross-cultural comparison of interactive streaming services
Caregiving role in human–robot interaction
What drives successful social networking services? A comparative analysis of user acceptance of Facebook and Twitter
This study identifies perceived mobility, security, connectedness, system and service quality, usefulness, attitude, and flow experience as key motivational factors for using social networking services (SNSs), and develops a theoretical model that explicates the process in which users adopt Facebook and Twitter by integrating these factors with the technology acceptance model (TAM). While results of structural equation modeling (SEM) on the colle…
For sustainable development in the transportation sector
With global interest in environmental concerns, the importance of sustainable development has consistently increased. With this trend, the concept of sustainable transportation is an urgent issue in both developed and developing countries. Thus, the current study examines user adoption of sustainable transportation and proposes an integrated model of two theoretical frameworks: the innovation diffusion theory and technology acceptance model. The …
Behind the scenes of K-pop fandom
Assessing the Effects of Corporate Sustainable Management on Customer Satisfaction
This study identifies the environmental, social, economic and ethical responsibilities of a firm as key components of successful sustainable management, and investigates how these corporate responsibilities contribute to enhancing competiveness and customer satisfaction. A structural equation modelling analysis was conducted on data collected from 914 customers of railway service users in South Korea. The results indicate that firms' environmenta…
Reconceptualizing the metaverse
Appropriate Technology for Sustainable Ecosystems
Recent development and sustainable improvement studies have been conducted to investigate the effects of appropriate technology on the growth of developing and developed countries. As one of the most notable official development assistance methods for developing countries, appropriate technology has been widely used for improving location situations in various industry sectors such as IT (information technology), environment and energy. Among the…
What drives “customer loyalty”? The role of corporate social responsibility
Given the importance of customer loyalty in the sustainability and success of the service industry, this study develops a loyalty‐enhancement model that integrates corporate social responsibility, service quality, customer satisfaction, and trust and applies the model to the case of South Korean mobile telecommunication service companies in order to explicate the process through which these factors contribute to increasing the sense of loyalty am…
Caregiving role in human–robot interaction
What drives successful social networking services? A comparative analysis of user acceptance of Facebook and Twitter
This study identifies perceived mobility, security, connectedness, system and service quality, usefulness, attitude, and flow experience as key motivational factors for using social networking services (SNSs), and develops a theoretical model that explicates the process in which users adopt Facebook and Twitter by integrating these factors with the technology acceptance model (TAM). While results of structural equation modeling (SEM) on the colle…
Appropriate Technology for Sustainable Ecosystems
Recent development and sustainable improvement studies have been conducted to investigate the effects of appropriate technology on the growth of developing and developed countries. As one of the most notable official development assistance methods for developing countries, appropriate technology has been widely used for improving location situations in various industry sectors such as IT (information technology), environment and energy. Among the…
Assessing the Effects of Corporate Sustainable Management on Customer Satisfaction
This study identifies the environmental, social, economic and ethical responsibilities of a firm as key components of successful sustainable management, and investigates how these corporate responsibilities contribute to enhancing competiveness and customer satisfaction. A structural equation modelling analysis was conducted on data collected from 914 customers of railway service users in South Korea. The results indicate that firms' environmenta…
Innovation activities and the creation of new employment
The study proposes an integrated model to explore the effects of different innovation strategies on the creation of new employment. To verify the model, 532 manufacturing firms in South Korea were investigated. The results indicated that firms' product innovation strategies had notable positive effects on firms' creation of new employment, whereas firms' process innovation strategies were negatively associated with the creation of new employment.…
Towards a Sustainable Island
What drives “customer loyalty”? The role of corporate social responsibility
Given the importance of customer loyalty in the sustainability and success of the service industry, this study develops a loyalty‐enhancement model that integrates corporate social responsibility, service quality, customer satisfaction, and trust and applies the model to the case of South Korean mobile telecommunication service companies in order to explicate the process through which these factors contribute to increasing the sense of loyalty am…
Effects of initial public offerings on economic performance of small and medium-sized enterprises
This study investigates the effects of the initial public offerings (I.P.O.s) of small and medium-sized enterprises (S.M.E.s) and their efforts to cooperate with large conglomerates on S.M.E.s’ economic performance and job creation. This study conducted a series of analyses of variance with a 2 × 2 between-subject design (I.P.O.s and cooperation with large conglomerates) and multiple regression analyses for credit ratings using 4419 and 3919 samp…
Cross-cultural comparison of interactive streaming services
Can AI be a content generator? Effects of content generators and information delivery methods on the psychology of content consumers
FibVID
Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea
Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of social-environmental and behavioral risk factors on NCDs as well as the effects of social-environmental factors on behavioral risk factors using an integrated research model. This study used a dataset from the 2017 Korea National Healt…
Behind the scenes of K-pop fandom
A lexicon-based approach to examine depression detection in social media
Globally, the number of people who suffer from depression is consistently increasing. Because both detecting and addressing the early stage of depression is one of the strongest factors for effective treatment, a number of scholars have attempted to examine how to detect and address early-stage depression. Recent studies have been focusing on the use of social media for depression detection where users express their thoughts and emotions freely. …
Movie Recommendation Systems Using Actor-Based Matrix Computations in South Korea
A recommendation system saves the user the trouble of searching for information and analyzes their profile to recommend the most suitable content. A variety of techniques, including content-based, collaborative, and knowledge-based techniques, have been proposed for performing recommendations. Recommendation systems are employed to suggest content, such as books, music, and videos; furthermore, they are often used in e-commerce. In particular, th…
Effects of political orientation on sentiment features
Determinants of consumer acceptance of mobile healthcare devices
For sustainable development in the transportation sector
With global interest in environmental concerns, the importance of sustainable development has consistently increased. With this trend, the concept of sustainable transportation is an urgent issue in both developed and developing countries. Thus, the current study examines user adoption of sustainable transportation and proposes an integrated model of two theoretical frameworks: the innovation diffusion theory and technology acceptance model. The …
Motivations for user satisfaction of mobile fitness applications
Considering that mobile fitness applications are one of the necessities in our lives, the user perspective toward the application is a prominent research topic in both academia and industry with the goal of improving such services. Thus, this study applies two different natural language processing approaches, bag-of-words, and sentiment analysis, to online review comments of the applications to examine the effects of user experience elements. The…
Detecting depression on video logs using audiovisual features
Detecting depression on social media has received significant attention. Developing a depression detection model helps screen depressed individuals who may need proper treatment. While prior work mainly focused on developing depression detection models with social media posts, including text and image, little attention has been paid to how videos on social media can be used to detect depression. To this end, we propose a depression detection mode…
Data-driven approaches into political orientation and news outlet discrimination
Can we predict the Billboard music chart winner? Machine learning prediction based on Twitter artist-fan interactions
The Billboard chart is a clear barometer for measuring a song's success in the music industry. Therefore, a number of artists and affiliated marketers in the music industry have attempted to determine how to emerge at the top of the chart. In the current study, artist-fan interactions on social media are examined as one of the possible indicators to predict the success of songs on the Billboard Hot 100 chart. The performance of a song on the Bill…
Determinants of South Korean adolescents' offline and online violence
Adolescent violence has been one of the most serious social concerns for the last few decades. With the rapid development and spread of the Internet and digital technologies, online violence has become another major type of adolescent violence. This study investigates the antecedents of South Korean adolescents’ offline and online violence by employing both the theoretical and empirical foundations of traditional violence literature. The research…
Eae-Gan
With the growing ubiquity and broad usage, emojis are widely used as a universal visual language, which complements the intentions and emotions beyond the textual data. Despite the critical role of representing emotion, existing emojis neglect the subtle and complex properties of human emotion in that only countable and finite face emojis exist in a categorical manner. In this article, we propose a novel approach to facial emoji generation, which…
Data-driven analysis on the performance evaluation of national R&D projects in Korea
Computer Science (25 works) · Psychology (14 works) · Business (13 works) · Political science (10 works) · Digital Marketing and Social Media (8 works) · Marketing (8 works) · Artificial Intelligence (7 works) · Social media (7 works) · World Wide Web (7 works) · Knowledge management (6 works)