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This study focuses on understanding the factors that influence end-users' (customers') acceptance of fintech services in the insurance industry. The study employed a modified Unified Theory of Acceptance and Use of Technology 2 model, incorporating perceived security and personal innovativeness as independent variables, and trust as a moderating variable. A total of 391 responses were analyzed using partial least squares structural equation modeling in SmartPLS software. The study's findings indicate that factors such as effort expectancy, social influence, facilitating conditions, perceived, and personal innovativeness positively affect users' behavioral intention (BI) to use fintech services in the insurance industry. Moreover, BI positively influences the actual use (AU) of fintech services. Additionally, trust plays a positive moderating role between BI and AU. The results of this study have practical implications for academicians, researchers, insurance companies, and insurance regulatory bodies. Academicians and researchers can further explore the acceptance of fintech in developing countries based on these findings. Insurance companies and regulatory bodies can take necessary steps and formulate strategies to promote the adoption of fintech services in the insurance industry, considering the identified factors and the role of trust. [ABSTRACT FROM AUTHOR]

The Covid 19 pandemic has caused changes in the daily consumption of various generations and increased the frequency of digital payments as one solution to overcome problems related to handling cash. This research aims to analyze the influence of user perceptions on their intention to adopt QRIS. User factors are proxied by six variables, namely Perceived usefulness, perceived ease of use, social influence, facilitating conditions, perceived trust and continuous innovation. This research uses quantitative methods with analysis on Generations X, Y and Z in Jabodetabek. Purposive sampling technique was used to collect data using a questionnaire distributed via Google Form. There were 221 respondents from three generations. Data were processed using SPSS 27 with multiple regression models. The research results show that the factors Perceived usefulness, perceived ease of use, facilitating conditions, perceived trust and continuous innovation can influence a person's intention to adopt QRIS. On the other hand, social influence factors have no influence on a person's intention to adopt QRIS. This research provides new insight into how QRIS is used as a payment method by Generations effective and efficient overall. [ABSTRACT FROM AUTHOR]

Information and Communication Technology is a powerful tool for transforming education, and in developing, largely rural countries such as Bhutan, where its widespread access is relatively recent. Information and Communication Technology acceptance and use among teacher educators are crucial for effective contemporary teacher education. Acceptance and use depend on well-established factors, including teachers' attitudes; however, little is known about teachers' attitudes in rural developing countries, especially Himalayan and Buddhist countries, which are culturally different to other developing countries. Accordingly, this mixed-method study investigated how Bhutanese teacher educators' attitudes influence acceptance and use of Information and Communication Technology in teaching. Analysis of survey (n = 90) and semi-structured interview (n = 21) data indicated that teacher educators generally held positive attitudes toward its use. Age, gender, teaching experience and subject of specialisation did not influence attitude, while perceived usefulness, facilitating conditions and Information and Communication Technology use, did. Positive attitude was associated with perceived usefulness, while negative attitude aligned with Information and Communication Technology incompetence and slow internet connectivity. Some agreement exists between findings in Bhutan and other developing, rural contexts, however, differences in factors, including gender, and the presence of Buddhist zhenphen highlight the need for policymakers, researchers and interventions to account for context, alongside continued improvement of Information and Communication Technology infrastructure. [ABSTRACT FROM AUTHOR]

The discussion around integrating AI technologies into educational practice is current among scholars and in sociopolitical circles. This study examines the factors influencing teachers' acceptance of educational AI tool (EAIT) use, aiming to inform the development of a pedagogical framework for the responsible integration of AI tools in education. A conceptual model was developed by amalgamating constructs of TAM (perceived usefulness and perceived ease of use) and UTAUT (social influence and facilitating conditions) while integrating the variables of perceived trust and personal innovativeness and considering the impact of teachers' pedagogical beliefs. A total of 342 Greek teachers participated in the quantitative survey conducted. The proposed model was evaluated using partial least squares structural equation modelling (PLS-SEM). The findings illuminated perceived usefulness as the most significant predictor of teachers' behavioural intention to use EAIT. The research also revealed that social influence and personal innovativeness exert considerable influence. While constructivist pedagogical beliefs were found to have no direct impact on EAIT acceptance, the results indicated that educators who embrace those teaching methods exhibit a high propensity to perceive EAIT as useful and trustworthy. Furthermore, the study's analysis demonstrated that trust had a significantly positive effect on usefulness, and innovativeness influences positively and significantly both usefulness and ease of use. [ABSTRACT FROM AUTHOR]

This study aims to investigate factors affecting behavioral intention towards teaching AI in Saudi universities. A random sampling method was used. A total of 430 responses were received. There were 330 males (76.74%), and 100 females (32.25%). All participants were of Saudi nationality and spoke Arabic as their mother tongue. To investigate sample data and assess model fit, this study employs structural equation modeling (SEM). A self-report 15- item survey instrument was developed specifically for this research study, based on Technology Acceptance Model (TAM). Study variables showed significant correlations at the .01 level. BI correlates positively with Performance expectancy (PE), Effort expectancy (EE), Social influence (SI)and Facilitating conditions (FC) (r = .555, .655, .630 and .615 respectively). Each of PE, EE, SI made significant individual contributions to the prediction of BI. The results indicated that the following beta weights which represented the relative contribution of PE, EE, SI and FC to the prediction were observed. PE (b = .411, t = 5.890, P < 0.01), EE (b = .333, t = 5.780, P < 0.01), SI (b = .297, t = 5.230, P < 0.01), and FC (b = .299, t = 5.232, P < 0.01). Together they yielded a coefficient of multiple regression (R) of 0.788 and a multiple correlation square of 0.784. With regard to the academic contribution, this work builds upon previously established and validated literature while simultaneously providing a new conceptual model. [ABSTRACT FROM AUTHOR]

This paper aims to understand the impact of factors affecting the relationship between intention and using Fintech in the VUCA era, which stands for volatility, uncertainty, complexity, and ambiguity. A cross-sectional design was employed in this study. The data was collected via questionnaires, with 1,411 usable responses received through the survey. Partial least squares structural equation modeling (PLS-SEM) was employed to assess the process with SmartPLS 4. Our research did figure out the positive impact of Perceived Usefulness and Perceived Ease of use on behavioral intention and the positive impact of Intention on Using Fintech behavior. Simultaneously, we indicated that Financial literacy could moderate the relationship between Intention and Using Fintech behavior, and Financial self-efficacy would be a mediator of the association between Financial literacy and Using Fintech behavior. Based on the results, we make some recommendations for Fintech developers in Vietnam. [ABSTRACT FROM AUTHOR]

Plagiarism detection software is beneficial in detecting plagiarism in research works of postgraduate students. Despite the benefits of using plagiarism detection software, studies have revealed that most students, including postgraduates, do not use plagiarism detection software as expected. This could depend on the provision of facilitating conditions like internet connectivity, training opportunities and electricity. Thus, this study examined facilitating conditions and the use of plagiarism detection software among postgraduates of the University of Ibadan, Nigeria. A descriptive survey research design of the correlational type was used for this study, with a population of 2143 postgraduates. The multi-stage random sampling technique was used to determine the sample size of 242. The questionnaire was the research instrument, and data was analysed using descriptive statistics. Results showed that most postgraduates agreed that the university provided facilitating conditions like internet connectivity. The majority of the respondents noted that they used Turnitin monthly. Most of the respondents noted that they used plagiarism detection software to paraphrase their work and check the correctness of the grammar in their documents. The most prominent challenges confronting plagiarism detection software use by most respondents were their inability to afford subscription payment to use the plagiarism detection software and slow internet connectivity. There was a significant positive relationship between facilitating conditions and the use of plagiarism detection software by the postgraduates of the University of Ibadan, Nigeria. Some of the recommendations for the institution’s management include leveraging the vast network of alumni willing to give back to the institution and intervening in the provision of internet connectivity and electricity. [ABSTRACT FROM AUTHOR]

Copyright of Zeszyty Teoretyczne Rachunkowości is the property of Stowarzyszenie Ksiegowych w Polsce Rada Naukowa 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.)

Online teaching and learning have caused many students and teachers with unprecedented challenges leading to a phenomenon known as the digital divide, which is the disparity between individuals who have access to Information and Communication Technologies (ICT) and those who do not. Therefore, this study aims to investigate the significant difference in facilitating conditions (network connection, technical issues, school infrastructure) and usage of Google Classroom for teachers in rural and urban teachers. In this study, 395 responses were collected from secondary school teachers through an online survey, that included demographic information and 22 survey items. Descriptive statistics and t-test analysis were used to analyze the data. Findings found that there are significant differences in technical issues and usage of Google Classroom for teachers in rural and urban schools. This research offers valuable insights for educational stakeholders especially the schools and government to provide tailored technical support and ongoing training to the teachers in Malaysia, especially those in rural areas. By strategically allocating educational resources and executing policies that cater to the varying needs of these different environments, it is believed that policymakers and educational stakeholders can bridge the digital divide and create educational equity nationwide. [ABSTRACT FROM AUTHOR]

AbstractThe Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or popularly the Corona Virus Disease 2019 (COVID-19) pandemic brought significant public health challenges globally. During the crisis, mobile health (m-health) services were implemented to expedite fast, convenient and reliable dissemination of health information to the public. Meanwhile, the adoption of m-health faced high uncertainty alike other COVID-19 regulatory methods. This study examines the antecedents of m-health acceptance among Zimbabwean university students. Whilst research on m-health adoption during the pandemic is still scarce, this study becomes the first to integrate the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Theory of Planned Behavior (TPB) to predict m-health adoption in a developing country. An explanatory design and a quantitative research approach were employed. Based on 271 valid responses, Structural Equation Modelling was used to estimate the proposed model. The findings revealed the positive effect of performance expectancy, effort expectancy, facilitating conditions, attitudes, behavioral norms, perceived behavioral control on behavioral intention to adopt m-health with a higher R square value (80.4%) than the original UTAUT model. The study also confirmed the positive influence of behavioral intention on m-health usage (R square = 41.5%). Health promoters were urged to design messages that stimulate positive attitudes, appeal to social groupings and improve user’s self-efficacy. M-health services should also foster use simplicity, ease of use and health value to entice m-health adoption among consumers. The study also provides an important baseline for the integration of behavioral theoretical models to enhance their predictive strength.

Introduction: M-wallets have become the most prominent financial technology in Indonesia. Thus, discerning the behavioral intention of using m-wallet apps and the related determinants is essential. This study proposes an extended indicator for facilitating conditions to fill the identified gap in previous studies. The influence of facilitating conditions on usage intention is also examined. Methods: This study employed PLS-SEM to validate our proposed indicator and research hypothesis. 122 m-wallet users in Madiun participated as the research respondents. Data from the respondents was analyzed through reflective and structural assessments. Results: The findings identified that the QR code policy was valid and reliable as an indicator for facilitating conditions. Through the structural model assessment, the impact of facilitating conditions on usage intention was found to be significant. Conclusion and suggestion: As a novel contribution, this study has provided the QR code policy as an extended indicator. In this situation, the government plays a consequential role in increasing m-wallet penetration. Moreover, m-wallet providers are suggested to take into consideration facilitating conditions, including user guidance and smartphone compatibility.

Generation Z faces diverse challenges in education amidst the swift evolution of technology. This study investigates the factors shaping Generation Z's acceptance and adoption of AI and Cloud-based applications in Oman's higher education sector. Despite limited attention to this area in Oman and the Gulf Cooperative Council countries (GCC), this research addresses the gap by employing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, recognized for its effectiveness in understanding technology adoption. Through a quantitative approach, Generation Z students in Omani higher education institutions were surveyed, and SmartPLS was utilized for analysis. Results indicate a significant positive relationship between all UTAUT antecedent factors, with Performance Expectancy being non-significant. This study offers novel insights into global understandings of Generation Z's learning trends with AI and Cloud-based applications in higher education, aiming to enhance pedagogical approaches. Notably, it pioneers such efforts within the GCC context. Recommendations for similar research in other GCC countries are provided to enrich regional perspectives. Limitations and future directions are addressed, emphasizing the importance of comprehending Generation Z's interaction with technology to advance educational practices in the digital age. Doi: 10.28991/ESJ-2024-08-03-02 Full Text: PDF

Understanding consumer intentions regarding mobile wallet (m-wallet) adoption is paramount in the mobile commerce landscape, particularly in cash-centric economies like Jordan. Despite efforts to shift toward digital payments, cash transactions remain prevalent, highlighting the need to explore m-wallet service adoption dynamics in Jordan.This study aims to identify the factors influencing Jordanian consumers’ adoption of m-wallet services, focusing on the motivations and barriers. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT2) as a theoretical foundation, the research integrates various models to assess technology acceptance. A questionnaire distributed among m-wallet users from fintech companies in Jordan garnered 421 responses, analyzed using the Smart PLS 3 software.The findings indicate a positive impact of all variables on the propensity for m-wallet adoption in Jordan. Notably, perceived usefulness, ease of use, and facilitating conditions significantly influenced user decisions, evidenced by R-square values of 0.78%, 0.758% and 0.684%, respectively. Meanwhile, perceived value, security, privacy, and social influence had a moderate effect. The attractiveness of alternatives and attitudes towards m-wallet usage showed lesser impact, with R-square values at 26.7% and 22.8%, respectively, illustrating varied influences on adoption rates in determining consumer adoption of m-wallet services in Jordan.This paper enhances research on mobile commerce in developing economies, focusing on Jordan. It explores the adoption of m-wallet services by fintech users, presenting a detailed model. The study provides valuable insights for advancing digital payment systems in this region.

The current research investigated the factors associated with the intensity of AI chatbot usage among university students, applying the Technology Acceptance Model (TAM) and its extended version, TAM3. A daily diary study over five days was conducted among university students, distinguishing between inter-individual (between-person) and intra-individual (within-person) variations. Multilevel structural equation modeling (SEM) was used to analyze the data. In Study 1 (N = 72), results indicated that AI chatbot anxiety was associated with perceived ease of use (PEOU) and perceived usefulness (PU), which serially mediated the link with AI chatbot usage intensity. Study 2 (N = 153) supported these findings and further explored the roles of facilitating conditions and subjective norm as additional predictors of PEOU and PU. Results from both studies demonstrated that, at the between-person level, students with higher average levels of PEOU and PU reported more intensive AI chatbot usage. In Study 1, the relationship between PEOU and usage intensity was mediated through PU at the within-person level, while the mediation model was not supported in Study 2. Post-hoc comparisons highlighted much higher variability in PEOU and PU in Study 1 compared to Study 2. The results have practical implications for enhancing AI chatbot adoption in educational settings. Emphasizing user-friendly interfaces, reducing AI-related anxiety, providing robust technical support, and leveraging peer influence may enhance the usage intensity of AI chatbots. This study underscores the necessity of considering both stable individual differences and dynamic daily influences to better understand AI chatbot usage patterns among students.

Technology is rapidly mounting, and AI has transformed the financial industry rapidly. The primary objective of the research is to identify factors (like Design, Information Quality, Security, and Facilitating Conditions) that influence a customer to employ chatbot technology in the banking industry. A survey of 250 respondents was carried out utilizing an online questionnaire. The study's target respondents are customers who use banking services and chatbots through a random sampling method. The structured questionnaire employed in this study comprised two modules: one detailing the attributes of respondents and enterprises and the other containing questions on research constructs. The Stimulus Theoretical Framework and Technology Acceptance Model were tested throughout the study. The model helps to analyze the factors responsible for customer propensity that influence the use of chatbots. The research first conducted an exploratory factor analysis (EFA) to determine the measured data's structure. The internal consistency of data was tested using Cronbach's alpha values. Finally, the research hypothesis was assessed using Structural Equation Modeling (SEM). The research findings can help banks to meet the needs of their diverse customer base. The study would help the providers of chatbot services to reduce the complexity of communication and services for the users and make the customers adopt the technology services without any intervention. This develops trust among the consumers, thus making it a valuable contribution. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Academic Library & Information Science is the property of Anhui University 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.)

One important part in the implementation of providing health services to patients in hospitals is medical records. The purpose of this study was to determine the relationship between dentist behavior and odontogram completeness, to analyze odontogram filling behavior from the aspect of the relationship between performance expectations, business expectations, social influence, and facilitating conditions, to improve dentist behavior towards filling odontogram completeness, and analyzed the relationship between intervention and completeness of odontogram filling.The type of research used is a qualitative research method. In order to improve the completeness of filling out the odontogram in Electronic Medical Record, it is necessary to consider the various factors that have been identified in this study. [ABSTRACT FROM AUTHOR]

This paper delves into the dynamics of self-service technology (SST) with the plan to use it in fast-food restaurants, focusing on pivotal determinants that shape users' intentions to engage with these technologies. Leveraging the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, the study investigates the influence of various variables such as performance expectancy, effort expectancy, social influence, habit, facilitating condition, and technology anxiety on users' intentions to use self-service technologies. To gauge consumers' intentions regarding SST use when ordering food and drinks, we conducted a field survey, with 272 customers participating at one of the largest Kentucky Fried Chicken (KFC) outlets in Indonesia. The findings suggest that certain variables such as habit, influence the desire to integrate SST as well as performance and effort expectancy, whereas facilitating condition and social influence do not exert a significant impact. As anticipated, factors related to technology anxiety impede customers' intentions to use SST. These findings are anticipated to provide a better understanding of both academic research and practical implications for the use of SST within the fast-food industry. [ABSTRACT FROM AUTHOR]

The purpose of this study was to predict the likelihood that teachers would consider the Geometric AR-based Pedagogical Module (GeAR-PM) as beneficial, and study the factors that influence their decision. The data for this study was gathered via a survey method. A sample of 202 Malaysian secondary school teachers was randomly selected as respondents for this study. Specifically, the respondents were asked to answer questions using an instrument which was developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study comprised four UTAUT variables: performance expectation, effort expectancy, social influence, and facilitating conditions, and one additional variable, self-efficacy. All variables showed high reliability with Cronbach Alpha's values between 0.87 to 0.91. The data was analyzed using a binary logistic regression via Statistical Package for the Social Sciences (SPSS) version 27.0. The findings revealed that a teacher's belief that GeAR-PM is beneficial was significantly related to his/ her perception on effort expectancy, social influence, and self-efficacy. Hence, when developing the GeAR-PM, these three factors should be weighed up. [ABSTRACT FROM AUTHOR]

This study aims to investigate factors affecting behavioral intention towards teaching AI in Saudi universities. A random sampling method was used. A total of 430 responses were received. There were 330 males (76.74%), and 100 females (32.25%). All participants were of Saudi nationality and spoke Arabic as their mother tongue. To investigate sample data and assess model fit, this study employs structural equation modeling (SEM). A self-report 15- item survey instrument was developed specifically for this research study, based on Technology Acceptance Model (TAM). Study variables showed significant correlations at the .01 level. BI correlates positively with Performance expectancy (PE), Effort expectancy (EE), Social influence (SI)and Facilitating conditions (FC) (r = .555, .655, .630 and .615 respectively). Each of PE, EE, SI made significant individual contributions to the prediction of BI. The results indicated that the following beta weights which represented the relative contribution of PE, EE, SI and FC to the prediction were observed. PE (b = .411, t = 5.890, P < 0.01), EE (b = .333, t = 5.780, P < 0.01), SI (b = .297, t = 5.230, P < 0.01), and FC (b = .299, t = 5.232, P < 0.01). Together they yielded a coefficient of multiple regression (R) of 0.788 and a multiple correlation square of 0.784. With regard to the academic contribution, this work builds upon previously established and validated literature while simultaneously providing a new conceptual model.

Bitcoin gained significant popularity starting in 2017, when the price soared from around $1,000 at the beginning year to nearly $20,000 in December. The aim of this research to analyze the factors of investment in bitcoin in Indonesia. The population of the study is individual who invest in Bitcoin. The sample is purposive with 140 valid respondentsfrom social media bitcoin group. The research used quantitative with online survey, distributed during September to November 2022.The survey was analysed using Structural Equation Modelling with Smart PLS. This study found that the facilitating conditions, compatibility, trust, power prestige, and retention time positively influence the investing intention in Bitcoin. Moreover, Awareness does not have significant effect on investment intention. Gender does not moderate the facilitating conditions, awareness, compatibility, trust, power prestige, and retention time with intention to invest in Bitcoin. It implies that the provider should pay attention more on facilitating conditions, compatibility, and retention time of the Bitcoin investment in their platform.

The reluctance of university members to enter their information in International Scientometric Systems (ISSs) is counterproductive behavior for human resource management for international university rankings. The explicit goal of this research was to identify the necessary conditions for ISSs acceptance management in an Iranian academic community. To identify factors affecting the acceptance of ISSs and explore members’ attitudes towards them after a focused literature review, user feedback in training classes of ISSs was recorded through the researcher's participation during two semesters. This information was placed as components of a self-made questionnaire after multiple codings based on grand theory. Then, a self-made questionnaire technique was used to investigate correlations between these factors. Snowball sampling collected data from 86 expert users of this system, and the hypotheses were tested. In entering information in ISSs, experience of using ISSs, facilitating conditions, expected effort, and expected performance were identified. Finally, the relationships of these variables were presented based on the path analysis model. The results showed that usefulness, expected effort, experience, and facilitating conditions effectively use the systems through the willingness to use ISSs. However, the members were unwilling to use ISSs because they were not well justified about the micro and macro goals of the university ranking systems. Completing information in these diverse systems is considered time-consuming and repetitive. The existing rules for each system are considered cumbersome. Access to these systems' cookies to their personal information is not considered safe and desirable. The results' significance, implications, and limitations have also been deliberated for further research.

The banking industry has received criticism for being one of the major contributors to climate change, either directly or indirectly. In response to this, the concept of “green banking” has emerged as a way to counteract the negative impact that banks are inflicting on the environment. However, there is little research on green banking adoption from customers’ perspectives in emerging countries, particularly Pakistan. Therefore, the current study has explored and examined the different factors that influence customers’ intention to adopt green banking and afterwards use behavior by applying the unified theory of acceptance and use of technology. In addition, customers’ green values and collectivist culture were incorporated into the unified model to determine the most influential factor driving green banking proliferation. The study was conducted in Lahore, Pakistan, with the participation of 305 private bank customers. The empirical findings revealed that facilitating conditions and performance expectancy are the most significant driving factors for green banking proliferation, followed by emotional and conditional values, social influence, and effort expectancy. Surprisingly, a country with a 97% Muslim population believed in a collectivist national culture and a joint family system showed an insignificant moderating effect of collective culture on relationships. Bank managers, policymakers, and researchers should take into account these factors while designing and developing green banking products/services and policies to promote green banking proliferation in mainstream markets. The study provides novel theoretical insights on green banking adoption from customers’ perspectives and guides future research in this field. [ABSTRACT FROM AUTHOR]

Purpose: This study investigates the impact of various variables on Saudi Arabian university students' perceptions and attitudes towards AI-powered Tutoring Systems (AI-PTS). This study examines the mediating role of satisfaction in the relationship between perceived usefulness, facilitating conditions, content and navigational ease of use, instrumental value of AI-PTS adoption, and the cost and expectation to use AI-PTS. Moreover, this study looks into the moderating effect of student engagement on the relationship between satisfaction and expectancy in AI-PTS. Methodology: A survey questionnaire was used to collect data from 284 students from multiple universities in Saudi Arabia, employing the convenience sampling method. The study employed structural equation modelling (SEM) with PLS to analyse the data and assess the research hypotheses. Findings: The results indicate that satisfaction in AI-PTS partially mediates the relationship between perceived usefulness, facilitating conditions, content and navigation (ease of use), task value in AI-PTS attainment, and cost with expectancy in AI-PTS. The study's findings highlight the impact of student satisfaction on their expectations and beliefs regarding the system. Additionally, this study highlights the significant role of interpersonal engagement in reducing the relationship between satisfaction and expectancy in AI-PTS. The findings have significant implications for AI-PTS developers and users in the educational field, highlighting the importance of prioritising satisfaction and engagement. Implications: This prioritisation is crucial for enhancing students' ability to effectively utilise the technology. This study contributes to the progress of AI-PTS and Saudi Arabian higher education fields by investigating the factors that influence students' expectations and perceptions of AI-PTS. This study aims to investigate the mediating role of satisfaction and the moderating role of student engagement in understanding the complex process of students' connections with AI-PTS. [ABSTRACT FROM AUTHOR]

The reluctance of university members to enter their information in International Scientometric Systems (ISSs) is counterproductive behavior for human resource management for international university rankings. The explicit goal of this research was to identify the necessary conditions for ISSs acceptance management in an Iranian academic community. To identify factors affecting the acceptance of ISSs and explore members' attitudes towards them after a focused literature review, user feedback in training classes of ISSs was recorded through the researcher's participation during two semesters. This information was placed as components of a self-made questionnaire after multiple codings based on grand theory. Then, a self-made questionnaire technique was used to investigate correlations between these factors. Snowball sampling collected data from 86 expert users of this system, and the hypotheses were tested. In entering information in ISSs, experience of using ISSs, facilitating conditions, expected effort, and expected performance were identified. Finally, the relationships of these variables were presented based on the path analysis model. The results showed that usefulness, expected effort, experience, and facilitating conditions effectively use the systems through the willingness to use ISSs. However, the members were unwilling to use ISSs because they were not well justified about the micro and macro goals of the university ranking systems. Completing information in these diverse systems is considered time-consuming and repetitive. The existing rules for each system are considered cumbersome. Access to these systems' cookies to their personal information is not considered safe and desirable. The results' significance, implications, and limitations have also been deliberated for further research. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has modified the course of digital wallet adoption in the Philippines and has led to changes in consumer behaviors. With this shift, studies about adopting mobile wallets by different populations have emerged due to their importance for companies’ strategies. This study has adopted the model proposed by Elok and Hidayati (2021), which focused on the different factors affecting the customer loyalty of mobile wallet users. In this study, the researcher aims to determine the respondents’ perception on mobile wallets’ performance expectancy, effort expectancy, facilitating conditions, and switching barriers. This study also aims to measure the respondents’ level of habit, trust, customer satisfaction, and customer loyalty on mobile wallets and determine if these constructs have a significant positive effect on customer loyalty. Lastly, as suggested by Elok and Hidayati (2021), this research considered habit, trust, and customer satisfaction as mediating variables among performance expectancy, effort expectancy, and customer loyalty. By distributing physical copies of the survey questionnaire, the researcher was able to gather a total of 110 valid respondents to represent the chosen population of public-school teachers in Pasig City. The results show that the respondents have a very high level of performance expectancy, effort expectancy, facilitating conditions, and customer loyalty. On the other hand, the respondents have a high level of switching barriers, customer satisfaction, trust, and habit. Furthermore, the results also show that the different constructs all significantly affect customer loyalty. This study also identifies that habit, trust, and customer satisfaction have partial mediating effects on performance expectancy, effort expectancy, and customer loyalty. [ABSTRACT FROM AUTHOR]

This contribution investigates higher education students' perceptions about mobile learning (m-learning) applications, as well as the effects of social influences and of appropriate facilitating conditions, on their intentions to continue using them. A structured survey questionnaire integrated valid measures from the Technology Acceptance Model (TAM) and from the Unified Theory of Acceptance and Use of Technology (UTAUT) to better explain their acceptance and use of m-learning software. The findings reported that facilitating conditions including the provision of resources, ongoing training opportunities and technical support, were affecting the respondents' engagement with m-learning programs. The respondents indicated that they were not influenced by others to use mobile technologies for educational purposes. The results also suggest that they were well acquainted (and habituated) with the use of mobile devices and their applications. Evidently, they helped them improve their learning journeys. [ABSTRACT FROM AUTHOR]

Ensuring comprehensive medical records is a crucial aspect of delivering effective healthcare in hospitals, with a particular focus on dental services. This research delves into the dynamics of the relationship between a dentist's behavior and the completeness of odontogram filling. The study focuses on a comprehensive analysis of performance expectations, effort expectations, social influence, and facilitating conditions. Through this examination, the goal is to positively influence dentist behavior, leading to improvements in the quality of odontography documentation. The findings aim to contribute valuable insights for enhancing dental practices. Adopting a qualitative research methodology with a scoping review approach, the investigation identifies various categories of dentist behavior in filling out electronic medical records. These categories are delineated based on the multifaceted aspects of performance expectations, effort expectations, social influence, and facilitating conditions. To augment the completeness of odontography filling, the research underscores the importance of considering the factors identified within these aspects. By addressing the nuanced interplay between these elements, interventions can be strategically designed to positively impact dentist behavior and, consequently, elevate the standard of odontography documentation. This research contributes valuable insights to the ongoing efforts aimed at refining the implementation of health services and ensuring meticulous medical record-keeping, particularly in the dental domain. [ABSTRACT FROM AUTHOR]

Research has been limited on what factors may make customers feel uncomfortable with using electronic payment systems. The purpose of this research study was to develop a model that analyzed the dimensions of the unifiB01;ed theory of acceptance and use of technology (UTAUT) with extra structures to understand how gender can affect whether consumers decide to embrace cashless payment systems in Thailand. Accordingly, 416 valid answers were submitted by banking customers utilizing the survey instrument. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to kick off the process of creating a measurement model. Structural equation modeling (SEM) was then used to pinpoint the most pressing factors that prevent people from embracing online banking systems. The purpose of this research was to develop a technology acceptance model with extra structures to understand how attitudes and perceived risks affect people's decision-making process as to whether they embrace cashless payment systems in Thailand (i.e., innovativeness). In the second stage, we used a neural network model to rank the importance of various SEM-derived predictions. The results demonstrate a robust association between Internet banking and the value barrier, the risk barrier, and the image barrier. The only factor that indicated any kind of negative influence on whether people chose to use Internet banking was the conventional barrier. Remarkably, the image barrier affected Internet banking adoption more than the risk barrier or the no-frills alternative. Furthermore, according to the data, men experienced greater challenges than women. The findings of this study may help financial institutions create offerings that entice customers to conduct financial dealings with them online. The banking industry could immensely benefit from this research since it may lead to changes in the laws that govern banking and could ultimately enhance customer service and online services. Plain Language Summary: The purpose of this research was to develop a model that would examine a study that used the technology acceptance model with extra structures to understand how attitudes and perceived risk affect people's decisions to embrace cashless payment systems in Thailand (i.e., innovativeness). There were 416 valid answers collected from bank customers utilizing the survey instrument. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to kick off the process of creating a measurement model. Then, structural equation modeling (SEM) was used to pinpoint the most pressing factors preventing people from adopting online banking of this research was to develop a model that would examine a study that used the technology acceptance model with extra structures to understand how attitudes and perceived risk affect people's decisions to embrace cashless payment systems in Thailand (i.e., innovativeness). There were 416 valid answers collected from bank customers utilizing the survey instrument. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to kick off the process of creating a measurement model. Then, structural equation modeling (SEM) was used to pinpoint the most pressing factors preventing people from adopting online banking. In the second stage, we used the neural network model to rank the importance of various SEM derived predictions. The results demonstrate a robust association between Internet banking and the value barrier, the risk barrier, and the image barrier. [ABSTRACT FROM AUTHOR]

Abstract Mobile technologies and factors influencing English as a foreign language (EFL) learners’ willingness to integrate them into their learning processes are significant. This study aims at investigating the role of facilitating conditions, perceived ease of use, and perceived usefulness as factors in predicting Iranian EFL learners’ perceptions toward mobile-assisted language learning (MALL). Accordingly, data were collected from 223 Iranian EFL learners who had their English language courses in the two major educational contexts (i.e., public schools and private institutes). Considering the first phase of the study, a statistically significant relationship was found between the three hypothesized factors (i.e., facilitating conditions, perceived ease of use, and perceived usefulness) and learners’ perceptions toward MALL. Furthermore, the facilitating conditions were associated with learners’ perceived ease of use. Regarding the second phase of the study, the analysis of the path coefficients indicated a significant predictive power of perceived usefulness on perceptions toward MALL. Also indicated in this study is the significant effect of facilitating conditions on learners’ perceived ease of use. The results are discussed in the light of the literature, and suggestions for further research are provided.

The rapid growth and advancement of electronic devices and technologies in the FinTech industry empower new innovative products and services. The covid-19 pandemic could have a devastating effect on Malaysia’s economy, but it has offered additional opportunities for the E-wallet segment of the Fintech business to thrive. The E-wallet segment of FinTech is one of the latest innovations that is currently growing as there is a need for contactless payments during the pandemic situation. The main objective of the study is to examine the factors affecting e-wallet adoption among young adults in Malaysia. A sample of 200 responses was analyzed using Smart PLS 3.0. The findings revealed that the factors of “performance expectancy”, “effort expectancy”, “compatibility”, and “social influence” have a positive and significant impact during the pandemic; however, the factor of “facilitating conditions” has no significant impact on the adoption of the E-wallets. The study substantiates the key and important variables of adoption in order to develop and evolve E-wallet providers' existing services. Particularly, due to the increasing importance of e-commerce, E-wallet service providers are urged to focus on the system's interoperability, which encourages individuals or customers to use the strategy. They should include unique features that allow customers to accept the service, trust its benefits and feel comfortable using the technology. The study is useful to the E-wallet providers to improve the existing services. The findings also guide the companies offering E-wallets to enhance the usage and adoption of their services.

This study aims to examine the factors that affect digital payment adoption. In addition to this, it also identifies the factors that will help to increase the adoption once the maturity is attained. The current study demonstrates a key driver of digital payment. The research is conclusive in nature. It utilizes a hybrid approach combining PLS SEM and ANN to illustrate the impact of various factors on the adoption of digital payments. The data is collected through a structured questionnaire. Warp PLS 7.0 is used for Structured Equation Modelling as a statistical tool analysis of the data. The findings of this study indicate that the facilitating conditions are the most influencing factor of digital payment adoption. Apart from this, social norms were identified as the factor that will influence the adoption of digital payment when there will be a fall in its adoption and usage. [ABSTRACT FROM AUTHOR]

Although Trump portrayed the Islamic Republic of Iran as a threat to US security and interests and succeeded in securitization of the Islamic Republic of Iran within the United States, he failed to introduce the Islamic Republic of Iran as a threat to international security at the global community level. For example, at a meeting of the UN Security Council on August 14, 2020, only two of the 15 members of the UN Security Council adopted a resolution proposed by the United States that would lift the arms Sanction imposed on Iran, they voted in favor. Whereas if Trump had succeeded in portraying the Islamic Republic of Iran as a threat to international security, all or a majority of members of the UN Security Council would have voted in favor of the resolution. Although various theoretical frameworks can be used to explain this issue, this research uses the concept of "Macrosecuritisation" proposed by the Copenhagen School that is part of the theory of "securitization" and trying to investigate the causes of this issue. Therefore, this study seeks to answer the main question: "What are the reasons for the Failure of Trump's Securitizing Speech-act, and introduction of the Islamic Republic of Iran as a threat to international security?" present the hypothesis and mentions five reasons. the hypothesis of this Research is: Trump's failure to Macrosecuritisation of the Islamic Republic of Iran stems from five factors: 1) the inability to present the Islamic Republic as a macro-threat to the macro security Referent Object, that Here, the world community (or at least the Western bloc), and to be more precise, disregards to the external aspect of the facilitating conditions of Securitization; 2) the lack of a unity of negatives as one of the success factors of a Macrosecuritisation; 3) Lack of persuasion of the audience and, more precisely, inability to turn ordinary audiences into supportive audiences, Due to the low social capital of the Securitizing Actor (Trump) in the international community; 4) Lack of adding a universal dimension to Trump's Securitizing Speech-act of the Islamic Republic of Iran; 5) Lack of selection of appropriate watch words and terms that can be invoked to move specific issues into the realm of securitization without elaborate arguments about the securitization of the specific case. This research can be considered as a qualitative-quantitative research in which qualitative tools such as Content Analysis Method of eight Trump's speeches / comments / statements and quantitative tools such as the results of polls of reputable Western Institute are used. [ABSTRACT FROM AUTHOR]

In the digital age, it is necessary for higher education teachers to improve their digital competence to face the challenges of the advancement of technology. Because there are few studies on the digital competence of higher education teachers in the context of Asia, the aim of this study was to describe Chinese higher education teachers' self-perceptions of digital competence and investigate the effects of self-efficacy and facilitating conditions and how they predict teachers' digital competence. For this purpose, a quantitative methodology was used. A final sample of 525 in-service higher education teachers from China completed the questionnaire. The data were analyzed using descriptive analysis, inferential analysis, and latent variable path analysis. The results indicate, first, that teachers' general perception of digital competence was at a high level, and of the seven competence areas, values, ethics, and security, digital resources, and continuing professional development areas ranked among the top four, respectively, based on their means. Significant differences were observed in the digital competence of teachers with regard to different levels of education, disciplines, and institutional categories. Second, according to the results of structural equation modeling, facilitating conditions were positively and significantly correlated with teachers' self-efficacy and digital competence. In addition, self-efficacy exerted a significantly positive impact on teachers' digital competence. Finally, self-efficacy was found to mediate the relationship between facilitating conditions and teachers' digital competence. Implications are suggested for developing teachers' digital competence according to the findings of this study. [ABSTRACT FROM AUTHOR]

In the context of an increasingly digitized global marketplace, this study seeks to shed light on its adoption in developing countries, focusing on Morocco. Applying logit, probit, and conditional mixed-process probit models to a sample of 807 Moroccan firms, we identify key factors that influence e-commerce adoption. The results show that younger, innovation-driven firms and those with a highly educated workforce tend to adopt e-commerce more readily. However, digital skills required in hiring do not significantly affect adoption, suggesting a complex relationship between digital skills and e-commerce use. The results also show that firms that are active on digital platforms and engage in innovative practices are more likely to adopt e-commerce. Therefore, this study argues for the need to improve digital skills training and for firms to establish a presence on digital platforms and promote innovation. On the policy front, the study suggests the promotion of supportive policies such as financial assistance, improved Internet infrastructure, and robust regulatory frameworks. As an important starting point for future research, these findings underscore the complexities of e-commerce adoption in Morocco and can guide further research, particularly in the context of similar emerging economies. [ABSTRACT FROM AUTHOR]

Previous ecological behaviour studies have focused on personal factors only, and thus ignored the impact of environmental factors on ecological behaviour. In addition, there are criticism on the complexity of belief component in the value-belief-norm theory. Hence, this study aims to investigate the effect of environmental factors and to assess the mediating role of ecological beliefs on energy-efficient appliance purchasing. This study utilised a questionnaire survey among 592 Malaysian consumers. The partial least squares technique was utilised to analyse the data and to test the study hypotheses. The findings show that environmental factors have a positive influence on both ecological beliefs and ecological behaviour; ecological beliefs are positively related to ecological behaviour. Additionally, ecological beliefs mediate the relationship between environmental factors and ecological behaviour. This holistic research framework helps to elaborate on the existing knowledge of environmental factors and an individual's belief, in the context of energy-efficient appliance purchase. [ABSTRACT FROM AUTHOR]