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Education for sustainability refers to educational policies that focus on shaping a sustainable future. Mobile learning software refers to the use of mobile applications through smart devices for promoting online learning. However, the effectiveness of such software in learning for sustainability depends on users' intention to adopt it. While there is growing interest in using mobile technology for sustainability education, empirical evidence on how personalized mobile software can influence users' attitudes and behaviors toward sustainable practices is limited. Thus, this study investigates the factors that affect users' acceptance of mobile learning technology in sustainability education, by integrating environmental awareness and personalization strategies into a modified model based on the unified theory of acceptance and use of technology (UTAUT). A total of 120 users participated in the survey. An empirical analysis of data was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the relationship between the variables of the model. The results showed that both environmental awareness and personalization strategies had a significant effect on users' behavioral intentions. In addition, hedonic motivation and habit exerted an effect on behavioral intention, contrary to effort expectancy and social influence. These findings confirm that a personalized mobile learning application related to environmental issues reveals as a powerful tool for supporting environmental education since such software appears to have high acceptance by the user. The significance of the study lies in its potential to inform the design and development of personalized mobile applications for sustainability education. The study contributes to the creation of more effective mobile applications that promote sustainable behavior and contribute to a more sustainable future by identifying the elements that influence user acceptance. [ABSTRACT FROM AUTHOR]

This study investigates the acceptance of camera simulator technology as a learning media by Indonesian vocational high school (VHS) students and examines the relationships among influencing factors. It proposes an acceptance model integrating the technology acceptance model (TAM) 3 and the unified theory of acceptance and use of technology (UTAUT). Ten factors impacting technology acceptance were identified, resulting in the formulation of 15 hypotheses regarding inter-construct relationships. In this empirical study, a quantitative approach was employed, distributing questionnaires to 200 students at Public Vocational High School 10 in Bandung, specializing in broadcasting and filmmaking programs. After analyzing 145 valid responses, the study progressed in two stages: the measurement model and the structural model. The evaluation of the measurement model confirmed the validity of all indicators and constructs, ensuring compliance with the established standards. In the structural model evaluation, one construct (computer anxiety) and four inter-construct relationships were excluded. This research enhances our understanding of factors influencing camera simulator technology acceptance among VHS students in Indonesia, shedding light on the complexities of their decision-making process in adopting this educational tool. [ABSTRACT FROM AUTHOR]

AbstractWith increasing driving automation, driving tasks are shifting from drivers to automation systems and their roles are gradually changing from drivers to passengers. While efforts have been made to explore influencing factors of highly automated vehicles (HAVs) usage intention, few studies have linked role adaptation (RA) to variables from existing acceptance models. To fulfill this research gap, a HAV acceptance model was established based on RA, and other factors (i.e., situational trust, anxiety, and perceived usefulness [PU]). The proposed model validity was verified by subjective ratings collected from a driving simulator experiment involving 105 participants each of whom rode vehicles with three different automated driving styles. Results revealed that RA was an important factor in forming HAVs acceptance during initial human-automation interaction stages and could be increased by improving situational trust, PU, or reducing anxiety. Practically, these results can provide valuable guidance for enhancing consumers’ HAV acceptances. [ABSTRACT FROM AUTHOR]

The development of tourism village websites aims to promote the potential of tourism villages in Indonesia. However, the increasing use of social media has reduced the intensity of websites being used. This research aims to determine whether the tourism village websites still influence tourists to visit the tourism village and whether it is relevant to the government's goals. Data was collected by distributing questionnaires and producing a valid sample of 242 respondents who actively use the Internet and have the potential to travel. The research model design was created by combining the DeLone & McLean IS success model with the Technology Acceptance Model (TAM). Data were analysed using the Structural Equation Modeling Partial Least Square (SEM PLS). The results show that the variables of information quality, service, and design positively affect trust, usability, ease of use, and enjoyment, positively affecting the intention to use the website. However, trust does not significantly influence the intention to use the website on the acceptance model. The frequent use of the tourism village website positively affects the tourist's motivation for the actual visit. Therefore, deeper analysis is needed to determine the variables that affect tourist confidence in developing acceptance models for further research. In addition, this research has practical implications for the government in making decisions regarding developing tourism village websites in terms of interface, user experience, information, and features. [ABSTRACT FROM AUTHOR]

Technological advances are consistently rising, with Indonesia witnessing a yearly increase in internet penetration rates. Technological advancements foster innovation in diverse industries, such as finance and banking. Financial technology is an innovative application of current technology in the financial sector, demonstrating the increasing efficiency of the financial system and services. Sharia financial technology exhibits slower growth in comparison to traditional Fintech. Nevertheless, sharia-compliant financial technology presents significant prospects. This study aims to identify the elements that influence the behavioral intentions of the millennial age in using Sharia financial technology. This study employs a quantitative research approach and utilized a questionnaire as the primary instrument for data collection. The acquired data was analyzed using the Structural Equation Model (SEM) and Smart-PLS. This study had a total of 106 participants. The research findings indicate that the acceptance model and technology utilization substantially influence the promotion of behavioral intentions to adopt Sharia Fintech. The distinguishing feature of this study is its emphasis on millennials and the factors that influence their preference to utilize Islamic financial technology.

This paper presents a proof-of-concept Augmented Reality (AR) system known as "SMARTLab" for safety training in hazardous material science laboratories. The paper contains an overview of the design rationale, development, methodology, and user study. Participants of the user study were domain experts (i.e., actual lab users in a material science research department, n = 13), and the evaluation used a questionnaire and free-form interview responses. The participants undertook a virtual lab experiment, designed in collaboration with a domain expert. While using the AR environment, they were accompanied by a virtual assistant. The user study provides preliminary findings about the impact of multiple dimensions, such as Performance Expectancy, Emotional Reactivity, and Spatial Presence, on SMARTLab acceptance by analyzing their influence on the Behavioral Intention dimension. The findings indicate that users find the approach useful and that they would consider using such a system. Quantitative and qualitative analysis of the SMARTLab assessment data suggests that a) AR-based training is a potential solution for laboratory safety training without the risk of real-world hazards, b) realism remains an important property for some aspects such as fluid dynamics and experimental procedure, and c) use of a virtual assistant is welcome and provides no sense of discomfort or unease. Furthermore, the study recommends the use of AR assistance tools (a virtual assistant, an attention funnel, and an in-situ arrow) to improve usability and make the training experience more user-friendly. [ABSTRACT FROM AUTHOR]

The research was conducted using a field study approach in Indonesia's three largest metropolitan cities. This study evaluates consumer behavior related to e-money aspects. The research was continued to evaluate the impact of using e-money on shopping behavior such as impulsive behavior in transactions and the economic efficiency felt by consumers in each transaction. This research supports the research master plan which is a leading topic of research at the University of North Sumatra, especially in the development of the creative economy through e-marketing. This research is targeted to produce recommendations for the use of e-money and study its impact on shopping behavior and spending efficiency. The results of this research will be published in reputable international journals and international proceedings every year. [ABSTRACT FROM AUTHOR]

This paper presents a proof-of-concept Augmented Reality (AR) system known as “SMARTLab” for safety training in hazardous material science laboratories. The paper contains an overview of the design rationale, development, methodology, and user study. Participants of the user study were domain experts (i.e., actual lab users in a material science research department, n = 13), and the evaluation used a questionnaire and free-form interview responses. The participants undertook a virtual lab experiment, designed in collaboration with a domain expert. While using the AR environment, they were accompanied by a virtual assistant. The user study provides preliminary findings about the impact of multiple dimensions, such as Performance Expectancy, Emotional Reactivity, and Spatial Presence, on SMARTLab acceptance by analyzing their influence on the Behavioral Intention dimension. The findings indicate that users find the approach useful and that they would consider using such a system. Quantitative and qualitative analysis of the SMARTLab assessment data suggests that a) AR-based training is a potential solution for laboratory safety training without the risk of real-world hazards, b) realism remains an important property for some aspects such as fluid dynamics and experimental procedure, and c) use of a virtual assistant is welcome and provides no sense of discomfort or unease. Furthermore, the study recommends the use of AR assistance tools (a virtual assistant, an attention funnel, and an in-situ arrow) to improve usability and make the training experience more user-friendly.

Purpose: With the current COVID-19 outbreak, the majority of the higher educational institutes (HEI) are conducting online examinations to assess their students, where both teachers and students are facing various constraints. Under these circumstances, it is very important to understand the perspectives of teachers and students towards online examinations in higher education institutions and the factors affecting their perspectives. Design/methodology/approach: This study has been conducted with the mentioned objective through online survey responses and rigorous statistical analysis of the data. The data analysis has been performed and presented using self-explanatory bar graphs, partial least squares structural equation modeling (PLS-SEM) and sentiment analysis. Findings: While the students responded diversely for items in one of the constructs: scope for malpractice, the teachers agreed with the items, indicating that the online exams are not sufficiently effective in dealing with cheating and malpractice. Few more issues related to Internet connections, short time duration for uploading answer scripts are identified as problems and need attention while framing the rules to conduct the online examinations in future. Originality/value: A new questionnaire was drafted to measure the effect of different constructs. An attempt is made to understand the perspectives of both the teachers and the students towards online examinations with respect to each of these considered constructs with a rigorous statistical analysis. [ABSTRACT FROM AUTHOR]

AbstractThis study explores the possibility of using VR as an in-flight entertainment tool. The relationship between flight-related anxiety and attitude toward using in-flight VR is examined. Furthermore, the willingness to buy airline tickets is also explored if in-flight VR entertainment is provided. The primary research model refers to the Virtual Reality Hardware Acceptance model. Flight-related anxiety variables and covariates are used as the antecedents of attitude toward using in-flight VR. In addition, the intention to buy airline tickets is also measured as the dependent variable to explore the influence of attitude toward using in-flight VR. The method of data collection is accomplished purposively by an online survey. Hypotheses testing is done using PLS-SEM. The bootstrap-based multi-group analysis (MGA) is taken to distinguish the significance level between two data groups: high and low anxiety. Perceived enjoyment is the main predictor that significantly affects the passenger’s attitude toward using in-flight VR for passengers with a high level of anxiety. However, price willingness to pay does not influence perceived enjoyment. Attitude toward using in-flight VR influences both groups’ intention to buy airline tickets. The originality of the research:Instead of using VR as a therapy tool, this study explores the possibility of using it as an in-flight entertainment tool for anxious passengers.

Research on relational body image suggests that women's body image changes across their important relationships, with women most at risk for maladaptive body image reporting the most extreme changes. To enrich our understanding of relational body image beyond that offered by prior psychologically-based quantitative research, the present study integrated critical-feminist approaches. Eighteen female-identified university students participated in a one-on-one semi-structured interview. Each participant first completed ratings of her body image across seven important relationships, which the interviewer used to create a graph depicting her relational body image. The interviewer shared the graph with the participant to prompt reflection on her subjective experiences of relational body image and asked her a series of questions. Reflexive thematic analysis, informed by a critical-realist framework, was used to identify themes. One overarching theme, "The Whole Is More than The Sum of Its Parts," demonstrated how relational body image may be understood as a unique configuration of interconnected factors within a specific relationship. Three subthemes then highlighted how interpersonal, idiographic, and systemic factors come together to influence subjective experiences of relational body image. The present results suggest that personalized treatment targets within specific relationships may be a worthwhile focus for future body image interventions. • Relational body image has only been researched from a psychological perspective. • We integrated critical-feminist approaches to offer a unique epistemological lens. • Interviews explored 18 cis-women's subjective experiences of relational body image. • Relational body image was viewed as a configuration of interconnected factors. • Idiographic, interpersonal, and systemic factors all influenced relational body image. [ABSTRACT FROM AUTHOR]

Heavy-duty vehicles are a major contributor to CO2 emissions in the transportation sector, and it is necessary to develop clean and green technologies to replace diesel trucks. Electric trucks have not reached a breakthrough in the German market. In addition to technology development, customer acceptance of new technologies is a critical factor in the success of sustainable transportation policies. This study aims to fill this knowledge gap by investigating the perceptions regarding electric trucks and providing insights into the acceptance of these technologies. Data and arguments on the expected risks and benefits of heavy-duty electric trucks, with a special focus on the battery swapping solution, were collected through a survey and expert interviews in the German commercial transport sector. The authors collected a sample of 146 qualitative responses and 61 individual statements on the expected risks and benefits of electric trucks and battery swapping. While the responses to the classified questions are overwhelmingly positive, the individual statements show that there are still many open questions. [ABSTRACT FROM AUTHOR]

This study aimed to prove the factors that influence elementary school students' interest in using the Google Classroom platform. This study also used a technology acceptance model (TAM) theory approach by adding external variables, namely motivation and habit, to the study. The survey method was conducted to collect data from 209 elementary school students. We analyzed the data using the structural equation modeling (SEM) PLS 3.0 application. The study's results showed that one hypothesis was rejected: Motivation had no significant effect on perceived usefulness. In contrast, the other seven hypotheses had a significant positive effect. Research suggested that the habit factor fits the theoretical approach of the TAM model. [ABSTRACT FROM AUTHOR]

The use of e-learning systems has become widespread in higher education institutions in Oman. However, understanding of factors that influence student acceptance and usage of these systems is lacking. This study combined the factors of the Technology Acceptance Model (TAM) and Expectation–Confirmation Theory (ECT) to examine the acceptance and use of e-learning systems by students in Omani HEIs. A survey was conducted with 220 students from Al-Buraimi University College in Oman to collect data on perceived usefulness, perceived ease of use, behavioral intention, and e-learning system use. A model was created by merging eight interactions between TAM, ECT, and seven variables. The results showed that perceived usefulness and ease of use were significant predictors of students' intention to use e-learning systems, and behavioral intention had a direct effect on the actual use of e-learning systems. These findings provide valuable insights for e-learning system designers, developers, and educators in Oman and similar contexts to design and implement e-learning systems that meet student needs and expectations. [ABSTRACT FROM AUTHOR]

The development of science and technology is becoming more and more rapid, and the educational empowerment of information technology (IT) in middle schools is becoming more and more obvious. The interesting and operational aspects of IT are suitable for middle school students, who are gradually becoming more rational in their thinking and problem-solving skills, and who are curious to discovering new things. This paper analyses the factors influencing the acceptance of IT education among middle school students by reviewing a large amount of literature and compiling technology-related theories. The research variables are determined by combining the characteristics of middle school students, and a structural equation model is constructed to select the factors influencing the acceptance of technology in secondary school IT classrooms, and the hypothesis is proposed, tested and revised, and then the scientific and effective measures are proposed according to the model. By the statistical analysis of variables, it can be seen that the average values of perceived ease of use and social influence (SI) are relatively high, which are 3.9899 and 4.1933, respectively, indicating that SI and subjective initiative have significant positive correlations with the behavioural intentions of middle school students in learning IT. As technological literacy is low, with an average value of only 3.4966, the influence of the technological literacy of IT on middle school students’ learning ability is not significant. This reflects the degree of middle school students’ mastery of the knowledge of IT, which is not enough. Further, the initiative of learning in the network is low and the needs of teachers in IT classes indirectly affect students’ learning initiative. It is hoped middle school students learn IT through the network by their initiative and provide guidance for teachers in teaching, to promote the application and deep popularity of IT in secondary school education.

This research paper examines the adoption of digital services for the vaccination during the COVID-19 pandemic in Germany. Based on a survey in Germany's federal state with the highest vaccination rate, which used digital vaccination services, its platform configuration and adoption barriers are analyzed to understand existing and future levers for optimizing vaccination success. Though technological adoption and resistance models have been originally developed for consumer-goods markets, this study gives empirical evidence especially for the applicability of an adjusted model explaining platform adoption for vaccination services and for digital health services in general. In this model, the configuration areas of personalization, communication, and data management have a remarkable effect to lower adoption barriers, but only functional and psychological factors affect the adoption intention. Above all, the usability barrier stands out with the strongest effect, while the often-cited value barrier is not significant at all. Personalization is found to be the most important factor for managing the usability barrier and thus for addressing the needs, preferences, situation, and, ultimately, the adoption of the citizens as users. Implications are given for policy makers and managers in such a pandemic crisis to focus on the click flow and server-to-human interaction rather than emphasizing value messages or touching traditional factors. [ABSTRACT FROM AUTHOR]

This research aims to prove elementary school students' interest in the adoption use of the Wordwall as a game-based learning application, which is directly proportional to the concept of learning gamification, by proposing a solution to make an interactive activity using Edu-games-based teaching materials that can be implemented with learning activities during pandemic Covid-19. This research expands TAM (Technology Acceptance Model) basic theory by adding external variables of perceived enjoyment and habit by employing a survey method and taking a sample of elementary school students, as many as 90 students, to analyze the elementary school students' interest using the Wordwall application in learning with the concept of gamification. The data is processed using SEMPLS to see the results of the tested independent variables. TAM model adopted in this study has succeeded in achieving interrelated prediction, this research indicates that perceived enjoyment and habit become the influencing factor in increasing Wordwall usage interest through key variables (PEOU), that is, the perceived ease of using the application as the most strengthen and effective key variable in this research. This study also focuses on the proposed model contribution with the final review, which impacts the proposed hypothesis predictions through the technology acceptance by elementary school students in using a game-based learning platform digital.

Massive increase in e-wallet users makes e-wallets an alternative payment transaction method in Indonesia. Research and surveys by Boku Inc. predict that e-wallet users in Indonesia will increase by three times in 2025. This study aims at identifying the factors underlying users' intention and behavior in using e-wallet services by applying the meta-UTAUT model. Variables were examined in the meta-UTAUT model, and other variables, including anxiety, trust, redressal, and service smartness, which underlie the purpose and behavior of using e-wallets from the user's perspective were added. This research is a quantitative study making use of primary data collected through online questionnaires to 269 e-wallet service users. The PLS-SEM method was utilized as a statistical analysis method with SmartPLS 3.3.3 software to process the data. This study found that trust has a positive effect on acceptance attitudes, redressal has a positive effect on trust, and service smartness has a positive effect on behavioral intentions. In contrast, anxiety negatively influences user attitudes towards e-wallet services, while effort expectancy and social influences have no direct and insignificant effect on intentions to use e-wallets. To contribute to e-wallet research that focuses more on the user's perspective, further research is on investigations of perceived security and perceived risk so that the model used can have predictive relevance with a higher R-square value. [ABSTRACT FROM AUTHOR]

This study empirically examines the effects of the acceptance of e-learning Web-apps by student on the learning outcomes achieved with their use. With this objective, two theoretically recognized purposes for use these apps were tested in a blended learning model, as a way to change the traditional face-to-face classrooms activities (apps we called ICTf) and as a virtual evaluation platform in learning (ICTv apps). The data was collected through online surveys from university students of a blended Master' degree, enrolled in different specialties. PLS-SEM analysis of the data was performed. A proportion of the variance of student learning outcomes was explained by the level of ICTv acceptance. However, the positive effect of the ICTf acceptance on this performance was not significant. Heterogeneity was observed in students' ratings on the acceptance of the Web-apps by different master's specialties, and it was higher in ICTf than in ICTv. Our research highlights the important role that the acceptance of use of electronic learning resources plays in boosting their effective learning performance. [ABSTRACT FROM AUTHOR]

The research is inspired by the COVID-19 pandemic which affects face-to-face learning and leads to the e-learning system. However, educational institutions and related parties are not prepared for this sudden change. So, it is interesting to research the students’ intentions related to learning during the pandemic in the framework of the Technology Acceptance Model (TAM). Specifically, the research aims to analyze the acceptance and satisfaction model of e-learning users amid the pandemic. The proposed model that predicts student intentions and satisfaction with e-learning is an expanded TAM with factors such as quality of work life and information technology self-efficacy. The research provides empirical evidence related to the quality of work balance and the ability to use information technology related to e-learning access, in addition to other factors in the TAM. The data are collected by distributing online questionnaires with a snowball sampling model. The sample includes students who voluntarily fill out the questionnaire from various Indonesian universities. Then, the structural equation model processes the data using a Partial Least Square (PLS) approach and analyzes it through the SmartPLS3 program. The results show that the variables of quality of work life and information technology self-efficacy, such as computers, the Internet, and communication, can explain the acceptance of elearning models, especially during a pandemic. As an implication of the results, the teachers should focus on elearning designs that facilitate access to learning material and student-teacher interactions to attract intentions and increase students’ satisfaction in using e-learning.

This research makes an attempt to understand various factors that influence the adoption of mobile applications. Within the context of the "Unified theory of acceptance and use of technology" (UTAUT) modified model, considering the upcoming demand and increase in demand for mobile-banking applications, the researcher tried to explore the theoretical concept between random people of various states in India. The primary data was collected by preparing a questionnaire and circulating it using Google Forms. The collected data was further coded into Smart PLS 4 to understand the model and structural equation with reference to mobile-banking technological adoption and factors that had a significant impact. The conclusions derived from the study is that social influence, "effort expectancy", and "trust" factors had a very strong influence on the "purchase intention", whereas "effort" and "risk" factors had a negligible impact on purchase intent. It was also found that the UTAUT model is appropriate for evaluating the technological adoption of mobile-banking applications. With the advent of many players in the market and their unique banking management applications on mobile platforms, consumers are moving towards different third-party app than their origin bank in which they hold account. This has forced banking institutions to up the pace in the competition, introducing a lot of new features. It is also important to understand that, as a customer, there are a lot of attributes that he would be looking into for adoption. This paper is an attempt to understand the advancements in various variables that consumers would look at in the area of mobile-banking applications. [ABSTRACT FROM AUTHOR]

The last-mile shuttle bus service with automation and electrification has emerged to fill gaps in on-demand transportation systems and its goals are to satisfy the door-to-door mobility needs of residents. It could help to enhance the happiness of public travel in cold-climate environments, which is also considered a pro-social public transportation service. Although it has the potential to promote sustainable and environmentally friendly mobility systems, the successful implementation of last-mile shuttle bus services with automation and electrification highly depends on individuals' willingness to accept. In this paper, a theoretical acceptance model for last-mile shuttle bus services with automation and electrification is proposed. Partial least squares structural equation modeling is employed to examine research model in accordance with 986 valid questionnaires answered by public in snow and ice environments. The outcomes show that the proposed model accounts for 73.4% of the variance in behavioral intention to utilize last-mile shuttle bus services with automation and electrification. The strongest determinants of behavior intention are attitude and perceived usefulness. In addition, perceived risk negatively affects behavioral intention. We also provide theoretical findings and practical suggestions for developing last-mile shuttle bus services with automation and electrification based on the results and our analysis. [ABSTRACT FROM AUTHOR]

This study is a phase in a research chain to explore the factors affecting users of e-government in Hungary, and the current study extended the model (UTAUT2), which has been widely applied in commercial contexts and limited in the public sector contexts. The study extends the model with additional factors that may significantly impact the e-government system, such as trust, awareness and system characteristics (interactivity, enjoyment and flexibility), all the variables the researcher put under three significant variants. In the methodology, this paper used Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis tests (CFA) to explore and extract the factors that affect the acceptance. The questionnaire was distributed to a random sample of students from the University of Debrecen in Hungary. The results showed that the factors related to system characteristics merged the three factors in two factors which are System Interactivity and System flexibility, and excluded the third factor the system enjoyment. Finally, Habit was also excluded from the original model. The study established a theoretical framework suitable for testing a larger sample of the Hungarian community and a reference for other researchers.

This article investigates the acceptance model of the technology of tuberculosis integrated information system (TIIS) adopted and its effects on the actual use in the Indonesian healthcare facility. Some factors such as the perceived usefulness and ease of use are investigated to understand their relationship with the system’s actual use. Quantitative research has been done in this study using a structural equation model (SEM) and partial least square. This study shows that respondents’ perceived usefulness and the ease of use of TIIS positively affect the adopted system’s actual use. The evaluation of the influence of perceived usefulness and perceived ease of use and external variables such as subjective, image, job relevance, and facilitating condition on the intention to use using TIIS to support the implementation of the program of prevention of infectious diseases in a developing country such as Indonesia would help the government to treat the tuberculosis disease better.

Heavy-duty vehicles are a major contributor to CO2 emissions in the transportation sector, and it is necessary to develop clean and green technologies to replace diesel trucks. Electric trucks have not reached a breakthrough in the German market. In addition to technology development, customer acceptance of new technologies is a critical factor in the success of sustainable transportation policies. This study aims to fill this knowledge gap by investigating the perceptions regarding electric trucks and providing insights into the acceptance of these technologies. Data and arguments on the expected risks and benefits of heavy-duty electric trucks, with a special focus on the battery swapping solution, were collected through a survey and expert interviews in the German commercial transport sector. The authors collected a sample of 146 qualitative responses and 61 individual statements on the expected risks and benefits of electric trucks and battery swapping. While the responses to the classified questions are overwhelmingly positive, the individual statements show that there are still many open questions.

The electric shuttle bus service is a pro-environmental transportation method with the advantages of conserving fossil fuel consumption and reducing greenhouse gas emissions. It could also provide flexible shuttle services and enhance travel convenience for residents. Although it has many advantages, users' willingness to accept the electric shuttle bus service is crucial to its successful implementation. A theoretical research model that integrates UTAUT and NAM with an attitude construct is developed based on the data collected in China to explore antecedents of using electric shuttle bus services. The validity of the proposed model is examined by partial least squares structural equation modeling. According to analysis results, the proposed research model could explain 73.5% of the variance in adoption intention. Results demonstrate that attitude is the strongest antecedent of using electric shuttle bus services. Performance expectancy, personal norms, and social influence are the direct antecedents, and ascription of responsibility and effort expectancy is demonstrated as the indirect antecedents of using electric shuttle bus services. Results also offer valuable insights into how electric shuttle bus services can be accepted and implemented more readily. [ABSTRACT FROM AUTHOR]

In recent years, the telecommunications sector is no longer limited to traditional communications, but has become the backbone for the use of data, content and digital applications by individuals, governments and companies to ensure the continuation of economic and social activity in light of social distancing and total closure in most countries in the world. Therefore, electronic government (e-Government) and mobile government (m-Government) are the results of technological evolution and innovation. Hence, it is important to investigate the factors that influence the intention to use m-Government services among Jordan's society. This paper proposed a new m-Government acceptance model in Jordan (AMGS); this model combines the Information System (IS) Success Factor Model and Hofstede Cultural Dimensions Theory. The study was conducted by surveying different groups of the Jordanian community. A structured questionnaire was used to collect data from 203 respondents. Multiple regression analysis has been conducted to analyze the data. The results indicate that the significant predictors of citizen intention to use m-Government services in Jordan are Information Quality, Service Quality, Uncertainty Avoidance, and Indulgence vs. restraint. While, the results also suggest that Power Distance is not a significant predictor of citizen intention to use m-Government services. [ABSTRACT FROM AUTHOR]

During the COVID-19 lockdown, all the courses at Imam Abdulrahman Bin Faisal University (IAU) were delivered fully online, including field-training courses. Since there was no previous experience in offering field-training courses in a distance format, the current study aims to identify factors that could impact students' behavioral intention to accept the e-training approach in teaching field training courses at IAU. In order to gather the data, the researchers designed a questionnaire based on the UTAUT model and they ensured the face, content, and construct validity of the questionnaire by sending it to five experts in the relevant field and by using exploratory factor analysis. Also, all the questionnaire's items were reliable since the Cronbach's alpha values were above 0.77 for all the items. A total of 397 participants provided valid responses. The result of this study indicated that Effort Expectancy (EE), Facilitating Condition (FC), Performance Expectancy (PE), and Social Influence (SI), respectively were the primary predictors for students' intention to use e-training. These factors explained 32.1% of the variance in students' behavioral intentions. As far as students' gender is concerned, there were significant differences between students' PE, FC, and SI. Based on these results, policymakers at IAU will have a clear image of the most essential factors that colleges should target to increase students' acceptance of e-training. [ABSTRACT FROM AUTHOR]

Smart devices and the corresponding new technologies have established themselves within our society. Since the release of the smartphone game Pokémon Go, the field of augmented reality (AR) - the enrichment of reality with information, realized by smart devices such as tablets, data glasses or smartphones - has been experiencing an upswing. Additionally, the industry is starting to integrate AR applications to increase efficiency. In this respect, HR managers play a key role in the implementation of such technology. They maintain direct contact with employees, have an overview of the entire company and thus are often responsible for change processes. The paper analyses the potential of AR within a company from a personalist’s point of view and discusses critical factors both in theory and practice. The paper validates the technological possibilities and shows results from a qualitative analysis from focus group discussions. The qualitative acceptance model displays factors influencing the implementation of AR.

Today’s increasing demand for electricity requires solutions that better align with energy demand and supply. Innovative technological solutions such as smart metering applications are gaining popularity among electricity providers. Despite numerous benefits, smart meters, a part of the technology on the Internet of Things (IoT), continue to struggle for widespread consumer acceptance due to limited knowledge on electricity savings and environmental awareness. These factors were examined in isolation and have not been theoretically incorporated or examined. Hence, this study investigates the factors that influence residential consumers’ acceptance of smart meters by integrating electricity-saving knowledge and environmental awareness with the second generation of “unified theory of acceptance and use of technology” (UTAUT2). The literature revealed an important link between users’ behavioural intention and users’ use behaviour. Well-established theories of acceptance like “technology acceptance model” (TAM) and UTAUT, incorporate the behavioural intention variable in the nomological network of technology adoption determinants. This study highlighted the impact of users’ behavioural intention on users’ use behaviour, which was not examined previously by any of the smart meter acceptance models. The data were collected from 318 consumers of residential smart meters in Putrajaya and Malacca, the cities in Malaysia, and were statistically tested using SME-PLS The study confirms that adding electricity-saving knowledge and environmental awareness to the UTAUT2 leads to a significant increase in the explained variance in consumer acceptance of smart meter.

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Since the COVID-19 pandemic hit, several hospitals in Indonesia have started to develop teleconsultation services to expand the reach of health services and prevent the spread of the COVID-19 virus. Therefore, this study was conducted with the aim of analyzing the influence of user and technological dimensions on the acceptance of the use of hospital teleconsultation applications by users. The research was conducted using quantitative methods with data from questionnaires distributed online. The respondent criteria for this study were Indonesians aged 17 years and over who knew about or had used a hospital's teleconsultation application, and this resulted in 534 respondents. Data processing was carried out using the covariance-based structural equation modeling method with the AMOS 24 application. The user behavior and technology dimensions are influence intention to use telemedicine applications. Furthermore, the results showed that contamination avoidance, safety, reliability, professionalism, perceived ease of use, perceived usefulness, and information quality have a significant positive influence on the behavioral intention to use hospital telemedicine applications. Meanwhile, facilitating conditions and social influence were not shown to have a significant positive effect on the behavioral intention to use such applications. Finally, behavioral intention to use significantly and positively influences actual use. This research can help hospitals and the government in providing guidance in terms of developing telemedicine applications.

This study is a phase in a research chain to explore the factors affecting users of egovernment in Hungary, and the current study extended the model (UTAUT2), which has been widely applied in commercial contexts and limited in the public sector contexts. The study extends the model with additional factors that may significantly impact the egovernment system, such as trust, awareness and system characteristics (interactivity, enjoyment and flexibility), all the variables the researcher put under three significant variants. In the methodology, this paper used Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis tests (CFA) to explore and extract the factors that affect the acceptance. The questionnaire was distributed to a random sample of students from the University of Debrecen in Hungary. The results showed that the factors related to system characteristics merged the three factors in two factors which are System Interactivity and System flexibility, and excluded the third factor the system enjoyment. Finally, Habit was also excluded from the original model. The study established a theoretical framework suitable for testing a larger sample of the Hungarian community and a reference for other researchers. [ABSTRACT FROM AUTHOR]

The electric shuttle bus service is a pro-environmental transportation method with the advantages of conserving fossil fuel consumption and reducing greenhouse gas emissions. It could also provide flexible shuttle services and enhance travel convenience for residents. Although it has many advantages, users’ willingness to accept the electric shuttle bus service is crucial to its successful implementation. A theoretical research model that integrates UTAUT and NAM with an attitude construct is developed based on the data collected in China to explore antecedents of using electric shuttle bus services. The validity of the proposed model is examined by partial least squares structural equation modeling. According to analysis results, the proposed research model could explain 73.5% of the variance in adoption intention. Results demonstrate that attitude is the strongest antecedent of using electric shuttle bus services. Performance expectancy, personal norms, and social influence are the direct antecedents, and ascription of responsibility and effort expectancy is demonstrated as the indirect antecedents of using electric shuttle bus services. Results also offer valuable insights into how electric shuttle bus services can be accepted and implemented more readily.