Article
Economics
Min Zhou, Piao Long, Nan Kong, Lindu Zhao, Fu Jia, Kathryn S. Campy
Summary: The study examines the factors influencing Chinese taxi drivers' adoption of electric vehicles, finding that factors such as satisfaction, performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, price value, and habit influence drivers' intention to use electric vehicles. Additionally, the study suggests further investigation into taxi drivers' satisfaction with different incentive policies and improving hedonic motivation for taxi drivers to increase actual use of electric vehicles.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Business
Gibbson Adu-Gyamfi, Huaming Song, Ama Nyarko Asamoah, Liang Li, Emmanuel Nketiah, Bright Obuobi, Mavis Adjei, Dan Cudjoe
Summary: Battery swap technology is an innovative approach to addressing range anxiety in electric vehicles and promoting environmental sustainability. User attitudes, convenience, and knowledge positively influence adoption intention, while risk and safety concerns adversely impact intention.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Information Systems
Hamza El Hafdaoui, Ahmed Khallaayoun
Summary: This research presents a comprehensive model for assessing the social impact of alternative fuel vehicles, adaptable to any country and producing objective results. Case-by-case assessments are conducted using indicators scored from zero to five. The model's case study in Morocco highlights the superior performance of hybrid-electric vehicles. The authors suggest including more alternative fuel vehicles and social variables in the model.
Article
Mathematics
Naihui Wang, Yulong Pei, Yi-Jia Wang
Summary: The electric shuttle bus service is an environmentally friendly transportation method that offers flexible shuttle services and enhances travel convenience. Users' willingness to accept the service is crucial, with attitude being the strongest antecedent of adoption.
Article
Computer Science, Cybernetics
Xiao-Feng Sun
Summary: The promotion and application of autonomous vehicles (AVs) will bring significant economic and environmental benefits to society, with the public acceptance level being a crucial factor. This research proposes a new framework based on the technology acceptance model (TAM) and information system success (ISS) model to explain public acceptance from the perspective of AVs information systems. The framework examines the relationship between variables such as system quality, information quality, service quality, perceived usefulness, perceived ease-of-use, and AVS acceptance, as well as the mediating role of perceived ease-of-use and perceived usefulness. Based on a survey of 323 respondents, the results indicate that system quality, information quality, and service quality are key factors affecting AVS acceptance. Furthermore, perceived ease of use has a greater mediating effect on explanatory variables with AVs acceptance compared to perceived usefulness. The research also suggests that AVs manufacturers should focus on system quality and information interaction mode in the design and development process to improve ease of use and reduce cognitive load, thereby enhancing AVs acceptance and adoption.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Thermodynamics
Brian Caulfield, Dylan Furszyfer, Agnieszka Stefaniec, Aoife Foley
Summary: The shift to electric vehicles is considered an important step to reduce carbon emissions in the transportation sector. However, challenges related to charging infrastructure, reliability, range, and environmental impact of batteries need to be addressed. This study analyzes the characteristics of private EV household charger population and finds that urban areas have higher concentrations of EV ownership while lower income categories may face financial barriers to adopting EVs.
Article
Psychology, Multidisciplinary
B. S. Zhang, Kashif Ali, Thavamaran Kanesan
Summary: This study investigates the impact of external factors on consumer behavioral intention for electric vehicles (EVs), and the mediating role of perceived ease of use (PEU) and perceived usefulness (PU) between external factors and behavioral intention. The results show that two external factors have a positive relationship with the model constructs, and PEU and PU mediate the relationship between external factors and behavioral intention. Additionally, the study reveals gender-related differences in the TAM for EVs.
FRONTIERS IN PSYCHOLOGY
(2022)
Review
Computer Science, Information Systems
Vigna K. Ramachandaramurthy, Aidha Muhammad Ajmal, Padmanathan Kasinathan, Kang Miao Tan, Jia Ying Yong, R. Vinoth
Summary: This paper provides a comprehensive review of studies on consumer preferences for electric vehicles (EVs), aiming to inform policy-makers and guide further research. The main obstacles that limit the social acceptance of EVs, such as driving obstacles, charging obstacles, and consumer willingness-to-pay, are discussed. Additionally, mitigation strategies are outlined as recommendations for promoting better EV deployment.
Article
Multidisciplinary Sciences
Hamed Khazaei, Mohammad Ali Tareq
Summary: The study found that social influence, facilitating conditions, environmental concern, and perceived enjoyment are important factors influencing the adoption of battery electric vehicles, but respondents also showed anxiety about the battery range.
Article
Economics
Lei Zhang, Hangyan Tong, Yuqing Liang, Quande Qin
Summary: This study aims to investigate the impact of attitudinal ambivalence on consumers' purchase intention of new energy vehicles (NEVs). The reliability of a proposed extended technology acceptance model (TAM) incorporating attitudinal ambivalence is verified through two sub-studies measuring subjective and objective attitudinal ambivalence respectively. The empirical results demonstrate that perceived usefulness, perceived ease of use, and perceived risk significantly influence the purchase intention of NEVs through the partial mediation of attitudinal ambivalence. Perceived risk and perceived ease of use have the strongest stimulating effect on attitudinal ambivalence and purchase intention respectively. Several managerial and policy implications for the advancement of NEVs are provided.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Thermodynamics
Ning Wang, Hangqi Tian, Shunbo Zhu, Yuan Li
Summary: This study investigates the acceptance of electric vehicle charging scheduling (EVCS) and its influencing factors. The majority of respondents are willing to participate in EVCS, with a preference for charging time scheduling. Perceived risk has a direct negative impact on user acceptance, while initial trust, social value, and social influence have an indirect positive impact. There are no significant differences in the acceptance of EVCS among different social attribute groups.
Article
Green & Sustainable Science & Technology
Paula Andrea Rodriguez-Correa, Sebastian Franco-Castano, Jonathan Bermudez-Hernandez, Alejandro Valencia-Arias, Jose Manuel Barandiaran-Gamarra
Summary: The attitudinal factors associated with the use of PMVs are identified using the theory of planned behaviour and a modified technological acceptance model. Green attitudes, perceived green value, and loyalty stand out as important factors, with loyalty being a predictive variable of the model. The study reveals that feelings of enjoyment, usefulness, and perception of caring for the environment have a significant influence on PMV users' loyalty to this green technology.
Article
Business
Jein Park, Semi Han
Summary: Although autonomous vehicles are expected to benefit older consumers in terms of physical and social health, the acceptance rate among this demographic is not high. This study develops a research model to explore the factors influencing baby boomers' acceptance of autonomous vehicles using the Automation Acceptance Model. Through an anonymous online survey, the research model was examined, and the implications of improved mobility due to autonomous vehicles on the healthy life of older consumers were proposed.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2023)
Article
Environmental Sciences
Nasir Ishfaq, Huang Mengxing
Summary: This study aimed to investigate the factors influencing consumers' behavior in adapting and using internet-based services during the COVID-19 crisis, finding that behavioral intention showed significant correlations with facilitating conditions and task technology fit among active social media users in Pakistan.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Cybernetics
Devon Farmer, Hyun Kim, Jinwoo Lee
Summary: Understanding the mechanism of how people perceive and accept Shared Autonomous Vehicles (SAVs) is crucial for reaping the benefits they bring to transportation networks. Our study found a connection between trust in the safety of existing automated transport modes and acceptance of SAVs. Key factors influencing acceptance included trust in safety, hedonic motivation, ease-of-use, usefulness, and knowledge of automated transport. Additionally, experience with automated railways negatively moderated the relationship between hedonic motivation and intention to use SAVs.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Jina Kim, Eunil Park
Summary: This study applies the concept of user resistance behavior to explain the intention to continue using IoT services, and confirms the roles of perceived benefits, risk, and external factors such as privacy concerns, trust, and ease of use in influencing the intention to use IoT services.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
SangEun Lee, Dahye Jeong, Eunil Park
Summary: Emojis have become a new tool for visual and linguistic expression on social media, allowing users to convey emotions and communicate with each other. To predict the most likely emojis within a text, a new deep neural network model called MultiEmo (multi-task framework for emoji prediction) is proposed, which considers the emotion detection task. Experimental results on the Twitter dataset show that MultiEmo outperforms existing models, indicating its ability to learn richer representations from semantically related tasks. New evaluation metrics are also introduced to measure the comprehensive performance of the models.
KNOWLEDGE-BASED SYSTEMS
(2022)
Review
Computer Science, Interdisciplinary Applications
Yeonju Jang, Eunil Park
Summary: This study investigates how user groups and domains influence user experience of mobile applications, using two-factor theory and analysis of review comments. The results show that user groups and domains have a significant impact on user-perceived usability and affection, while user groups have no effect on the perceived usefulness of mobile applications.
Article
Energy & Fuels
Dahye Jeong, Jisu Kim, Daejin Choi, Eunil Park
Summary: This study collected user-created contents on social networking services and proposed a new word network model to observe public perceptions of energy issues swiftly. The results demonstrated the effectiveness of the model and methodologies in addressing specific energy issues. Additionally, the study highlighted the importance of social networking services as notable resources for exploring public perceptions of energy issues.
ENERGY STRATEGY REVIEWS
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Soyoung Oh, Honggeun Ji, Jina Kim, Eunil Park, Angel P. del Pobil
Summary: This study combines deep learning techniques with the expectation-confirmation theory to predict customer satisfaction in hospitality services using customer hotel review comments, hotel information, and images. The proposed fused model achieved an accuracy of 83.54% and improved the recall value for predicting dissatisfaction from 16.46% to 33.41%.
INFORMATION TECHNOLOGY & TOURISM
(2022)
Article
Computer Science, Cybernetics
Jihwan Aum, Jisu Kim, Eunil Park
Summary: This study examines artist-fan interactions on social media as a possible indicator for predicting a song's success on the Billboard Hot 100 chart. The XGBoost model using quote-tweet interaction data shows the highest classification performance, indicating the strong relevance of interaction features extracted from quote-tweets to a song's success. The study provides a simplified approach for observing and understanding public perception in the music industry through social media interactions, and suggests facilitating artist-fan interactions on social media as a valid strategy for making songs more successful.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Eun Been Choi, Jisu Kim, Dahye Jeong, Eunil Park, Angel P. del Pobil
Summary: This article introduces one of the first approaches to understand agro headlines and thumbnails on YouTube, and achieved high accuracy in detecting them with a Bi-LSTM model. This automatic detection can improve user experience in browsing and accessing desired content online.
JOURNAL OF INFORMATION SCIENCE
(2022)
Article
Information Science & Library Science
Hyeongjin Ahn, Eunil Park
Summary: This study presents a framework for consumer acceptance of mobile healthcare devices and examines how two user-centric theories, the coolness concept and technology acceptance model, elucidate consumer intention to use the devices. The results show that utility, attractiveness, subcultural appeal, and ease of use play significant roles in determining consumer attitude towards the devices, while originality has no significant effect. Additionally, perceived cost is not related to consumer intention to use the devices; intention is primarily determined by attitude. Based on these findings, the paper presents academic and practical implications.
TELEMATICS AND INFORMATICS
(2022)
Article
Development Studies
Hyeongjin Ahn, Eunil Park
Summary: With increasing global interest in environmental concerns, sustainable development has become more important. This study investigates the adoption of sustainable transportation and proposes an integrated theoretical model, combining the innovation diffusion theory and technology acceptance model. The findings show that users' intention to use sustainable transportation is influenced by perceived usefulness, attitude, environmental knowledge, and perceived compatibility. The practical and theoretical implications of these findings are discussed.
SUSTAINABLE DEVELOPMENT
(2022)
Article
Computer Science, Artificial Intelligence
Dahye Jeong, Soyoung Oh, Eunil Park
Summary: Social network services are widely used, and hashtags have been shown to greatly improve user engagement. Previous studies have attempted to recommend appropriate hashtags for social media users by extracting important features from text and images. This paper proposes a model called DemoHash, which utilizes users' demographic information extracted from their selfie images to recommend hashtags. Experimental results show that our proposed model outperforms existing hashtag recommendation methods in terms of F1-score, Precision, and Recall. Our approach effectively combines content-based and user-oriented modeling for personalized hashtag recommendation.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Review
Computer Science, Artificial Intelligence
Jiwon Kang, Jeewoo Yoon, Eunil Park, Inyoung Han
Summary: This paper investigates the practice of user tagging in Instagram and reveals that it is widely used for friendly conversations and socializing. It proposes a learning-based model to classify the motivation of user tagging and achieves a high accuracy in identifying motivations. The study provides insights into user responses and the importance of user tagging in social media platforms.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Information Science & Library Science
Jiyeon Im, Eunil Park
Summary: This study examines the effects of the political orientation of online news outlets on the sentiment scores of news content and user comments. The results show that both titles and comments are significantly influenced by the political orientations of online news outlets and candidates.
TELEMATICS AND INFORMATICS
(2022)
Article
Information Science & Library Science
Yanyan Chi, Eunil Park
Summary: Recently, there has been considerable attention on analyzing the characteristics of viral content in the social media field. This study focuses on the characteristics of popular instant videos and the discussions surrounding them, and how they differ from other viral content.
Article
Information Science & Library Science
Hyerim Yu, Eunil Park
Summary: 'Webtoon' is a popular digital version of comics in South Korea, and it is crucial to establish new conditions and regulations on webtoon services for both users and providers. This study proposes an automated webtoon content age restriction model using both machine learning and traditional approaches, achieving high accuracy and F1-score in predicting the age restrictions based on webtoon descriptions and thumbnails.
TELEMATICS AND INFORMATICS
(2023)
Article
Mathematical & Computational Biology
Seungpeel Lee, Jisu Kim, Eun Been Choi, Sojung Shin, Dogun Kim, HyeRim Yu, Seoyun Kim, Wongi S. Na, Eunil Park
Summary: Collaboration network analysis and identification of key researchers play a crucial role in the growth of developing countries in the field of ICT.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
