• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.29
• /
• pp.89-119
• /
• 2006

The almost studies that is related to an e-Trade and an e-Marketplace only have been focused on the diffusion and acceptance since the innovation was adopted in markets. The existing studies failed to notice the resistance of innovation in the course of accepting innovation. The resistance of innovation, however, is not the contrary concept of acceptance, it is should be understood as a construct which can explain the course of the diffusion and acceptance. This study will be analysed as follows: First, nevertheless the resistance of users is important, it couldn't be presented systematically through acceptance of innovation, accordingly the concept of resistance of innovation will derive concept from review of literature researched on prior researches. Second, the factors which can be affected to the resistance of innovation of the main trade firms which use the e-Marketplace will draw. Third, we identify some of determinants that can affect to resistance of user by empirical study, also we investigate how participation can be affected by using a contingency variable. The independent variables used through researched review are the characteristic factors of trade e-Marketplace which was consisted of relative advantage, suitability and complexity, the characteristic factors of trade firms which was consisted of propensity of innovation and attitude, and the characteristic of service quality which was consisted of reliability and reaction. This research also examines the association between independent variables and the resistance of user(dependent variable) by using a variable on participation of user(moderator variable). The sample surveys for this study have been used 109, this study was analysed by the SPSS 12.0 of statistical tool. According to the proved hypothesis there are three important factors which affected the resistance of user. One factor was the relative advantage and complexity from the point of view on the trade firms characteristics of e-marketplace, another factor was the propensity of innovation from the point of view on the trade firms factors, the third factor was the reliance from the point of view on the service quality factors. The results also provided that relative advantage and suitability among the characteristics of e-Marketplace and the reliability among the service quality characteristics have moderated in the moderated regression which was tested the association independent variables and dependent variables while participation of user was using for contingency variable.

• Journal of the Korea Convergence Society
• /
• v.10 no.3
• /
• pp.167-176
• /
• 2019

The conversational agent, which is at the forefront of the 4th industry, aims to personalize the user-centered focus in the future and holds an important position to have a hub that can be connected to various IoT devices. It is a challenge for interactive agents to recognize the user's emotions and provide the correct interaction to personalization. The study first I looked at emotional definitions and scientific and engineering approaches. Then I recognized through social perspectives what social function and what factors emotions have and how they can be used to understand emotions. Based on this, I explored how users can be discovered emotional social factors in communication. This research has shown that social factors can be found in the user's speech, which can be linked to the social meaning of emotions. Finally, I propose a model to discover social factors in user communication. I hope that this will help designer and researcher to study user-centered design and interaction in designing interactive agents.

• Science of Emotion and Sensibility
• /
• v.11 no.1
• /
• pp.39-56
• /
• 2008

Previous studies of music, user interface, and human-computer interaction have used sounds which include musical structure rather than real music. This study investigated whether real music affects objective and perceived usability. Silence, sound, and music conditions were compared in experiment 1 (kimchi refrigerator) and 2 (remote controller for air conditioner). Participants' performances of reaction time and accuracy, and the degree of subjective satisfaction were analyzed. The results showed that main effects on task performances were not different significantly; however, perceived usability of music condition was better than sound condition, which was better than silence condition. It means that musical user interface improves perceived usability while not interfering task performance. This study provides a basis of emotional and aesthetic effects of music in home appliances design, and can be applied to studies for the blind. More specific guideline for the musical user interface can be drafted if further studies consider more various tasks, context, musical structure and types for the appliances.

• The Journal of Information Systems
• /
• v.11 no.2
• /
• pp.1-25
• /
• 2002

This study is for the purpose of understanding User Satisfaction of Accounting Information System more closely by means of perceiving relations between Internal Controls and Quality. That is, this study is to assess Internal Controls and Quality and to connect those with User Satisfaction. This thesis is for the substantial study on whether Information Quality, System Quality, and Service Quality influenced by Internal Controls of Accounting Information System have an effect on User Satisfaction, when Internal Controls of Accounting Information System is good, The following hypothesis was made to achieve this purpose. First, Internal Controls will have an positive influence on Quality. Second, Qualify will positively affect User Satisfaction. Third, Internal Controls will positively Influence User Satisfaction. Fourth, Internal Controls will have a positive effect on User Satisfaction through Quality For the survey sample, this study gathered data on someone engaged in companies or organizations which have computer offices, and groups were differentiated between general staff and someone in charge of the computer office, and each group had different questions. In general, 622 of questions were distributed and 200 of the final valid samples were used for the substantial analysis. As the result of the study, the relations between Internal Controls and Quality are statistically significant. The relations between Quality and User Satisfaction ire also statistically significant. But the relations between Internal Controls and User Satisfaction are not statistically significant. Path Analysis was implemented to analyze the hypothesis on whether Internal Controls have an influence on User Satisfaction through Quality. When the result of analysis with Lisrel 8.5 was examined, index numbers(GFI, AGFI, RMR) representing the suitability of the model were enough to be taken and it is showed that there is the suitability of the model. Internal Controls of Accounting Information System can't have an influence on User Satisfaction with Quality. As the above hypothesis was rejected, Through Path Analysis, this study examined the influence which relations between Internal Controls and Quality, factors of User Satisfaction, have on User Satisfaction, and is very meaningful in terms of the first trial. And on the point of time when there are little studies on the effect analyses between Internal Controls and Quality, this study would be the promoter for the future. The limitation on this study is to analyze only mutual effects between factors by choosing Internal Controls, Quality, and User Satisfaction as survey variables. The study which measure items with precision which are related to each variable and understand measurement factors clearly should be implemented.

• Information Systems Review
• /
• v.23 no.3
• /
• pp.51-75
• /
• 2021

Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.

• Journal of Korea Multimedia Society
• /
• v.21 no.2
• /
• pp.158-165
• /
• 2018

Since a large amount of multimedia image has dramatically increased, it is important to search semantically relevant image. Thus, several semantic image annotation methods using RDF(Resource Description Framework) model in mobile environment are introduced. Earlier studies on annotating image semantically focused on both the image tag and the context-aware information such as temporal and spatial data. However, in order to fully express their semantics of image, we need more annotations which are described in RDF model. In this paper, we propose an annotation method inferencing with RDFS entailment rules and user defined rules. Our approach implemented in Moment system shows that it can more fully represent the semantics of image with more annotation triples.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.8
• /
• pp.45-50
• /
• 2018

Many of the current successful commercial recommender systems utilize collaborative filtering techniques. This technique recommends products to the active user based on product preference history of the neighbor users. Those users with similar preferences to the active user are typically named his/her neighbors. Hence, finding neighbors is critical to performance of the system. Although much effort for developing similarity measures has been devoted in the literature, there leaves a lot to be improved, especially in the aspect of handling subjectivity or vagueness in user preference ratings. This paper addresses this problem and presents a novel similarity measure using fuzzy logic for selecting neighbors. Experimental studies are conducted to reveal that the proposed measure achieved significant performance improvement.

• Agribusiness and Information Management
• /
• v.5 no.1
• /
• pp.42-54
• /
• 2013

Information System (IS) Success Model proposed by DeLone and McLean is applied as a successful operation tool of information system, with its basic assumption of symmetric relationship between independent variables and dependent variables of the structural equation modeling. However, because previous studies have proved asymmetry of quality factors' influence structure on dependent variable by applying three-factor analysis, this study examined asymmetry of impact structure of quality factors introduced in IS Success Model on user satisfaction. Also the study applies structure equation modeling (SEM), three-factor analysis and importance and performance analysis (IPA) to develop resource allocation strategy for IS success. The study is able to provide IS practitioners with strategic implications for allocating and managing limited resources more effectively.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2005.06a
• /
• pp.173-176
• /
• 2005

In this paper, a study on Web-based application using commercial CAE program, ANSYS is performed. Customized analysis, site or user oriented specific analysis, is suitable to user and user's demand who has little experience in structural analysis for specific CAE analysis. Customized analysis methodology using ANSYS Workbench SDK is presented through the web-based application. Case Studies of mobile phone about the implementation of web-based application are also presented as an example.

• Knowledge Management Research
• /
• v.17 no.4
• /
• pp.129-145
• /
• 2016

Nowadays, owing to the diffusion of smartphones and the growth of social networking services (SNS), the number of people who share their life with other SNS users by posting photos is increasing. The number of Instagram users has been particularly increasing since Instagram started its service in 2010. Compared to other SNS such as Facebook and Twitter, Instagram runs its service by focusing solely on photos, which is a major differentiation factor compared with other existing SNS. Previous studies, however, do not examine SNS that focus on photo sharing adequately. Therefore, we establish a hypothesis relating to the motivations behind a user's photo sharing attitude and posting intention through Instagram. Moreover, this will be achieved by employing TRA(Theory of Reasoned Action) and focusing on intrinsic and extrinsic motivations. The analysis results show that intrinsic motivation influences a user's sharing attitude and subjective norms. Apart from this, Instagram's expressivity influences a user's photo sharing attitude and posting intention.