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
In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing custome...In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.展开更多
The aim of this paper is to analyze how some specific factors can impact on attitudes towards usage(ATU),and effect on behavioral intention(BI),when the potential medical tourist carries out the medical tourist destin...The aim of this paper is to analyze how some specific factors can impact on attitudes towards usage(ATU),and effect on behavioral intention(BI),when the potential medical tourist carries out the medical tourist destination information sourcing process.Specifically,we considered electronic word of mouth communication(eWOM),trust(TRT),perceived usefulness(PU),and perceived ease of use(PEOU).The data were collected from 698 experienced users participating in a tourism thematic Facebook group.The results state that being social media an effective channel to share contents among users,the more expert users are more influenced in the behavioural intention of choosing medical tourism destinations and trust is the variables with the strongest influence on attitude,which affects users’behavioural intention towards the use of Facebook to find information on medical tourism destination.These results contribute to the scientific debate on users’behavior in utilizing social media to find information for a medical tourism destination and provide support to the marketing and communication strategies of medical tourism practitioners.展开更多
The purpose of this study is to understand the effect of tourists’ perception of destination image and service quality on their behavioral intention. A total of 1020 valid questionnaires were collected from tourists ...The purpose of this study is to understand the effect of tourists’ perception of destination image and service quality on their behavioral intention. A total of 1020 valid questionnaires were collected from tourists in Lukang Town, Taiwan, by means of convenient sampling. After descriptive statistics and PLS statistical analysis, the results show that: 1) Tourists’ image of Lukang town has a positive effect on their perceived service quality. In addition, it also has a positive effect on future travel behavior intention;2) The service quality of tourists in Lukang has a positive effect on their future travel behavior intention. 3) This study also finds that service quality has a mediating effect on tourism behavior intention. Finally, based on the results of the study, suggestions for future research and tourism planning are put forward.展开更多
Brand experience is essential in shaping the competitive advantage and sustainability of theme park attractions.Using Shanghai Disneyland as a reference case,this study examined the relationships among brand experienc...Brand experience is essential in shaping the competitive advantage and sustainability of theme park attractions.Using Shanghai Disneyland as a reference case,this study examined the relationships among brand experience,perceived value,satisfaction,and behavioral intention.And their relationship is the key point for the sustainable development of theme park market.This study constituted the relationship path theory mode of hypothesis between brand experience,perceived value,satisfactory,behavior intention.The key findings of this study revealed that the brand experience of theme park has significant positive impact on perceived value and satisfaction.In that,thoughts have no significant impact on emotional value and societal value.Similarly,functional experience has no significant impact on recreational value.Subsequently,perceived value has significant positive impact on satisfaction.And lastly,satisfaction has significant positive impact on tourist behavioral intention.The findings of this study may offer constructive bases to the management of Shanghai Disneyland and other theme park attractions of similar nature in formulating policies and marketing strategies.展开更多
Under the influence of celebrity effect and para-social interaction,film is increasingly able to induce viewers’willingness to travel.Based on the theory of para-social interaction and the factors of place attachment...Under the influence of celebrity effect and para-social interaction,film is increasingly able to induce viewers’willingness to travel.Based on the theory of para-social interaction and the factors of place attachment,this study constructs a model of the influence mechanism of film-induced tourists’behavioral intention and puts relevant hypotheses.Taking the film A Little Red Flower as an example,the empirical test is carried out by using structural equation model(SEM).The results show that:(1)Film-induced tourists’emotional involvement has a significant positive impact on tourism behavioral involvement,but has no direct and significant impact on place dependence and place identity.(2)Film-induced tourists’behavioral involvement has a significant positive impact on place dependence and place identity.(3)Both place dependence and place identity of film-induced tourists have significant positive impact on tourism behavioral intention.Therefore,film tourism destinations should show the unique local conditions and customs according to the preference of fans and audiences,with the help of the popularity of film,so as to improve their tourism behavior intention.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
WEEE(Waste Electrical and Electronic Equipment),also called e-waste,has become the world’s fastest-growing waste stream but only has a 17.4%recycling rate according to the Global E-waste Monitor 2020.The collection r...WEEE(Waste Electrical and Electronic Equipment),also called e-waste,has become the world’s fastest-growing waste stream but only has a 17.4%recycling rate according to the Global E-waste Monitor 2020.The collection rate for sWEEE(Small WEEE),e.g.,used mobile phones,is even lower than 10%due to stockpiling at home and improper disposal via the general waste or private informal channels.The purpose of this paper was to(a)review how the TPB(Theory of Planned Behavior)was applied in the literature related to consumer behavioral intention for WEEE recycling and determine the most significant TPB predictors by comparing their standardized influence coefficients across various studies,and(b)identify additional behavior determinants specific to sWEEE recycling and thus develop a new TPB-sWEEE theoretical framework by integrating the TPB model with these new determinants in order to improve the predictability of consumers’sWEEE recycling behavioral intention.This paper reviewed over 30 peer-reviewed studies from Scopus and high impact factor journals and led to the following three key findings:(a)More variables of recycling behavioral intention determinants such as the size of WEEE need to be considered;(b)Eight sWEEE-specific behavioral determinants have been identified and included in the newly developed TPB-sWEEE model,including consumers’Sentimental Attachment,Data Security Concern,Economic Incentives,and How-to Knowledge;(c)For some sWEEE-specific determinants,their extent of influence differs across various regions and countries.This paper contributes to the sWEEE-specific consumer recycling behavior theoretical framework to fill the existing gap in the literature and provides recommendations through the new model for research-based behavioral intervention strategies and policy designs globally.展开更多
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: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationshi...Purpose: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationships to a user's intentions.Design/methodology/approach: Based on technology acceptance model(TAM), network externality, trust, and an interview survey, this study proposes a personal cloud storage adoption model. We conducted an empirical analysis by structural equation modeling based on survey data obtained with a questionnaire.Findings: Among the adoption factors we identified, network externality has the salient influence on a user's adoption intention, followed by perceived usefulness, individual innovation, perceived trust, perceived ease of use, and subjective norms. Cloud storage characteristics are the most important indirect factors, followed by awareness to personal cloud storage and perceived risk. However, although perceived risk is regarded as an important factor by other cloud computing researchers, we found that it has no significant influence. Also, subjective norms have no significant influence on perceived usefulness. This indicates that users are rational when they choose whether to adopt personal cloud storage.Research limitations: This study ignores time and cost factors that might affect a user's intention to adopt personal cloud storage.Practical implications: Our findings might be helpful in designing and developing personal cloud storage products, and helpful to regulators crafting policies.Originality/value: This study is one of the first research efforts that discuss Chinese users' personal cloud storage adoption, which should help to further the understanding of personal cloud adoption behavior among Chinese users.展开更多
This study evaluates the mediation role of taxpayer egoism in the nexus between tax evasion intention(TEI)and its determinants.TEI is measured as a composite variable(for mediation in the PROCESS macro)and then as a l...This study evaluates the mediation role of taxpayer egoism in the nexus between tax evasion intention(TEI)and its determinants.TEI is measured as a composite variable(for mediation in the PROCESS macro)and then as a latent variable(for mediation in Analysis of Moment Structure Software AMOS).Further,the stringent assumptions of mediation analysis by Baron and Kenny(Strategic,and Statistical Considerations 51:1173-1182,1986)are challenged via assertions by Hayes(Introduction to Mediation,Moderation and Conditional Process Analysis:A Regression-Based Approach,The Guilford Press,2018).The proxies for TEI are the respondents'ethical attitudes toward taxation Determinants of tax evasion intention are grouped into perceived behavioral control attitude and subjective norms as per theory of planned behavior(TPB)and extant literature.The detailed variables adopted from the literature include tax awareness,tax information,tax complexity,perceived power of authority,tax morals,tax fairness,and trust in government.A totalof 151 responses were collected Mediation analysis was done via bootstrapping in the PROCESS macro and through AMOS.A plethora of studies focus on determinants of tax evasion,tax compliance and their intentions However,none combine analysis via the two tools highlighted.Further,few challenge the old way of conducting mediation analysis The data provide statistical support for egoism's mediation in the effect of four determinants on tax evasion intention.It further confirms that many of the old preconditions for mediation are unnecessary given modern-day bootstrapping analysis.Insight into determinants of TEI and egoism have been provided However,this study uses cross-sectional data Future studies must use longitudinal data or experimental manipulation to infer more specific effects.展开更多
Vaccination is crucial in controlling the spread of the coronavirus disease 2019(COVID-19)that triggered the pandemic,but herd immunity can only work with high vaccination coverage in the population.This study aims to...Vaccination is crucial in controlling the spread of the coronavirus disease 2019(COVID-19)that triggered the pandemic,but herd immunity can only work with high vaccination coverage in the population.This study aims to measure the COVID-19 knowledge level and determine the factors influencing COVID-19 vaccination intention among university students in Malaysia.A cross-sectional online survey was carried out with 1,274 Malaysian university students in July 2021.Univariate and multivariate analyses were employed to examine the relationships between the study variables.Results showed that the majority of university students had an acceptable level of knowledge of COVID-19.The knowledge,risk perception of COVID-19,social norms,and perceived benefit of COVID-19 vaccination were positively associated with vaccination intention.However,perceived trust in information sources of COVID-19 vaccination and the government's response to COVID-19 did not affect the university students’desire to receive the vaccination.These findings are essential for health policymakers and healthcare providers to implement evidence-based interventions to increase COVID-19 vaccination uptake among university students.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In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.
文摘The aim of this paper is to analyze how some specific factors can impact on attitudes towards usage(ATU),and effect on behavioral intention(BI),when the potential medical tourist carries out the medical tourist destination information sourcing process.Specifically,we considered electronic word of mouth communication(eWOM),trust(TRT),perceived usefulness(PU),and perceived ease of use(PEOU).The data were collected from 698 experienced users participating in a tourism thematic Facebook group.The results state that being social media an effective channel to share contents among users,the more expert users are more influenced in the behavioural intention of choosing medical tourism destinations and trust is the variables with the strongest influence on attitude,which affects users’behavioural intention towards the use of Facebook to find information on medical tourism destination.These results contribute to the scientific debate on users’behavior in utilizing social media to find information for a medical tourism destination and provide support to the marketing and communication strategies of medical tourism practitioners.
文摘The purpose of this study is to understand the effect of tourists’ perception of destination image and service quality on their behavioral intention. A total of 1020 valid questionnaires were collected from tourists in Lukang Town, Taiwan, by means of convenient sampling. After descriptive statistics and PLS statistical analysis, the results show that: 1) Tourists’ image of Lukang town has a positive effect on their perceived service quality. In addition, it also has a positive effect on future travel behavior intention;2) The service quality of tourists in Lukang has a positive effect on their future travel behavior intention. 3) This study also finds that service quality has a mediating effect on tourism behavior intention. Finally, based on the results of the study, suggestions for future research and tourism planning are put forward.
基金This study was supported by a grant from the Projects of the National Natural Science Foundation of China(No.72074053)National Science Innovation Project of Fudan University(No.10246130).
文摘Brand experience is essential in shaping the competitive advantage and sustainability of theme park attractions.Using Shanghai Disneyland as a reference case,this study examined the relationships among brand experience,perceived value,satisfaction,and behavioral intention.And their relationship is the key point for the sustainable development of theme park market.This study constituted the relationship path theory mode of hypothesis between brand experience,perceived value,satisfactory,behavior intention.The key findings of this study revealed that the brand experience of theme park has significant positive impact on perceived value and satisfaction.In that,thoughts have no significant impact on emotional value and societal value.Similarly,functional experience has no significant impact on recreational value.Subsequently,perceived value has significant positive impact on satisfaction.And lastly,satisfaction has significant positive impact on tourist behavioral intention.The findings of this study may offer constructive bases to the management of Shanghai Disneyland and other theme park attractions of similar nature in formulating policies and marketing strategies.
基金the Grant of China National Natural Science Foundation(No.72074053).
文摘Under the influence of celebrity effect and para-social interaction,film is increasingly able to induce viewers’willingness to travel.Based on the theory of para-social interaction and the factors of place attachment,this study constructs a model of the influence mechanism of film-induced tourists’behavioral intention and puts relevant hypotheses.Taking the film A Little Red Flower as an example,the empirical test is carried out by using structural equation model(SEM).The results show that:(1)Film-induced tourists’emotional involvement has a significant positive impact on tourism behavioral involvement,but has no direct and significant impact on place dependence and place identity.(2)Film-induced tourists’behavioral involvement has a significant positive impact on place dependence and place identity.(3)Both place dependence and place identity of film-induced tourists have significant positive impact on tourism behavioral intention.Therefore,film tourism destinations should show the unique local conditions and customs according to the preference of fans and audiences,with the help of the popularity of film,so as to improve their tourism behavior intention.
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.
文摘WEEE(Waste Electrical and Electronic Equipment),also called e-waste,has become the world’s fastest-growing waste stream but only has a 17.4%recycling rate according to the Global E-waste Monitor 2020.The collection rate for sWEEE(Small WEEE),e.g.,used mobile phones,is even lower than 10%due to stockpiling at home and improper disposal via the general waste or private informal channels.The purpose of this paper was to(a)review how the TPB(Theory of Planned Behavior)was applied in the literature related to consumer behavioral intention for WEEE recycling and determine the most significant TPB predictors by comparing their standardized influence coefficients across various studies,and(b)identify additional behavior determinants specific to sWEEE recycling and thus develop a new TPB-sWEEE theoretical framework by integrating the TPB model with these new determinants in order to improve the predictability of consumers’sWEEE recycling behavioral intention.This paper reviewed over 30 peer-reviewed studies from Scopus and high impact factor journals and led to the following three key findings:(a)More variables of recycling behavioral intention determinants such as the size of WEEE need to be considered;(b)Eight sWEEE-specific behavioral determinants have been identified and included in the newly developed TPB-sWEEE model,including consumers’Sentimental Attachment,Data Security Concern,Economic Incentives,and How-to Knowledge;(c)For some sWEEE-specific determinants,their extent of influence differs across various regions and countries.This paper contributes to the sWEEE-specific consumer recycling behavior theoretical framework to fill the existing gap in the literature and provides recommendations through the new model for research-based behavioral intervention strategies and policy designs globally.
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 Social Science Fund of Hebei Province (Grant No.:HB15TQ019)
文摘Purpose: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationships to a user's intentions.Design/methodology/approach: Based on technology acceptance model(TAM), network externality, trust, and an interview survey, this study proposes a personal cloud storage adoption model. We conducted an empirical analysis by structural equation modeling based on survey data obtained with a questionnaire.Findings: Among the adoption factors we identified, network externality has the salient influence on a user's adoption intention, followed by perceived usefulness, individual innovation, perceived trust, perceived ease of use, and subjective norms. Cloud storage characteristics are the most important indirect factors, followed by awareness to personal cloud storage and perceived risk. However, although perceived risk is regarded as an important factor by other cloud computing researchers, we found that it has no significant influence. Also, subjective norms have no significant influence on perceived usefulness. This indicates that users are rational when they choose whether to adopt personal cloud storage.Research limitations: This study ignores time and cost factors that might affect a user's intention to adopt personal cloud storage.Practical implications: Our findings might be helpful in designing and developing personal cloud storage products, and helpful to regulators crafting policies.Originality/value: This study is one of the first research efforts that discuss Chinese users' personal cloud storage adoption, which should help to further the understanding of personal cloud adoption behavior among Chinese users.
文摘This study evaluates the mediation role of taxpayer egoism in the nexus between tax evasion intention(TEI)and its determinants.TEI is measured as a composite variable(for mediation in the PROCESS macro)and then as a latent variable(for mediation in Analysis of Moment Structure Software AMOS).Further,the stringent assumptions of mediation analysis by Baron and Kenny(Strategic,and Statistical Considerations 51:1173-1182,1986)are challenged via assertions by Hayes(Introduction to Mediation,Moderation and Conditional Process Analysis:A Regression-Based Approach,The Guilford Press,2018).The proxies for TEI are the respondents'ethical attitudes toward taxation Determinants of tax evasion intention are grouped into perceived behavioral control attitude and subjective norms as per theory of planned behavior(TPB)and extant literature.The detailed variables adopted from the literature include tax awareness,tax information,tax complexity,perceived power of authority,tax morals,tax fairness,and trust in government.A totalof 151 responses were collected Mediation analysis was done via bootstrapping in the PROCESS macro and through AMOS.A plethora of studies focus on determinants of tax evasion,tax compliance and their intentions However,none combine analysis via the two tools highlighted.Further,few challenge the old way of conducting mediation analysis The data provide statistical support for egoism's mediation in the effect of four determinants on tax evasion intention.It further confirms that many of the old preconditions for mediation are unnecessary given modern-day bootstrapping analysis.Insight into determinants of TEI and egoism have been provided However,this study uses cross-sectional data Future studies must use longitudinal data or experimental manipulation to infer more specific effects.
文摘Vaccination is crucial in controlling the spread of the coronavirus disease 2019(COVID-19)that triggered the pandemic,but herd immunity can only work with high vaccination coverage in the population.This study aims to measure the COVID-19 knowledge level and determine the factors influencing COVID-19 vaccination intention among university students in Malaysia.A cross-sectional online survey was carried out with 1,274 Malaysian university students in July 2021.Univariate and multivariate analyses were employed to examine the relationships between the study variables.Results showed that the majority of university students had an acceptable level of knowledge of COVID-19.The knowledge,risk perception of COVID-19,social norms,and perceived benefit of COVID-19 vaccination were positively associated with vaccination intention.However,perceived trust in information sources of COVID-19 vaccination and the government's response to COVID-19 did not affect the university students’desire to receive the vaccination.These findings are essential for health policymakers and healthcare providers to implement evidence-based interventions to increase COVID-19 vaccination uptake among university students.