• Human Ecology Research
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• v.56 no.6
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• pp.493-506
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• 2018

This study analyzes factors that determine the usage of digital information by senior consumers in the mobile environment. Senior consumers are alienated from digital information in South Korea; therefore, there have been increasing attempts to resolve this digital divide and reduce the digital information usage gap between young adults and senior consumers. The study used panel data from the National Information Society Agency (2017); there were 1,463 participants, aged 50-79 years. SPSS 19.0 was used to conduct the statistical analyses for frequency, factor analysis, Cronbach' ${\alpha}$ analysis, descriptive analysis and hierarchical multiple-regression analysis. The results are as follows. First, negative attitude toward information society negatively influenced the mobile digital information usage in diversity context. Second, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & Mobile, and family support positively influenced the mobile digital information usage in diversity context. Third, negative attitudes toward information society negatively influenced the mobile digital information usage in quality context. Forth, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & mobile, and family support positively influenced the mobile digital information usage in quality context. The study results can help further understand mobile usage behaviors among senior citizens and the implications on their quality of life in the digital information era.

• Journal of Information Management
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• v.43 no.3
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• pp.161-180
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• 2012

In this study, concept and importance of e-journal usage statistics has been examined and Journal Usage Factor project performed by Project COUNTER group has been investigated. Advantages and limits of usage statistics generated by library, link resolver and publisher have been clarified. By analyzing various errors and problems included in publisher-generated usage statistics, we conclude that the current usage statistics is not completely credible yet.

• The Journal of Society for e-Business Studies
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• v.19 no.4
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• pp.61-72
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• 2014

Recently usage on digital scholarly information has been analyzed with various respects by various parties since the rapid expansion of digital scholarly information use and the increasing availability of large-scale log data. Nevertheless, no standard platform for distributing usage statistics of scholarly information at the national scale has been suggested so far. Therefore, this paper suggests a generalized SUSHI (Standardized Usage Statistics Harvesting Initiative) platform for distributing usage statistics of digital scholarly information at the national scale.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.255-274
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• 2008

The purpose of this research is to develop an information technology (IT) usage level assessment model for service industry. It is necessary to develop an assessment model for service industry's IT usage to improve service productivity. However, it is not easy to develop assessment models due to service industry's diversity. In this paper a generic IT usage assessment model for service industry has been developed and validated through a descriptive approach. Key factors affecting service productivity have been identified and analysed. A pilot test on IT usage level has been performed to investigate the relevance and importance of IT usage indicators (factors). As a result, a set of effective IT usage indicators for service industry have been found. A short-cut model and a full scale model have been proposed for efficient and effective usage. The results of this study can be used for enhancement of service industry productivity through the increase of IT usage level.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.16-22
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• 2016

This paper addresses the load usage scheduling in the HEMS for residential power consumers. The HEMS would lead the residential users to change their power usage, so as to minimize the cost in response to external information such as a time-varying electricity price, the outside temperature. However, there may be a consumer's inconvenience in the change of the power usage. In order to improve this, it is required to understand the pattern of load usage according to the external information. Therefore, this paper suggests a methodology to model the load usage pattern, which classifies home appliances according to external information affecting the load usage and models the usage pattern for each appliance based on a copula function representing the correlation between variables. The modeled pattern would be reflected as a constraint condition for an optimal load usage scheduling problem in HEMS. To explain an application of the methodology, a case study is performed on an electrical water heater (EWH) and an optimal load usage scheduling for EHW is performed based on the branch-and-bound method. From the case study, it is shown that the load usage pattern can contribute to an efficient power consumption.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.179-186
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• 2019

While there have been a lots of studies on the use of cyber money, few researches proposed the results on relationships among quality factors, usage intention, and usage characteristics of cyber money in online business environment. Therefore, this study investigates the relationships between cyber money quality and usage intention of cyber money, and examines whether the usage characteristics(frequency, amount) of cyber money has moderating effect on the relationship between cyber money quality and usage intention of cyber money. Firstly, multiple regression analysis tells significant causal relationship between functional and emotional factors of cyber money quality and usage intention of cyber money. Secondly, dummy regression analysis shows usage characteristics of cyber money has the moderating effect on the relationship between cyber money quality and usage intention of cyber money. This paper concludes with some implications for both theory development and cyber money practice.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.1
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• pp.221-234
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• 2007

The purposes of this study were to identify the effect of clothing involvement and shopping orientations on the usage of information sources and to investigate the differences of clothing involvement, shopping orientation and clothing purchasing behavior according to the types of information source usage. The study subjects comprised 302 females living in Seoul. The datas were analyzed with factor analysis, regression, ANOVA, discriminant analysis, and $x^2$-test. The results generated from this study are as follows: First, clothing involvement and shopping orientation factors influenced the usage of information source. Among the clothing involvement factors, fashion/clothing involvement was the most important factor to the types of information source. Second, according to usage of information sources, female consumers were classified into four groups, such as active, nonpersonal, personal, and non-active information source usage group. Fashion/clothing involvement was the most significant involvement factor to divide four groups. Third, among the demographic variables, only age was the useful factor which can differ the usage of information source. For example, 30s' were more active than other groups, on the other hand 50s' use personal information source more than other groups. Therefore, marketer should blow consumer's clothing involvement and shopping orientation which are effective to the usage of information source, and use this knowledge on the advertising and marketing plan.

• Journal of the Korean Society for information Management
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• v.19 no.2
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• pp.31-48
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• 2002

The purpose of this study is to identify how to construct roles and services appling advanced information resources management to improve usage and utilization in corporation that is affected by changing information and competition environment. This study presents the relationship between certain individual variables and information management variables and the usage and utilization of the information resources appling advanced information resources management. For future research, information resource's utilization and quality of usage are suggested.

• Journal of the Korea Society of Computer and Information
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• v.23 no.7
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• pp.39-47
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• 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 Internet Computing and Services
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• v.21 no.4
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• pp.77-85
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• 2020

The purpose of this study is to explore the changing trajectory of using educational media through longitudinal data analysis. We categorize the feature of using educational media as usage for learning, usage for information, and usage for the game. We explore the longitudinal changing patterns of usage for learning, usage for information, and usage for the game by LGM(Longitudinal Growth Modeling). We also find the gender difference between these longitudinal changing trajectories. We used 3,499 samples of KYPS middle school second-grade panel data. We found these results: (a) Both usage for learning and information are statically significant variability in initial level and rate of change. Both of the changing trajectories have increased. (b) Girls have a higher rate of the change both in the usage of learning and information than boys over time. (c) There is a statistically significant individual variability in initial levels and rate of change in the usage of the game over time. (d) Boys have a higher rate of initial value than girls in the usage of games, but there is no significant difference in the rate of changing trajectories.