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The rise of Central Bank Digital Currency (CBDC) is a crucial development in the evolution of financial systems. The purpose of this study was to investigate Gen-Z's behavioural intention to adopt CBDC in northern India, using the Unified Theory of Acceptance and Use of Technology (UTAUT). The study specifically examined the roles of perceived trust, performance expectancy, and effort expectancy as mediators in the relationships between perceived security, social influence, and attitude. The data was collected from 258 Gen-Z digital payment users in the northern part of India with the help of a well-structured survey questionnaire, using convenience and snowball sampling techniques. In addition, the data analysis was conducted using statistical tools such as SmartPLS 4.0 and SPSS. The results show that despite a non-significant negative influence of effort expectancy on attitude, the overall positive influence of attitude on the behavioural intention to use CBDC was established. The theoretical implications emphasize the contribution of this study to FinTech adoption literature, particularly in the context of CBDC among Gen-Z. Moreover, the study recommends refining theoretical frameworks to accommodate the evolving financial landscape. This study also suggests tailored strategies for policymakers, financial institutions, and businesses to align with Gen-Z's preferences, fostering CBDC acceptance. A few limitations, including the focus on a specific age group and potential selection bias, should be considered when interpreting the results. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships. Design/methodology/approach: Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high. Findings: The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels. Social implications: The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty. Originality/value: This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement. [ABSTRACT FROM AUTHOR]

ABSTRACT Society 5.0, building its foundation on industry 4.0, defines the concept of super smart cities as places where humans can adapt novel technologies such as augmented reality (AR) in their daily lives. AR brought its consumers an immersive and hybrid experience, blurring the boundaries between the real and virtual worlds. This study explores the user adoption of AR, an interactive technology, in the e‐commerce domain in the present era of Society 5.0. This study seeks to address the question of what factors drive the consumer's adoption of AR while shopping online and how security concern and technostress (TS) impact their intention towards its use and its actual usage behaviour. This research offers a novel perspective and fills a gap in the existing literature by integrating consumers' security concerns and TS, previously unexplored factors, in the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The ability of the UTAUT model, over the earlier technology adoption models, to incorporate context‐specific factors makes it significantly relevant for studying AR adoption, a technology blending the virtual and real world. A modified UTAUT‐based questionnaire assessed relevant factors influencing this behaviour. This study employed a quantitative, cross‐sectional survey design to apprehend a broad range of users and to investigate consumer perceptions and adoption of AR in online shopping. Purposive sampling ensured that respondents were aligned with the research context and were knowledgeable about the use of AR in the e‐commerce domain and its relevant applications, thereby strengthening the validity of the study findings. A two‐staged partial least square structural equation modelling–artificial neural network (PLS‐SEM–ANN) data analysis approach was used to determine the study's findings. The meaningful responses collected from 457 respondents were analysed using this targeted approach for in‐depth insights. The synthesis of the study's analysis suggests that personal innovativeness towards information technology and security concerns are critical drivers of intention and actual usage. Interestingly, TS and social influence emerged as non‐significant, indicating a nuanced view of the UTAUT model in this context. A possible explanation for their insignificance lies in the present generation's ability to rapidly adapt to new technologies and make autonomous decisions, reducing reliance on peer influence. By understanding these factors, the research seeks to pave the way for the efficacious integration of AR within the e‐commerce domain. It further emphasizes the significance of consumer resourcefulness, a gap in current research, for bridging the intention‐usage gap. This focus on consumers’ personal innovativeness towards IT, security concerns and consumer resourcefulness provides valuable insights for e‐commerce platforms seeking to drive successful AR adoption. The study explores how well AR will be accepted and used, informing scholarly researchers and businesses on making AR‐integrated online shopping successful. [ABSTRACT FROM AUTHOR]

Purpose: The drone food delivery service (DFDS) is a revolutionary technology owing to its ability to reduce delivery costs, alleviate traffic congestion, and offer a more environmentally friendly alternative compared to traditional delivery methods. While studies have been conducted to understand consumers' intentions towards DFDS, very few of them considered internal factors such as personality traits. Considering the aforementioned factors, this research employs the belief-desire-intention (BDI) model and the big five personalities (BFP) traits to explore how personality traits (neuroticism, extraversion, agreeableness, conscientiousness, and openness) moderate the associations between the desire for DFDS and consumers' intention to use DFDS (ITU). Design/methodology/approach: Survey questionnaires were distributed online via Facebook and WhatsApp. A total of 359 responses were considered valid, and the study employed the partial least squares structural equation modelling approach to test the hypotheses. Findings: The study revealed a positive impact of the desire for DFDS on ITU. Additionally, extraversion and agreeableness were found to moderate the effect of the desire for DFDS on ITU. Originality/value: This study is the first in DFDS literature to employ the BDI model, showcasing its effective application in understanding the desire-to-intention relationship. Also, this is the first study that explores the moderating role of the BFP traits in the context of DFDS usage intention. The results provide insights for developing marketing strategies to encourage DFDS usage intention based on consumers' personality traits. [ABSTRACT FROM AUTHOR]

Mototourism is a kind of tourism that has consistently been overlooked by tourism experts. However, it is currently considered as one of the fastest growing segments of tourism. This is generating and attracting much attention from researchers. Despite the importance of memorable tourism experiences (MTEs) for destinations, no studies have yet assessed this aspect in the motorcycle tourism industry. This paper examines the antecedents and consequences of MTEs in this sector. In this respect, the objective of this research is to explore the concept of mototourism and to propose a structural model with first-order and second-order constructs. To this end, a survey questionnaire was applied to a sample of 457 Spanish motorcycle tourists, and AMOS software was used for the data analysis. The findings show that motivation is an important precursor of MTEs in the mototourism industry. At the same time, the results show that MTEs have an effect on the satisfaction and behavioural intention in this industry. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) is an advanced technology that has a significant impact on tourism and travel worldwide. Drawing on the social cognitive theory (SCT) and theory of planned behaviour (TPB), the current paper examined the effect of consumers' travel fear due to pandemics, wars, and terrorism (TFPWT), their concern about the environmental impact of touristic travel (EITT), and technology anxiety (TA) on their behavioural intention to use VR in tourism and consequently on their willingness to pay premium and electronic word-of-mouth (EWoM). It also analysed the moderating role of venturesomeness. A number of 522 questionnaires from Gen-Y and Gen-Z consumers in Egypt and the covariance-based structural equation modelling (CB-SEM) were used to test the model. The findings showed that consumers' travel fear and their concern regarding the environmental impact of travel have a significant and positive effect on their behavioural intention to use VR in tourism. On contrary, consumers' behavioural intention is significantly and negatively influenced by TA. Consumers' behavioural intention has a significant and positive impact on their willingness to pay premium and EWoM. No significant moderating effect is reported regarding venturesomeness. The research holds significant implications for both theory and practice. [ABSTRACT FROM AUTHOR]

Integrating new teaching technologies in education has transformed the traditional classroom environment, offering innovative methods for teaching and learning. With the rapid advancement in digital tools and platforms, educational institutions are increasingly adopting these technologies to enhance instructional practices, engage students, and improve learning outcomes. Therefore, this research aimed to investigate the higher secondary teachers’ behavioral intention towards adopting new teaching technologies in the context of professional standards and educational leadership. The study adopted a descriptive research design and utilized a quantitative research approach. A standardized questionnaire and a web-based purposive sampling method were used to collect 350 data from higher secondary teachers in Bangladesh. The data was assessed, and the hypotheses were analyzed using a process called partial least squares structural equation modeling (PLS-SEM). The PLS-SEM analysis identified a notable link among perceived ease of use, enjoyment, usefulness, and behavioral intention in the context of professional standards and educational leadership. This study is highly significant for educational institutions and policymakers that aim to enhance teacher job satisfaction and teachers’ quality. Educational technology should feature an interface that is easy to use, engage the user’s interest, and fulfill its intended function efficiently. Furthermore, it is imperative to tailor training programs to aid teachers’ assimilation of the technology. School administrators must enact professional development efforts, encourage the effective use of technology, establish support networks, and provide adaptable solutions to meet the unique needs of instructors. These variables can potentially increase the rate of acceptance and satisfaction with technology in educational institutions.

Abstract This research aimed to explore the factors influencing the behavioural intention to use over-the-counter (OTC) QR codes for purchasing products in Vietnamese supermarkets. The study included 996 consumers and employed a questionnaire-based survey method to test the hypotheses using partial least squares structural equation modelling (PLS-SEM). Drawing on the theory of reasoned action (TRA) and signalling theory, the findings identified five key factors that positively affected the intention to use OTC QR codes: perceived usefulness of OTC QR codes (e.g., for payment and traceability), attitude, customer satisfaction, and supply chain transparency. Additionally, the perceived usefulness of OTC QR codes positively impacted attitude and customer satisfaction, while its usefulness for traceability enhanced supply chain transparency. The study also identified the moderating influence of personal innovativeness on the relationship between perceived usefulness of OTC QR codes for payment and attitude and customer satisfaction. Furthermore, the moderating role of electronic Word-of-Mouth (e-Word-of-Mouth) in the relationship between customer satisfaction, attitude, and behavioural intention was discovered. This research contributes to the existing literature by expanding our understanding of the perceived usefulness of OTC QR codes and elucidating the various mechanisms through which their both functionalities could encourage consumer adoption in the context of Vietnamese supermarkets.

ABSTRACT Aim Design Methods Results Conclusion Impact Patient or Public Contribution This study examines how social influence, human–machine trust and perceived job stress affect nurses' behavioural intentions towards AI‐assisted care technology adoption from a new perspective and framework. It also explores the interrelationships between different types of social influence and job stress dimensions to fill gaps in academic literature.A quantitative cross‐sectional study.Five hospitals in Taiwan that had implemented AI solutions were selected using purposive sampling. The scales, adapted from relevant literature, were translated into Chinese and modified for context. Questionnaires were distributed to nurses via snowball sampling from May 15 to June 10, 2023. A total of 283 valid questionnaires were analysed using the partial least squares structural equation modelling method.Conformity, obedience and human–machine trust were positively correlated with behavioural intention, while compliance was negatively correlated. Perceived job stress did not significantly affect behavioural intention. Compliance was positively associated with all three job stress dimensions: job uncertainty, technophobia and time pressure, while obedience was correlated with job uncertainty.Social influence and human–machine trust are critical factors in nurses' intentions to adopt AI technology. The lack of significant effects from perceived stress suggests that nurses' personal resources mitigate potential stress associated with AI implementation. The study reveals the complex dynamics regarding different types of social influence, human–machine trust and job stress in the context of AI adoption in healthcare.This research extends beyond conventional technology acceptance models by incorporating perspectives on organisational internal stressors and AI‐related job stress. It offers insights into the coping mechanisms during the pre‐adaption AI process in nursing, highlighting the need for nuanced management approaches. The findings emphasise the importance of considering technological and psychosocial factors in successful AI implementation in healthcare settings.No Patient or Public Contribution. [ABSTRACT FROM AUTHOR]

Background Objective Methods Results Conclusions Patient or Public Contribution In China, nursing information systems (NIS) implementation can face numerous barriers to acceptance, including the attitudes of potential users. However, few studies have evaluated this acceptance.The aim of this study was to explain the acceptance of NIS utilizing a survey based on unified theory of acceptance and use of technology.A multi‐center cross‐sectional study utilizing an online survey was conducted. SPSS AMOS was used to conduct a structural equation modelling analysis. This research followed the STROBE Checklist.A total of 3973 Nurses participated in the study between January 2023 and March 2023. The acceptance of NIS among nurses was overall moderate to high. The proposed model has been rigorously tested and validated using empirical data, ensuring its credibility and dependability. Performance expectancy (PE), social influence (SI), and attitude significantly and positively affected intentions to use NIS. Effort expectancy (EE) did not show any significant effects in the sample. Facilitating conditions (FCs) was found to have a negative relationship with the intention to use NIS. There was a statistically significant difference BI between the different age groups, working years, and computer training experience. The model demonstrates a good fit with the observed data.This study identified PE, SI, and attitude as facilitators of nurses' intentions to use NIS. The findings about EE indicates that the ease of using NIS does not seem to be a concern among nurses. Moreover, high FC might be perceived as indicative of a complex system or extensive usage, that can lead to increased workload and reduced behavioural intention (BI). The significant differences in BI among various demographic groups highlight the need for more studies understanding the preferences and barriers faced by different, levels of experience and training backgrounds.No patient or public contribution. [ABSTRACT FROM AUTHOR]

This research aimed to explore the factors influencing the behavioural intention to use over-the-counter (OTC) QR codes for purchasing products in Vietnamese supermarkets. The study included 996 consumers and employed a questionnaire-based survey method to test the hypotheses using partial least squares structural equation modelling (PLS-SEM). Drawing on the theory of reasoned action (TRA) and signalling theory, the findings identified five key factors that positively affected the intention to use OTC QR codes: perceived usefulness of OTC QR codes (e.g., for payment and traceability), attitude, customer satisfaction, and supply chain transparency. Additionally, the perceived usefulness of OTC QR codes positively impacted attitude and customer satisfaction, while its usefulness for traceability enhanced supply chain transparency. The study also identified the moderating influence of personal innovativeness on the relationship between perceived usefulness of OTC QR codes for payment and attitude and customer satisfaction. Furthermore, the moderating role of electronic Word-of-Mouth (e-Word-of-Mouth) in the relationship between customer satisfaction, attitude, and behavioural intention was discovered. This research contributes to the existing literature by expanding our understanding of the perceived usefulness of OTC QR codes and elucidating the various mechanisms through which their both functionalities could encourage consumer adoption in the context of Vietnamese supermarkets. [ABSTRACT FROM AUTHOR]

Taiwan's music festival landscape has blossomed, attracting global music enthusiasts with its cultural richness and diverse offerings. Using structural equation modeling (SEM), a survey of festival-goers revealed the intricate relationships among factors like skill performance, self-congruence, ambiance, and consumer interaction, shaping authenticity, satisfaction, destination loyalty, and behavioral intentions. Interestingly, memory was identified as a moderating role, which interlinking satisfaction, behavioral intentions, and destination loyalty. These findings provide both theoretical insights and practical strategies for enhancing festival experiences and cultivating destination loyalty within Taiwan's thriving music scene. [ABSTRACT FROM AUTHOR]

The application of a central bank digital currency (CBDC) is promising a substantial alteration to the payment system and the provision of a safe, efficient, and inclusive financial system. However, the determinants of individuals' behavioural intentions (BIs) toward using this financial technology are still unclear. Based on the integration of the technology acceptance model and innovation diffusion theory, this study develops a theoretical framework, which was validated through a questionnaire survey undertaken with 344 CBDC users from 10 pilot areas in China. The results suggest that the proposed theoretical framework is powerful for explaining individuals' BIs to use CBDC. Furthermore, the results indicate that perceived usefulness, perceived security, and perceived ease of use, as well as awareness all positively and directly influence individuals' BIs to use CBDC. Although perceived compatibility does not directly influence individuals' BIs to use CBDC, its impact on individuals' BIs to use CBDC is fully mediated by perceived security, perceived usefulness, and perceived ease of use. This study contributes to the CBDC literature by investigating individuals' BIs to use CBDC. This study also offers important practical implications in fostering the application of CBDC. [ABSTRACT FROM AUTHOR]

AbstractAimMethodsResultsConclusions\nIMPLICATIONS FOR REHABILITATIONThe degree to which people with intellectual and visual disabilities can use technology relies on the level of support they receive. However, there is a lack of knowledge about the relationship between the constructs effort expectancy, attitudes, and behavioural intentions of support people (i.e. relatives and healthcare professionals) regarding the use of such technologies for people with intellectual and visual disabilities. The aim of this study was to gain insight into how these constructs are connected and to explore their relationship with support person’s characteristics and the support need levels of people with intellectual and visual disabilities.In total, 186 support people from a Dutch healthcare organisation focusing on people with intellectual and visual disabilities participated in an online questionnaire. We used a regression analysis to explore how the constructs, the characteristics, and the level of support needs were related.Both effort expectancy (β = .35; t(185) = 5.04; p < .001) and attitude (β = .75; t(185) = 15.55; p < .001) of support people were related to the intention to use technologies. The effect of effort expectancy (β = .04; t(177) = .74; p = .462) on the intention to use technologies was mediated through attitude (β = .74; t(177) = 13.28; p < .001). Younger support people scored higher on attitude than older support people.Support people’s effort expectancy and attitude play a significant role in their intention to use technologies when supporting people with intellectual and visual disabilities, with attitude emerging as pivotal factor.A better understanding of the relationship between effort expectancy, attitude, and the intention to use technologies in support people may facilitate the implementation of technologies.The intentions of support people to use technologies is not related to the level of support needs of people with intellectual and visual disabilities.Younger support people have a more positive attitude towards technology for people with support needs compared to older support people.A positive attitude has a strong and positive relationship to a higher behavioural intention. Therefore, when implementing technologies, healthcare organisations should pay special attention to the attitude of support people towards the use of technologies for people with support needs.A better understanding of the relationship between effort expectancy, attitude, and the intention to use technologies in support people may facilitate the implementation of technologies.The intentions of support people to use technologies is not related to the level of support needs of people with intellectual and visual disabilities.Younger support people have a more positive attitude towards technology for people with support needs compared to older support people.A positive attitude has a strong and positive relationship to a higher behavioural intention. Therefore, when implementing technologies, healthcare organisations should pay special attention to the attitude of support people towards the use of technologies for people with support needs. [ABSTRACT FROM AUTHOR]

AbstractThe present investigation aims to examine the influence of various facilitators and biases on the behavioral intention (BI), which in turn lead to actual implementation of Artificial Intelligence (AI) in healthcare. Further to get a comprehensive viewpoint, the study attempts to observe the impact of actual implementation on perceived sustainable performance. Data for the current study were collected from 600 healthcare practitioners who use AI tools to treat patients. To analyze the linkages between exogenous and endogenous constructs Structural Equation Modeling (through AMOS software) was performed. The results indicated that out of eleven facilitators, eight significantly influenced BI to adopt AI. The findings for biases depicted that out of six biases three (Historical, Evaluation and Algorithmic) were supported. Furthermore, findings suggest that BI has a direct positive influence on actual implementation of AI which in turn positively contributes to perceived sustainable performance. The observations of this study could be helpful for practitioners and academicians. It may be used to determine which AI-supported approaches should be used for certain designs in the healthcare sector. Though this research provides valuable insights for healthcare professionals, yet it has certain limitations which may be used by researchers to build frameworks. [ABSTRACT FROM AUTHOR]

Advancement of technologies made government systems more inclusive and participatory with their citizens through e-government. The major purpose of this paper is to understand how 'behavioural intention to use egovernment is enhanced by improving transparency with the help of using social media. This paper integrates empirically tested relationships of variables and develops a conceptual model which could be useful to improve the efficiency of the e-government system. Usage of social media in the e-government platform will indirectly play a moderating role in between perceived risk and attitude which lead behavioural intention to use egovernment. This study is significant for two reasons. First, it builds a conceptual model to improve the adoption rate of e-government with the help of social media and second, it could be used as an add-on to the Unified Model of Electronic Government Adoption (UMEGA). Theoretical and practical implications are discussed. [ABSTRACT FROM AUTHOR]

A considerable amount of research using Unified Theory of Acceptance and Use of Technology (UTAUT) has been conducted worldwide to investigate the intention and actual usage of Learning Management Systems (LMS) by tertiary staff during COVID-19. However, there seems to be a lack of such research in developing countries like South Africa. Equally important is the examination of how UTAUT, in the context of developing countries, either supports or contradicts existing findings. Our motivation, therefore, was to determine whether the behavioural intention (BI) of tertiary staff within the context of a developing country aligns with or contradicts existing findings. Simultaneously, we aimed to explore the areas identified by UTAUT that should be addressed or considered based on these factors. We also incorporated additional context specific to developing countries. Guided by ten (10) hypotheses, we employed partial least squares structural equation modeling (PLS-SEM) to analyse the measurement and structural models using a survey of two hundred and sixty-four (264) respondents from one university in the Province of the Eastern Cape in South Africa. According to the UTAUT model, several factors such as performance expectancy (PE), effort expectancy (EE), attitude toward using technology (ATT), social influence (SF), self-efficacy (SE), anxiety (ANX), and facilitating conditions (FC) influence BI. However, the results obtained through path coefficient bootstrapping, using 10,000 subsamples, revealed that the intention to use LMS was explained by only three latent constructs: facilitating conditions (FC→ BI), performance expectancy (PE→ BI), and social-influence (SI→ BI). These three factors collectively accounted for approximately 44% of the variance (R-squared) in BI. We argue that instead of solely critiquing UTAUT, it is essential to consider its limitations and explore future research opportunities, particularly in connecting BI with actual usage. Overall, the theoretical implications of these results underscore the importance of acknowledging the influence of context and the limitations of existing theories in understanding technology acceptance in developing countries. [ABSTRACT FROM AUTHOR]

Metaverse has garnered considerable attention in recent times. Given its swift pace of development, it is imperative to study the adoption of the metaverse. This study analyses the perceptions and drivers influencing the behavioural intention to use the metaverse among Generation Z and millennials by employing a sequential mixed‐methods approach. In the first stage of the study, in‐depth expert interviews were conducted (n = 20), and the subsequent stage featured a countrywide survey (n = 1253). The outcomes of this study indicate that perceived usefulness, personal innovativeness, perceived enjoyment, facilitating conditions, telepresence, social presence, trust, and regulatory support influence attitudes and behavioural intentions towards the metaverse. The findings also reveal a significant difference in the strength of a few relationships across age, gender, and income levels, shedding light on the crucial factors for organisations seeking to position themselves strategically among various demographic groups. This study significantly contributes to the existing knowledge on emerging optimistic and pessimistic perceptions and factors affecting the adoption of the metaverse. By harnessing these outcomes, organisations can enhance the development and promotion of metaverse experiences. [ABSTRACT FROM AUTHOR]

This paper aims to investigate the moderating influence of the quality of access to internet and digital skills on the factors that influence the intention to use fintech services among the young working population in India. We use the Theory of Planned Behavior to examine the intention to adopt financial technology in a rapidly technologically transformative Indian landscape. We conducted an empirical investigation on 324 young workers in India using the survey method. The TPB model's relevance in an Indian context is validated. Attitude, perceived behavioral control, and subjective norms together accounted for 48.7% of the variation in the intention to use fintech services. The quality of internet access significantly moderated the positive effect of young workers' attitudes on their intention to use fintech. Digital skills significantly moderated the positive effects of attitude and perceived behavioral control on intentions to use fintech services. India is considered a very fast adopter of digital technology. In India, the use of electronic channels in financial service delivery is on the rise. With the wide geographic dispersion and huge population, the quality of internet access and digital skills can influence the intention to use fintech services. There can be vast differences in the behavioral mindset of people in a developing country like India compared to that of a developed one regarding the use and adoption of digital platforms for accessing financial services. Developers and regulators must adopt approaches and policies that consider these behavioral factors. This paper examines the Theory of Planned Behaviour in the context of a rapidly transforming behavioural context in India with the adoption of technology-based financial services. The importance of quality internet access and digital skills as factors moderating the adoption of technology is examined in this paper, unlike many previous studies. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to identify the determinants of adopting financial technology (FinTech) in Haryana (India). Further, the authors also compare the behavioural intention among male and female respondents to deliver a comprehensive understanding of the adoption of FinTech. Design/methodology/approach: The current study contains two cross-sectional surveys about males and females. Study M is completed with (333) males, and Study F is conducted on (317) female users towards FinTech adoption. This study used "Partial least squares-structural equation modelling (PLS-SEM)" for data analysis. Findings: The outcomes indicate that in both (Studies M and F), perceived usefulness and perceived ease of use substantially impact attitude and behavioural intention. Moreover, the results show that perceived value significantly influences, while perceived risks insignificantly influence behavioural intention. Surprisingly, relative advantage (in Study M) and trialability (in Study F) has insignificant impact on behavioural intention. Further, the outcomes also confirm that in both studies (M and F), attitude and behavioural intention substantially influence the actual use of FinTech. Originality/value: To the best of the authors' knowledge, this is the preliminary research on FinTech to inspect the role of gender in the technology adoption process. The adoption difference between males and females and the insightful result that the authors found help shed light on the uniqueness of the context. This study is also one of the initial to test three credible technology determinant theories and then offer a robust model for the actual use of FinTech that is to be used by both practitioners and researchers. [ABSTRACT FROM AUTHOR]

Integrating new teaching technologies in education has transformed the traditional classroom environment, offering innovative methods for teaching and learning. With the rapid advancement in digital tools and platforms, educational institutions are increasingly adopting these technologies to enhance instructional practices, engage students, and improve learning outcomes. Therefore, this research aimed to investigate the higher secondary teachers' behavioral intention towards adopting new teaching technologies in the context of professional standards and educational leadership. The study adopted a descriptive research design and utilized a quantitative research approach. A standardized questionnaire and a web-based purposive sampling method were used to collect 350 data from higher secondary teachers in Bangladesh. The data was assessed, and the hypotheses were analyzed using a process called partial least squares structural equation modeling (PLS-SEM). The PLS-SEM analysis identified a notable link among perceived ease of use, enjoyment, usefulness, and behavioral intention in the context of professional standards and educational leadership. This study is highly significant for educational institutions and policymakers that aim to enhance teacher job satisfaction and teachers' quality. Educational technology should feature an interface that is easy to use, engage the user's interest, and fulfill its intended function efficiently. Furthermore, it is imperative to tailor training programs to aid teachers' assimilation of the technology. School administrators must enact professional development efforts, encourage the effective use of technology, establish support networks, and provide adaptable solutions to meet the unique needs of instructors. These variables can potentially increase the rate of acceptance and satisfaction with technology in educational institutions. [ABSTRACT FROM AUTHOR]

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The massive consumption of conventional recyclable products causes environmental pollution, so it is very important to raise public awareness about the use of green plastics. This study assessed a comprehensive understanding of the behavioural intention model of green plastic products from the perspective of the new generation. This study uses data collected from 551 new-generation customers of environmentally friendly recyclable plastic products in Indonesia. Data analysis employing partial least squares reveals that the behavioural intention model, including perceived quality, perceived value, trust, and satisfaction as determinants, is a fit across these generation cohorts. Further, this study claims that customer satisfaction is the main driver of behavioural intention, while trust is the main determinant of satisfaction with green plastic products for both generations. Finally, this study shows that millennial satisfaction is driven by perceived value, whereas new-generation satisfaction is determined by perceived quality. The study only considered behavioural intention, including quality, value, trust, and satisfaction as the drivers, meanwhile, other potential factors could influence the intention significantly as well. These findings specifically apply to green plastic products but not to other kinds of green products. In addition, the government can devise better policies supporting green products by offering tax incentives for recyclable products. [ABSTRACT FROM AUTHOR]

In the ever-changing landscape of education, the integration of technology has become an inevitable force that reshapes the foundations of teaching and learning. Amidst this transformative wave, the concept of Artificial Intelligence (AI) has taken center stage, promising innovative approaches, and increased efficiency. Within this context, the exploration of preservice teachers' behavioural intention to employ AI in lesson planning has emerged as a critical issue for examination. This study used a descriptive cross-sectional survey design and employed a purposive sampling technique to recruit 783 preservice teachers. By employing a cutting-edge dual-staged partial least squares structural equation modelling-artificial neural network (PLS-SEM-ANN) approach, this study investigated the influence of the following essential variables on preservice teachers' intentions to incorporate AI into their lesson planning endeavours: performance expectancy, effort expectancy, habit, hedonic motivation, social influence, and facilitating conditions. Social influence emerged as the most significant positive predictor of preservice teachers' behavioural intention to use AI in lesson planning. Additionally, habit, performance expectancy, effort expectancy, and facilitating conditions substantially positively influenced preservice teachers' behavioural intention to use AI in lesson planning. Conversely, hedonic motivation did not significantly affect preservice teachers’ behavioural intention to use AI in lesson planning. This study not only enhances our understanding of technology integration in pedagogy from a theoretical standpoint but also provides practical recommendations for refining educational curricula and instructional strategies that promote effective AI integration.

AbstractThe Chat Generative Pre-Trained Transformer, popularly referred to as ChatGPT, is an AI-based technology with the potential to revolutionise conventional teaching and learning in higher education institutions (HEIs). However, it remains unclear which factors influence the behavioural intentions and the actual usage of ChatGPT among economics students in Ghanaian HEIs. In pursuit of this goal, we employed the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) to gain a better understanding of the antecedents influencing the behavioural intentions and actual usage of ChatGPT among economics students. The study surveyed 306 Ghanaian students enrolled in economics at a public university. These students were aware of the existence of ChatGPT applications. We applied a hybrid analytical approach, combining structural equation modelling and artificial neural network (SEM-ANN), to elucidate the causal relationships between variables believed to impact perceived trust, intentions, and actual usage. The results showed that design and interactivity have a significant impact on perceived trust. Similarly, perceived trust, social influence, performance expectancy, hedonic motivation, and habits drive behavioural intentions. Among the various factors influencing behavioural intentions, hedonic motivation emerged as the most dominant. Moreover, behavioural intentions and facilitating conditions significantly drive students’ actual use of the ChatGPT. Nevertheless, ethics is not a significant factor in perceived trust, and effort expectancy does not affect behavioral intention. These findings, however, offer theoretical and practical contributions that can serve as guide for a thoughtful and responsible integration of AI-based tools as a future strategy to enhance education accessibility and inclusivity opportunities

IntroductionSocial norms campaigns are communication strategies designed to influence people’s behaviour by highlighting the social norms of their reference group. Such campaigns have been shown to be effective in promoting healthy behaviours in a variety of settings. This study explored the effectiveness of a social norms campaign applied to COVID-19 protective behaviours among university students during the pandemic.MethodsA total of 141 university students (83.1% female, 16.9% male) with a mean age of 21.55 years (SD = 4.33) initially took part in an experimental pre-test-post-test longitudinal panel study between January and July 2022, with participants randomly assigned to a control group (46 participants) or an experimental group (95 participants). Considering the experimental attrition, only 83 participants completed the last questionnaire (81.9% female, 18.1% male; mean age = 22.12 years, SD = 5.29), of whom 32 belonged to the control group and 51 to the experimental group.ResultsThe Student’s t-test show that participants in the experimental group, who were exposed to the campaign, reported higher levels of self-efficacy, protective behavioural intention, and protective behaviours than the control group.DiscussionIt is concluded that social norms campaigns applied to COVID-19 protective behaviours are effective in times of pandemic and might be extrapolated to other epidemic contexts.

The COVID-19 pandemic has drastically affected the global economy, with the music industry particularly impacted by the halt in live events and physical sales. This contributed to an increase in the consumption of music through digital platforms, both globally and especially in South Africa. However, the readiness of South African consumers to fully embrace online music platforms remained unclear. This research assessed the technological readiness of South African music enthusiasts and its influence on their attitudes and intentions towards digital music platforms. Utilizing the technology readiness model and theory of reasoned action, data was gathered from 358 respondents (aged 18-60) in Johannesburg using a paper-based self-administered survey. A Structural Equation Modelling (SEM) was conducted using AMOS version 28 where the analysis revealed that optimism and innovativeness positively and significantly impacted attitudes towards digital platforms, whereas insecurity had a significantly detrimental effect. Although discomfort’s influence was positive, it was not significant. Crucially, a positive consumer attitude significantly bolstered the intention to use online music platforms.

Purpose – This research aims to observe the attitudes and behavioural intentions of young tourists in relation to their experiences of consuming PBF, including value consumption, concern for the environment and perceived cost as influencing factors. Methodology/Design/Approach – Considering that it is almost impossible to determine the sample frame for young tourists in Indonesia, this research used a non-probability sample to collect the sample. The study focused on young tourists aged 18 to 35 years old who have experience of consuming PBF while travelling. A self-administered online questionnaire was provided to tourists visiting a destination from July to September 2022, resulting in 267 usable responses. Findings – Tourists’ attitude towards PBF leads to their intention to buy again during or after their visit and to offer profitable e-WOM. In addition, perceived cost moderates the relationship between attitude and e-WOM; however, it does not provide evidence for the moderating role between attitude and repurchase intention. Originality of the research – This study highlights the value of consumption, concern for the environment and perceived costs as factors influencing tourists’ attitudes and behavioural intentions towards public transport.

We investigate the motivators behind collaborative consumption in Kyrgyzstan by applying the theory of planned behaviour. Through examining 308 responses gathered from an online survey, we assess the connections between the intention to engage in collaborative consumption and influential factors. Our results reveal that attitude, perceived behavioural control, and subjective norms are the most influential predictors, with their impact ranked in descending order. Consequently, we delve into the theoretical and practical implications of these emerging collaborative practices and business models in Kyrgyzstan.

Purpose – This study aims to construct an appropriate framework by incorporating essential components from the most renowned theories to investigate the variables that impact behavioural intentions towards embracing cashless transactions (CLT). Design/methodology/approach – A survey was conducted to ascertain the users’ intention to adopt CLT in Chennai, Tamil Nadu, India. Further, this study used a “partial least squares-based structural equation modelling” technique to analyse the relationships between latent factors. Findings – The results of the proposed model revealed that 11 independent variables together explain the intention to use CLT with a 60.5% explanatory power. Further, perceived usefulness is the most influential factor in predicting users’ willingness to adopt CLT, followed by social influence, perceived costs, attitude, trust and device barriers. Finally, the findings of moderator effects indicate that income and experience interact positively and strongly with behavioural intention to adopt CLT. It indicates that high-income, experienced users are more likely to convert their intentions into actions. Originality/value – This study integrated critical elements from the major theories, such as Theory of Reasoned Action, Technology Acceptance Model, Decomposed Theory of Planned Behaviour, the unified theory of acceptance and use of technology (UTAUT) model and UTAUT2, to investigate the adoption of CLT. As a result, 11 crucial factors were identified from the existing literature that impacts CLT adoption without overlapping. Consequently, the model presented in this study provides a more profound understanding than previous research regarding why individuals adopt CLT systems. Accordingly, these results could aid policymakers in addressing people’s concerns and facilitating a seamless transition to a cashless society.

Purpose – This study aims to investigate the technology usage behaviour of the tourists in line with the modified unified theory of acceptance and use of technology (UTAUT) model. Design/methodology/approach – Data were collected from a survey of 265 tourists using the random sampling technique. Partial least squares-based structural equation modelling (PLS-SEM) technique was used to analyze the data. Findings – The findings revealed that performance expectancy, hedonic motivation and habit significantly influence the behavioural intention of tourists to use information and communication technology (ICT), while effort expectancy, social influence, and facilitating conditions do not have a significant influence. However, actual ICT usage behaviour largely depends on the behavioural intention of the tourists, and their habits, while the facilitating conditions do not have any influence in this case. Practical implications – The findings uncover the core factors influencing tourists' actual ICT use behaviour that can assist the concerned stakeholders in designing tourism planning and sales. The study results also offer pathways for the world's tourism industry for a healthy recovery from the COVID-19 pandemic. Originality/value – The findings have made robust contributions by extending the existing UTAUT-based literature by adding two new moderators in the relationship between behavioural intention and actual ICT usage behaviour.