• The Journal of Society for e-Business Studies
• /
• v.19 no.2
• /
• pp.125-142
• /
• 2014

Previous research about SNS users' intention was mainly focused on revisit intention, while this study reaches a research conclusion by considering both revisit and switching intention. According to the research result, (1) social interaction and SNS addiction influence other precedential factors; (2) enjoyment and usefulness increase SNS users' revisit intention; (3) SNS users would not consider switching to another SNS even they have negative opinions about their current SNS. This research result implies that, for SNS enterprises to dominate market, it is required to provide services so that SNS users can actively participate on social interaction activities, and a strategy is necessary to attract and turn SNS users with negative opinions into active participants.

• Journal of Korean Library and Information Science Society
• /
• v.43 no.2
• /
• pp.179-201
• /
• 2012

Currently, most academic libraries provide OPAC 2.0 service which applies Web 2.0 based-internet search engine to OPAC. The new service is for the users' convenience and so the considerations for the users' opinions are of great importance for each of services. The objectives of the study were to investigate perceptions of the students as the main user for academic library on the importance for the main services of OPAC 2.0 and analyzed information sources and the reasons for book search by the virtue of this service. The study showed that there were the users' high expectations on accuracy and satisfaction for OPAC 2.0, and the main searching information source was the OPAC of the universities to which the users belong due to familiar screen as well as convenient reading and book loan through it. The OPAC 2.0 service needs to be improved with the consideration of the users' opinions.

• International Journal of Computer Science & Network Security
• /
• v.22 no.2
• /
• pp.250-260
• /
• 2022

Mobile Banking Applications (MBAPs) is one of the recent fads in mobile trading applications (Apps). MBAPs permit users to execute exchanges of money and many more whenever it might suit them; however, the primary issue for mobile banking Apps is usability. Hardly any investigation analyzes usability issues dependent on user's age, gender, exchanging accomplices, or experience. The purpose of this study is to determine the degree of usability issues, and experience of mobile banking users. The survey employs a quantitative method and performs user experiment on 240 participants with six different tasks on the application's interface. The post experiment survey is done with concerning participants. On the other hand, banking experts and Information Technology (IT) expert's group is also involved after the experiment. Expert's opinions about existing mobile banking Apps and suggestions for improving usability of MBAPs are collected through physical means (like questionnaire and interview) and online means like Google form. After that comparison of the opinions of users and experts about MBAPs is performed. The experimentation measures the tasks usability of various mobile banking apps with respect to its effectiveness, efficiency, trustfulness, learnability, memorability and satisfaction. The usability testing was led at different Universities and the outcomes acquired show that there are privacy and trust issues with their mobile banking apps. There is also a gap between users and experts which should be minimized by applying customized usability models, modes concept like other application software and also by adding complete features of banking in MBAPs. It will benefit mobile banking apps users, developers and usability engineers by providing user-friendly which are up to the mark of user's requirements.

• Journal of information and communication convergence engineering
• /
• v.10 no.2
• /
• pp.135-140
• /
• 2012

Massive numbers of users of social networks share various types of information such as opinions, news, and ideas in real time. As a new form of social network, Twitter is a particularly useful information source. Studying influence can help us better understand the role of social networks. The popularity of social networks like Twitter is primarily measured by the number of followers. The number of followers in Twitter and the number of users exposed to news media are important factors in measuring influence. We chose Twitter and the New York Times as representative media to analyze the influence and present an empirical analysis of these datasets. When the correlation between the number of followers in Twitter and the number of users exposed to the New York Times is computed, the result is moderately high. The correlation between the number of users exposed to the New York Times and the number of sections including the users on it, was found to be very high. We measure the normalized influence score using our proposed expression based on the two correlation coefficients.

• Journal of Environmental Impact Assessment
• /
• v.16 no.5
• /
• pp.363-372
• /
• 2007

This study is to survey facilities installed at urban parks and identify park facilities desired by users through a questionnaire survey of users who actually use the parks. Then, the outcome will be compared and evaluated to install urban park facilities that reflect the desires of users in the future. Findings showed that park facilities currently installed are mostly those easy to install and manage among facilities suggested in relevant laws. Regardless of park types and sizes, similar facilities were installed across parks. A questionnaire survey of users showed that they wanted facilities to rest, sports facilities, waterscape facilities and facilities to accompany families. The result also showed that they wanted green area-style parks that have a lot of trees. Therefore, going forward, facilities reflecting such desires of users should be installed at parks as much as possible. When developing a park creation plan for each city, it would be critical to survey the opinions of residents in relevant areas in advance and reflect it to the creation plan.

• Journal of Information Technology Applications and Management
• /
• v.20 no.2
• /
• pp.211-230
• /
• 2013

This paper presents how users and operators of smart work centers think about benefits from and obstacles to smart work centers. First, this paper reviewed the previous literature to summarize benefits and obstacles. Then, in-depth interviews with users and operators were conducted to identify the current issues in smart work centers. Finally, a survey method was used to collect opinions of more users and managers and the co-orientation model was employed to analyze diverse patterns. This study found that users and operators mostly agree with the benefits from the smart work centers. However, they expressed various forms of disagreement over obstacles and ways to overcome the obstacles.

• Journal of Information Technology Services
• /
• v.14 no.3
• /
• pp.33-48
• /
• 2015

Recently, many users frequently share their opinions on diverse issues using various social media. Therefore, many governments have attempted to establish or improve national policies according to the public opinions captured from the various social media. In this paper, we indicate several limitations of traditional approaches for analyzing public opinions about science and technology and provide an alternative methodology to overcome the limitations. First of all, we distinguish science and technology analysis phase and social issue analysis phase to reflect the fact that public opinion can be formed only when a certain science and technology is applied to a specific social issue. Next, we apply a start list and a stop list successively to acquire clarified and interesting results. Finally, to identify most appropriate documents fitting to a given subject, we develop a new concept of logical filter that consists of not only mere keywords but also a logical relationship among keywords. This study then analyzes the possibilities for the practical use of the proposed methodology thorough its application to discovering core issues and public opinions from 1,700,886 documents comprising SNS, blog, news, and discussion.

• The Korean Journal of Applied Statistics
• /
• v.34 no.1
• /
• pp.57-74
• /
• 2021

The proliferation of smart devices (such as smart phones and tablet PCs) has led to a marked increase in the use of mobile-based internet. As a result, the influence of the mobile internet has become important to make opinions on social issues. This study explores the effects of mobile internet news users' characteristics on formation of opinions about major political, economic and social issues. We used the data from the media audience awareness survey by the Korean Press Foundation in 2016 and 2017 in this analysis. The characteristics of the news users are gender, age, education, income, news usage days, news usage hours, media application usage days, news gathering application usage days, portal usage days, and media official website usage days. These characteristics are known as possible explanatory variables for the mobile internet news users. Multiple logistic regressions were done with interpretation to know which covariates affect on formation of major opinion.

• Journal of Multimedia Information System
• /
• v.9 no.3
• /
• pp.201-208
• /
• 2022

Customized service is a vital and mandatory element for apps in improving their technical performance and app customer analysis. While apps require users' consent for their data extraction and usage, many of the terms and agreement forms are written intricately, making it harder for users to fully understand the whole concept of users' data collection for customized services. Ever since the Facebook-Cambridge Analytica scandal, personal data privacy has been re-examined, forcing many app companies to reinforce a reliable solution to data privacy issues. However, there has not been a secured solution, which worries many people about the future advanced issues when metaverse platforms are actively used in daily apps. The research aims to collect the reactions and behaviors of everyday app users who utilize apps with customized services to understand the nature of privacy data issues and the users' opinions about the future implementation of metaverse platforms. The method of the research was an online questionnaire that targeted university students. The study revealed many fearful and anxious reactions about personal data and further metaverse issues where most app users were uneducated about how current apps collect and utilize users' private data.

• Journal of the Korean Data and Information Science Society
• /
• v.18 no.3
• /
• pp.659-668
• /
• 2007

Collaborative filtering approach for recommender systems are now widely applied in e-commerce to assist customers to find their needs from many that are frequently available. this approach makes recommendations for users based on the opinions to similar users in the system. But this approach is opened to users who present their preference to items or acquire the preference information form other users, noise in the system makes significant problem for accurate recommendation. In this paper, we analyze the relationship between the standard deviation of preference ratings for each user and the estimated ratings of them. The result shows that the possibility of the pre-filtering condition which detecting the factor of bad effect on the prediction of user's preference. It is expected that using this result will reduce the possibility of bad effect on recommender systems.