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Cyberfraud knows no boundaries and increases with the emergence of technology adoption. The remarkable rise of cybercrime and its catastrophic consequences pose a significant threat to financial institutions in India. Existing literature proves that banks are most affected among other sectors due to their resilience on the Internet, particularly e-Banking platforms. This study incorporates cybersecurity knowledge and awareness with the Technology Acceptance Model (TAM) to examine the association to usage intention among e-Banking users in India. Co-variance-based structural equation modelling (CB-SEM) was used to analyse the sample size of 428 responses. The findings suggested that e-Banking users' cybersecurity knowledge and awareness positively influence e-Banking usage intention. Users' behavioural protection is influenced by knowledge and awareness. It was also observed that cybersecurity knowledge, awareness, and behavioural choice protection were consistent with TAM theory. Emerging cyberfraud has become a significant challenge in accepting e-banking platforms. The structural model suggests that cybersecurity awareness among e-Banking users against cyberfraud could help safeguard users' bank accounts and positively influence usage intention. Cybersecurity awareness must be taught to e-Banking users to counter rising cyberfraud incidents. [ABSTRACT FROM AUTHOR]

AbstractAugmented Reality Head-Up Display (AR-HUD) is designed to engender immersive experiences and possess vast potential in enhancing vehicular safety. In the context of advancing digital technologies, the intention to use such innovations represents a significant field of study. Drawing on the Perceived Value Theory and the Stimulus-Organism-Response (S-O-R) framework, this study formulates a model to evaluate user intentions regarding the use of automotive Augmented Reality Head-Up Display (AR-HUD). This model integrates design elements, including user interface attractiveness, sense of presence, controllability, and responsiveness, along with perceived utilitarian and hedonic values. Through Structural Equation Modeling (SEM) of 230 valid questionnaire results, the analysis identifies both utilitarian and hedonic values as pivotal in influencing AR-HUD adoption, with utilitarian value being preeminent. Additionally, it is evidenced that design attributes influence the usage intention via perceived utilitarian and hedonic values. Consequently, this study presents design strategies for auto manufacturers and designers aimed at amplifying the advantages of AR-HUD, thus fostering greater user adoption willingness. [ABSTRACT FROM AUTHOR]

The study aims to determine the factors affecting the usage intention of AI technology in the hospitality and tourism sector in Malaysia. It also investigates the mediating effect of self-efficacy within some relationships. This is a quantitative study applying a cross-sectional online survey technique. The target population consisted of tourists seeking for services from the tourism and hospitality industry in Malaysia. Data was collected from 250 respondents using a survey questionnaire and analysed by applying a structural equation model using the AMOS 21 version. The results indicate that accuracy experience, insight experience, and interactive experience between trust in AI and eWOM engagements are significant respectively, except for the relationship between interactive experience and eWOM. Likewise, the outcome indicates that trust in AI has a significant positive relationship between usage intention and eWOM, while eWOM significantly and positively influences usage intention. In addition, this study found that word-of-mouth mediates the association between accuracy experience and trust in AI. The results show that self-efficacy moderates the association between accuracy experience and trust in AI. [ABSTRACT FROM AUTHOR]

The rising concentration of greenhouse gases has created various environmental challenges. Carbon footprint tracking applications are designed to encourage individual-level energy conservation and emission reduction. These applications have significant potential for widespread adoption. This study combines the Unified Theory of Acceptance and Use of Technology with the Norm Activation Model to form a comprehensive research framework. Partial Least Squares Structural Equation Modeling is used to analyze key factors. These factors include performance expectancy, effort expectancy, social influence, awareness of consequences, ascription of responsibility, and personal norms. The aim is to explore their impact on the intention to use carbon footprint tracking applications. The results show that performance expectancy, effort expectancy, social influence, and personal norms significantly affect usage intention. Performance expectancy is the strongest predictor. Social influence and personal norms emphasize the role of external social factors and moral obligations in shaping user behavior. Additionally, ascription of responsibility has a stronger mediating effect on usage intention than awareness of consequences. This study offers insights into how factors from the Unified Theory of Acceptance and Use of Technology and the Norm Activation Model influence user intentions. It also provides practical recommendations for businesses and policymakers to promote the use of carbon footprint tracking applications.

Objective: This study aims to develop and empirically test a derivation of the Technology Acceptance Model (TAM) on the acceptance of electric vehicles (EV). Theoretical Approach/Method: The analysis was based on an original theoretical model adapted from the TAM, a theory based on information systems that models how users start to accept and use a given piece of technology. An online questionnaire applied to graduate students in Brazil was used, and the answers were analyzed using structural equations. The final sample consisted of 209 graduate students from three universities in Brazil. The data collection instrument was validated by Confirmatory Factor Analysis. For the hypothesis test, path analysis was used. Results: The results indicated a positive relationship between the intentions of use of electric vehicles and the perceptions about Ease of Use, Green Utility, and Potential Infrastructure Readiness. The results also showed that there is no evidence of a direct positive relationship between the Environmental Concern factor and the intention to use EVs. Theoretical and managerial contributions: The original theoretical model proposed and tested here contributes to the TAM theory. By studying factors that stimulate or encourage the purchase intention and potential consumer behavior of EVs in the Brazilian market, it contributes to future management and governmental policies in this segment. Relevance/Originality: The theoretical model adds original factors to the TAM, to explain the acceptance of EVs. [ABSTRACT FROM AUTHOR]

The study of students' willingness to use translation technology can motivate students to use the translation technology and improve their translation efficiency. This paper reports on a survey which collected 716 valid questionnaires from students in the Master-level Program in Translation and Interpreting. Structural equation modeling (SEM) was used to assess the influence of six potential variables on Master of Translation and interpreting(MTI)usage intention. The results show that perceived usefulness (PU), perceived ease of use (PEOU), subjective norm (SN) and translation technology self-efficacy (TTSE) have a significant positive influence on usage intention (UI), and perceived ease of use and perceived usefulness have significant mediating effects. Additionally, self-efficacy has a marginal or no influence at all on perceived usefulness, and flow experience (FE) has no effect on usage intention. Suggestions for future studies in the area of translation technology teaching are proposed based on the results and limitations of this study. These findings contribute to the promotion of the use of translation technology by master of Translation and interpreting at universities, which is expected to provide a beneficial research foundation for the teaching of translation technology. [ABSTRACT FROM AUTHOR]

Objective To understand the willingness to use pre - exposure prophylaxis (PrEP) among MSM in Guiyang, explore related factors, so as to provide reference for promoting PrEP in Guiyang and Guizhou Province, Methods Two social organizations in Guiyang were recruited among MSM from gay bars, WeChat groups and other social venues and the Internet by convenient sampling method from April to June, 2022. Questionnaires were collected using the a Wen Juan Xing" platform, the contents of the survey included demographic information, behavioral characteristics, knowledge of PrEP, the willingness to use PrEP and so on. Univariate analysis of the willingness to use PrEP was used Chi - square test, logistics regression was carried out to analyze the multiple - factors related to the willingness to use PrEP. Taking the willingness to use PrEP as the dependent variable, univariate and multivariate logistics regression was carried out to analyze the factors related to the willingness to use PrEP. Results 608 valid questionnaires were collected. A total of 146 people (24.0%) knew about PrEP, 216 people (35. 5%) had used PrEP before, and 525 people (86. 3%) were willing to use PrEP if they had high - risk behaviors. The results of multivariate analysis showed that non - Guiyang resident (OR = 3. 09, 95% Cf: 1.42 - 6. 73), living in Guiyang for 7 - 12 months (OR = 5. 12, 95% CI2 25 - 11. 65) and more than 1 year (OR = 4. 19, 95% CI: 1, 85 - 9. 49), employed (OR = 17. 05, 95% CI: 4, 14 - 70. 26), unemployed (OR =6. 29, 95% C/: L 18 - 33. 59), tested for HIV in the last 1 year (OR = 3. 77, 95% Cl: 1. 70 - 8. 38), those who had previously used PrEP (OR = 15. 85, 95% CI: 5. 12 - 49. 11) and aware of PrEP (OR = 4. 82, 95% CI: 1.88 - 12.38) were more likely to use PrEP. Conclusion The MSM population surveyed in Guiyang has a low awareness rate of PrEP, higher willingness to use PrEP, and relative factors, develop targeted measures to promote knowledge about PrEP according to relative factors, so as to improve the knowledge of PrEP, confidence and willingness to use PrEP. Promote the use of PrEP in the context of comprehensive AIDS prevention and control, such as the use of condoms, to reduce the risk of HIV infection. [ABSTRACT FROM AUTHOR]

This research aimed to propose a structural model of determinant factors to explain and predict the interactive kiosk adoption in the museum. To achieve this, we identified the determinant factors and examine the relationship between the identified determinant factors towards the usage intention. Based on the multi-level selection, the interactive kiosk in the National Music Museum of Malaysia was selected as a case study this explanatory research. A quantitative analysis using the Partial Least Square-Structural Equation Modelling procedure has been employed on 277 samples with two major assessments: outer and inner model assessments. Based on the empirical data evidence, this research proposed a structural model capable of explaining and predicting the interactive kiosk adoption in the museum. The research findings are significant to the museum authority, technology provider, or design practitioner to enhance interactive kiosk adoption in the future. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to investigate the neural mechanism by which virtual chatbots' gender might influence users' usage intention and gender differences in human-machine communication. Approach: Event-related potentials (ERPs) and subjective questionnaire methods were used to explore the usage intention of virtual chatbots, and statistical analysis was conducted through repeated measures ANOVA. Results/findings: The findings of ERPs revealed that female virtual chatbots, compared to male virtual chatbots, evoked a larger amplitude of P100 and P200, implying a greater allocation of attentional resources toward female virtual chatbots. Considering participants' gender, the gender factors of virtual chatbots continued to influence N100, P100, and P200. Specifically, among female participants, female virtual chatbots induced a larger P100 and P200 amplitude than male virtual chatbots, indicating that female participants exhibited more attentional resources and positive emotions toward same-gender chatbots. Conversely, among male participants, male virtual chatbots induced a larger N100 amplitude than female virtual chatbots, indicating that male participants allocated more attentional resources toward male virtual chatbots. The results of the subjective questionnaire showed that regardless of participants' gender, users have a larger usage intention toward female virtual chatbots than male virtual chatbots. Value: Our findings could provide designers with neurophysiological insights into designing better virtual chatbots that cater to users' psychological needs. [ABSTRACT FROM AUTHOR]

In an era where user experience reigns supreme, an unexpected element is subtly influencing our interactions with technology--"Cuteness." However, when discussing the design of digital products such as AIVAs, is cuteness merely a matter of appearance? This paper aims to unveil the complex psychological mechanisms and their impact on usage intention hidden behind the seemingly harmless allure of cuteness. Through an experimental study involving 284 participants and utilizing a moderated serial mediation model via PLS-SEM, this research reveals how aesthetic design differences influence usage intentions. The findings disclose three key insights: (1) A positive relationship between cuteness and usage intention is confirmed; (2) Social presence, performance expectancy and customer value act as serial mediations between cuteness and usage intention; (3) Perceived risk moderates the impact of cuteness on usage intentions by influencing social presence, performance expectancy, hedonic value and functional value. This contributes theoretical insights and practical guidance for the sustainable development and success of AIVAs. [ABSTRACT FROM AUTHOR]

The present article delves into the realm of ubiquitous technologies, specifically focusing on the continued usage intention of location-based services (LBS). It integrates various theoretical frameworks to develop a comprehensive model that truly encompasses the factors that impact this phenomenon. The proposed model is based on the Awareness System Acceptance Model by Zweig and Webster (2002), with the addition of various relevant variables: LBS characteristics, privacy concerns, and expectation-confirmation elements. By exploring the many aspects of the LBS ecosystem, this research aims to bridge the gap in understanding the post-adoption context of ubiquitous technologies. Future studies on this subject will utilize this model. [ABSTRACT FROM AUTHOR]

Copyright of Publishing Journal is the property of Wuhan University, School of Information Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Featured Application: Shopee, SmartPLS 3. With the rapid growth of Augmented Reality (AR) in e-commerce, it is necessary to conduct in-depth studies related to the integration of AR with Artificial Intelligence (AI) technology to improve personalization in product recommendations. AI and AR are expected to work together, where AI systems analyze consumer data to provide more suitable product recommendations, while AR helps consumers visualize these recommendations in the real world. This research explores the influence of AI and AR technology integration in personalized recommendations on customer usage intention, with a focus on the cosmetics industry on the e-commerce platform Shopee. Adopting the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this research uses quantitative methods with the try-on feature of cosmetic products as the main focus. With a total number of 387 respondents, the results of the PLS-SEM analysis revealed factors impacting the intention to use, such as perceived ease of use, perceived usefulness, and users' perceived trust, on the intention to use personalized recommendations. This research contributes to the understanding of AI–AR technology acceptance in the context of online shopping, particularly in the cosmetics sector. [ABSTRACT FROM AUTHOR]

Mobile health apps, particularly personal health records (PHRs), play a vital role in healthcare digitalization. However, the varying governance approaches for providing PHR platforms have led to a growing debate on the adequate regulation of health technology with regard to their adoption. This article investigates how provider governance, whether public or private, influences users' intentions to use and decisions to download a PHR app. Drawing on institutional trust, privacy calculus, and privacy control frameworks, the study develops hypotheses about how provider governance affects the pathways through which trust influences users' intentions to adopt the app. Data acquired from an online experiment in the German market reveals that users exhibit a higher level of trust in public providers compared to the same app provided by private companies. Furthermore, provider governance significantly alters the paths in how trust influences usage intentions through perceived benefits, perceived risks, and privacy control. These findings contribute to the development of a sectoral theory of privacy calculus and privacy control in Information Systems (IS). Moreover, they offer practical insights for healthcare regulators and health app providers with the aim of promoting the acceptance and usage of PHRs and other mobile health apps. [ABSTRACT FROM AUTHOR]

This study aimed to comprehend the perceptions and intentions of Generation Z consumers in India regarding the utilization of digital coupons, adopting the framework of the technology acceptance model. Through purposive sampling, 386 participants from Generation Z were selected to offer diverse perspectives, reflecting the significant influence of demographics on contemporary consumer behavior. An online survey was conducted across India, utilizing popular social networking applications, such as WhatsApp, LinkedIn, and Facebook, to distribute the online questionnaire as these platforms have widespread usage and accessibility among the target demographic. Structural equation modeling (SEM) was used to examine the relationships between the constructs. The study revealed that perceived ease of use had no significant impact on the attitudes toward digital coupons (p > 0.05). However, a strong positive relationship was observed between perceived usefulness and ease of use (β = 0.542, p ≤ 0.05). Similarly, perceived usefulness positively influenced attitudes toward digital coupons (β = 0.484, p ≤ 0.05), as did attitudes toward usage intention (β = 0.746, p ≤ 0.05). The relationships between attitude and perceived ease of use (β = –0.093, p ≤ 0.05) and attitude and usage intention (β = –0.124, p ≤ 0.05) were moderated by digital coupon proneness. Insights derived from this study hold substantial relevance for marketers aiming to effectively engage Generation Z through digital couponing strategies. AcknowledgmentThe authors are thankful to their respective universities, heads of departments, and others who have supported and contributed to the effective conduct of this study.

Purpose – Although the sharing economy improves comfort and convenience, it is yet unclear how it affects subjective well-being. This study aims to offer a conceptual model for understanding the linkages between the antecedents and consequences of subjective well-being in ridehailing services. Design/methodology/approach – Using a non-probabilistic sampling method and a pre-tested survey instrument, 450 responses were collected from January to March 2020. The data were analysed using structural equation modelling. Findings – Experience quality and perceived convenience are correlated with subjective well-being. Perceived value and personal innovativeness were not correlated with subjective well-being, as the former does not contribute to the latter’s development. Continuous usage intention significantly correlated with subjective well-being, followed by customer relationship proneness and advocacy. Regarding gender and age differences, men place higher value on customer relationship proneness than women, while women place higher value on subjective well-being than men. Older users value perceived convenience and customer relationship proneness in ridehailing services more than younger users. Practical implications – Understanding key factors contributing to user well-being in ridehailing would promote a more affordable mobility sector globally. This understanding would enable ridehailing businesses to create more effective business and marketing plans while prioritising user well-being, thus enhancing user happiness and reducing turnover rates. Originality/value – This research demonstrates how crucial it is for users’ well-being to have a positive experience and find the service convenient. It also highlights the importance of building strong customer relationships and examines how gender and age influence people’s adoption and use of these services. Propósito – Aunque la economía colaborativa mejora la comodidad y conveniencia, aún no está claro cómo afecta al bienestar subjetivo. Ofrecemos un modelo conceptual para comprender las conexiones entre los antecedentes y consecuencias del bienestar subjetivo en los servicios de transporte compartido. Diseño/metodología/enfoque – Utilizando un método de muestreo no probabilístico y un instrumento de encuesta previamente probado, se recopilaron 450 respuestas entre enero y marzo de 2020. Los datos fueron analizados utilizando un modelo de ecuaciones estructurales. Hallazgos – La calidad de la experiencia y la percepción de conveniencia están correlacionadas con el bienestar subjetivo. El valor percibido y la innovación personal no se correlacionaron con el bienestar subjetivo, ya que el primero no contribuye al desarrollo del último. La intención de uso continuo se correlacionó significativamente con el bienestar subjetivo, seguida por la propensión a las relaciones con los clientes y la defensa de estos servicios. En cuanto a las diferencias de género y edad, los hombres valoran más la propensión a las relaciones con los clientes que las mujeres, mientras que las mujeres valoran más el bienestar subjetivo que los hombres. Los usuarios mayores valoran más la percepción de conveniencia y la propensión a las relaciones con los clientes en los servicios de transporte compartido que los usuarios más jóvenes. Originalidad – Esta investigación demuestra lo crucial que es para el bienestar de los usuarios tener una experiencia positiva y encontrar el servicio conveniente. También resalta la importancia de construir relaciones sólidas con los clientes y examina cómo el género y la edad influyen en la adopción y uso de estos servicios. Implicaciones prácticas – Comprender los factores clave que contribuyen al bienestar de los usuarios en los servicios de transporte compartido promovería un sector de movilidad más asequible a nivel global. Esta comprensión permitiría a las empresas de transporte compartido crear planes de negocios y marketing más efectivos, priorizando el bienestar de los usuarios y mejorando así su felicidad y reduciendo las tasas de rotación. 目的 – 尽管共享经济提高了舒适度和便利性, 但它如何影响主观幸福感尚不清楚。我们提供了一个概念模型, 用于理解乘车服务中主观幸福感的前因后果之间的联系。 设计/方法/途径 – 采用非概率抽样方法和预先测试的调查工具, 在 2020 年 1 月至 3 月期间收集了 450 份回复。数据采用结构方程模型进行分析。 研究结果 – 体验质量和感知便利性与主观幸福感相关。感知价值和个人创新性与主观幸福感不相关, 因为前者无助于后者的发展。持续使用意愿与主观幸福感密切相关, 其次是客户关系倾向和拥护。在性别和年龄差异方面, 男性比女性更重视客户关系倾向, 而女性比男性更重视主观幸福感。老年用户比年轻用户更重视乘车服务中的便利感和客户关系代言。 独创性 – 这项研究表明, 用户获得积极的体验和便捷的服务对他们的福祉至关重要。研究还强调了建立牢固的客户关系的重要性, 并探讨了性别和年龄如何影响人们采用和使用这些服务。 实际意义 – 了解有助于提高乘车旅行用户幸福感的关键因素, 将在全球范围内推动建立一个更加经济实惠的移动出行行业。这种理解将使打车企业能够制定更有效的业务和营销计划, 同时优先考虑用户福祉, 从而提高用户幸福感并降低流失率。

Asif Ali Safeer,1 Iqbal Hussain,2 Muhammad Abrar,2 Rizwan Shabbir2 1Business School, Huanggang Normal University, Huanggang, People’s Republic of China; 2Lyallpur Business School, Government College University Faisalabad PakistanCorrespondence: Rizwan Shabbir, Jinnah Block, Lyallpur Business School, Government College University, Faisalabad, Pakistan, Email rizwanshabbir@gcuf.edu.pkPurpose: Retail businesses have been seeing dramatic changes in the last decades. It has evolved from single-channel retailing to omnichannel retailing, providing a seamless shopping experience to customers. Customers armed with modern technology are creating challenges for retailers and forcing them to create an omnichannel environment. So, implementing an omnichannel retailing strategy is a big challenge for retail managers in the age of modern technologies. Retailers could evaluate consumers’ usage intention of omnichannel retailing based on technological and psychological factors. However, research based on psychological factors is limited in the prevailing literature on omnichannel retailing. Based on the Motivational Model (MM) and Big-Five Factors (BFF) of personality traits, the study tried to fill the gap regarding the influence of psychological factors on omnichannel usage intention.Methods: A sample of 724 respondents through a structured questionnaire from a developing economy. The target population of the current study was internet users, as they might be prospective Omni shoppers in the near future. Relationships were tested through Structural Equation Modeling (SEM) with AMOS 23.Results: Results revealed that personality traits directly correlate with omnichannel usage intention, while motivations (intrinsic and extrinsic) partially mediate these relationships. Moreover, the results of the current study also revealed that the personality traits extraversion, agreeableness, and conscientiousness are vital antecedents of behavioral intention. Intrinsic and extrinsic motivations positively impact consumers’ usage intention, while extrinsic motivation partially mediates intrinsic motivation and consumers’ usage intention. Additionally, full mediation prevails in the association of consumers’ usage intention and personality traits (emotional stability and Openness to experiences).Originality: The domino effects provide a solid theoretical milestone in understanding the phenomenon of omnichannel retailing strategy and facilitates marketing managers to design channel strategies for emerging economics.Keywords: omnichannel retailing, big-five personality traits, extrinsic motivation, intrinsic motivation, usage intention

AI has become increasingly relevant to the media sector, especially for news media companies considering the integration of this technology into their production processes. While the application of AI promises productivity gains, the impact on consumers’ perceptions of the resulting news and the level of AI integration accepted by the market has not been well studied. Our research focused on the analysis of news consumers’ preferred level of AI integration, AI news trust, and AI news usage intentions linked to the application of the technology in the discovery/information-gathering and writing/editing phases. By connecting a comprehensive set of factors influencing the perception of news and AI, we approached this gap through structural equation modeling, presenting an overview of consumers’ responses to AI integration into news production processes. Our research showed that while participants generally prefer lower levels of AI integration into both phases of production, news trust and usage intention can even increase as AI enters the production process—as long as humans remain in the lead. These findings provide researchers and news media managers with a first overview of consumers’ responses to news production augmentation and its implications for news perception in the market.

This work aims to investigate the cultural and psychological factors that significantly affect teachers' intention to accept VR technology and use it long-term in their classes in elementary and secondary schools. The extended unified theory of acceptance and use of technology (UTAUT2) model effectively measured such factors in this context. We conducted a questionnaire survey with 351 elementary and secondary school teachers in four provinces in China and analyzed their responses utilizing Partial Least Squares (PLS) technique. The results of this work showed that performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation significantly impacted continued usage intention. However, the habit did not promote continued usage intention. Based on the results, research on VR classroom application guidance and teachers' professional development with VR technology applications should be strengthened. Meanwhile, increasing the publicity of integrating VR technology into classroom teaching, creating a favorable climate for VR technology adoption, and enhancing the fun of VR technology can also contribute to teachers' continued VR technology usage intention in classroom teaching. [ABSTRACT FROM AUTHOR]

This study examined the development of users' behavioural intentions to visit sports venues when using AR-based content using the stimulus-organism-response model. The study centred on individuals who had experienced the AR-based content at Gocheuk Sky Dome. This study presents a structural model that illustrates the connections between three attributes of Augmented Reality (AR)-interactivity, vividness, and novelty (stimulus)-and their influence on the flow experience. This, in turn, affects the intention to depend on AR-based content for visiting a sports venue. A survey was conducted to evaluate the model, targeting young visitors in their 20s and 30s who are knowledgeable about AR technology. The study's findings indicate that novelty had the greatest influence on flow, followed by vividness, while interactivity did not show any significant impact. Flow had a significant impact on all four experiences: education, entertainment, aesthetics, and escapism. The positive impact on the intention to visit AR-based sports venues was observed only in relation to entertainment and education experiences. The role of consumer cultural innovativeness was examined as a moderator in the proposed structure model for visiting AR-based sports venues. These insights offer valuable information for the development of AR-based content in countries with culturally significant tourist destinations for sports enthusiasts. They also guide destination marketers in promoting AR in the tourism industry. [ABSTRACT FROM AUTHOR]

This study was conducted to demonstrate the factors that influence Vietnamese students' acceptance of YouTube for educational purposes. Qualitative and quantitative research methods are combined to test the research hypotheses. Research data was collected using quota sampling, with a sample size of 306 students studying at universities in Vietnam. Structural equation modeling (SEM) helps demonstrate that five factors positively affect the intention to use YouTube for student learning needs. These factors include performance expectancy, effort expectancy, hedonic motivation, social influence, and flexibility. Furthermore, research has demonstrated the positive impact of intentional use on the behavioral usage of YouTube for the educational requirements of Vietnamese students. The study provides a valuable reference for educational administrators and researchers. [ABSTRACT FROM AUTHOR]

Copyright of Soochow Journal of Economics & Business is the property of Soochow Journal of Economics & Business and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Despite the widespread availability of artificial intelligence (AI) products and services, consumer evaluations and adoption intentions have not met expectations. Existing research mainly focuses on AI's instrumental attributes from the consumer perspective, along with negative impacts of AI failures on evaluations and willingness to use. However, research is lacking on AI as a collaborative agent, investigating the impact of human-AI collaboration on AI acceptance under different outcome expectations. This study examines the interactive effects of human-AI collaboration types (AI-dominant vs. AI-assisted) and outcome expectations (positive vs. negative) on AI product evaluations and usage willingness, along with the underlying mechanisms, from a human-AI relationship perspective. It also investigates the moderating role of algorithm transparency in these effects. Using three online experiments with analysis of variance and bootstrap methods, the study validates these interactive mechanisms, revealing the mediating role of attribution and moderating role of algorithm transparency. Experiment 1 confirms the interactive effects of human-AI collaboration types and outcome expectations on consumer evaluations and usage willingness. Under positive outcome expectations, consumers evaluate and express willingness to use AI-dominant intelligent vehicles with autonomous driving capabilities higher than those with emergency evasion capabilities (AI-assisted). However, under negative outcome expectations, consumers rate autonomous driving capabilities lower compared to emergency evasion capabilities. Experiment 2 examines the mediating role of attribution through ChatGPT's dominant or assisting role under different outcome expectations. Experiment 3 uses a clinical decisionmaking system to study algorithm transparency's moderating role, showing higher transparency improves evaluations and willingness to use AI products and services under negative outcome expectations. Theoretically, this study advances consumer behavior research by exploring the human-AI relationship within artificial intelligence, enhancing understanding of consumer acceptance variations. Practically, it offers insights for better integrating AI products and services into the market. [ABSTRACT FROM AUTHOR]

Technology drives innovation and reform in hospitality education, and Facebook has become a popular educational tool to facilitate students' classroom interactions. Understanding hospitality students' attitudes toward Facebook teaching interventions is important. Based on a survey of 289 undergraduate hospitality students, first, we expand the scope of the technology acceptance model (TAM) in this study, which integrates the two factors of social interaction and information exchange into the research structure. Second, this study also proposes a new moderated mediation model to account for the internal mechanism underlying Taiwanese undergraduate hospitality students' acceptance of Facebook teaching interventions in terms of perceived usefulness and ease of use. We illuminate the foundation of the application of Facebook media technology to teaching in hospitality higher education. The theoretical contributions and educational implications of this research are also discussed. [ABSTRACT FROM AUTHOR]

Copyright of Service Industries Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid growth of Augmented Reality (AR) in e-commerce, it is necessary to conduct in-depth studies related to the integration of AR with Artificial Intelligence (AI) technology to improve personalization in product recommendations. AI and AR are expected to work together, where AI systems analyze consumer data to provide more suitable product recommendations, while AR helps consumers visualize these recommendations in the real world. This research explores the influence of AI and AR technology integration in personalized recommendations on customer usage intention, with a focus on the cosmetics industry on the e-commerce platform Shopee. Adopting the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this research uses quantitative methods with the try-on feature of cosmetic products as the main focus. With a total number of 387 respondents, the results of the PLS-SEM analysis revealed factors impacting the intention to use, such as perceived ease of use, perceived usefulness, and users’ perceived trust, on the intention to use personalized recommendations. This research contributes to the understanding of AI–AR technology acceptance in the context of online shopping, particularly in the cosmetics sector.

Though an increasing number of tourists are experiencing big data-enabled price discrimination, the influence of big data-enabled price discrimination on tourists' continuance usage intention to mobile applications has been largely ignored by existing literature. This is the very first attempt to explore this research topic. Specifically, this paper aims to explore the influence of big data-enabled price discrimination on tourists' continuance usage intention to mobile applications by extending the technology threat avoidance theory (TTAT). One thousand and two valid questionnaires were collected based on purposive and snowball sampling. Structural equation modelling (SEM) method was used to test the proposed the research model. The findings indicated that both perceived price fairness, threat appraisal, and perceived deception have significant impacts on tourists' countenance usage intention to the mobile applications after experiencing big data-enabled price discrimination. Threat appraisal was also found to significantly influence avoidance intention and emotion-focused coping. Moreover, this study revealed that avoidance intention significantly impacts emotion-focused coping, while avoidance intention does not significantly influence tourists' countenance usage intention. Importantly, perceived switching cost moderates two relationships: threat appraisal-continuance usage intention and perceived deception-continuance usage intention. In addition to the theoretical contribution, practical implications are also discussed. [ABSTRACT FROM AUTHOR]

This study aims to determine university students’ continuance intention in using an android-based teaching performance assessment (TPA) application. For the data gathering instrument, we employed an online structured questionnaire. Two hundred and forty students from four faculties were selected and assigned a five-scale survey. All completed questionnaires were analyzed using analysis of moment structure (AMOS). The findings show that the factors of productivity, performance, relevancy, quality and mobility of the android-based TPA have significantly influenced students’ continuance intention to use the application. The results highlighted that when an android-based system was developed based on the criteria, the long-term use of the android-based TPA application can be consistently maintained to improve universities’ teaching quality assessment. However, our study needs to improve in that the university students may evaluate teaching staffs who are not teaching a subject in their class because all teaching staff has appeared in the application database. In addition, further research needs to limit each lecture based on a specific course to be assessed by a particular student’s class. [ABSTRACT FROM AUTHOR]

AI has become increasingly relevant to the media sector, especially for news media companies considering the integration of this technology into their production processes. While the application of AI promises productivity gains, the impact on consumers' perceptions of the resulting news and the level of AI integration accepted by the market has not been well studied. Our research focused on the analysis of news consumers' preferred level of AI integration, AI news trust, and AI news usage intentions linked to the application of the technology in the discovery/information-gathering and writing/editing phases. By connecting a comprehensive set of factors influencing the perception of news and AI, we approached this gap through structural equation modeling, presenting an overview of consumers' responses to AI integration into news production processes. Our research showed that while participants generally prefer lower levels of AI integration into both phases of production, news trust and usage intention can even increase as AI enters the production process—as long as humans remain in the lead. These findings provide researchers and news media managers with a first overview of consumers' responses to news production augmentation and its implications for news perception in the market. [ABSTRACT FROM AUTHOR]

This study aims to examine the public's interest in using m-banking in conventional banks in Sumbawa Regency. The Technology Acceptance Model (TAM) was employed as the underlying framework, and the research was conducted using a field survey method. Data for this study were collected online through convenience sampling using a self-registered questionnaire. The data were analyzed using Structural Equation Modeling (SEM) Partial Least Squares (PLS). The findings indicate significant influences between attitude toward using, perceived ease of use, perceived usefulness, and smartphone self efficacy on m-banking usage intention. Perceived ease of use, perceived usefulness, and user experience have a significant impact on m-banking usage intention. Additionally, smartphone self efficacy also influences the perceived ease of use in m-banking, but it does not have an effect on the perceived usefulness. These findings provide a better understanding of the factors influencing the public's interest in using m-banking in conventional banks in Sumbawa Regency.

The fourth industrial revolution enhanced the development of information technology in all fields and opened up possibilities. A lot of attention is focused on the future possibilities opened up by the metaverse, the core of information technology. Metaverse will have a big impact on reality and the near future. Metaverse is a virtual world that fuses physical and digital reality. Various commerce such as healthcare, instruction, business, and land are foundation to utilize metaverse knowledge in their regular work. There is a series of processes in the stage where newly developed technology is introduced to general users. In order for a new technology to become a user-friendly technology, it is necessary to verify the technology. It can be said that it is hard to derive the operator's usage intention in a state where user trust for new technology is not verified. In the metaverse environment, it is necessary to first verify the trust for new technologies. This study is expected to understand usage intention through the process of checking trust in metaverse, and to become basic data for the popularization of metaverse knowledge. The meaning of this research is to inspect the influence relationship of trust in metaverse on usage intention through Technology Readiness (TR) and Technology Acceptance Model (TAM). Statistical package (SPSS23.0) was used for basic numerical examination of the questionnaire. Hypothesis test was performed using the structural equation package Smart PLS 3.0. Discriminant validity and concentration validity of the questionnaire were verified. As parameters that trust in metaverse effects, TR and TAM were set. As factors constituting TR, it was separated into optimism, innovativeness, discomfort, and insecurity. The TAM is separated into perceived usefulness and perceived ease of use. The outcomes of the study are as follows. First, trust in metaverse had a significant effect on TR. Second, TR was partially adopted in the TAM. Innovativeness and perceived usefulness had no significant effect. Third, TAM significantly influences usage intention. Fourth, perceived ease of use did not significantly influence perceived usefulness.

Social media is the main channel that teenagers use to exchange information. The purpose of this study is to construct a prediction model of school social media usage intention. To collect training data for modeling, we conducted a questionnaire survey on students of a senior high school in Taoyuan City, Taiwan. The training data processing method was decision tree computing. In this study, the decision tree computing software, Weka, was used to analyze the training data to extract the key factors affecting high school students' intentions to use school social media. The research results showed that perceived usefulness was the most important factor affecting school social media usage intentions, and trust was the second most important factor affecting school social media usage intention. The prediction model was proposed in this study to predict students' intentions to use school social media. It serves as a guide for schools to use social media as a channel for distributing important information. [ABSTRACT FROM AUTHOR]

Nowadays, electric vehicle innovation plays an important role in the market, transportation, logistics and supply chain in the electric mobility industry, contributing to environmental protection and reducing pollution. The commercial EV launched in Thailand which has been very popular with consumers, but it is also not widely used, and there are not many market surveys about customer usage intention. Therefore, it is necessary to study seriously. This study explores the impact of the perceived value of electric vehicle (EV) features on consumer usage intention to use electric vehicles in Thailand, with the mediating effect of customer satisfaction. The results showed that perceived value from using EV, consumer satisfaction, and usage intention of EV, there is a significant direct and indirect relationship. These findings have contributions and relevant expected benefits. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to explore the impact of channel integration on usage intention through mobile applications (apps) for customers in grocery retailers. Moreover, the study examines the moderating effect of customer commitment in the model. Design/methodology/approach: Structural equation modeling was conducted on a sample of 536 consumers in Taiwan. Findings: This study found that information integration, marketing integration and operational integration are three significant dimensions of channel integration in grocery retailers. Channel integration positively affects satisfaction and trust, which, in turn, increases usage intention. Moreover, customer commitment significantly moderates the relationships in the model. Research limitations/implications: Sample bias may exist because the sample was obtained from an online survey conducted on social media platforms. Practical implications: This study suggested that practitioners should confidently implement channel integration through mobile apps in stores. They may develop more valuable services connected with different channels or devices to assist customers in buying in-store. To improve customer trust in the service, practitioners can enhance their confidence in using mobile apps in their stores. Moreover, practitioners segment customers based on high and low levels of customer commitment to provide different strategies to increase usage intention in the retailer. Originality/value: This study advanced the extant knowledge of channel integration theory and relationship marketing theory in the context of omnichannel retailing. [ABSTRACT FROM AUTHOR]