• Journal of Distribution Science
• /
• v.18 no.6
• /
• pp.25-35
• /
• 2020

Purpose:Travel agencies have use digital tools in order to shift the paradigm in how business is conducted. Online travel agencies provide the same services as a normal travel agency, including hotels, transportation, guided tours, reservations, and related services, but using an "online platform. Travelers planning a trip can use a lot of forms to collect information and have access to a larger amount of information, so the factors that influence the user's behavioral intention are very important. This research has the conducted to find what factors lead to the attitudes of consumers in using OTA using the UTAUT model. Research design, data and methodology: The object of this study were respondents of a google survey using convenient sample extraction method, chosen among consumers who gathered information, or purchased a product. A total of 217 of the 235 questionnaires Google survey answered were used in the final analysis, excluding insincere responses. Using PSS v.21 and AMOS v.21, frequency analysis, feasibility and reliability analysis, path analysis was performed. Results: UTAUT affects OTA use satisfaction and trust, and OTA satisfaction and trust affect behavior intention. Conclusions: Research was conducted using the UTAUT model to explore factors that affect the attitudes of users of online travel agencies (OTA).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.05a
• /
• pp.300-301
• /
• 2018

Recently, various payment services using mobile terminals are emerging and many users are using this service. This study is an empirical study on the effect of system factors(convenience, reachability, compatibility) of mobile simple payment service on trust, positive affect, mediated by customer perceived risk. A survey was conducted for this study, and a structural equation model was analyzed with PLS. Results showed that convenience, accessibility, and compatibility affect risk, and risk affects trust and positive affect.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.9
• /
• pp.4197-4219
• /
• 2017

Cloud computing is a new service to provide dynamic, scalable virtual resource services via the Internet. Cloud market is available to multiple cloud computing resource providers and users communicate with each other and participate in market transactions. However, since cloud computing is facing with more and more security issues, how to complete the allocation process effectively and securely become a problem urgently to be solved. In this paper, we firstly analyze the cloud resource allocation problem and propose a mathematic model based on combinatorial double auction. Secondly, we introduce a trust evaluation mechanism into our model and combine genetic algorithm with simulated annealing algorithm to increase the efficiency and security of cloud service. Finally, by doing the overall simulation, we prove that our model is highly effective in the allocation of cloud resources.

• Korean Journal of Health Education and Promotion
• /
• v.33 no.3
• /
• pp.83-93
• /
• 2016

Objectives: This study aimed (1) to share findings from the U.S. on customer use of social media for information seeking and sharing about food recall risks, and (2) to discuss the implications of the findings for the context of food safety and risk communication in Korea. Methods: A cross-sectional survey was conducted with 1,026 social media users aged 18 years or older in the U.S., recruited from the Knowledge Network's nationally representative panel. Results: About 26 percent of respondents used social media either to seek or share food recall information in the past year, with social networking sites being the most popular tool. With respect to social media use for information seeking, being married, perceived risk of getting foodborne diseases, and trust in Internet were significant, positive predictors; being Whites and trust in health professionals were negative predictors. Social media use for information sharing was positively associated with education, being married, foodborne disease history, and perceived risk of foodborne diseases; Whites, income, and trust in health professionals were negative predictors. Conclusions: The study gives theoretical, methodological, and practical implications for the context of food safety and risks in Korea.

• Journal of Information Technology Services
• /
• v.20 no.5
• /
• pp.189-207
• /
• 2021

Voice interaction combined with artificial intelligence is poised to revolutionize human-computer interactions with the advent of virtual assistants. This paper is analyzing interactive elements of AI-based voice recognition services such as sympathy, assurance, intimacy, and trust on intention to use. The questionnaire was carried out for 284 smartphone/smart TV users in Korea. The collected data was analyzed by structural equation model analysis and bootstrapping. The key results are as follows. First, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy, and trust have positive effects on interactivity with the AI-based voice recognition service. Second, the interactivity with the AI-based voice recognition service has positive effects on intention to use. Third, AI-based voice recognition service characteristics such as interactional enjoyment and intimacy have directly positive effects on intention to use. Fourth, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy and trust have indirectly positive effects on intention to use the AI-based voice recognition service by mediating the effect of the interactivity with the AI-based voice recognition service. It is meaningful to investigate factors affecting the interactivity and intention to use voice recognition assistants. It has practical and academic implications.

• Journal of Information Technology Applications and Management
• /
• v.29 no.3
• /
• pp.57-74
• /
• 2022

Recently, big data services have been used in various fields. In this situation, this research studied the intention to provide personal information from users, which is necessary to provide useful big data services. A survey was conducted on college students and ordinary people who have understood big data services. And path analysis was performed through Amos' structural equation. As a result of the study, it was found that privacy risks, trust in service providers, individual innovativeness, service incentives, social influence, and service design are major variables influencing the intention to provide personal information. And it was found that trust in service providers plays a mediating role in influencing the intention to provide personal information. In addition, big data services were classified into types for information acquisition and types related to purchase. Accordingly, it was further analyzed whether major variables differ in the path affecting the intention to provide personal information, and new implications were found. Companies that actually develop and provide big data services should establish different strategies by reflecting research results depending on the type of big data service provided.

• Journal of Information Technology Applications and Management
• /
• v.31 no.3
• /
• pp.71-92
• /
• 2024

This study investigates the contribution of customer knowledge to customer intention to adopt mobile banking by evaluating the interaction among knowledge, perceived risk and trust, and behavioral intentions. Analysis is conducted through structural equation modelling using SPSS and AMOS and data from 783 customers representing the seven largest banks in Vietnam. Our study is the first one to find the existence of the bidirectional perspective between objective and subjective knowledge. The study further shows that the attenuation effect in the heuristic-systematic model could be used to explain the stronger influence of objective knowledge on intention compered to subjective knowledge. Our findings suggest that customer knowledge, perceived risk and trust impact the intention of mobile banking users in different manners and to different degrees. Particularly, objective customer knowledge is the most influential predictor of mobile banking adoption. Having a greater understanding of these relationships can help firms in deciding the kind of intervention that is most likely to convince customers to adopt a service.

• Fashion & Textile Research Journal
• /
• v.26 no.2
• /
• pp.166-178
• /
• 2024

Second-hand trading platforms have emerged as a major transaction method among people, and are particularly quite popular with the MZ Generation (Millennial + Generation Z). These generations are more open to transactions through such platforms. Understanding and analyzing these platforms from the perspective of their primary users can help businesses establish effective marketing strategies and attract new customers. This study examines the effect of second-hand trading platforms on usage intention by dividing the benefits into functional, economic, environmental, social, and hedonic categories for MZ generation consumers who have traded fashion products on such platforms. In addition, it explores how differences in fashion leadership affect the relationship between platform benefits, trust, and attitude. A total of 400 participants were analyzed using IBM SPSS Statistics 26.0 and IBM AMOS 24.0. The results indicate that the benefits of second-hand trading platforms have a significant impact on trust in and attitude toward these platforms. Furthermore, the effect of platform benefits on consumer responses varied based on the extent of fashion leadership. This study provides practical insights for developing marketing strategies for second-hand transaction platforms and underscores the academic significance of studying consumer behavior in a second-hand fashion markets.

• Journal of Information Technology Services
• /
• v.14 no.4
• /
• pp.171-184
• /
• 2015

Nowadays, mobile commerce is having an increasingly profound impact on our daily lives, and offer interesting and advantageous new services. Mobile payment is an emerging and important application of mobile commerce in smart work, enabling users to use their mobile devices (especially mobile phones) for paying goods and services wherever they go. The appearance of m-payment is expected to provide us a convenient and bright future to enjoy. That is the common trend on over the world, but in Vietnam, although the number of smart phone users has been increasing rapidly, the adoption of m-payment system still didn't succeed completely. The research reviewed literature regarding mobile payment services, analyzed the impact of customer characteristics and system characteristics on m-payment adoption in Vietnam. To analyze the adoption behaviors of m-payment users, m-payment research model which consists of three customer-characteristics (m-payment trust, personal innovativeness, m-payment knowledge) and four m-payment system characteristics (mobility, reachability, convenience, compatibility) were studied. The results indicate that perceived usefulness, trust, and compatibility are the important predictors to the intention to use m-payment. This study will assist m-payment services suppliers in implementing appropriate business models and service strategies to successfully attract customer to use m-payment in Vietnam, allowing managers to exert appropriate investment, time, and effort for m-payment system development in designing smart working.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.4
• /
• pp.35-49
• /
• 2022

Purpose - According to the recently changing consumer smart environment and consumer decision-making process, this study investigates the structural relationship between electronic(online) WOM information characteristics and brand community experience value types on specific brand reliability and brand transformation. In particular, the characteristics of word of mouth information and the experience value of brand community users were divided into detailed fac tors and approached. Methodology - In order to proceed with this study, we review previous studies and setting hypotheses. The hypothesis was verified through a survey that was conducted for the consumers with online consumption activities in less than six months. With reference to previous studies, operational definition was made for the questionnaire design. In order to verify the hypothesis, 282 people were statistically analyzed through the survey This data were used for AMOS for confirm hypothesis established. Results - eWOM information characteristics were classified into usefulness, timeliness and un-bias, and online community experience values were classified into interaction, playfulness, and virtuality. In addition, it is to investigate the relationship between the brand reliability and user's experience value in brad community. The main results are as follows. The first result was that usefulness and un-bias, which are the eWOM information characteristics had a positive effect on forming brand reliability. However, the factor of timeliness did not affect brand reliability. Second, in terms of user experience value and brand reliability in the brand community. It was fo und that experience values such as interaction, playfulness, and vituality all had a positive influence on brand reliability. Third, it was found that brand reliability has a positive influence on the on-line conversion activity of users. Conclusions - Through this study, the field of online consumer behavior research is expanding, and this study suggested that careful management is necessary according to the type or characteristics of eWOM information. Additionally, it presents the importance of the user's empirical value in the brand community influencing brand attitude and reliability. In practice, the implementation of the marketing communication mix in digital marketing has recently been underway to enhance the conversion behavior of users. At this level, it also reveals the preceding factors that increase user conversion behavior.