• International Journal of Human Ecology
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• v.6 no.2
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• pp.51-61
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• 2005

This study investigated the allowance usage practices and factors affecting saving behavior from 291 elementary school students in Susan. Frequency distributions, Pearson product-moment correlations, and logistic regression analysis were conducted by SPSS Windows. Two-fifths of the respondents did not regularly receive allowance. Many parents did not guide what children spent their money on before using it. Children spent their allowances on buying snacks, stationary, and playing in the game room. Only a small number of the respondents kept a record, but many children saved money. On the other hand, in the logistic regression analysis, the significant variables explaining children's saving behavior were parents' guidance before using allowance, record-keeping, and doing household work for an allowance. These results imply that parents are in the best position to give children positive experiences towards financial management.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.1-9
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• 2021

Artificial intelligence (AI) devices are rapidly emerging as a core platform of next-generation information and communication technology (ICT), this study investigated consumer usage behavior and user experience through AI devices that are widely applied to consumers' daily lives. To this end, data was collected from 600 consumers with experience in using AI devices were derived to recognize the attributes and behavior of AI devices. The analysis results are as follows. First, music listening was the most used among various attributes and it was found that simple functions such as providing weather information were usefully recognized. Second, the main devices used by AI device users were identified as AI speakers, smartphone, PC and laptops. Third, associative images of AI devices appeared in the order of fun, useful, novel, smart, innovative, and friendly. Therefore, practical implications are suggested to contribute to provision of user services using AI devices in the future by analyzing usage behaviors that reflect the characteristics of AI devices.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.10 no.2
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• pp.27-39
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• 2000

Objectives : The purpose of this study is to analyze the factors associated with respirator usage on the basis of reasoned action theory. Methods : The data were collected from August 1 to September 30 1999, and study subjects consisted of 303 workers who were employed in the manufacturing industries. A self-administered questionnaire was used to measure the attitude, subjective norm and related factors. Results : In bivariate analysis, the variables related to protector usage were prevention of occupational disease, protection of toxic material, disturbance during working, troublesome of usage, proper exchange of protector. Multivariate logit analysis was used to estimate factors associated with respirator usage. Significant predictors that are related to respirator usage were attitude toward the behavior, size of industry and proper exchange of protector. Conclusions : The results suggest that it is strongly required to focus on attitude toward the behavior in order to improve workers' usage of respirator.

• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.137-159
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• 2004

In the past days, most of studies about website and Online behavior have been mainly focused on the adoption of website and internet shopping or internet shopping mall. But the model of website revisit behavior has not been made and the leading theory of website usage behavior has not been existed. Lately, many researches on commercial website revisiting behavior are emphasizing the role of intention, attitude, satisfaction in online visiting behavior such as Jarvenpaa et al. [1997, 1999, 2000], Wang et al. [2001], Moon & Kim [2001], Heijden[2003], Sultan et al. [2002], Yoon [2000], Shankar et al. [2002a, 2002b], Mcknight et al. [2002], Chen & Dhillon [2003] and so on. The purpose of this paper is two-folds. The one is to find the affecting factors on the website users' revisit behavior in commercial website and the other is to search more influencing ones on the determinant factors, to analyze research model using in LISREL. The EFA and reliability test was executed by for finding the validity and reliability, covariance matrix analysis was executed for the purpose of testing the 13 hypotheses. The major finding of this paper would be summarized as followed : (1) The roles of satisfaction and attitude to the revisit behavior are very important and both variables have determining effects in commercial website revisit behavior. (2) The determining factors in positively affecting website users' satisfaction are attitude, perceived usefulness, design. (3) The determining factors in positively affecting website users' attitude are perceived usefulness, design, perceived ease of use, and negatively affecting factor was perceived risk in website.

• The Journal of Information Systems
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• v.25 no.1
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• pp.201-223
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• 2016

Purpose As social network games (SNG) enjoy rapid growth in the market and become a major sector of the gaming industry, it is of great interest to examine the how users continuously use SNG. In SNG, the users' social interaction is the most prominent advantage of the social network, as well as the entertainment afforded by the game. This study explores the relationship between altruism, which is considered the most prominent characteristic of SNS, and the continuance usage intention, as well as the moderating role of social capital. Based on social capital theory and organizational citizenship behavior, this research model considers social bonding and bridging that are divided by social capital. Design/methodology/approach An AMOS analysis based on survey data from 223 SNG users indicated that SNG with greater altruism enhance social capital (social bonding, social bridging), which is related to the user's satisfaction and the continuance intention of SNG. Findings Social bonding is positively related to the user's satisfaction with SNG. In other words, social bridging positively affects the continuous usage intention of SNG. These findings help managers in developing and implementing altruistic relationships and social capital for continuous usage of SNG.

• Journal of Internet Technology
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• v.20 no.3
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• pp.827-838
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• 2019

The recent evolution of mobile devices and services have resulted in such plethora of mobile applications (apps) that users have difficulty finding the ones they wish to use in a given moment. We design an app recommendation system which predicts the app to be executed with high accuracy so that users are able to access their next app conveniently and quickly. We introduce the App-Usage Tracking Feature (ATF), a simple but powerful feature for predicting next app launches, which characterizes each app use from the sequence of previously used apps. In addition, our method can be implemented without compromising the user privacy since it is solely trained on the target user's mobile usage data and it can be conveniently implemented in the individual mobile device because of its less computation-intensive behavior. We provide a comprehensive empirical analysis of the performance and characteristics of our proposed method on real-world mobile usage data. We also demonstrate that our system can accurately predict the next app launches and outperforms the baseline methods such as the most frequently used apps (MFU) and the most recently used apps (MRU).

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.61-86
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• 2004

Despite their potential value, the mobile Internet services in the domestic market have not been widely accepted as industry experts have expected. To understand why, this study uses the TAM, Technology Acceptance Model, and explores the factors affecting the usage behavior of the end-users. Based on statistical analysis of survey data, we show that social influence and perceived ease of use affect perceived usefulness, and that self-efficacy and focus significantly influence perceived ease of use. Furthermore, perceived usefulness is shown to play a significant role in explaining actual usage of the mobile Internet services. However, contrary to the hypothesized relationships, service quality, focus, and innovativeness of users turn out to have little impact on the traditional endogenous TAM variables such as perceived usefulness, perceived ease of use, and actual usage behavior. Based on these results, we attempt to provide managerial implications for the domestic mobile Internet service providers and to suggest future research directions in this domain of research.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.147-169
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• 2003

Individual adoption and sustained usage of information technology(IT) are crucial prerequisites for exploiting IT as integral components of organizational work. Previous studies on technology adoption in workplace suggest that acceptance behavior is influenced by a variety of factors such as individual differences, social influences, beliefs, attitudes, and situational influences. In this paper, we introduce a research model to predict the usage behavior of intranet in workplace and also explain the causal relationships among variables. Based on the survey of 333 intranet users, this study uses structural equation model with LISREL 8.12. This study suggests several major results from surveys and analysis from them. Perceived use is influenced by intranet experience, task equivocality, organizational support, and perceived ease of use, Experience and organizational support determine perceived ease of use. Task equivocality, task interdependence, and organizational support have positive effects on subjective norm. On the other hand, present usage, which is a dependent variable in this model, is influenced by perceived use, experience, task interdependence, and organizational support.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.133-153
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• 2019

The application of mindfulness is increasing in corporation for business innovation. However, the influence of mindfulness has not been confirmed for employee in detail. Mindfulness is the awareness that arises from paying attention in the present. We often experience uncertainty abounds about what the information technology is, how well it works in the process of using information technology. According to the definition of mindfulness, mindfulness can deepen employee's thoughts and understanding of information technology and will provide a clue to the solution of the issue. This study focusses on impact of mindfulness on IT usage behavior, particularly on IT continuance usage. Research question of this study is whether mindfulness impact perceived factors related to IT continuance usage. The study of relationship between IT and mindfulness will have meaningful results because both IT and Mindfulness are aimed at corporate innovation. Based on most recent theory in IT continuance usage, called by Decomposed Expectation-Disconfirmation Model, we established hypotheses and examined the impact of mindfulness on perceived factors in process of IT continuance usage. For empirical analysis, we collected 303 employee samples and conducted Structural Equation Modeling for path analysis. We showed that mindfulness has a positive impact on perceived usefulness, usability and usefulness confirmation, usability confirmation. We also confirmed that antecedent of satisfaction is perceived usefulness, perceived usability and usefulness confirmation, usability confirmation, and satisfaction is the cause of IT continuance usage. We suggested academic and practical implication based on empirical analysis results. In academic perspective, we found the role of mindfulness in process of IT continuance usage. From practical point of view, we suggest to use of mindfulness program for IT continuance usage in corporation.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.99-110
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• 2018

Purpose - The purpose of this study is to investigate the relationship among narcissism, usage motives, usage behaviors, satisfaction with and continuance intention to use fashion social media. Research design, data, methodology - A questionnaire survey was used to collect data after conducting a pilot test. Based on the reliability test of the preliminary questionnaire used for the pilot test, the questionnaire was revised. The final questionnaires were administered to 238 fashion social media users and 216 were used for the data analysis. To assess the validity of these measures, exploratory factor analysis and the confirmatory factor analysis were performed. Structural equation modeling analysis were employed for data analysis. Results - Five factors of the usage motivation of fashion social media were extracted: information-seeking, relationship-seeking, practicality-seeking, enjoyment-seeking and self-expression motives. The statistical analysis confirmed the influence of the narcissism tendency on all of the usage motives of fashion social media, three of the fashion social media usage motives influencing information diffusion behavior, and the influence of the information diffusion behavior on users' satisfaction and continuance intention to use fashion social media. Narcissism exerted the highest influences on self-expression motive followed by information-seeking, enjoyment-seeking, relationship-seeking and practicality-seeking motives in order. Factors affecting fashion information diffusion behaviors are practicality-seeking motive, self-expression motive, and relationship-seeking motive. The greater the diffusion of information, the higher the satisfaction with using fashion social media. The consumers with higher satisfaction intended to use fashion social media and share information more frequently. Conclusions - The results indicate that narcissism is an important factor in fashion social media usage motivation. The main motives for narcissistic people to spread information is for the practical purpose at the most, and then to express their personality and style, and to build relationship with others. The satisfaction through active information sharing behaviors seems to play a key role to lead high continuance intention of fashion social media. These implies that marketing strategies to satisfy consumers' narcissism and motives to use social media, and to stimulate the information diffusion behaviors can be used to meet their needs for higher satisfaction with fashion social media.