• Knowledge Management Research
• /
• v.9 no.3
• /
• pp.21-42
• /
• 2008

As many companies have recognized the importance of Knowledge Management(KM), they have invested lots of their resources in developing and deploying Knowledge Management Systems(KMS) to organize and share knowledge. When they implemented KMS in their organizations, most of them had high expectations about KMS at tile beginning. However, as time passed, its usage was rapidly declined. There have been many attempts to increase its usage. Many research works have tried to find solutions from users and organizations viewpoints, instead of the actual usage data itself. In order to assess the usage level of KMS, they have normally utilized user's attitudes toward KMS by assuming that user attitudes have strong relationship with actual uses of KMS. The purpose of this study is to assess tile impacts of user, organizational, and job characteristics on the satisfaction and the usage levels of KMS. Unlike other studies, this study is to explore impact factors which affect the usage level of KMS in organizations by using actual KMS log data as well as user's attitudes.

• Journal of Computing Science and Engineering
• /
• v.5 no.4
• /
• pp.338-345
• /
• 2011

Nowadays mobile devices are used for various applications such as making voice/video calls, browsing the Internet, listening to music etc. The average battery consumption of each of these activities and the length of time a user spends on each one determines the battery lifetime of a mobile device. Previous methods have provided predictions of battery lifetime using a static battery consumption rate that does not consider user characteristics. This paper proposes an approach to predict a mobile device's available battery lifetime based on usage patterns. Because every user has a different pattern of voice calls, data communication, and video call usage, we can use such usage patterns for personalized prediction of battery lifetime. Firstly, we define one or more states that affect battery consumption. Then, we record time-series log data related to battery consumption and the use time of each state. We calculate the average battery consumption rate for each state and determine the usage pattern based on the time-series data. Finally, we predict the available battery time based on the average battery consumption rate for each state and the usage pattern. We also present the experimental trials used to validate our approach in the real world.

• Journal of Information Technology Applications and Management
• /
• v.25 no.2
• /
• pp.1-21
• /
• 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.

• Journal of Distribution Research
• /
• v.15 no.4
• /
• pp.21-60
• /
• 2010

In recent retail environments, multichannel customer management increasingly has been considered a key element of successful CRM. Although customer's multichannel usage is believed to be potential cause of customer loyalty, the theoretical explanation about this causal relationship still remains unexamined and unanswered. In this paper, the authors present a systematic framework to test the postulated "multichannel usage-shopping experience-customer satisfaction" chain. To this end, we examine that the two core components of shopping experience(convenience and enjoyment) is a mediator of the direct causality of multichannel usage(based on both information search and product purchase stage) on customer satisfaction. Moreover, the authors examine that two types of customer-firm relationship characteristics(relationship age and purchase frequency) is a moderator of the multichannel usage-shopping experience relationship. Using integrating data with survey and customer database of multichannel retail company, the authors empirically test and substantiate shopping experience's mediating role in the multichannel usage-customer satisfaction relationship and customer-firm relationship characteristics' moderating role in the multichannel usage-customer experience relationship. These results suggest that multichannel retailers should deliver favorable shopping experience for building customer satisfaction and differentiate shopping experience according to customer-firm relationship characteristics.

• Proceedings of the Korea Society of Costume Conference
• /
• 2005.10a
• /
• pp.202-203
• /
• 2005

• 한국정보디스플레이학회:학술대회논문집
• /
• 2003.07a
• /
• pp.374-377
• /
• 2003

We reported researches of possibility of the usage of known electrooptical effects (EOE) for diffractive displays (DLCD). We found different EOEs provide the possibility of broad selection of steepness of volt-contrast characteristics at rather large steep of modulation without the usage polarizes. The data are represented much promising for broad development DLCDs.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.20 no.5
• /
• pp.738-752
• /
• 1996

The purposes of this study were 1) to test the interactive effects of usage-situation (wedding receptions, home, and vacation) and personal characteristics (age, income, education, job or self-monitoring) on clothing benefits sought and 2) to identify brand type preference of consumer groups segmented by age, income, education, job or self-monitoring within a situation. The data were collected via a questionnaire from 601 housewives of ages 20's∼ 50's living in Seoul, Korea. The data were analyzed by factor analysis, repeated measure two-way ANOVA and Chi-square test. The results of this study were as follows. First, by repeated measure tow-way ANOVA, there were significant interactions of age and situation, and interactions of education and situation on Youth/Fashion benefits and Brand-value benefits. And interactive effects of education and situation on Self-expression benefits and Economic-value benefits were significant by repeated measure two-way A NOVA. Second, based on x2-test, brand type preference was significant difference between consumer groups segmented by age, education and job within a situation. And preferences of brand type were different among usage situations.

• Korean Institute of Interior Design Journal
• /
• no.18
• /
• pp.16-22
• /
• 1999

The purpose of this study is to analyze the drafting process by using AutoCAD for the basic course as well as to suggest the educational basic data of CAD in interior desigv. This research is to show not only practical use of CAD as a drafting tool function, but offering optimizing ways of AutoCAD command usage. The method used for this study is based on an analyzing of 6 types of total 98 types AutoCAD tutorial manual in CAD section of Kyobo book center. After the analysis of the AutoCAD command usage in creating floor plan, characteristics of drafting process is nearly the same as traditional drafting process. It means that traditional drafting process grafted on to computer aided drafting process. And the practical usage of AutoCAD command type is Draw, Modify, Format and View command in creating floor plav. That is emphasis on a specific functiov. Therefore, it should be developed basic course program which adapted various function of AutoCAD.

• 중국학논총
• /
• no.71
• /
• pp.23-40
• /
• 2021

'过' and '了' are the key points, as well as difficult ones, in the academic study of Chinese grammar and language teaching. This article analyzes this language use by taking two sentence structures as example, namely 'Pao le.' and 'Pao guo le.'. As the semantic meanings of 'V+了2' and 'V+过1+了2' are very similar. Therefore, it can be confusing for non-native speakers to master this usage. This article attempts to sort out and analyze the usage environment and pragmatic characteristics of 'V+过1+了2' by employing the examples from the data of Corpus of the Chinese Linguistics Research Center of Peking University. By focusing on the usage environment and pragmatic characteristics of '过' and it is desirable for teachers to combine semantics, syntax and pragmatics while explaining the grammar point, in order for learners to understand accurate information quickly and learn how to use it.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.5
• /
• pp.599-604
• /
• 2019

This study examined how the characteristics of smartphone affect the functional performance of smartphones. In particular, this study focused on an understanding of the correlation between smartphone functional factors and usage habits. Functionality is defined as 11 kinds of functional elements. The characteristics of the smartphones were defined as the hardware characteristics and the user habits characteristics. Eighty subjects were organized to collect actual data by the smartphone function. The actual time required to perform each function was measured and observed five times for each functional element. Regression analysis was performed using Minitab ver.14 by classifying the measured values of the functional elements as dependent variables, the hardware characteristics collected through the questionnaire, and the user's usage habits as 12 independent variables. Overall, it is difficult to conclude that demographic and hardware characteristics of smartphone users have a significant effect on the performance. On the other hand, the variables related to smartphone usage habits have had a great impact on the performance of smartphone tasks, and as a result, the task execution time has increased. In simple input variables or viewing variables, the effects on usability was relatively small, but in all active variables, the execution time increased 10% - 30% in all tasks except for phone calls, seeking phone numbers, and dictionary search. Thus far, if the smartphone user interface has been provided uniformly in a large and simple manner, users with various usage habits can be utilized even if the input method and task processing method are more complicated and various interface types are provided.