• Journal of Family Relations
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• v.22 no.4
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• pp.157-179
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• 2018

Objectives: This study aimed to examine the relationship between Chinese adolescents' academic performance and smartphone overdependence as well as the moderating effects of parental involvement. Method: For this study, a survey was conducted with 472 adolescent students in three middle schools (n = 224) and three high schools (n = 248) in Shanghai, China. The survey consisted of the "S-Scale for Smartphone Addiction," the "Parental Involvement Scale," and questions regarding perceived academic performance using a demographic questionnaire. Results: The following are the major findings. First, after controlling for the students' demographic characteristics, hierarchical multiple regression analysis revealed that the students' perceived academic performance was negatively related to the levels of smartphone overdependence. Second, this study found significant moderation effects of parental involvement on the relationship between academic performance and smartphone overdependence. Chinese adolescents with low levels of perceived academic performance and high levels of perceived parental involvement showed high levels of smartphone overdependence. Finally, this study found significant moderation effects of parental involvement on the relationship between academic performance and smartphone overdependence only in middle-school students. Conclusions: These results indicate the need for healthy smartphone use and education and therapy programs for Chinese parents and adolescent children to prevent smartphone overdependence.

• Asia pacific journal of information systems
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• v.27 no.4
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• pp.191-215
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• 2017

This study investigated the antecedents and the performance impact of two types of Smartphone functions (communication vs. computing functions) in organizational environment and the moderating impact of Smartphone users' organizational roles. More specifically, identifying two distinct types of Smartphone functions such as communication functions and computing functions (including informational, social network, and resource management functions), we investigated the impact of three antecedents (Smartphone dependency, task mobility, and perceived critical mass) on the use of the two Smartphone functions and how organizational workers' perceived performance gains differ by using these two different Smartphone functions for their workplace activities. We tested our hypotheses with survey data collected from 176 organizational workers. Our findings suggest that Smartphone dependency, task mobility and perceived critical mass of Smartphone use are significantly associated with the use of the two different functions, and that the use of computing functions is more strongly associated with perceived performance gain than the use of communication functions. We also found that managerial roles played by individual workers differently moderate the impact of Smartphone use on perceived performance gain. The present findings enable researchers and practitioners to better understand the impact of Smartphone use in workplaces.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.293-309
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• 2022

Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.

• Journal of the Korean Society of School Health
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• v.31 no.3
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• pp.135-145
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• 2018

Purpose: The study aimed to investigate the factors associated with long hours of smartphone usage and to identify the characteristics of the high-risk group among female middle school students in South Korea. Methods: The study analyzed the data of 13,648 female middle school students using their own smartphone extracted from the 13th Youth Health Behavior Online Survey (2017). The factors related to using smartphones for a long time was analyzed by binomial logistic regression. The characteristics of the high-risk group was defined by a decision tree analysis. Results: The average hours spent on smartphone usage was 269.54 minutes per day. The significant factors associated with the long hours of smartphone usage were grade, living with parents, perceived household economic status, perceived academic achievement, stress, sadness and hopelessness, the main purpose of smartphone usage, drinking, body mass index, breakfast, and satisfaction with sleep quality. The subjects showing low academic performance and having breakfast four times a week or less were more likely to use their smartphone for a long time. Conclusion: Based on the results of the research, we need to establish intervention strategies focusing on the factors influencing long-time usage of smartphone. Particularly, the subjects who show poor academic performance and skip breakfast frequently should be considered as the high-risk group for spending long hours on smartphone usage.

• The Journal of Information Systems
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• v.23 no.3
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• pp.1-23
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• 2014

Nowadays, smartphones have become a portable multimedia computer because of a variety of useful applications in our daily lives, which can be downloaded and installed easily in smartphones. Despite of the fact that, however in the IS literature there has been little research on smartphone applications' user interface design. Specifically, there has been little understanding about smartphone users' cognitive functions as a mediating variable in the relationship between the user interface design of smartphone applications and users' work performance with the applications. Thus, the research aims of this study are to examine 1) the effects of the user interface design attributes including simplicity, consistency, and metaphor on the compliance with or the extension of users' mental models representing users' cognitive functions, and 2) the effects of the users' cognitive functions on their work performance with the applications. A survey was conducted and Structural Equation Modeling(SEM) was employed to analyze the data. The results of this study showed that two of the user interface design attributes, simplicity and consistency, strongly affected users' cognitive functions. In addition, users' cognitive functions significantly influenced users' work performance. However, there was no relationship between the metaphors in the user interfaces of smartphone applications and the compliance with users' mental model. This study contributed theoretically not only to explore users' mental models that are rarely investigated in the IS field, but also to add some findings related to users' cognitive functions to the IS literature. This study also can help practitioners to develop more user friendly user interfaces of smartphone applications by suggesting the design attributes, such as simplicity, consistency, and metaphor.

• Journal of Home Health Care Nursing
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• v.25 no.3
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• pp.191-203
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• 2018

Purpose: The purpose of this study is to investigate the problems experienced by Korean adolescents due to smartphone use and related factors. Methods: The subjects were 57,463 middle school and high school students nationwide as the 13th The Korea Youth Risk Behavior Web-Based Survey, 2017. Data were analyzed using means, standard deviations, and composite sample multiple logistic regression analysis. Results: This study confirms that negative experiences were related to general characteristics of sex, academic background, socio-economic level, residential area and form, academic performance, and parental education; health behavior characteristics of subjective health cognition, depression, and stress; and characteristics related to smartphone use. Smartphone usage time amd use of services were factors related to the problems experienced from using smartphones. Conclusion: Based on the results of this study, it is necessary to plan for the use of smartphones in consideration of physical and emotional health and to educate adolescents to promote social communication between family and friends. It is also necessary to develop and apply a smartphone use management program to maintain a balance between smartphone use, academic performance, and school life.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.43-75
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• 2021

Clearly, the smartphone is increasingly playing a greater role in everyday life, thus providing opportunities to evaluate how well the use of the smartphone meets the requirements of undergraduate students in independent learning outside of a classroom setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphone usage to interact with learning materials in independent learning outside of classrooms, the need for smartphone support, and the fit of devices to tasks as well as performance. First, the study used interviews, observation, and survey data to identify what are the most important constructs of smartphones that stimulate students to interact with learning materials in independent learning outside of classrooms. Based on the findings from the exploratory study and Task Technology Fit theory, we postulated the Navigation design, Ergonomic design, Content support, and Capacity as the essential dimension of the smartphone construct. Then, we proposed a research model and empirically tested hypotheses with the structural model analysis. The results reveal a significant positive impact of task and technology on TTF for smartphone usage to interact with learning materials in independent learning outside of classrooms; it also confirmed the TTF and performance have a direct effect on actual use.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.248-268
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• 2018

The performance of smartphone applications are usually constrained in user interactions due to resource limitation and it promises great opportunities to improve the performance by exploring the smartphone built-in and embedded sensing techniques. However, heterogeneity in techniques, semantic gap between sensor data and usable context, and complexity of contextual situations keep the techniques from seamless integration. Relevant studies mainly focus on feasibility demonstration of emerging sensing techniques, which rarely address both general architectures and comprehensive technical solutions. Based on a proposed functional model, this investigation provides a general architecture to deal with the dynamic context for context-aware automation and decision support. In order to take advantage of the built-in sensors to improve the performance of mobile applications, an ontology-based method is employed for context modelling, linguistic variables are used for heterogeneous context presentation, and semantic distance-based rule matching is employed to customise functions to the contextual situations. A case study on mobile application authentication is conducted with smartphone built-in hardware modules. The results demonstrate the feasibility of the proposed solutions and their effectiveness in improving operational efficiency.

• International Commerce and Information Review
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• v.18 no.1
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• pp.209-233
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• 2016

Today's mobile devices including smartphones are gradually taking a prominent position in many areas as portable multimedia computers and establishing a new computing paradigm. Nevertheless, it would not be easy for smartphone applications to provide users with a high level of usability under the current environment due to the physical hardware characteristics of each smartphone, which are expected to have a negative impact on the qualities of system, information, and service that smartphone applications provide. Thus, this study examined: 1) the effects of the perceived qualities of system, information, and service of smartphone applications on the perceived usability of the applications, and 2) the effect of the usability on users' individual performance with the given application. A survey was conducted and structural equation modeling (SEM) was used to analyze the data. This study found that there are significant effects of the perceived qualities of system, information, and service of smartphone applications on the perceived usability of the applications. In addition, this study also found a significant effect of the usability of samrtphone applications on the individual performance with the application.

• The Journal of Information Systems
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• v.23 no.4
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• pp.49-74
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• 2014

The introduction of smartphone caused the most revolutionary change in the domestic telecommunications market after the digital revolution. However, due to the saturation of the local market, it is expected to post negative growth in 2016 and the sales of national communication carriers is in stasis. Thus, the smartphone industry is starting to shift its marketing efforts to secure the silver generation who still has room for increase in the rate of smartphone usage. As the silver generation has physical limitations and differences in needs, the marketing strategy based on the smartphone utilization is not appropriate. This study suggests the new silver generation, who has high income level and similar characteristics to the younger generation, as the new customer segment for smartphone. We analyze the effects of the major variables of UTAUT on smartphone use, as well as examine how these relationships differ between the new silver and the net generation. We verified the hypotheses using a survey with 309 smartphone users. The research findings supported the hypotheses regarding the effects of performance expectancy, effort expectancy and facilitating conditions on smartphone use, but did not support the hypothesis on the effect of social influence. The result of the group comparisons showed that both generation have similar characteristics on innovativeness and cognitive absorption, but the moderating effect of age on performance expectancy, effort expectancy and use is stronger in conjunction with the new silver generation. The study results are expected to be used in establishing a marketing strategy for the new silver generation.