• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1129-1136
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• 2020

This study investigates the factors influencing the usage of PSAU Mobile Application by the students at Prince Sattam bin Abdulaziz University (PSAU). This study used Technology Acceptance Model (TAM) as a framework to predict the factors influencing 67 students' usage of PSAU M-Application. The results of this study were consistent with the TAM framework in predicting the actual usage of the PSAU mobile application for academic activities. The results indicated a significantly positive association of the perceived ease-to-use with perceived usefulness, significantly positive associations of the perceived ease-to-use and the perceived usefulness with the attitude toward the usage of the PSAU's mobile application, a significantly positive association of the perceived usefulness with the behavioral intention toward the usage of the PSAU's mobile application, a significantly positive association of the students' attitude toward the usage of the PSAU's mobile application with the behavioral intention of using the application, and a significantly positive association of the behavioral intention with the actual usage of the PSAU's mobile application. The results of this study should be useful to educational policymakers at PSAU University and elsewhere, as there is an opportunity to enhance the existing technology or adopt new technologies for academic activities.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.2
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• pp.177-187
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• 2003

The purpose of this study was to investigate the effects of clothing involvement and internet usage on internet shopping attitude and internet purchase of clothing products. The subjects used for the study were 210 male and 338 female college students. The clothing involvement consisted of pleasure/interest, symbolism/expression, and perceived risk factors. The internet usage consisted of information and entertainment uses. The internet shopping attitude had convenience and security factors. The results showed that there were positive relationships between clothing involvement factors and internet shopping attitude factors. Regarding the relationship between internet usage and internet shopping attitude, there was a positive relationship between internet information use and internet attitude for convenience while there was a positive relationship between internet entertainment use and internet attitude for security. According to clothing involvement and internet usage, the respondents were segmented by four groups. The results showed that these segmented groups were different in regard to internet shopping attitude, internet purchase, and demographics. For example, symbolishm/internet information use group considered internet shopping more convenient and purchased clothing more frequently through internet than did other groups. The implications of the study were discussed.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.1-17
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• 2021

This paper elucidates the effect of characteristics of service quality on continuance usage intention of digital healthcare service using mediating factors of user expectation and user utility. First, we classified independent factors into three types such as service system characteristics, user characteristics, and healthcare service characteristics from the previous studies, and investigated the effect of three independent factors on continuance usage intention of digital healthcare service. Second, we analyzed the impact of two mediating factors, user expectation and user utility, on the continuance usage intention. We developed a research model that includes three types of independent factors, mediated factors of user expectation and user utility, and a dependent factor of continuance usage intention. We surveyed a total of 357 samples from digital healthcare service users and analyzed the research model. The research results significantly show that Characteristics of Users is essential factor impacting a dependent factor of Continuance Usage Intention. The results indicate the followings: (1) Characteristics of Users including the variables of Innovation impacts User Expectation, and User Expectation affects Users Utility, and Users Utility also affects Continuance Usage Intention. (2) Characteristics of Service Systems including the variables of Functionality, Compatibility, and Convenience and Characteristics of users of Innovation variable impact the mediating factor of User Expectation, and User Expectation also affects the factor of Continuance Usage Intention. (3) Characteristics of Healthcare Services including the variables of Reliability, Ease of Operation, Safety, and Accuracy impact User Utility, and User Utility also affects Continuance Usage Intention.

• Knowledge Management Research
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• v.12 no.5
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• pp.71-87
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• 2011

This study focuses on influencing factors of TAM on personality, subjective norm and then examines the relationship between influencing factors such as KMS usage and system performance. The survey was collected from KMS users by e-mail and on-line questionnaire. Finally, 206 questionnaires were chosen for the analysis of data. It was analyzed by SPSS and AMOS for the frequency analysis, reliability analysis, CFA(Confirmatory Factor Analysis) and SEM(Structural Equation Modeling). The results were as follows. First, subjective norm is found to be especially important to KMS usage. Second, Extraversion positively moderated the relationship between subjective norm and perceived usefulness. Third, KMS usage is significant to personal performance such as knowledge growth, decision making and the ability of problem solving. This study proposed that the usage of Knowledge Management System positively contributes to the improvement of personal performance.

• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.73-81
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• 2016

With the increasing popularity of social network services (SNSs), there have been many attempts to analyze the users of SNSs. By doing so, the characteristics and preferences of the users can be understood, which can help companies provide personalized information and services that they need or are relevant for them. This study aimed to analyze the usage behavior of Korean Twitter users from various perspectives to deepen the understanding of it. For this research goal, an online survey was conducted for the users of Twitter and the data about their actual usage were collected using the open API of Twitter. Factor analysis of the data revealed five factors that explain about 69.3% of the usage variables. It was also investigated how the factors are related to gender, age, and brand preferences. The results showed that the usage behavior of Twitter is largely affected by age (p<0.001), and also by gender through an interaction effect (p<0.05). Also, the factors showed significant statistical correlations with the brand preferences of the users.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.95-112
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• 2015

Spread of internet service had a huge effect on usage and spread of SNS world widely. Variety of the service has increased from human network managing to commerce, education, payment method and so on. Also, it is expanding its service territory to not only PC area but also that of mobile equipment with development of information technology. Spread of use on SNS provides existing corporations the expansion of service area. Late SNS starter companies are advancing in diverse way for attracting users by serving shopping, games and other services with association with SNS. Therefore, analysis on consumers' thought and pattern which analyze users' demand, service's function and contents and other factors in order to reflect on plans and operations of SNS is needed. On this perspective, this research is suggesting properties that are crucially related to sustained usage of SNS and study factors of SNS's characteristics that influence trust and satisfaction on SNS and continuous usage intent of SNS.

• The Journal of Information Systems
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• v.9 no.1
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• pp.45-59
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• 2000

This study empirically tests that user satisfactions are influenced by factors focusing on information systems. The findings are as follows； 1. User Participation on information systems influence significantly system reliability, system usage and work environment. 2. Only top management's support on information system influences significantly efficient system usage. 3. Ability of user computing on information system influences significantly system usage.

• The Journal of Information Systems
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• v.25 no.3
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• pp.61-90
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• 2016

Purpose Recently the usage of Mobile Instant Messenger(MIM) has been increased all over the world. With the development of Mobile Internet, a large amount of mobile application came into being, such as WeChat, the most popular MIM now in China. It has a huge number of registered users, but just only half of them are the "active users". This study intends to examine what factors affect MIM user's continuance intention and actual usage behavior. Design/Methodology/Approach Based on the framework of Perception/Emotion-Behavior and the extended ECM-ISC (Expectation Confirmation Model of IS Continuance), this research introduced some unique variables to a user satisfaction model focusing on perceived/emotional factors in WeChat. In this model, perceived/emotional factors have been divided into enabler factors and inhibitor factors to analyze the effect on continuance intention and actual usage behavior. Also, the moderate effect of the habits was discussed. An online questionnaire survey of 203 WeChat users was conducted and the empirical validation was employed to test the research model. Findings From the empirical results, perceived usefulness, expectation confirmation, and needs for affiliation significantly affected satisfaction. Also, satisfaction influenced continuance intention which led to actual usage behavior. We found that the habit moderates the relationship between satisfaction and continuance intention. The result of this study provides guidance to the developers and operators of WeChat on how to improve enhance users' satisfaction and loyalty.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.971-982
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• 2021

The purpose of this study was to investigate the relationship between information quality, Online Travel Agency (OTA) trust, and continuous usage intention provided by OTA through the application of the SOR(Stimulus-Organism-Response) model. To achieve the purpose of the study, 234 responses were used for analysis, and the hypotheses were tested through the SPSS v.21 program and AMOS v.21 programs. The research results can be classified into the following three categories. First, it was determined that accuracy, timeliness, and usefulness among the factors for information quality had a significant positive effect on OTA trust and continuous usage intention. Second, it was determined that OTA trust was found to have a significant positive effect on continuous usage intention. Third, it was determined that OTA trust had an indirect effect on the relationship between accuracy, timeliness, usefulness, and continuous usage intention among the factors for information quality. This study looked at the lower dimension of information quality, which was insufficient in the field of OTA. This study can be used as basic data to, in practice, build a user-centered informational provision environment by identifying the factors that promote the continuous usage intention of consumers, which is linked to the revenue of online travel agencies.

• The Journal of Information Systems
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• v.20 no.2
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• pp.109-134
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• 2011

The purpose of this paper is to present an overview of the characteristics of the e-sports business at a crucial point in the era of information and knowledge. That is, an investigation was conducted surrounding the key success factors of e-sports as a newly growing industry, and the relationship between the key success factors and the usage effect. In order to do this, the key success factors were extracted from interviews with e-sports experts in conjunction with a survey that was conducted to gather empirical data. The key points of the statistical analysis of the survey are as follows. First, the success factors of a policy do not have a significant effect on the usage. Second, some administrative success factors of the e-sports business include the distribution of e-sports in the form of franchise chain, the establishment of policies to prevent the excellent members of e-sports from seceding, making a good impression as a high-class sport, the frequent notice of the break-even point, and educating people on how to use the e-sports machine. Third, the development and distribution of excellent e-sports software was analyzed as a technical success factor of the e-sports business. Finally, there is no doubt that results of this study can be used to facilitate the growth of the e-sports business as a new industry related to the IT industry.