• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.1
• /
• pp.302-322
• /
• 2021

In the system of ciphertext policy attribute-based encryption (CP-ABE), only when the attributes of data user meets the access structure established by the encrypter, the data user can perform decryption operation. So CP-ABE has been widely used in personal health record system (PHR). However, the problem of key abuse consists in the CP-ABE system. The semi-trusted authority or the authorized user to access the system may disclose the key because of personal interests, resulting in illegal users accessing the system. Consequently, aiming at two kinds of existing key abuse problems: (1) semi-trusted authority redistributes keys to unauthorized users, (2) authorized users disclose keys to unauthorized users, we put forward a CP-ABE scheme that has authority accountability, user traceability and supports arbitrary monotonous access structures. Specifically, we employ an auditor to make a fair ruling on the malicious behavior of users. Besides, to solve the problem of user leaving from the system, we use an indirect revocation method based on trust tree to implement user revocation. Compared with other existing schemes, we found that our solution achieved user revocation at an acceptable time cost. In addition, our scheme is proved to be fully secure in the standard model.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.1
• /
• pp.57-76
• /
• 2023

This study analyzes the factors and effects on the users' intention to switch from contact center-oriented to AI chatbot-oriented customer services by combining Push-Pull-Mooring Model and provides insights for companies considering the adoption of AI chatbots. To test the model, we surveyed users with experience using chatbots at least once across different age groups. Finally, we analyzed 176 cases for the analysis using IBM SPSS Statistics and SmartPLS 4.0. The results of hypotheses testing rejected the hypotheses for variables of inconsistent quality and low availability of push factors and low switching cost of mooring factor while accepting the hypotheses for the tardy response of push factors and all pull factors. Therefore, these findings provide important implications for researchers and practitioners who wish to conduct research or adopt AI chatbots. In conclusion, users do not feel inconvenienced by the contact center-oriented service but also perceive high trust and convenience with AI chatbot-oriented service. However, despite low switching costs, users consider chatbots a complementary tool rather than an alternative. So, companies adopting AI chatbots should consider what features the users expect from AI chatbots and facilitate these features when implementing AI chatbots.

• Journal of Information Technology Services
• /
• v.17 no.3
• /
• pp.157-169
• /
• 2018

This study aims to examine the factors influencing user attitude toward Smart Home service as the demand of Smart Home service is increasing and it somewhat involves privacy risk. To this end, the research model includes five independent variables, trust in service provider, perceived privacy risk, self efficacy, interpersonal influence, and external influence, influencing the attitude toward Smart Home service. So, this study aims to analyze which variable is the most critical and influential among the five factors and suggest the direction of Smart Home industries. This study first reviews the literature on Smart Home services and describes its Korean situation. Data were collected from residents living in a smart apartment complex. The results show that (1) users have a very positive attitude toward Smart Home service in total, (2) trust in service providers, self efficacy, and interpersonal influence positively impact user attitude toward Smart Home service and interpersonal influence is the most influential variable, however, (3) perceived privacy risk and external influence dose not significantly impact it. These results imply that the role of service providers, self efficacy, and interpersonal influence are important factors on the user attitude toward Smart Home service. Finally, the study's findings and limitations are discussed and potential avenues for future research are suggested.

• The Journal of Information Systems
• /
• v.19 no.4
• /
• pp.137-165
• /
• 2010

The government and enterprises have interest in the green IT products, therefore this study focus on the green IT products. First, we study the effects on the purchase intention of the green IT products by perceived value, perceived quality, and perceived trust. Second, we consider the environmental characteristics such as environmental concern, green recognition, and environmental knowledge. Third, we study the moderating effects of environmental characteristics. The proposed model was empirically tested using data collected from users having the purchase intention of the Green IT products. The major results of this study are as follows. First, perceived value and perceived trust had a positive effect on purchase intention of the green IT products. Second, environmental concern, green recognition, and environmental knowledge had moderating effects between perceived value and purchase intention of the green IT products. Third, environmental concern and green recognition had moderating effects between perceived trust and purchase intention of the green IT products. This study can provide many implications for government and businesses considering green IT products.

• The Journal of the Korea Contents Association
• /
• v.16 no.10
• /
• pp.403-410
• /
• 2016

Dut to the development of information technology, various serious games have been provided. In recent years, educational serious game that provides education services haven't been widely used. Especially, using serious game without trust is one of the main hinderance in the expansion of educational serious games. Therefore, the purpose of this research is to investigate the impact of trustworthiness, which is antecedent variable for trust, on commitment and continuance intention. To achieve the research purpose, this study conduct the survey. The results showed that the trustworthiness significantly influence on commitment and continuance intention.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2008.10a
• /
• pp.410-414
• /
• 2008

Providing recommendations is acknowledged as one of important features of a business-to-consumer online storefront. Though there have been many studies on algorithms and operational procedures of personalized recommender systems, there is still a lack of empirical evidence demonstrating relationships between social presence and two important outcome variables of recommender systems: reuse intention and trust. To test the existence of a causal link between social presence and reuse intention, and mediating role of trust between these two variables, this study performed experiments varying level of social presence while providing personalized recommendations to users based on their explicit preferences. This study also compared these effects in two different product contexts: hedonic and utilitarian product. The results show that the provision of higher social presence increases both the reuse intention and trust of the recommender systems. In addition, the influence of social presence on reuse intention in the setting of recommending utilitarian products is less than that in the setting of recommending hedonic products.

• 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.