Purpose: The study intends to examine the factors influencing the behavioral intention to use academic libraries’ mobile systems from the perspective of current users and potential adopters, respectively. Design/meth...Purpose: The study intends to examine the factors influencing the behavioral intention to use academic libraries’ mobile systems from the perspective of current users and potential adopters, respectively. Design/methodology/approach: Our study investigates the mobile library system’s acceptance by using a context-specific extension of the theory of reasoned action(TRA) and the technology acceptance model(TAM), which includes such factors as mobile self-efficacy, personal innovativeness and perceived playfulness. Structural equation modeling was used to test the validity of the proposed model based on the empirical data which was collected from 210 questionnaire survey participants.Findings: The result shows that 1) for both current users and potential adopters, attitude toward use and subjective norm both have a significant and positive impact on behavioral intention to use; 2) perceived usefulness and perceived ease of use are significantly correlated to potential adopters’ attitude toward use whereas perceived usefulness and perceived playfulness are significantly related to current users’ attitude toward use; 3) as for the comparison between the two groups of users, personal innovativeness not only affects perceived usefulness of both current users and potential adopters, but also affects potential adopters’ perceived playfulness positively. Mobile self-efficacy has a significant effect on perceived ease of use for both types of users.Research limitations: Although the sample size met the basic statistics requirements for the social research, the participants were mainly college students, and other mobile system users like faculty members and researchers were not investigated. In addition, some influencing factors, such as information quality, system quality and service quality were not considered in the research model.Practical implications: This study reveals main factors which influence both current users and potential adopters’ intention to use the mobile system, providing academic libraries withinsights into management strategies to offer customized mobile services to different types of users. Originality/value: Previous studies did not distinguish current users from potential adopters, which is not conducive for academic libraries to provide customized services and attract potential users. We presented an exploratory study to address this issue.展开更多
Purpose： This study aims to explore factors affecting continuance intention of mobile reading. Design/methodology/approach： Drawing on the unified theory of acceptance and use of technology （UTAUT）, and integratin...Purpose： This study aims to explore factors affecting continuance intention of mobile reading. Design/methodology/approach： Drawing on the unified theory of acceptance and use of technology （UTAUT）, and integrating perceived enjoyment, we put forward a theoretical research model of factors affecting continuance intention of mobile reading. Using 186 valid data collected through a questionnaire survey, we conducted data analysis with the partial least squares structural equation modeling （PLS-SEM）. Findings： The results show that performance expectancy, effort expectancy, social influence and perceived enjoyment all have positive impacts on continuance intention. Among them, perceived enjoyment has the most significant effect on continuance intention, followed by performance expectancy. In addition, effort expectancy significantly influences perceived enjoyment. Contrary to our expectation, facilitating conditions have no impact on continuance intention. Practical implications： This study could help mobile data service providers to foster users＇ continuous usage of mobile reading. Research limitations： This study focused only on the effect of perceived enjoyment as an internal motivation on continuance intention of mobile reading, and other possible factors were not considered. Also, continuance intention may be different from the actual behavior. Furthermore, data of student users was collected from one university in China, and was cross-sectional, while working samples were not considered. Originality value： This study considers the effects of both external and internal motivation on continuance intention of mobile reading. The results highlight the role of perceived enjoyment in building users＇ continuance intention of mobile reading.展开更多
In the recent Smart Home(SH)research work,intelligent service recommendation technique based on behavior recognition,it has been extensively preferred by researchers.However,most current research uses the Semantic rec...In the recent Smart Home(SH)research work,intelligent service recommendation technique based on behavior recognition,it has been extensively preferred by researchers.However,most current research uses the Semantic recognition to construct the user’s basic behavior model.This method is usually restricted by environmental factors,the way these models are built makes it impossible for them to dynamically match the services that might be provided in the user environment.To solve this problem,this paper proposes a Semantic behavior assistance(Semantic behavior assistance,SBA).By joining the semantic model on the intelligent gateway,building an SA model,in this way,a logical Internet networks for smart home is established.At the same time,a behavior assistant method based on SBA model is proposed,among them,the user environment-related entities,sensors,devices,and user-related knowledge models exist in the logical interconnection network of the SH system through the semantic model.In this paper,the data simulation experiment is carried out on the method.The experimental results show that the SBA model is better than the knowledge-based pre-defined model.展开更多
文摘Purpose: The study intends to examine the factors influencing the behavioral intention to use academic libraries’ mobile systems from the perspective of current users and potential adopters, respectively. Design/methodology/approach: Our study investigates the mobile library system’s acceptance by using a context-specific extension of the theory of reasoned action(TRA) and the technology acceptance model(TAM), which includes such factors as mobile self-efficacy, personal innovativeness and perceived playfulness. Structural equation modeling was used to test the validity of the proposed model based on the empirical data which was collected from 210 questionnaire survey participants.Findings: The result shows that 1) for both current users and potential adopters, attitude toward use and subjective norm both have a significant and positive impact on behavioral intention to use; 2) perceived usefulness and perceived ease of use are significantly correlated to potential adopters’ attitude toward use whereas perceived usefulness and perceived playfulness are significantly related to current users’ attitude toward use; 3) as for the comparison between the two groups of users, personal innovativeness not only affects perceived usefulness of both current users and potential adopters, but also affects potential adopters’ perceived playfulness positively. Mobile self-efficacy has a significant effect on perceived ease of use for both types of users.Research limitations: Although the sample size met the basic statistics requirements for the social research, the participants were mainly college students, and other mobile system users like faculty members and researchers were not investigated. In addition, some influencing factors, such as information quality, system quality and service quality were not considered in the research model.Practical implications: This study reveals main factors which influence both current users and potential adopters’ intention to use the mobile system, providing academic libraries withinsights into management strategies to offer customized mobile services to different types of users. Originality/value: Previous studies did not distinguish current users from potential adopters, which is not conducive for academic libraries to provide customized services and attract potential users. We presented an exploratory study to address this issue.
基金supported by the National Natural Science Foundation of China(Grant No.:71403301)
文摘Purpose： This study aims to explore factors affecting continuance intention of mobile reading. Design/methodology/approach： Drawing on the unified theory of acceptance and use of technology （UTAUT）, and integrating perceived enjoyment, we put forward a theoretical research model of factors affecting continuance intention of mobile reading. Using 186 valid data collected through a questionnaire survey, we conducted data analysis with the partial least squares structural equation modeling （PLS-SEM）. Findings： The results show that performance expectancy, effort expectancy, social influence and perceived enjoyment all have positive impacts on continuance intention. Among them, perceived enjoyment has the most significant effect on continuance intention, followed by performance expectancy. In addition, effort expectancy significantly influences perceived enjoyment. Contrary to our expectation, facilitating conditions have no impact on continuance intention. Practical implications： This study could help mobile data service providers to foster users＇ continuous usage of mobile reading. Research limitations： This study focused only on the effect of perceived enjoyment as an internal motivation on continuance intention of mobile reading, and other possible factors were not considered. Also, continuance intention may be different from the actual behavior. Furthermore, data of student users was collected from one university in China, and was cross-sectional, while working samples were not considered. Originality value： This study considers the effects of both external and internal motivation on continuance intention of mobile reading. The results highlight the role of perceived enjoyment in building users＇ continuance intention of mobile reading.
基金supported by the National Natural Science Foundation of China(61772196,61472136)the Hunan Provincial Focus Social Science Fund(2016ZDB006)+2 种基金Hunan Provincial Social Science Achievement Review Committee results in appraisal identification project(Xiang social assessment 2016JD05)Key Project of Hunan Provincial Social Science Achievement Review Committee(XSP 19ZD1005)financial support provided by the Key Laboratory of Hunan Province for New Retail Virtual Reality Technology(2017TP1026)。
文摘In the recent Smart Home(SH)research work,intelligent service recommendation technique based on behavior recognition,it has been extensively preferred by researchers.However,most current research uses the Semantic recognition to construct the user’s basic behavior model.This method is usually restricted by environmental factors,the way these models are built makes it impossible for them to dynamically match the services that might be provided in the user environment.To solve this problem,this paper proposes a Semantic behavior assistance(Semantic behavior assistance,SBA).By joining the semantic model on the intelligent gateway,building an SA model,in this way,a logical Internet networks for smart home is established.At the same time,a behavior assistant method based on SBA model is proposed,among them,the user environment-related entities,sensors,devices,and user-related knowledge models exist in the logical interconnection network of the SH system through the semantic model.In this paper,the data simulation experiment is carried out on the method.The experimental results show that the SBA model is better than the knowledge-based pre-defined model.
