• Information Systems Review
• /
• v.8 no.1
• /
• pp.125-139
• /
• 2006

Recently, as mobile internet users grow rapidly, mobile internet companies are experiencing a fierce competition to capture new customers. Under this business environment, they try to identify factors that make people use mobile internet in order to satisfy customers by providing better and diversified services. There has been enormous effort to analyze customers' behavior in choose and use mobile internet services. However, there is no one best methodology to identify factors to attract customers yet. Thus, the study applied the flow construct proposed by Csikszentmihalyi(1977) and expanded by Hoffman and Novak(1996) to identify environmental factors of internet which has impact on users' mobile internet usage. To implement the study, the following activities have been done: literature reviews on service acceptance model and flow structure, questionnaire survey, suggestion of the flow model on mobile internet, and hypothesis test. For the study, 242 out of 307 samples collected were statistically analyzed using SPSS 10.0, AMOS 4.0 statistics package. The findings of this study are as follows: First, mobile internet environment factors influencing on challenge of flow antecedent were media characteristics(use of convenience, transmission quality), contents characteristics(uniqueness, timeliness, simplicity). Second, mobile internet environment factors influencing on skill of flow antecedent were contents(uniqueness, timeliness, simplicity), charge(definiteness and diversity of charge), usage(security, instant connectivity). Third, challenge of flow antecedent had a significant effect on flow of mobile internet usage. But it was not statistically significant that skill has an influence on flow. This study discovered the relationship between mobile internet environment factors(media characteristics, contents characteristics, charge characteristics, usage characteristics) and flow experience of mobile internet users which would be a valuable insight for marketing strategies. Results shows that challenge of flow antecedent have a significant impact on flow experience in mobile internet environment. Additional, media characteristics, contents characteristics of mobile internet environment factors is positively correlated with challenge of flow antecedent. In other words, mobile internet companies should provide customers with diverse service and take a challenging attitude to get customers show aggressive attitude in mobile internet usage.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.7
• /
• pp.165-172
• /
• 2011

This study was to investigate which factors promote the usage of WiBro service, and to propose a few of research propositions on the relationships between these factor and characteristics of mobile Internet usage. To accomplish these research purposes, the study defined research variables such as factors promoting the usage of WiBro service, characteristic of mobile Internet usage, and types of user based on the review of mobile Internet service related studies. The study performed various statistical analyses using survey questionnaires on mobile Internet users, and finally proposed some research propositions, based on the analysis results, that could be used in the future studies.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.901-913
• /
• 2021

This study examines the factors that influence the actual usage of mobile shopping applications among Generation Y (Gen Y) users in Thailand, determined by behavioral intention, compatibility, perceived cost, perceived ease-of-use, perceived usefulness, perceived risk, and personal innovativeness. The researcher carried out the analysis based on a quantitative approach and used a non-probability sampling as the convenience sampling tool. A total of 502 Gen Y respondents who experienced using the top-four ranking mobile shopping applications in Thailand were invited to participate in the study. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used to analyze the model fit, reliability, and validity of the variables. The primary result revealed that perceived usefulness has the strongest positive significant effect on behavioral intention, followed by personal innovativeness and compatibility. Conversely, the perceived cost has a significant negative influence on behavioral intention. Besides, perceived ease-of-use has a significant positive effect on perceived usefulness. The direct relationship between perceived usefulness and behavioral intention is, however, insignificant. Similarly, the result showed no effect of perceived risk towards behavioral intention. Finally, the result also revealed that behavioral intention determined the actual usage of mobile shopping applications of Gen Y users in Thailand.

• Journal of Information Technology Services
• /
• v.16 no.1
• /
• pp.119-138
• /
• 2017

Mobile easy payment is a term for using mobile devices to facilitate financial transactions. Mobile easy payment is a quickly emerging practice, supported by the dramatic increase of mobile phone or device users around the world. The purpose of this study is to classify user's group of the mobile easy payment service by their lifestyle based on I-VALS type and to investigate differences in usage behavior among the user groups. For empirical study, a questionnaire survey was carried out with users of mobile easy payment services using the Internet from June 7 to 10 in 2016. We conducted factor analysis for I-VALS, usage factors, satisfaction factors. We also performed cluster analysis for group classification, and analysis of variance, cross analysis to compare the different usage behavior among the user groups. In analysis results, first three cluster appeared including "ICT task-oriented group", ICT positive and socialities oriented group", "ICT leader-oriented group". Second, it was found significant differences among the clusters about factor of "easy of use", "securities", "universality", "satisfaction". Third, we showed that there were significant differences in time first used the service. Based on these findings, we provide practical implications. Results of our study can be expected to provide the basis of differentiated marketing strategy of mobile easy payment services.

• Journal of Information Technology Applications and Management
• /
• v.21 no.4
• /
• pp.127-139
• /
• 2014

This study presents a logging method to trace the usage patterns of existing smartphone apps. The actual smartphone app itself, not a specially developed similar app with usage logging, would be used best for the experiment of observing the usage patterns. For this purpose, we used a method of injecting logging codes into existing smartphone app. Using this method, we conducted an experiment to trace usage patterns of a commercial IPTV app, and found that the method is very useful for acquiring detail usage log without influencing participants.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.7
• /
• pp.39-47
• /
• 2018

This paper confirms the risk of using smartphone through the analysis of collected usage pattern and proposes the smartphone intervention system in risk situations. In order to check the risk of smartphone usage, we made information collecting application and collected smartphone usage pattern from 11 experiment participants for two months. By analyzing smartphone usage pattern, we confirmed that about 12% of smartphone usage is being used in driving, walking, and on the street. In addition, we analyzed the response rate of smartphone notification in risk situations and confirmed that user responds the smartphone notifications in real-time even in risk situations. Therefore, it is required to present a system that intervenes the use of smartphone in order to protect smartphone users in risk situations. In this paper, we classify risk situations of using smartphone. Also, the proposed smartphone intervention system is designed to periodically detect risk situations. In risk situations, smartphone function can be restricted according to user setting of smartphone. And smartphone can be used normally when safe situation is restored.

• Journal of the HCI Society of Korea
• /
• v.10 no.1
• /
• pp.19-27
• /
• 2015

As the mobile content industry is growing, mobile health (m-health) market is expanding based on various contents. It has developed in the way of utilizing health contents through mobile device such as smart phone among young people. This study aims to examine the usage of m-health application and factors of continuous usage among students in Seoul National University. The result is expected to provide a foundation for future health promotion programs utilizing m-health. The study analyzes the difference of application usage tendency based on demographic characteristic and the continuous usage, and compared the level of knowledge, attitude, belief, and practice (KABP) of mobile health application. 28% of the total sample population uses the application continuously, and their KABP level was higher than that of users that stopped using. This study goes beyond the previous studies of service satisfaction and acceptance analysis on the marketing level, and is meaningful in that it has analyzed the m-health application usage from the public health point of view.

• The Journal of the Korea Contents Association
• /
• v.14 no.6
• /
• pp.477-490
• /
• 2014

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.

• Management & Information Systems Review
• /
• v.38 no.1
• /
• pp.103-120
• /
• 2019

Recently, as mobile banking enables to instantly provide the customized service in accordance with customer demand via information technology. With this individual customized service, mobile banking plays a role of transforming the existing offline banking strategies. However, contrary to expectation, the mobile banking service has not been widely used to the extent that it can replace offline banking service. Therefore, the current study aims to explore the antecedents to affect customer's usage of mobile banking. Specifically, the antecedents influencing the intention to use and actual usage of mobile banking include personal-innovation fit, positive psychological capital, and service quality factors, which reflect the innovative technology characteristics of mobile banking. Furthermore, the paper also analyzes the effect of mobile banking service on intention to use and actual usage of mobile banking service. With empirical analysis using Structural Equation Modeling for 195 mobile banking users, the results showed that user's ability fit, value fit, and positive psychological capital positively affected user's future intention to use and actual usage of mobile banking. Furthermore, the current paper also found the significant moderation effect of usage purpose of mobile banking (banking task and online stock exchange) in the relationship between positive psychological capital and intention to use. This study suggests that banks need to develop mobile banking services that reflect customer's IT usability as well as their pursuing purpose and value.

• Journal of KIISE:Computing Practices and Letters
• /
• v.14 no.1
• /
• pp.63-70
• /
• 2008

As the number of cell phone users become growing, some researchers have presented that the imprudent use of mobile phones exerts harmful influence on electronic devices such as medical appliances, takeoff and landing system of aircraft. In this paper, we propose a usage model based on context-awareness which can be applied to mobile devices. The model controls the usage of both mobile devices themselves and mobile contents according to some context information like location, time, the circumference noise, etc. The proposed usage control model includes a dynamic role-based access control approach. To show the effectiveness of the proposed model, we have implemented a prototype system on an embedded board and PC server, and evaluated the performance of the system.