To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors a...To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA.A research model was constructed based on the technology acceptance model.A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data.The analysis was based on structural equation modeling.The empirical results show that the perceived ease of use,the perceived usefulness,the social influence,and the facilitating conditions affected the users’behavioral intention,but their impacts were different at different times.As the usage time increases,the technology acceptance model is still universal for understanding the user perception of LMA.In addition,two extended variables(social impact and convenience)also affect the user’s behavior intention.User behavior is dynamic and changed over time.This study is important both theoretically and practically,as the results could be used to improve the service quality of LMAs and reduce the loss rate of users.Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.展开更多
Human activities on street spaces are affected by both physical and non-physical settings on streets.These two aspects are primarily impacted by land use which results in the uneven distribution of different activitie...Human activities on street spaces are affected by both physical and non-physical settings on streets.These two aspects are primarily impacted by land use which results in the uneven distribution of different activities on streets.This research investigates land use patterns and their characteristics in association to user’s behaviors.By using mixed qualitative and quantitative research methods,e.g.,place-centered behavioral map,observation,visual encounter surveys,machine learning,the relationship between user’s behavior and land use characteristics along the street is unveiled.All user behaviors along both types of streets were classified into six main categories,with 26 subcategories.The observation results show that the residential use of land along the street was transformed into the commercial use for various types of shophouses based on the resident’s ideas.There is a great correlation between land use and user’s activities.These findings give support to authorities to manage urban streets and develop a sustainable policy for improving street spaces.Further,this research contributes useful information to urban designers and planners in creating a successful street space that is appropriate for the Vietnam Community.展开更多
In taking into full consideration of the technology acceptance model(TAM),this empirical study has made a few assumptions and also has formulated a model for the study on the level of satisfaction of database users. T...In taking into full consideration of the technology acceptance model(TAM),this empirical study has made a few assumptions and also has formulated a model for the study on the level of satisfaction of database users. This research project was conducted by collecting relevant data from library users of five universities. Specifically, it aimed to measure database users' level of satisfaction and tried to find factors affecting these graduate students who are using databases regularly at their university libraries. An analysis of the collected data shows that the level of database users' satisfaction could be directly affected by the database service quality, the easiness of accessing the system and user perceived notion of usefulness of those databases that they use often. This study also found that database users' gender could be a significant factor in their perceived notion of easiness of accessing databases, and also in their perceived notion of satisfaction for their successful information retrieval operations. The frequency of accessing databases by these graduate students has an impact on users' perceived notion of easiness of database access. The users' school classifications could make a significant difference in their perceived notion on the extent of usefulness of a particular database.展开更多
目的运用技术接受理论调查工作实践中电子病历系统(electronic medical record,EMR)的用户感知,分析影响使用行为的外部因素与内在机制,为系统设计提供理论参考。方法采用机械抽样抽取新疆地区6所医院487名EMR用户为研究对象,设计基于...目的运用技术接受理论调查工作实践中电子病历系统(electronic medical record,EMR)的用户感知,分析影响使用行为的外部因素与内在机制,为系统设计提供理论参考。方法采用机械抽样抽取新疆地区6所医院487名EMR用户为研究对象,设计基于技术接受理论的EMR用户感知行为调查问卷,运用AMOS 16.0结构方程建模工具建立分析模型,分析感知技术、感知过程、结果间相互作用机制。结果易用性可使用户对诊疗过程复杂性的感知产生显著的负向影响(β=-0.426,P<0.05),有用性可对复杂性产生显著的负向影响(β=-0.359,P<0.05),有用性可对刚性产生显著的负向影响(β=-0.353,P<0.05),复杂性可对用户行为、态度产生显著的负向影响(β=-0.307,P<0.01),刚性可对用户行为、态度产生显著的负向影响(β=-0.212,P<0.05),易用性无法对有用性感知产生显著的影响(β=0.181,P>0.05)。结论感知技术特性与感知过程特性决定了用户使用EMR的态度与行为;厘清影响态度与行为的因素,对持续推动EMR在医疗卫生机构的深入使用具有重要意义。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
文摘To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA.A research model was constructed based on the technology acceptance model.A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data.The analysis was based on structural equation modeling.The empirical results show that the perceived ease of use,the perceived usefulness,the social influence,and the facilitating conditions affected the users’behavioral intention,but their impacts were different at different times.As the usage time increases,the technology acceptance model is still universal for understanding the user perception of LMA.In addition,two extended variables(social impact and convenience)also affect the user’s behavior intention.User behavior is dynamic and changed over time.This study is important both theoretically and practically,as the results could be used to improve the service quality of LMAs and reduce the loss rate of users.Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.
文摘Human activities on street spaces are affected by both physical and non-physical settings on streets.These two aspects are primarily impacted by land use which results in the uneven distribution of different activities on streets.This research investigates land use patterns and their characteristics in association to user’s behaviors.By using mixed qualitative and quantitative research methods,e.g.,place-centered behavioral map,observation,visual encounter surveys,machine learning,the relationship between user’s behavior and land use characteristics along the street is unveiled.All user behaviors along both types of streets were classified into six main categories,with 26 subcategories.The observation results show that the residential use of land along the street was transformed into the commercial use for various types of shophouses based on the resident’s ideas.There is a great correlation between land use and user’s activities.These findings give support to authorities to manage urban streets and develop a sustainable policy for improving street spaces.Further,this research contributes useful information to urban designers and planners in creating a successful street space that is appropriate for the Vietnam Community.
基金supported by the Ministry of Education of China(Grant No.05JZD00024)
文摘In taking into full consideration of the technology acceptance model(TAM),this empirical study has made a few assumptions and also has formulated a model for the study on the level of satisfaction of database users. This research project was conducted by collecting relevant data from library users of five universities. Specifically, it aimed to measure database users' level of satisfaction and tried to find factors affecting these graduate students who are using databases regularly at their university libraries. An analysis of the collected data shows that the level of database users' satisfaction could be directly affected by the database service quality, the easiness of accessing the system and user perceived notion of usefulness of those databases that they use often. This study also found that database users' gender could be a significant factor in their perceived notion of easiness of accessing databases, and also in their perceived notion of satisfaction for their successful information retrieval operations. The frequency of accessing databases by these graduate students has an impact on users' perceived notion of easiness of database access. The users' school classifications could make a significant difference in their perceived notion on the extent of usefulness of a particular database.
文摘目的运用技术接受理论调查工作实践中电子病历系统(electronic medical record,EMR)的用户感知,分析影响使用行为的外部因素与内在机制,为系统设计提供理论参考。方法采用机械抽样抽取新疆地区6所医院487名EMR用户为研究对象,设计基于技术接受理论的EMR用户感知行为调查问卷,运用AMOS 16.0结构方程建模工具建立分析模型,分析感知技术、感知过程、结果间相互作用机制。结果易用性可使用户对诊疗过程复杂性的感知产生显著的负向影响(β=-0.426,P<0.05),有用性可对复杂性产生显著的负向影响(β=-0.359,P<0.05),有用性可对刚性产生显著的负向影响(β=-0.353,P<0.05),复杂性可对用户行为、态度产生显著的负向影响(β=-0.307,P<0.01),刚性可对用户行为、态度产生显著的负向影响(β=-0.212,P<0.05),易用性无法对有用性感知产生显著的影响(β=0.181,P>0.05)。结论感知技术特性与感知过程特性决定了用户使用EMR的态度与行为;厘清影响态度与行为的因素,对持续推动EMR在医疗卫生机构的深入使用具有重要意义。
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.
