Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This...Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.展开更多
Given the growing importance of social media in digital rural development, this study systematically investigated the influence pathways of social media use among rural women in China, drawing on the Technology Accept...Given the growing importance of social media in digital rural development, this study systematically investigated the influence pathways of social media use among rural women in China, drawing on the Technology Acceptance Model(TAM). Employing quantitative research methods, the study conducted empirical tests based on 367 valid questionnaires using Partial Least Squares Structural Equation Modeling(PLS-SEM) via SmartPLS 4.0 software. Results indicate that significant associations exist between perceived ease of use, perceived usefulness, attitudes toward use, behavioral intention, and actual usage behavior. Specifically, the study finds that rural women's perceived ease of use of social media has a significant and positive influence on both perceived usefulness and attitudes toward use. Perceived usefulness further significantly promotes attitudes toward use and behavioral intention. Moreover, positive attitudes toward usage and strong behavioral intentions were effectively converted into actual social media usage behaviors. This study not only validates the applicability and explanatory power of the TAM model in understanding the digital behavior of Chinese rural women but also provides quantitative evidence for how social media enhances their “digital visibility.” These findings offer practical insights for governments and platform providers to optimize user experiences and strengthen digital skills training. Despite its limitations, including a cross-sectional design and a regional sample, this research holds significant theoretical and practical implications.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
This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrain...This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrained Transformer)in performing banking services.To assess the study objectives,this research integrates two well-established technology models,namely,the Task-Technology Fit(TTF)Model and the Technology Acceptance Model(TAM).This study employed a quantitative research approach and utilized a survey-based questionnaire to collect primary data from banking customers.We analyzed a total of 424 valid responses via the partial least squares structural equation modeling(PLS-SEM)approach for the results and estimations.The results of this study indicate that the TTF and TAM have a positive and significant effect on customers’intention to adopt ChatGPT in banking services.Additionally,this research revealed that ChatGPT knowledge plays a significant role as a moderator in predicting user intentions toward ChatGPT adoption.Our findings provide unique insights into the contemporary concept of AI-enabled technology adoption in the banking sector.This study highlights various aspects of the theoretical and managerial implications for managers and academicians.Theoretically,this study provides an in-depth analysis by integrating the TTF with an extended TAM.Practically,the findings of this study enhance strategic planning and informed decisions in the banking sector regarding the use of ChatGPT.This study also assumes that this is the first attempt in the Pakistani banking sector to analyze customer intentions to adopt ChatGPT in their banking transactions.Finally,our study limitations provide a discussion forum for subsequent studies that adapt or imitate our methodology in other demographics or countries.This will encourage the development of AI technologies in financial companies.展开更多
The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepanc...The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepancies across countries,including individual and country factors.It may be superficially posited that this lag in development stems from individual or microlevel usage challenges.However,the application of the Technology Acceptance Model highlights the presence of overarching characteristics conducive to extensive adoption.Thus,an additional stratum,the multilevel perspective,needs to be examined.This analytical framework incorporates not only individual attributes but also the sociotechnical framework or mesolevel factors in which they operate.A multilevel econometric model is used.The results of these analyses show that the impact on the adoption of cashless payments extends beyond individual factors(attitude to technology use,perceived usefulness,and perceived ease of use).Our primary contribution,conceptually and empirically,is to broaden the analysis vision.A comprehensive multilevel analysis revealed that broader contextual elements,such as infrastructure and national skills,exert a significant influence on the adoption of cashless transactions.Consequently,the widespread acceptance of cashless payment methods is not only contingent on individual choices but is also a collective phenomenon in which the surrounding environment plays a crucial role as a catalyst for the end users in the cashless economy.展开更多
The Master Intelligent interview is based on the Stimulus-Organism-Response(SOR)theory,this study integrates key constructs from the Technology Acceptance Model(TAM)and the Theory of Planned Behavior(TPB),namely attit...The Master Intelligent interview is based on the Stimulus-Organism-Response(SOR)theory,this study integrates key constructs from the Technology Acceptance Model(TAM)and the Theory of Planned Behavior(TPB),namely attitude and behavioral intention,to develop a dual-path model of how AI empowerment influences college graduates’acceptance of intelligent interview technology.Taking AI empowerment as the independent variable,perceived risk and attitude as mediating variables,and behavioral intention as the outcome variable,the study employs questionnaire surveys and structural equation modeling(SEM)for empirical analysis.The results show that AI empowerment exerts a significant positive impact on attitude,perceived risk,and behavioral intention.Both perceived risk and attitude play significant mediating roles between AI empowerment and behavioral intention.Interestingly,perceived risk does not suppress behavioral intention;instead,it positively promotes it through a“rational trade-off”mechanism.Moreover,perceived risk and attitude form a significant chain-mediated pathway,revealing a continuous psychological transmission mechanism of“rational cognition-emotional adjustment-behavioral decision-making”.This study enriches the theoretical framework of AI technology acceptance,extends the application of the SOR model to the context of intelligent recruitment,and provides valuable implications for optimizing university career guidance and enterprise recruitment systems.展开更多
The advancement of generative AI has reshaped EFL education,particularly in EFL writing.This qualitative case study investigates the perceptions of Chinese college students and EFL teachers towards the integration of ...The advancement of generative AI has reshaped EFL education,particularly in EFL writing.This qualitative case study investigates the perceptions of Chinese college students and EFL teachers towards the integration of Gen AI in EFL writing.The research involved semi-structured interviews with 13 students and 10 EFL teachers.Thematic analysis,guided by the Technology Acceptance Model(TAM),was employed to analyze the qualitative data.The findings reveal the perceptions of students and teachers regarding the role of generative AI in EFL writing.Regarding usefulness,students appreciate Gen AI for reducing writing difficulty and enhancing efficiency,though some note that it may produce logical flaws and misinformation.Teachers share similar perceptions,but stress effectiveness depends on students’language level.Some teachers also advocate traditional writing initially to build foundational skills.On the ease of use,most students find it easy interacting with Gen AI but mention dialogical understanding challenges.Both students and teachers stress clear prompts are crucial,indicating“AI interaction literacy”should be part of teaching.Moreover,teachers worry that Gen AI’s ease of use may lead to over-reliance.These results reveal contradicting goals of using Gen AI:students value efficiency,while teachers focus on ability cultivation.These insights guide more effective integration of Gen AI in EFL writing education.展开更多
This study investigates the adoption of carbon footprint tracking apps(CFAs)among Thai millennials,a critical element in addressing climate change.CFAs have yet to gain significant traction among users despite offerin...This study investigates the adoption of carbon footprint tracking apps(CFAs)among Thai millennials,a critical element in addressing climate change.CFAs have yet to gain significant traction among users despite offering personalized missions.Employing an extended Technology Acceptance Model(TAM)framework,we examine factors influencing CFA adoption intentions based on a sample of 30 environmentally conscious Thai millennials.Our findings indicate that perceived ease of use and enjoyment are crucial drivers of CFA adoption.Trust significantly impacts perceived usefulness,while enjoyment influences perceived ease of use.The study underscores the importance of user experience(UX)and enjoyment in driving adoption,highlighting the need for intuitive interfaces and engaging features.This research provides comprehensive insights into CFA adoption in Thailand by integrating TAM with external trust and perceived enjoyment factors.These findings offer valuable guidance for app developers,policymakers,and marketers,emphasizing the critical role of user experience and fun in fostering widespread CFA adoption.We discuss implications for stakeholders and suggest directions for future research,including larger-scale studies and cross-cultural comparisons within Southeast Asia.This research contributes to SDG 13(Climate Action)and SDG 12(Responsible Consumption and Production).展开更多
According to a BBC report,2016 marked the year when virtual reality(VR)transitioned from concept to reality1.VR has emerged in various fields and is highly effective in many ways.The implementation of VR technology in...According to a BBC report,2016 marked the year when virtual reality(VR)transitioned from concept to reality1.VR has emerged in various fields and is highly effective in many ways.The implementation of VR technology in teaching and learning has gradually become popular.Through the 3D realistic learning environment,learners are immersed in the virtual environment.Language education needs to create an immersive English learning environment and atmosphere.Therefore,in order to understand the substantial benefits of integrating VR into English language acquisition,this research will adopt the VR teaching materials to Freshman English Courses.For students who will participate in the use of VR technology to learn English,the pre-test,post-test,and surveys will be analyzed.Through the analysis of questionnaire data,explore whether the VR model is effective in enhancing learning interest and motivation,and evaluate the effectiveness of enhancing language ability learning.This research is based on the Technology Acceptance Model,using Pivot Report and SPSS software to analyze the results of the tests.Pearson correlation coefficient analysis will be also adopted to explore the three aspects of the usage of VR:(a)Does VR really work for enhancing learning motivation and interest?;(b)To explore the feasibility of VR in the educational field analyzed by the Technology Acceptance Model(TAM,Technology Acceptance Model);and(c)Learning effectiveness of the participants.The results of this research will provide references for language teachers who would like to implement innovative teaching,enrich teaching materials,and enhance learning effectiveness.展开更多
This study constructs a theoretical and analytical framework for examining the interplay between the information environment and autonomous English learning by integrating Zimmerman’s self-regulated learning theory w...This study constructs a theoretical and analytical framework for examining the interplay between the information environment and autonomous English learning by integrating Zimmerman’s self-regulated learning theory with the Technology Acceptance Model(TAM).This integrated framework reveals the underlying connections between learners’self-regulatory processes and their acceptance of technological tools.Using vocational college students as the target popula-tion,this study employs both quantitative and qualitative methods to investi-gate the roles of the information environment,autonomous learning behaviors,learning psychology,and cross-cultural communication competence.The results demonstrate that the information environment significantly and positively influences both autonomous learning behaviors and learning psychology.Furthermore,cross-cultural communication competence is found to mediate this relationship.On the basis of these findings,several strategies are proposed:educational institutions should enhance intelligent resource databases and promote the develop-ment of AI-assisted learning systems;educators are encouraged to strengthen their competence in digital instructional design;and learners should be supported in improving their metacognitive strategies and ability to integrate technological tools effectively.展开更多
The integration of Learning Management Systems(LMSs)into educational settings is becoming increasingly common,especially in the digital field.Understanding the factors influencing the acceptance and effective use of L...The integration of Learning Management Systems(LMSs)into educational settings is becoming increasingly common,especially in the digital field.Understanding the factors influencing the acceptance and effective use of LMS is essential to ensure successful implementation.The Technology Acceptance Model(TAM)has been widely used to check user acceptance of various technologies,including LMS.This study conducted a systematic literature review(SLR)to analyze existing research on the application of TAM in the context of LMS.A comprehensive search of the academic database was conducted to identify relevant studies published in 2010-2025.The review synthesizes findings related to the core constructs of TAM—Perceived Usability,Perceived Ease of Use,Behavioral Intent,and Actual Use—as well as extended factors such as system quality,self-efficacy,and social influence.The results reveal circumstantial evidence supporting the predictive power of TAM in LMS adoption,while also highlighting emerging trends and gaps in the literature.This review contributes to a deeper understanding of user acceptance in a digital learning environment and provides recommendations for future research and practical LMS implementation strategies.展开更多
In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology a...In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective factors.The analysis is based on data collected from Chinese urban residents.Among objective factors,age has a significant negative impact on women's perceived behavior control and a significant positive impact on perceived ease of use.Education has a significant positive impact on men's perceived behavior control,and has a strong positive impact on women's perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior control.Among subjective factors,perceived ease of use(PEU)has the greatest influence on women's behavior intention,and it is the only influential factor for women's intention to use autonomous driving technology,with an influence coefficient of 0.72.The influencing path of men's intention to use autonomous driving technology is more complex.It is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.展开更多
The popularity of self-service technologies,particularly in the banking industry,more precisely with electronic banking channel services,has undergone a major change as individuals’lifestyles develop.This change has ...The popularity of self-service technologies,particularly in the banking industry,more precisely with electronic banking channel services,has undergone a major change as individuals’lifestyles develop.This change has affected individuals’decisions about accepting any new Information Technology,and Information Communications Technology services that are electronically mediated,for example,E-Banking channel services.This study investigates the effect of Individual Factors on User Behaviour,and the moderating role of Trust in the relationship between Individual Factors,and User Behaviour based on the Unified Theory of Acceptance and Use of Technology.This research proposes a model,with a second-order components research framework.It improves current explanations of the acceptance of electronic banking channel services.Furthermore,this study highlights the role of trust on the acceptance of electronic banking channel services,which is the most crucial consideration in customers’decisions to accept electronic banking channels services.Thus,trust is the spine of the system in the Kurdistan Region of Iraq.Data were collected using an online questionnaire that received 476 valid responses from academic staff who work at the University of Sulaimani.The model tested data using the Partial Least Squares-Structural Equation Modelling approach.The results show that Individual Factors have a positive effect on User Behaviour.Besides,results show that trust moderates the relationship between Individual Factors and User Behaviour.展开更多
In this study, we aim to understand the characteristics of online group-buying consumers and to investigate salient factors which influence the continuance intention of online group-buying platforms （OGBP） to bridge...In this study, we aim to understand the characteristics of online group-buying consumers and to investigate salient factors which influence the continuance intention of online group-buying platforms （OGBP） to bridge this knowledge gap. An expectation-confirmation model of information systems （IS） continuance is adapted to construct a research model in online group-buying contexts. A total of 289 complete and valid responses were collected. Our findings contribute to academics and practitioners in two ways： Firstly, our respondents show that they are young （93% of the respondents＇ ages range between 19 and 28 years old）, female （88% of the respondents）, and thrifty （82% of the respondents＇ transaction amounts are below US$16）. Secondly, based on our results, price performance expectations have a direct impact on confirmation. In addition, in contrast to the IS continuance model （Bhattacherjee, 2001）, the effect of perceived usefulness on satisfaction is not supported. Thus, in online group-buying settings, confirmation is the key antecedent of satisfaction. Satisfaction and perceived usefulness are significantly associated with OGBP continuance intention. Consequently, in addition to offering a wide assortment of merchandise and a convenient online shopping experience to enhance customers＇ perceived usefulness of OGBP, OGBP managers should aim low-price marketing strategies at this female, young, thrifty and price-sensitive segment to transcend consumers＇ price expectations and attract consumers＇ continued intention to visit OGBP.展开更多
Private shopping sites （PSSs） business model is developing rapidly both in the world and in Turkey since 2000s. However, studies related consumer attitudes towards private shopping sites in Turkey are limited in the...Private shopping sites （PSSs） business model is developing rapidly both in the world and in Turkey since 2000s. However, studies related consumer attitudes towards private shopping sites in Turkey are limited in the literature. So, the main aim of this paper is revealing variables that affect attitudes of PSSs customers in Turkey and conceptualizing these variables within the scope of a model that depends on Technology Acceptance Model （TAM） In this descriptive study, research population includes all of the consumers who made at least one shopping from PSSs in Turkey and ＂snowball sampling method＂ is used. In consequence of an online survey application 409 questionnaires are analyzed. As a result of regression analysis, all of the 14 hypotheses are accepted. In conclusion all of the variables in the model （product quality, delivery service, system quality, information quality, service quality, perceived usefulness, perceived ease of use, compatibility, privacy, and security） have significant relations with consumer attitudes. The most important variables in building positive attitudes towards PSSs are perceived usefulness and compatibility. Conversely the lowest variance prediction percentage belongs to privacy variable.展开更多
Our modern society is facing major challenges such as reducing world hunger by increasing protein resources despite an increase in protein demands due to the presence of more and more human beings on the earth. Other ...Our modern society is facing major challenges such as reducing world hunger by increasing protein resources despite an increase in protein demands due to the presence of more and more human beings on the earth. Other challenges include reducing potential environmental degradation due to human activities and also due to livestock. In addition to that, some people are concerned by reducing potential discomfort of animals on modern farms or maybe avoiding killing animals to eat them.展开更多
Systematic Review and Meta-analysis are techniques which attempt to associate the findings from similar studies and deliver quantitative summaries of the research literature [1]. The Systematic review of research...Systematic Review and Meta-analysis are techniques which attempt to associate the findings from similar studies and deliver quantitative summaries of the research literature [1]. The Systematic review of research literature identifies the common research methods, research design, sample size, parameters used, survey instruments, etc. used by the group of researchers. This study intends to fulfill this purpose in order to identify common research mythologies, dependent variables, sample sizes, moderators and mediators used in the field of analysing technology adoption based studies that utilizes the UTAUT2 model. This research collected over 59 published articles and conducted descriptive analytics. The results have revealed performance expectancy/perceived usefulness, trust and habit as the best predictors of consumer behavioural intentions towards the adoption of mobile application. Behavioural intention was the best predictor of use behaviour among the 57 articles selected. 274 was the mean sample size of research with 25 mean questionnaire items. SPSS and AMOS were the most common softwares used in all 57 studies, and 32 of those studies used UTAUT1 model while 14 researches incorporated the UTAUT2 model. There were also two promising predictors such as perceived risk on behavioural intention and habit on use behaviour.展开更多
Firms need cloud computing adoption for strategic and competitive goals, generating business value, and at last gaining competitive advantage. This study reviews the literature regarding cloud computing and IT governa...Firms need cloud computing adoption for strategic and competitive goals, generating business value, and at last gaining competitive advantage. This study reviews the literature regarding cloud computing and IT governance, and presents a research model along with its hypotheses formulation to examine the factors impacting cloud computing perceived importance in several Arab firms, specifically Jordan, Saudi Arabia and United Arab Emirates by using the integration of Technology Acceptance Model (TAM) model and Technology-Organizational-Environmental (TOE) framework as adapted from [1]. 329 returned surveys from top, middle-level IT managers, and IT employees from the operational level of the studied firms were analyzed using the structural equation modeling technique. The study found relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for impacting cloud computing adoption using perceived ease of use and perceived usefulness as mediating variables. The model explained 61%, 63%, and 74% of cloud computing adoption for perceived usefulness, perceived ease of use and perceived importance respectively.展开更多
Location Based Navigation System (LBNS) is a specific Location Based Service (LBS) purely for navigational purpose. These systems resolve position of a user by using GNSS/GPS positioning technologies, to which supplem...Location Based Navigation System (LBNS) is a specific Location Based Service (LBS) purely for navigational purpose. These systems resolve position of a user by using GNSS/GPS positioning technologies, to which supplementary information on goods and services are tagged. The navigation services have become popular and can be installed on mobile phones to provide route information, location of points of interest and user’s current location. LBS has continued to face challenges which include “communication” process towards user reference. Location Based Service System conveys suitable information through a mobile device for effective decision making and reaction within a given time span. This research was geared at understanding the state of LBS technology acceptance and adoption by users in Nairobi Kenya. To do this a quantitative study was carried out through a questionnaire, to investigate mobile phone users’ response on awareness and use of LBS technology. Testing the growth of this technology in this region compared to predictions in previous studies using Technology Acceptance Model (TAM), it is evident that many users may be aware of GPS functionality in mobile phones but are certainly yet to fully embrace the technology as they rarely use it. This points to some underlying challenges towards this technology within this part of the World, thereby recommending for deliberate monitoring and evaluation of LBS technology for sustenance growth based on user satisfaction and acceptance for improved usability.展开更多
文摘Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.
文摘Given the growing importance of social media in digital rural development, this study systematically investigated the influence pathways of social media use among rural women in China, drawing on the Technology Acceptance Model(TAM). Employing quantitative research methods, the study conducted empirical tests based on 367 valid questionnaires using Partial Least Squares Structural Equation Modeling(PLS-SEM) via SmartPLS 4.0 software. Results indicate that significant associations exist between perceived ease of use, perceived usefulness, attitudes toward use, behavioral intention, and actual usage behavior. Specifically, the study finds that rural women's perceived ease of use of social media has a significant and positive influence on both perceived usefulness and attitudes toward use. Perceived usefulness further significantly promotes attitudes toward use and behavioral intention. Moreover, positive attitudes toward usage and strong behavioral intentions were effectively converted into actual social media usage behaviors. This study not only validates the applicability and explanatory power of the TAM model in understanding the digital behavior of Chinese rural women but also provides quantitative evidence for how social media enhances their “digital visibility.” These findings offer practical insights for governments and platform providers to optimize user experiences and strengthen digital skills training. Despite its limitations, including a cross-sectional design and a regional sample, this research holds significant theoretical and practical implications.
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This study aims to understand the implementation of artificial intelligence(AI)-enabled technology in banking from a user perspective.For this purpose,we examine customer intention to adopt ChatGPT(Generative Pretrained Transformer)in performing banking services.To assess the study objectives,this research integrates two well-established technology models,namely,the Task-Technology Fit(TTF)Model and the Technology Acceptance Model(TAM).This study employed a quantitative research approach and utilized a survey-based questionnaire to collect primary data from banking customers.We analyzed a total of 424 valid responses via the partial least squares structural equation modeling(PLS-SEM)approach for the results and estimations.The results of this study indicate that the TTF and TAM have a positive and significant effect on customers’intention to adopt ChatGPT in banking services.Additionally,this research revealed that ChatGPT knowledge plays a significant role as a moderator in predicting user intentions toward ChatGPT adoption.Our findings provide unique insights into the contemporary concept of AI-enabled technology adoption in the banking sector.This study highlights various aspects of the theoretical and managerial implications for managers and academicians.Theoretically,this study provides an in-depth analysis by integrating the TTF with an extended TAM.Practically,the findings of this study enhance strategic planning and informed decisions in the banking sector regarding the use of ChatGPT.This study also assumes that this is the first attempt in the Pakistani banking sector to analyze customer intentions to adopt ChatGPT in their banking transactions.Finally,our study limitations provide a discussion forum for subsequent studies that adapt or imitate our methodology in other demographics or countries.This will encourage the development of AI technologies in financial companies.
基金Euskal Herriko Unibertsitatea(UPV/EHU)ECRI Ethics in Finance&Social Value GIU22/003Fundacion Emilio Soldevilla para la Investigacion y el Desarrollo en Economia de la Empresa(FESIDE)BOPV2020.
文摘The use of electronic currency for transactions,denoting a cashless paradigm,has become increasingly common.However,this financial innovation is not prevalent in all countries.This study aims to explain the discrepancies across countries,including individual and country factors.It may be superficially posited that this lag in development stems from individual or microlevel usage challenges.However,the application of the Technology Acceptance Model highlights the presence of overarching characteristics conducive to extensive adoption.Thus,an additional stratum,the multilevel perspective,needs to be examined.This analytical framework incorporates not only individual attributes but also the sociotechnical framework or mesolevel factors in which they operate.A multilevel econometric model is used.The results of these analyses show that the impact on the adoption of cashless payments extends beyond individual factors(attitude to technology use,perceived usefulness,and perceived ease of use).Our primary contribution,conceptually and empirically,is to broaden the analysis vision.A comprehensive multilevel analysis revealed that broader contextual elements,such as infrastructure and national skills,exert a significant influence on the adoption of cashless transactions.Consequently,the widespread acceptance of cashless payment methods is not only contingent on individual choices but is also a collective phenomenon in which the surrounding environment plays a crucial role as a catalyst for the end users in the cashless economy.
基金The 2025 Guizhou University of Finance and Economics University-level Project“Research on the‘Action-Learning’Strategy of Artificial Intelligence in Complex Tasks”(Project No.:2025BAZYSY287)。
文摘The Master Intelligent interview is based on the Stimulus-Organism-Response(SOR)theory,this study integrates key constructs from the Technology Acceptance Model(TAM)and the Theory of Planned Behavior(TPB),namely attitude and behavioral intention,to develop a dual-path model of how AI empowerment influences college graduates’acceptance of intelligent interview technology.Taking AI empowerment as the independent variable,perceived risk and attitude as mediating variables,and behavioral intention as the outcome variable,the study employs questionnaire surveys and structural equation modeling(SEM)for empirical analysis.The results show that AI empowerment exerts a significant positive impact on attitude,perceived risk,and behavioral intention.Both perceived risk and attitude play significant mediating roles between AI empowerment and behavioral intention.Interestingly,perceived risk does not suppress behavioral intention;instead,it positively promotes it through a“rational trade-off”mechanism.Moreover,perceived risk and attitude form a significant chain-mediated pathway,revealing a continuous psychological transmission mechanism of“rational cognition-emotional adjustment-behavioral decision-making”.This study enriches the theoretical framework of AI technology acceptance,extends the application of the SOR model to the context of intelligent recruitment,and provides valuable implications for optimizing university career guidance and enterprise recruitment systems.
文摘The advancement of generative AI has reshaped EFL education,particularly in EFL writing.This qualitative case study investigates the perceptions of Chinese college students and EFL teachers towards the integration of Gen AI in EFL writing.The research involved semi-structured interviews with 13 students and 10 EFL teachers.Thematic analysis,guided by the Technology Acceptance Model(TAM),was employed to analyze the qualitative data.The findings reveal the perceptions of students and teachers regarding the role of generative AI in EFL writing.Regarding usefulness,students appreciate Gen AI for reducing writing difficulty and enhancing efficiency,though some note that it may produce logical flaws and misinformation.Teachers share similar perceptions,but stress effectiveness depends on students’language level.Some teachers also advocate traditional writing initially to build foundational skills.On the ease of use,most students find it easy interacting with Gen AI but mention dialogical understanding challenges.Both students and teachers stress clear prompts are crucial,indicating“AI interaction literacy”should be part of teaching.Moreover,teachers worry that Gen AI’s ease of use may lead to over-reliance.These results reveal contradicting goals of using Gen AI:students value efficiency,while teachers focus on ability cultivation.These insights guide more effective integration of Gen AI in EFL writing education.
文摘This study investigates the adoption of carbon footprint tracking apps(CFAs)among Thai millennials,a critical element in addressing climate change.CFAs have yet to gain significant traction among users despite offering personalized missions.Employing an extended Technology Acceptance Model(TAM)framework,we examine factors influencing CFA adoption intentions based on a sample of 30 environmentally conscious Thai millennials.Our findings indicate that perceived ease of use and enjoyment are crucial drivers of CFA adoption.Trust significantly impacts perceived usefulness,while enjoyment influences perceived ease of use.The study underscores the importance of user experience(UX)and enjoyment in driving adoption,highlighting the need for intuitive interfaces and engaging features.This research provides comprehensive insights into CFA adoption in Thailand by integrating TAM with external trust and perceived enjoyment factors.These findings offer valuable guidance for app developers,policymakers,and marketers,emphasizing the critical role of user experience and fun in fostering widespread CFA adoption.We discuss implications for stakeholders and suggest directions for future research,including larger-scale studies and cross-cultural comparisons within Southeast Asia.This research contributes to SDG 13(Climate Action)and SDG 12(Responsible Consumption and Production).
文摘According to a BBC report,2016 marked the year when virtual reality(VR)transitioned from concept to reality1.VR has emerged in various fields and is highly effective in many ways.The implementation of VR technology in teaching and learning has gradually become popular.Through the 3D realistic learning environment,learners are immersed in the virtual environment.Language education needs to create an immersive English learning environment and atmosphere.Therefore,in order to understand the substantial benefits of integrating VR into English language acquisition,this research will adopt the VR teaching materials to Freshman English Courses.For students who will participate in the use of VR technology to learn English,the pre-test,post-test,and surveys will be analyzed.Through the analysis of questionnaire data,explore whether the VR model is effective in enhancing learning interest and motivation,and evaluate the effectiveness of enhancing language ability learning.This research is based on the Technology Acceptance Model,using Pivot Report and SPSS software to analyze the results of the tests.Pearson correlation coefficient analysis will be also adopted to explore the three aspects of the usage of VR:(a)Does VR really work for enhancing learning motivation and interest?;(b)To explore the feasibility of VR in the educational field analyzed by the Technology Acceptance Model(TAM,Technology Acceptance Model);and(c)Learning effectiveness of the participants.The results of this research will provide references for language teachers who would like to implement innovative teaching,enrich teaching materials,and enhance learning effectiveness.
文摘This study constructs a theoretical and analytical framework for examining the interplay between the information environment and autonomous English learning by integrating Zimmerman’s self-regulated learning theory with the Technology Acceptance Model(TAM).This integrated framework reveals the underlying connections between learners’self-regulatory processes and their acceptance of technological tools.Using vocational college students as the target popula-tion,this study employs both quantitative and qualitative methods to investi-gate the roles of the information environment,autonomous learning behaviors,learning psychology,and cross-cultural communication competence.The results demonstrate that the information environment significantly and positively influences both autonomous learning behaviors and learning psychology.Furthermore,cross-cultural communication competence is found to mediate this relationship.On the basis of these findings,several strategies are proposed:educational institutions should enhance intelligent resource databases and promote the develop-ment of AI-assisted learning systems;educators are encouraged to strengthen their competence in digital instructional design;and learners should be supported in improving their metacognitive strategies and ability to integrate technological tools effectively.
文摘The integration of Learning Management Systems(LMSs)into educational settings is becoming increasingly common,especially in the digital field.Understanding the factors influencing the acceptance and effective use of LMS is essential to ensure successful implementation.The Technology Acceptance Model(TAM)has been widely used to check user acceptance of various technologies,including LMS.This study conducted a systematic literature review(SLR)to analyze existing research on the application of TAM in the context of LMS.A comprehensive search of the academic database was conducted to identify relevant studies published in 2010-2025.The review synthesizes findings related to the core constructs of TAM—Perceived Usability,Perceived Ease of Use,Behavioral Intent,and Actual Use—as well as extended factors such as system quality,self-efficacy,and social influence.The results reveal circumstantial evidence supporting the predictive power of TAM in LMS adoption,while also highlighting emerging trends and gaps in the literature.This review contributes to a deeper understanding of user acceptance in a digital learning environment and provides recommendations for future research and practical LMS implementation strategies.
基金The National Key Research and Development Program of China(No.2018YFB1601304)the National Natural Science Foundation of China(No.71871107)Philosophy and Social Science Foundation Project of Universities in Jiangsu Province(No.2020SJA2059).
文摘In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective factors.The analysis is based on data collected from Chinese urban residents.Among objective factors,age has a significant negative impact on women's perceived behavior control and a significant positive impact on perceived ease of use.Education has a significant positive impact on men's perceived behavior control,and has a strong positive impact on women's perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior control.Among subjective factors,perceived ease of use(PEU)has the greatest influence on women's behavior intention,and it is the only influential factor for women's intention to use autonomous driving technology,with an influence coefficient of 0.72.The influencing path of men's intention to use autonomous driving technology is more complex.It is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.
文摘The popularity of self-service technologies,particularly in the banking industry,more precisely with electronic banking channel services,has undergone a major change as individuals’lifestyles develop.This change has affected individuals’decisions about accepting any new Information Technology,and Information Communications Technology services that are electronically mediated,for example,E-Banking channel services.This study investigates the effect of Individual Factors on User Behaviour,and the moderating role of Trust in the relationship between Individual Factors,and User Behaviour based on the Unified Theory of Acceptance and Use of Technology.This research proposes a model,with a second-order components research framework.It improves current explanations of the acceptance of electronic banking channel services.Furthermore,this study highlights the role of trust on the acceptance of electronic banking channel services,which is the most crucial consideration in customers’decisions to accept electronic banking channels services.Thus,trust is the spine of the system in the Kurdistan Region of Iraq.Data were collected using an online questionnaire that received 476 valid responses from academic staff who work at the University of Sulaimani.The model tested data using the Partial Least Squares-Structural Equation Modelling approach.The results show that Individual Factors have a positive effect on User Behaviour.Besides,results show that trust moderates the relationship between Individual Factors and User Behaviour.
文摘In this study, we aim to understand the characteristics of online group-buying consumers and to investigate salient factors which influence the continuance intention of online group-buying platforms （OGBP） to bridge this knowledge gap. An expectation-confirmation model of information systems （IS） continuance is adapted to construct a research model in online group-buying contexts. A total of 289 complete and valid responses were collected. Our findings contribute to academics and practitioners in two ways： Firstly, our respondents show that they are young （93% of the respondents＇ ages range between 19 and 28 years old）, female （88% of the respondents）, and thrifty （82% of the respondents＇ transaction amounts are below US$16）. Secondly, based on our results, price performance expectations have a direct impact on confirmation. In addition, in contrast to the IS continuance model （Bhattacherjee, 2001）, the effect of perceived usefulness on satisfaction is not supported. Thus, in online group-buying settings, confirmation is the key antecedent of satisfaction. Satisfaction and perceived usefulness are significantly associated with OGBP continuance intention. Consequently, in addition to offering a wide assortment of merchandise and a convenient online shopping experience to enhance customers＇ perceived usefulness of OGBP, OGBP managers should aim low-price marketing strategies at this female, young, thrifty and price-sensitive segment to transcend consumers＇ price expectations and attract consumers＇ continued intention to visit OGBP.
文摘Private shopping sites （PSSs） business model is developing rapidly both in the world and in Turkey since 2000s. However, studies related consumer attitudes towards private shopping sites in Turkey are limited in the literature. So, the main aim of this paper is revealing variables that affect attitudes of PSSs customers in Turkey and conceptualizing these variables within the scope of a model that depends on Technology Acceptance Model （TAM） In this descriptive study, research population includes all of the consumers who made at least one shopping from PSSs in Turkey and ＂snowball sampling method＂ is used. In consequence of an online survey application 409 questionnaires are analyzed. As a result of regression analysis, all of the 14 hypotheses are accepted. In conclusion all of the variables in the model （product quality, delivery service, system quality, information quality, service quality, perceived usefulness, perceived ease of use, compatibility, privacy, and security） have significant relations with consumer attitudes. The most important variables in building positive attitudes towards PSSs are perceived usefulness and compatibility. Conversely the lowest variance prediction percentage belongs to privacy variable.
文摘Our modern society is facing major challenges such as reducing world hunger by increasing protein resources despite an increase in protein demands due to the presence of more and more human beings on the earth. Other challenges include reducing potential environmental degradation due to human activities and also due to livestock. In addition to that, some people are concerned by reducing potential discomfort of animals on modern farms or maybe avoiding killing animals to eat them.
文摘Systematic Review and Meta-analysis are techniques which attempt to associate the findings from similar studies and deliver quantitative summaries of the research literature [1]. The Systematic review of research literature identifies the common research methods, research design, sample size, parameters used, survey instruments, etc. used by the group of researchers. This study intends to fulfill this purpose in order to identify common research mythologies, dependent variables, sample sizes, moderators and mediators used in the field of analysing technology adoption based studies that utilizes the UTAUT2 model. This research collected over 59 published articles and conducted descriptive analytics. The results have revealed performance expectancy/perceived usefulness, trust and habit as the best predictors of consumer behavioural intentions towards the adoption of mobile application. Behavioural intention was the best predictor of use behaviour among the 57 articles selected. 274 was the mean sample size of research with 25 mean questionnaire items. SPSS and AMOS were the most common softwares used in all 57 studies, and 32 of those studies used UTAUT1 model while 14 researches incorporated the UTAUT2 model. There were also two promising predictors such as perceived risk on behavioural intention and habit on use behaviour.
文摘Firms need cloud computing adoption for strategic and competitive goals, generating business value, and at last gaining competitive advantage. This study reviews the literature regarding cloud computing and IT governance, and presents a research model along with its hypotheses formulation to examine the factors impacting cloud computing perceived importance in several Arab firms, specifically Jordan, Saudi Arabia and United Arab Emirates by using the integration of Technology Acceptance Model (TAM) model and Technology-Organizational-Environmental (TOE) framework as adapted from [1]. 329 returned surveys from top, middle-level IT managers, and IT employees from the operational level of the studied firms were analyzed using the structural equation modeling technique. The study found relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for impacting cloud computing adoption using perceived ease of use and perceived usefulness as mediating variables. The model explained 61%, 63%, and 74% of cloud computing adoption for perceived usefulness, perceived ease of use and perceived importance respectively.
文摘Location Based Navigation System (LBNS) is a specific Location Based Service (LBS) purely for navigational purpose. These systems resolve position of a user by using GNSS/GPS positioning technologies, to which supplementary information on goods and services are tagged. The navigation services have become popular and can be installed on mobile phones to provide route information, location of points of interest and user’s current location. LBS has continued to face challenges which include “communication” process towards user reference. Location Based Service System conveys suitable information through a mobile device for effective decision making and reaction within a given time span. This research was geared at understanding the state of LBS technology acceptance and adoption by users in Nairobi Kenya. To do this a quantitative study was carried out through a questionnaire, to investigate mobile phone users’ response on awareness and use of LBS technology. Testing the growth of this technology in this region compared to predictions in previous studies using Technology Acceptance Model (TAM), it is evident that many users may be aware of GPS functionality in mobile phones but are certainly yet to fully embrace the technology as they rarely use it. This points to some underlying challenges towards this technology within this part of the World, thereby recommending for deliberate monitoring and evaluation of LBS technology for sustenance growth based on user satisfaction and acceptance for improved usability.
