• 한국정보시스템학회지:정보시스템연구
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• 제20권4호
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• pp.103-117
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• 2011

The rapid pace of adoption of mobile handsets has created new mobile financial services. The success of mobile financial information systems will depend on consumer self-efficacy and a sound business model. Self-efficacy has been described as the belief that one is capable of performing in a certain manner to attain certain goals. This is directly related to consumer behavior, but it also affects consumer behaviors indirectly through its impact on goals. And self-efficacy influences the challenges that people take on as well as how high they set their goals. The objective of the study to investigates the effect of self-efficacy on mobile financial information systems. In order to do that, self-efficacy, mobile financial information systems reliability, mobile financial information systems use intensity are conceptualized by survey questionnaire. Our empirical analysis based on 462 survey data shows that self-efficacy effects on mobile financial information systems quality. In addition we also found that self-efficacy effects on mobile financial systems reliability and usage intention. And we found that mobile financial information systems reliability effects on mobile financial systems use intention. And we also found that mobile financial information systems usage intention effects mobile financial systems quality.

• Journal of Information Technology Applications and Management
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• 제25권2호
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• pp.1-21
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• 2018

This study aims to investigate the usage patterns of users in Social Network Services (SNS) where is an upsurge. Specifically, the paper considers the reason why young people more and more prefer online (or mobile) SNS activities rather than offline face-to-face social relationship. Furthermore, the drivers which affect SNS usages are considered from users' personal characteristics and social influences. User's personal characteristics include their personalities (extraversion and introversion), narcissism, and life satisfaction. Social influences involve subjective norm, visibility, and image. Affected by personal and social factors in SNS, users intend to show positive self-presentation, which refers to a behavior to selectively expose his/her goodness to others. As one of the most influential drivers affecting SNS usage, the positive self-representation has an effect on the level of SNS usage. Thus, this paper suggests the hypothesized research model focusing on positive self-representation in the relationship among personal characteristics, social influence, and user's behavior in SNS. Empirical data analysis with 100 questionnaires suggests that all hypotheses were adopted except for the effect of visibility among social influence factors on positive self-representation.

• 한국의류학회지
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• 제43권5호
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• pp.605-619
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• 2019

This study investigates the effects of fashion consumers' individualism collectivism propensity, social capital and Instagram usage propensity on evaluations for fashion influencer's attributes on Instagram. This study conducted a questionnaire survey of 20 to 30 year old male and female Instagram users. A total of 483 replies were submitted and 467 of the replies were used in the final analysis. The quantitative data collected through questionnaires were analyzed using reliability analysis using SPSS 18.0 while AMOS 18.0 was used to test the model fit and a structural equation modeling between the variables. The results indicated that vertical collectivism and vertical individualism were found to be related to relationship seeking propensity; only vertical individualism was found to be related to information seeking propensity. Furthermore, relationship seeking propensity and information seeking propensity were both related to the fashion influencer's attributes of professionalism, intimacy and attractiveness.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.698-705
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• 2008

Under the rapid change in environment of our society and culture, it is also called for a reform in railway management that has traditionally focused on transportation service. Thus developing a business model to use station buildings as a new source of profit has become a promising core business of railway companies. This study aims to find a way to maximize profits by strategically utilizing station buildings and thereby increasing accessibility to customers and consolidating facilities as a key service point. The subjects of this study include eight station buildings that can represent three types of railway stations including departure stations, junction stations, and metro stations. The researcher conducted an analysis on moving lines for examining user distribution and facility utilization within the selected buildings, a survey for collecting basic information on usage and measuring customer satisfaction of facility in the buildings, and a sight analysis to examine accessibility to the station buildings. On the basis of these analyses, the researcher examined the correlations between convenience, visibility, recognizability and functionality with regard to commerce, amenities, couches, direction boards, etc. within station waiting rooms. On the basis of the above analyses, the researcher provides a scheme to increase profitability in railway operation business and customer benefits of using station buildings by drawing up a plan to improve usage of station buildings and maximize profit-making potential for each category of station buildings.

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.153-169
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• 2020

Purpose Many students have concerned about the quality and operation of online courses with universities offering online courses to avoid the spread of COVID-19. To deepen our understanding of university online class systems, this research aims to assess students' satisfaction with online class systems and continuous usage intention on the basis of the perceived benefits and expectation confirmation theory. Design/methodology/approach This paper empirically analyzes the impact of each perceived benefit on user satisfaction and the intention to use it continuously by dividing the perceived benefits considered in existing literature into utilitarian benefits (convenience), emotional benefits (pleasure), and symbolic benefits (personal benefits). Moreover, the perceived expectations and performance have also been assessed with its impact on satisfaction and the intention to continue use. Data collected from 241 university students were empirically tested against a research model. Findings Analysis results showed that perceived advantages (comfort, enjoyment and personalized benefit) significantly affect user satisfaction and that perceived benefits have positive effects on the intention to continue use whereas the expected confirmation do not significantly influence on the intention to continue use.

• Educational Technology International
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• 제18권2호
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• pp.159-191
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• 2017

Academic analytics guides university decision-makers to assign limited resources more effectively. Especially, diverse academic courses clustered by the usage patterns and levels on Learning Management System(LMS) help understanding instructors' pedagogical approach and the integration level of technologies. Further, the clustering results can contribute deciding proper range and levels of financial and technical supports. However, in spite of diverse analytic methodologies, clustering analysis methods often provide different results. The purpose of this study is to present implications by using three different clustering analysis including Gaussian Mixture Model, K-Means clustering, and Hierarchical clustering. As a case, we have clustered academic courses based on the usage levels and patterns of LMS in higher education using those three clustering techniques. In this study, 2,639 courses opened during 2013 fall semester in a large private university located in South Korea were analyzed with 13 observation variables that represent the characteristics of academic courses. The results of analysis show that the strengths and weakness of each clustering analysis and suggest that academic leaders and university staff should look into the usage levels and patterns of LMS with more elaborated view and take an integrated approach with different analytic methods for their strategic decision on development of LMS.

• 유통과학연구
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• 제22권1호
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• pp.13-23
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• 2024

Purpose: Within the ever-changing realm of modern e-commerce, this study delves into the complex effects of factors like performance expectations, ease of use, social influence, favorable conditions, and enjoyment perception on users' intentions and usage patterns in online marketplace apps. The research centres on Tokopedia app users in Denpasar City, encompassing a wide and varied demographic. Methods: Utilizing a non-probability sampling method, 200 participants were selected for extensive data collection through surveys. Subsequent rigorous analysis of the gathered data was performed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) techniques. Results: This study aims to contribute substantially to theoretical and practical knowledge regarding marketplace app usage. Theoretical contributions involve enhancing the marketing domain, especially in digital marketing, by revealing the intricate factors influencing user conduct in online marketplaces. From a practical standpoint, this research provides valuable insights for entrepreneurs aspiring to join or improve their positions in the Tokopedia app market. Conclusion: Based on the study, we suggest optimising online shopping apps for a more appealing and user-friendly interface. Enhancing the enjoyment and simplicity of finding desired products can prompt heightened usage of online shopping services, thereby reinforcing distribution management strategies and overall market presence.

• 한국항공운항학회지
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• 제32권2호
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• pp.124-134
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• 2024

This study is based on the Expectation Confirmation Theory (ECT) and categorizes trust types in non-face-to-face boarding services into three dimensions: structural assurance, platform, and service provider. It analyzes the impact of these trust types on users' perceived usefulness, satisfaction, and continuous usage intentions. Using a structural equation model, the study found that the three dimensions of trust positively influence users' satisfaction and perception of usefulness, thereby promoting intentions for continuous use. However, perceived risk weakens the positive relationship between trust and continuous usage intentions. By exploring the moderating role of perceived risk in non-face-to-face boarding services, this study analyzes its impact on user behavior patterns, contributing to the optimization of service design and enhancement of user trust. This study promotes widespread acceptance and continuous use of the service, and is crucial for developing effective non-contact service strategies that meet the needs and expectations of Chinese travelers in the post-pandemic travel environment. The findings provide a new perspective and empirical evidence for understanding user attitudes and behaviors towards non-face-to-face services, holding significant theoretical and practical implications.

• Journal of the Korean Statistical Society
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• 제18권1호
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• pp.4-12
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• 1989

An efficient method for computing minimum norm quadratic unbiased estimates (MINQUE) of variance components in the mixed model is developed. This computing algorithm which used W-matrix saves both storage usage and computing time.

• ETRI Journal
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• 제5권4호
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• pp.17-21
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• 1983

Sine call handling for stored program control exchange can be regarded as finite state machine model of sequential process, the state transition concept is applied to describe its functions. Coding method of the state transition table applied to M10CN ESS call processing and concerned topics was discussed and proposed another method for reduction memory usage.