• The Journal of Information Systems
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• v.28 no.4
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• pp.293-311
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• 2019

Purpose This paper is to make a meta-analysis of the relationship between the social media use and learning performance as well as its potential moderating variables to clarify the differences in research conclusions in existing literatures, and refine the situational and method factors that affect the relationship between them. Methodology Meta-analysis used in this study can combine the quantitative data from different empirical studies, focus on the same research problem, and finally reach a research conclusion. Findings The results show that social media use and learning performance have a moderating positive correlation. The moderating effect test of usage scenarios shows that social media types, usage groups, application platforms and discipline fields have moderating effects on the relationship between social media use and learning performance. The moderating effect test of the research method found that measurement models, data attributes and learning performance indicators also had moderating effects on the relationship between social media use and learning performance.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.1
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• pp.281-290
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• 2017

This study aims to determine how demographic characteristics and SNS use traits of audiences are different depending on preferred performance types such as pop music concert, musical; play, dancing and ballet. SNS use traits are as follows: duration of SNS use, average number of access to SNS account, average time of SNS use, SNS activity type, motivation for SNS use, preferable type of SNS, annual total number of performance watched, and method to gain performance information. Also, the study was conducted to get significant insights in designing marketing strategy using social network services. The results are as follows. First, the result of examining audience's demographic factors depending on preferred performance type showed meaningful differences in sex, age, marital status, form of family, academic level, job and monthly income of the audiences. Second, SNS use traits of the audiences according to preferred performance genres vary in duration of SNS use, average number of access to SNS account, average time of SNS use, SNS activity type, motivation for SNS use, method to gain performance information. These findings showed that demographic characteristics and SNS use traits needed to be classified more specifically based on genres. Additionally, marketing strategy using performance information, traits of contents and customers' patterns through SNS should be specifically developed based on specified target.

• Asia pacific journal of information systems
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• v.28 no.3
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• pp.167-182
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• 2018

The purpose of this study is to investigate the relationship between knowledge sharing and academic performance in the context of quality-assurance related work. It furthermore aims to explore the role of information technology in mediating this relationship. Quantitative method was applied to collect data from the participants using an online-based questionnaire. Convenience sampling technique was used. The responses were collected from 140 participants in a university from Saudi Arabia. The study found a strong positive relationship between knowledge sharing and individual performance. It was also found out that information technology partially mediates the relationship between knowledge sharing and individual performance. The research unearths the significant contribution made by information technology in mediating the relationship between individual-level knowledge sharing and the individual performance. This helps to understand the positive impacts on individual work performance in institutions of higher education that would be derived if individuals use various forms of IT to share knowledge. The focus of the research is the individual performance as the pertinent contribution towards positive outcomes in institutional performance.

• Journal of Information Science Theory and Practice
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• v.2 no.3
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• pp.29-39
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• 2014

In recent years, several studies have proposed making use of the Twitter micro-blogging service to track various trends in online media and discussion. In this study, we specifically examine the use of Twitter to track discussions of food safety in the Korean language. Given the irregularity of keyword use in most tweets, we focus on optimistic machine-learning and feature set selection to classify collected tweets. We build the classifier model using Naive Bayes & Naive Bayes Multinomial, Support Vector Machine, and Decision Tree Algorithms, all of which show good performance. To select an optimum feature set, we construct a basic feature set as a standard for performance comparison, so that further test feature sets can be evaluated. Experiments show that precision and F-measure performance are best when using a Naive Bayes Multinomial classifier model with a test feature set defined by extracting Substantive, Predicate, Modifier, and Interjection parts of speech.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.2115-2130
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• 2022

With the development of over-the-top (OTT) services, the demand for content is increasing, and you can easily and conveniently acquire various content in the online environment. As a result, copyrighted content can be easily copied and distributed, resulting in serious copyright infringement. Some special forms of online service providers (OSP) use filtering-based technologies to protect copyrights, but illegal uploaders use methods that bypass traditional filters. Uploading with a title that bypasses the filter cannot use a similar search method to detect illegal content. In this paper, we propose a technique for profiling the Heavy Uploader by normalizing the bypassed content title and efficiently detecting illegal content. First, the word is extracted from the normalized title and converted into a bit-array to detect illegal works. This Bloom Filter method has a characteristic that there are false positives but no false negatives. The false positive rate has a trade-off relationship with processing performance. As the false positive rate increases, the processing performance increases, and when the false positive rate decreases, the processing performance increases. We increased the detection rate by directly comparing the word to the result of increasing the false positive rate of the Bloom Filter. The processing time was also as fast as when the false positive rate was increased. Afterwards, we create a function that includes information about overall piracy and identify clustering-based heavy uploaders. Analyze the behavior of heavy uploaders to find the first uploader and detect the source site.

• Management & Information Systems Review
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• v.25
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• pp.275-296
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• 2008

We tested the relationship of elements in influence about software performance. our research is detect the significant element in the software system. we affronted to find relation elements with software quality and seek what relationship is the most important in performance activity. this study's result will be useful for them ; first, give to product a high quality guide line to software developer. second, it will be use for basic information about in software examine research.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.177-186
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• 2012

Social Network Service is a web-based service that allows the people to construct relationship among users with same interest and supports various activities such as managing personal relations and sharing information or contents. The objective of this study is analysing the influence of the innovativeness on the use intention in SNS based on the UTAUT model. This study establishes a theoretical model that includes four independent variables(performance expectancy, effort expendancy, social influence, innovativeness) and two moderating variables(gender and innovativeness). The empirical results obtained in a sample of 403 university students are followings; 1) The use intention is positively influenced by the performance expectancy, effort expendancy, social influence and innovativeness. The effort expectancy is the strongest predictor of the use intention 2) The gender has a moderating effect whileas the innovativeness has no moderating effect. For men, the stronger the effect of performance expectancy on the use intention and for women, the stronger the effect of social influence on the use intention.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.4038-4056
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• 2018

Recently, the most frequently studied topics related to the fourth industrial revolution (FIR) are Big data, AI, Cloud Computing and Internet of Things- these four components are collectively known as the main components of the FIR (henceforth MCs). The MCs have a wide range of effects on workers' performance. As such it is imperative that these components are properly understood. This understanding will lead to a proper recognition of the attitudes that workers need to adopt to the MCs. Specifically, the attitudes of workers to several variables need to be examined, including importance, intention to use, belief in improvement, efficacy to use, and negative cognition. Each of these variables plays a role in determining how worker's performance in the FIR era will change. The performance-related variables such as self-efficacy, expectations, and acceptance of change are also crucial. These variables are related to creation of new opportunities, and can greatly influence performance in the FIR era. This study explains how specific attitudes to MCs improve performance-related factors for FIR. The adoption of these attitudes will ultimately lead to more successful adaption to the FIR era.

• Asia pacific journal of information systems
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• v.18 no.4
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• pp.83-103
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• 2008

In the new web based learning environment which has recently emerged, a variety of new learning objectives and teaching methods suited to this learning environment have been adopted. Recently, web based project-based learning methods have received a great deal of attention from those wishing to improve learning performance. The objective of this study is to identify the impact of characteristics of communication media and instruction behavior on collaborative interaction and project performance through web based group projects. The characteristics of communication media were divided into richness, flexibility, and ease of use, and the characteristics of instruction behavior were divided into support and expression, which are independent variables. Collaborative interaction as a mediate variable, was divided into information sharing and negotiation. Project performance was the dependent variable. To verify the proposed research model empirically, an experiment was conducted in which learners participated in on-line and off-line courses with group projects. The group project was conducted virtual product development(VPD), and designed a web-site about the VPD. At the end of the project, a survey was conducted. Of the 270 students, 239 responded. The students were assigned to groups of 3 or 4 members, and represented different genders and levels of computer competence. The reliability, validity, and correlation of research variables were analyzed using SPSS 14.0, and the measurement model and the structural goodness-of-fit of the research model were verified through SEM analysis using Lisrel 8.54. We found important results as follows; First, richness and ease of use has positive impacts on each of sharing information and negotiation. This suggests that richness and ease of use are useful in sharing information which is related to the task and agreeing in opinions among group members. However, flexibility has not positive impacts on sharing information and negotiation. This implies that there is no great difference in performance of PC and information literacy of user. Second, support and expression of instructor have positive impacts on sharing information and negotiation. This indicates that instructors play an important role in encouraging learners to participate in the project and communicating with them, sharing information related to the project, making a resonable decision and finally leading them to improve a project performance. Third, collaborative interaction has a positive impact on project performance. This result shows that if the ability to share information and negotiate among students was improved then a project performance would be improved as well. Recently, in the state of revitalized web based learning, it is opportune that web-based group project is practically conducted, and the impact of characteristics of communication media and characteristics of instruction behavior on sharing information, negotiating among group members and improving a project performance is verified. On the basis of these results, we propose that forms of learning, such as web based project, could be one of solution which is to enforce interaction among learners, and ultimately improve learning performance. Moreover web-based group project is able to make up for a weakness which makes it difficult to make interpersonal relations or friendship among learners in computer mediated communication or web based learning.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.113-117
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• 2006

This study is to analyze the effect of compatibility of information characteristics and information technology structure on AIS performance. This used financial and non-financial factors as the characteristics of management accounting information and used information technology structure as centralization and decentralization classified by Ahtuv et.(1989) and Fiedler et.(1996). 425 sampling companies are selected randomly and 137 of them were used in this study. The results of this study are as follows. First, In compatibility analysis between the characteristics of management accounting information and information technology structure, in case of companies which have centralized data process system, AIS performance of companies which use financial information is higher than that of companies which use non-financial information. However, no meaningful results show statistically. in case of companies which have decentralized data process system, AIS performance of companies which use non-financial information is higher than that of companies which use financial information. Also the statistical results show the meaning at the p < 0.05.