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This study assessed the acceptance and satisfaction levels of Grade Six learners in Sierra Bullones District, Sierra Bullones, Bohol, during the School Year 2023-2024, focusing on video-based learning materials. The research aimed to craft an enhanced lesson guide based on the findings. Specifically, it aimed to evaluate the learners' acceptance of video-based materials and measure their satisfaction levels, while also exploring the correlations between perceived usefulness, perceived ease of use, behavioral intention to use, actual usage, and satisfaction. The study employed a descriptive-correlational method, using a quantitative descriptive survey and an adapted questionnaire based on previous studies. Data were collected from Grade 6 learners across five elementary schools in Zone 2 of Sierra Bullones, Bohol, using a structured ten-day data-gathering process. Analysis included weighted mean calculations and Pearson Product Moment Coefficient of Correlation to interpret the findings. Results indicated high levels of acceptance and satisfaction among learners with video-based learning materials, underscoring their perceived usefulness and ease of use. Significant positive correlations were found between these factors and satisfaction, highlighting the materials' impact on learning outcomes. The study's findings support the Technological Acceptance Model, emphasizing the importance of designing and implementing effective instructional materials to enhance educational practices and learner satisfaction. Recommendations include continual improvement of materials, educator training, further research on acceptance factors, and exploration of instructional design elements to optimize learner learning experiences. [ABSTRACT FROM AUTHOR]

Internet-based online learning models are an option for more effective and efficient learning. The use of the Learning Management System (LMS) application in university education has become mandatory following the Covid-19 pandemic. This research aims to investigate the Technology Acceptance Model (TAM) in analyzing students' perceptions, attitudes, and behavior regarding the acceptance and use of LMS. The goal is to provide recommendations for enhancing the effectiveness of learning outcomes in higher education. This research was conducted at a private university (PTS) in Bogor by taking a random sample of 720 respondents from a population of 2,212 new students with a sampling error of 5%. The research results show that technology acceptance factors follow the process as described in attitude theory and the theory of planned behavior. The willingness to use the LMS well is greatly influenced by the cognitive processes that students receive in building their perception of ease and usefulness in accepting technology in learning. [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.

The rapid development of technology makes the acceptance of autonomous vehicles (AVs) in modern transport a key issue. The aim of the present research was to explore the impact of AVs on behavioral intention to use. An online survey was conducted, in which factors such as perceived usefulness (PU), perceived ease of use (PEU), perceived trust (PT), social influence (SI), and behavioral intention to use (BIU) were investigated. As a result of the investigation, the correlation analysis revealed that there was a significant positive relationship between the intention and all the factors examined. The practical utility of this research is that the results will support developers and vehicle manufacturers in understanding how different social factors influence the adoption of AVs.

Government procurement of goods/services is essential in facilitating the success of the organization's strategic goals and government work programs. For this reason, the results of government procurement of goods/services must be of high quality at competitive prices and at the right time to support the main tasks and functions of regional apparatus, regional development and community economic growth. This study aimed to explain the effect of perceived usefulness, perceived ease of use and attitude toward using on behavioral intention to use, as well as the effect of perceived usefulness and perceived ease of use on behavioral intention to use mediated by attitude toward using. The research subjects were goods/services procurement actors within the Bali provincial government, with a sample of 100 people. Determination of the sample using a non-probability sampling method, namely purposive sampling. Data were analyzed using the SEM (Structural Equation Modeling) technique. The results showed that perceived usefulness, perceived ease of use, and attitude toward using had a positive and significant effect on behavioral intention to use, perceived usefulness had a positive but not significant effect on attitude toward using, perceived ease of use had a positive and significant effect on attitude toward using , attitude toward using does not mediate the effect of perceived usefulness on behavioral intention to use, and attitude toward using mediates the effect of perceived ease of use on behavioral intention to use. The practical implication that can be given from the findings of this study is that this study can be used as a basic model for evaluating the Local Electronic Catalog strategy for perceived usefulness, perceived ease of use, attitude toward using and behavioral intention to use. Based on the results of statistical data, that is among the three variables that influence behavioral intention to use.

This article explores the factors that influence the behavioral intention to use Shopeepay, an e-wallet service in DKI Jakarta, Indonesia. The study reveals that perceived usefulness, perceived ease of use, and trust all have a significant positive impact on behavioral intention, while perceived enjoyment has a positive but insignificant impact. Trust is identified as the most influential factor, followed by perceived ease of use and perceived usefulness. The article also acknowledges the growing popularity of e-wallets in Indonesia, but notes limitations in the research, such as the focus on e-wallet users in the DKI Jakarta area and the lack of extensive theoretical studies. Overall, the findings suggest that users' perceptions of usefulness, ease of use, and trust can shape their intention to use e-wallet applications like Shopeepay. The study recommends that Shopeepay prioritize user experience and ensure the security of personal information to enhance trust and encourage usage. [Extracted from the article]

Fintechs are startups that operate in the financial sector and have gradually been receiving space in the market. However, it is still not clear which elements lead individuals, especially those involved in the business field, to adopt and use these services. Thus, this study aims to analyze which elements encourage the behavioral intention to use Fintech services from the perspective of students in the business field. The theoretical basis and hypothesis development were based on the Unified Theory of Acceptance and Use of Technology (UTAUT), which contemplates the facilitating conditions, performance expectancy, effort expectancy, social influence, and the behavioral intention to use said services. The study also included the variable "security" as an antecedent. Age and gender were controlled for this study. A survey resulted in a sample of 107 students, and the data was analyzed with a mixed-method approach: partial least squares - structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). With PLS-SEM, the findings demonstrate the positive effect of performance expectancy, effort expectancy and security on the behavioral intention to use fintech services. The fsQCA showed that different causal configurations can lead students to a high adoption of services provided by these startups. This study brings up new evidence that contributes to the UTAUT theory by intertwining this discussion with the security variable perceived during technology usage. Furthermore, it expands the entire discussion to the context of accepting a contemporary technology. Regarding the students, practical evidence is gathered regarding the determinants of their intention to use financial services. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Applied Business & Economics (JABE) is the property of Universitas Indraprasta PGRI 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.)

Understanding children's behavior and intentions to subscribe to YouTube channels are important for production companies and parents. This study analyzed factors influencing children's behavioral intention to subscribe to YouTube channels using UTAUT 2 model and SEM-PLS analysis. The samples were 100 kids aged 7 to 12 who live in the Greater Jakarta area. Data were collected through an online questionnaire. The results showed that habit and social influence significantly influenced children's behavioral intention to use Kidz YouTube Channel. Children's behavioral intention to use Kidz YouTube Channel significantly influenced children's usage behavior. Moreover, children's usage behavior significantly influenced their intention to subscribe to Kidz's YouTube Channel. The study indicated that children's decision to subscribe to YouTube channels was simple and relied on their habits and social influence. Therefore, parents need to supervise children's activities on YouTube. Meanwhile, the content creator company could optimize a routine schedule for uploading a new video based on selected themes and also needs to increase parents' awareness of the safety of their program. [ABSTRACT FROM AUTHOR]

This study aims to determine the effect of perceived usefulness, perceived ease of use, attitude toward using, and behavioral intention to use the service of e-commerce-based accounting information systems on Millennial MSME performance. The population in this research were all Millennial MSME actors in Medan City. The research sample comprised 46 respondents from this population using the purposive sampling method. According to the findings of this research, perceived usefulness has a positive and significant effect on MSMEs' performance, perceived ease of use has no significant effect on MSMEs' performance, attitude toward using has no significant effect on MSMEs' performance, and behavioral intention to use has no significant effect on MSMEs' performance. However, perceived usefulness, perceived ease of use, attitude toward using, and behavioral intention to use all significantly impact MSMEs' performance. This research highlights the effectiveness of MSME technology acceptance in adopting e-commerce and provides an overview of the condition of MSMEs amid technological advances, as well as empirical evidence to carry out further guidance for MSME actors.

Background: The utilization of virtual healthcare services, particularly telemedicine, has been accelerated by the COVID-19 pandemic. Although the pandemic is no longer the primary concern, telemedicine still holds potential for long-term adoption. However, implementing telemedicine in Indonesia as an online platform for remote healthcare delivery still faces issues, despite its potential. Further investigation is required to identify the factors that affect its adoption and develop strategies to surmount implementation challenges. Objective: This study aims to examine and enrich knowledge about the adoption of telemedicine in Indonesia. Methods: A cross-sectional survey was conducted through an online questionnaire to collect data. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was employed by integrating with several factors, such as eHealth Literacy, Privacy Concerns, and Trust. Gender and age were considered as moderating variables. Data samples were analyzed using Partial Least Square - Structural Equation Modeling (PLS-SEM). Results: The findings suggest that performance expectancy, effort expectancy, social influence, eHealth literacy, and trust have a significant impact on adults' behavioral intention to use telemedicine. However, facilitating condition, price value, and privacy concern do not show any significant effects on adults' Behavioral Intention to Use Telemedicine. Conclusion: This study highlights the importance of understanding adoption factors to develop effective strategies. Results show performance expectancy, effort expectancy, social influence, eHealth literacy, and trust are significant factors, while facilitating condition, price value, and privacy concern are not. The UTAUT2 model is a good predictive tool for healthcare adoption. To increase usage intention, several aspects must be considered in the implementation of telemedicine. [ABSTRACT FROM AUTHOR]

Aim/Purpose This study aims to examine the ten factors from the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Unified Theory of Acceptance and Use of Technology (UTAUT) theories in order to analyze behavioral intentions to use the Indonesian online capital market investment platforms and the effect of behavioral intentions on actual usage. Background The potential growth of capital market investors in Indonesia is large, and the low use of the Internet for investment purposes makes it necessary for stakeholders to understand the factors that affect people's intentions to invest, especially through online platforms. Several previous studies have explained the intention to use online investment platforms using the TAM and TPB theories. This study tries to combine TAM, TPB, and UTAUT theories in analyzing behavioral intentions to use an online capital market investment platform in Indonesia. Methodology The research approach employed is a mixed method, particularly explanatory research, which employs quantitative methods first, followed by qualitative methods. Data were collected by conducting interviews and sending online surveys. This study was successful in collecting information on the users of online capital market investment platforms in Indonesia from 1074 respondents, which was then processed and analyzed using Covariance-Based Structural Equation Modeling (CB-SEM) with the IBM AMOS 26.0 application. Contribution This study complements earlier theories like TAM, TPB, and UTAUT by looking at the intention to use online capital market investment platforms from technological, human, and environmental viewpoints. This study looks at the intention to use the online capital market investing platform as a whole rather than separately depending on investment instruments. This study also assists practitioners including regulators, the government, developers, and investors by offering knowledge of the phenomena and factors that can increase the capital market's investment intention in Indonesia. Findings Attitudes, perceived ease of use, perceived behavioral control, subjective norm, and national pride were found to be significant predictors of the intention to use online investment platforms in Indonesia, whereas perceived usefulness, perceived risk, perceived trust, perceived privacy, and price value were not. Recommendations for Practitioners All practitioners must be able to take steps and strategies that focus on factors that have a significant impact on increasing usage intentions. The government can enact legislation that emphasizes the simplicity and convenience of investment, as well as launch campaigns that encourage people to participate in economic recovery by investing in the capital market. Meanwhile, the developers are concentrating on facilitating the flow of investment transactions through the platform, increasing education and awareness of the benefits of investing in the capital market, and providing content that raises awareness that investing in the capital market can help to restore the national economy. Recommendations for Researchers Further research is intended to include other variables such as perceived benefits and perceived security, as well as other frameworks such as TRA, to better explain individuals' behavioral intentions to use online capital investment platforms. Impact on Society This study can help all stakeholders understand what factors can increase Indonesians' interest in investing in the capital market, particularly through online investment platforms. This understanding is expected to increase the number of capital market participants and, as a result, have an impact on economic recovery following the COVID-19 pandemic. Future Research Future research is expected to investigate additional factors that can influence individuals' behavioral intention to use an online capital market investment platform, such as perceived benefits and perceived security, as well as the addition of control variables such as age, gender, education, and income. International research across nations is also required to build a larger sample size in order to examine the behavior of investors in developing and developed countries and acquire a more thorough understanding of the online capital market investment platform. [ABSTRACT FROM AUTHOR]

Background: The swift shift toward internet hospitals has relied on the willingness of medical practitioners to embrace new systems and workflows. Low engagement or acceptance by medical practitioners leads to difficulties in patient access. However, few investigations have focused on barriers and facilitators of adoption of internet hospitals from the perspective of medical practitioners. Objective: This study aims to identify both enabling and inhibiting predictors associated with resistance and behavioral intentions of medical practitioners to use internet hospitals by combining the conservation of resources theory with the Unified Theory of Acceptance and Use of Technology and technostress framework. Methods: A mixed methods research design was conducted to qualitatively identify the factors that enable and inhibit resistance and behavioral intention to use internet hospitals, followed by a quantitative survey-based study that empirically tested the effects of the identified factors. The qualitative phase involved conducting in-depth interviews with 16 experts in China from June to August 2022. Thematic analysis was performed using the qualitative data analysis software NVivo version 10 (QSR International). On the basis of the findings and conceptual framework gained from the qualitative interviews, a cross-sectional, anonymous, web-based survey of 593 medical practitioners in 28 provincial administrative regions of China was conducted. The data collected were analyzed using the partial least squares method, with the assistance of SPSS 27.0 (IBM Corp) and Mplus 7.0 (Muthen and Muthen), to measure and validate the proposed model. Results: On the basis of qualitative results, this study identified 4 facilitators and inhibitors, namely performance expectancy, social influence, work overload, and role ambiguity. Of the 593 medical practitioners surveyed in the quantitative research, most were female (n=364, 61.4%), had a middle title (n=211, 35.6%) or primary title (n=212, 35.8%), and had an average use experience of 6 months every year. By conducting structural equation modeling, we found that performance expectancy (β=−.55; P <.001) and work overload (β=.16; P =.005) had the most significant impact on resistance to change. Resistance to change fully mediated the influence of performance expectancy and partially mediated the influences of social influence (variance accounted for [VAF]=43.3%; P =.002), work overload (VAF=37.2%; P =.03), and role ambiguity (VAF=12.2%; P <.001) on behavioral intentions to use internet hospitals. In addition, this study found that the sex, age, professional title, and use experience of medical practitioners significantly moderated the aforementioned influencing mechanisms. Conclusions: This study investigated the factors that facilitate or hinder medical practitioners' resistance to change and their behavioral intentions to use internet hospitals. The findings suggest that policy makers avoid the resistance and further promote the adoption of internet hospitals by ensuring performance expectancy and social influence and eliminating work overload and role ambiguity. [ABSTRACT FROM AUTHOR]

Without the need for third-party authorization, cryptocurrency allows for anonymous, secure, rapid, and low-cost financial transactions. Cryptocurrencies are becoming more widely acknowledged around the world, but their uses remain limited. The present study investigated the factors that propel behavioral intention of individuals to use cryptocurrency in Jordan using the extended Theory of Reasoned Action (TRA) model. Survey questionnaires were sent to 1000 active Facebook users to gather data, and the entire 600 valid responses were evaluated utilizing Structural Equation Modeling (SEM). Subjected norm, perceived risk, perceived usefulness, perceived enjoyment, perceived ease of use and trust, all impacted intention to use cryptocurrency positively, while attitude towards cryptocurrency affected intention to use cryptocurrency. Additionally, attitude towards cryptocurrency was influenced by perceived risk, perceived usefulness, perceived enjoyment, and perceived ease of use; while facilitating condition did not show influence. Also, attitude towards cryptocurrency had a mediating influence on the association between subjected norm, perceived risk, perceived usefulness, perceived enjoyment, and intention to use cryptocurrency.

Copyright of Transformations in Business & Economics is the property of Vilnius 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.)

The study aims at determining the predictors of mobile grocery shopping applications (MGSAs) acceptance and their impact on behavioral intention to use MGSA during COVID-19 outbreaks. Based on the technology acceptance model and theory of planned behavior, we analyzed the influence of social distancing, fear of COVID-19, subjective norms, shopping attitudes, ease of use, usefulness on behavioral intention to use MGSAs. Data were collected from 565 users and analyzed with structured equation modeling (SEM) using SMART PLS 3 software. Findings depicted that shopping attitudes were predicted by subjective norms, ease of use, and usefulness. In contrast, behavioral intention is predicted by subjective norms, attitudes, ease of use, usefulness, fear of COVID-19, and social distancing. The study contributes to the extant literature incorporating fear of COVID-19 and social distancing as psychological and situational variables into the technology acceptance model and theory of planned behavior, which may guide the marketing practitioners to promote online sales in an unprecedented situation. [ABSTRACT FROM AUTHOR]

This study discusses and analyzes the relationship between the influence of selfefficacy and social influence on the behavioral intention to use Zoom Cloud Meeting in the implementation of virtual learning for Brawijaya University students. In this study, the researcher used random sampling to take samples, namely from 100 students from various faculties. This research uses descriptive quantitative. This study uses the theory proposed by Davis, namely the Technology Acceptance Model (TAM). In this study, the researchers modified the core theoretical concepts, namely Perceiver Usefulness (PU), Perceived Easy of Use (PEOU), and Behavioral Intention to Use (BITU) by adding external variables, namely Self-Efficacy and Social Influence on the use of Zoom Cloud Meetings in virtual operations. student learning Universitas Brawijaya. [ABSTRACT FROM AUTHOR]

Health problems in Thailand are escalating because the nation has entered into an aging society era. There are more patients, which make it hard for everyone to access hospital care. DoctorMe is the only application in Thailand that provides self-care advice at no charge. DoctorMe could enhance a capacity of public health services. It promotes self-care, which results in diminishing reliance on healthcare professional. When the number of application download is taken into account, the application shows a low success rate in creating a behavioral intention to use. There are only 0.285 percent of Thai smartphone users who have downloaded DoctorMe. This research aims to 1) study factors that comprise the behavioral intention to use, 2) determine an impact that such factors have on the behavioral intention to use, and 3) develop a model to represent the behavioral intention to use among the target population. This research employs a mixed-method research approach, between a qualitative and a quantitative research. For the qualitative research, 17 semistructured interviews are carried out with individuals, who never use DoctorMe and belong to the target group of Generation Z in Bangkok. A taxonomy analysis is employed for data analysis. For the quantitative research, samples are 300 individuals, who belong to the Generation Z in Bangkok. The sample size complies to the sample size requirements for structural equation model. A multi-stage sampling technique is chosen, and data is collected through questionnaires. For data analysis, the second order confirmatory factor analysis in structural equation modelling is selected. The research finds that 1) technology acceptance model (TAM), diffusion of innovation theory (DOI), social cognitive theory (SCT), and channel expansion theory (CET), which comprise the behavioral intention to use, are high, 2) each has a factor loading score (1) of: TAM (1 = 0.88), DOI (1 = 0.91), CET (1 = 0.91) and CET (1 = 0.67). Each factor has an impact on the behavioral intention to use at a statistic significance level of .05, and 3) the author proposes a model called the TDSC (TAM-DOI-SCT-CET) model. It presents concepts and methods to improve Generation Z's behavioral intention to use DoctorMe. This research presents information on mHealth usage among citizens, in which there is limited information, and determines factors that make up a behavioral intention to use. It also provides know-hows to mHealth entrepreneurs to improve a behavioral intention to use, which could promote usage among current users, and attract new groups of users. In addition, it promotes the Thailand 4.0 policy, especially on the part responsible by the Ministry of Public Health, through networks of private bodies and citizens so that they are educated in managing their own behaviors. [ABSTRACT FROM AUTHOR]

This study was used to determine the acceptance preferences of OVO technology in business faculty students in Surabaya using the TAM theory model (Technology Acceptance Model) that focuses on Perceived Efficacy Factors, Perceived Ease of Use, Perceived Usage that is Easy to Use, and Perceptions of Use that are Perceived and Behavior Intentions for Use. OVO service is a mobile application that allows users to transact using electronic money. There is a trend of using electronic money payments using transitions to make transactions easier, more effective, and efficient, but still safe. Survey data were collected from 160 OVO users and analyzed using quantitative methods with multiple linear regression analysis. The results of this study indicate that the Perceived Risks and TAM core constructs such as Perceived Usability and Perceived Ease of Use have been proven to be both partially and simultaneously significant for the Behavior of Intention to Use. This study explains the significant relationship between constructs and discussing this information can be used to increase OVO acceptance among Surabaya students. This research is based on primary data collection and interpretation. This provides comprehensive insights about OVO acceptance to students in the city of Surabaya.

This study aims to determine the factors that influence behavioral intentions to use E-wallet. The factors tested include application quality, perceived usefulness, perceived ease of use, and attitude toward using. The population in this study is college students in Jember Regency, Indonesia. Data analysis is carried out using Variance-based Partial Least Square. The number of samples used is 180 college students as users of the e-wallet application. Six hypotheses are tested, and four hypotheses are successfully accepted. Perceived ease of use has a positive effect on perceived usefulness. Perceived usefulness has a positive effect on attitude toward using e-wallet applications. Attitude plays a vital role in behavioral intentions to use e-wallets. The quality of the e-wallet application does not affect the level of perceived usefulness. The perceived ease of use of the application has no direct effect on attitude. This study's results are beneficial for e-wallet providers to increase the level of the use of e-wallet.

Purpose analyze and retest the technology use and acceptance model proposed by Venkatesh et al. (2003) where there are four main variables that affect user intention and user behavior in using information technology. Methodology this study uses a quantitative method, and data obtained using questionnaires. Sampling uses survey techniques with a total sample of 50 employees of the Tourism and Culture Office of Malang Regency. The analysis technique in processing data uses the SPSS program. Research findings this study shows that in the technology acceptance model, user intention and user behavior can be influenced by four variables such as performance, effort, social influence, and supporting conditions. DOI: https://doi.org/10.26905/jtmi.v6i1.4156

Without the need for third-party authorization, cryptocurrency allows for anonymous, secure, rapid, and low-cost financial transactions. Cryptocurrencies are becoming more widely acknowledged around the world, but their uses remain limited. The present study investigated the factors that propel behavioral intention of individuals to use cryptocurrency in Jordan using the extended Theory of Reasoned Action (TRA) model. Survey questionnaires were sent to 1000 active Facebook users to gather data, and the entire 600 valid responses were evaluated utilizing Structural Equation Modeling (SEM). Subjected norm, perceived risk, perceived usefulness, perceived enjoyment, perceived ease of use and trust, all impacted intention to use cryptocurrency positively, while attitude towards cryptocurrency affected intention to use cryptocurrency. Additionally, attitude towards cryptocurrency was influenced by perceived risk, perceived usefulness, perceived enjoyment, and perceived ease of use; while facilitating condition did not show influence. Also, attitude towards cryptocurrency had a mediating influence on the association between subjected norm, perceived risk, perceived usefulness, perceived enjoyment, and intention to use cryptocurrency. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this paper was to study the views of faculty members of Iranian universities on service innovation and service quality in the intelligent library and their behavioral intentions during the Covid-19 crisis. Methodology: The method used to perform this applied research was analytical survey. The sample size was equal to 384 faculty members of universities in the provincial capitals of the country. The data collection tool was a questionnaire. Seven faculty members confirmed the content validity of the questionnaire. The overall reliability of the questionnaire was equal to .853 which indicated the optimal reliability of the questionnaire. The data analysis was performed using multiple regression and structural equation modeling using SPSS software version 23 and Amos version 21. Findings: Findings showed that service quality and service innovation could significantly explain the variance of perceived usefulness and perceived ease of use. On the other hand, parabolic correlation coefficients showed that the variable of service innovation was 20.79 percent and the quality of service was 32.71 percent of the variance of the variable of perceived usefulness. In adition, the variable of service innovation was 13.91 percent and the quality of service was 35.16 percent of the variance of the variable, which in turn, explain the perceived ease of use. The variables of perceived usefulness and perceived ease of use were able to explain the changes related to attitude toward using. On the other hand, the perceived usefulness should be 12.25 percent and the perceived ease of use should explain 21.06 percent of the variance of the variable of attitude toward using. Besides, the variable of attitude toward using was able to explain the changes related to the behavioral intention use and the variable of attitude toward using explained 61.77 percent of the variance of the variable of behavioral intention use. Moreover, the findings of the indicators of the proposed model indicated that it had a desirable and acceptable fit. Conclusion: Library users' satisfaction depends on providing quality information in the shortest possible time. Therefore, it is necessary to first have complete knowledge of the needs of users and then to meet these needs in a situation that can meet those needs to some extent. On the other hand, in times of crisis, libraries must provide quality information resources to their users online. This will not be possible unless libraries move towards intelligent libraries. Therefore, considering the importance of service quality and service innovation in university libraries, administrators of universities and libraries should take a dynamic approach to create their own intelligent libraries, evaluate and view the views of key library users in different periods, because this evaluation has strengths and weaknesses. In general, the results of this research are useful and effective in improving the quality of intelligent libraries and facilitating interaction between users and intelligent libraries. [ABSTRACT FROM AUTHOR]

This paper identifies the development of cryptocurrency’s regulations and influences of people’s intentions to use cryptocurrency in Thailand. The analysis of behavioral intentions to use cryptocurrency is conducted applying the unified theory of acceptance and use of technology (UTAUT) model. The study used the questionnaire survey, and applied the multiple regression analysis to analyze the influences of Thai people to use cryptocurrencies. This research categorizes the purposes of cryptocurrency into three groups including: the first purpose is investment, as people buy cryptocurrency for wealth increasing; second, it is a means of payment for goods and services; and the third purpose is collecting points and redeeming rewards, as people are able to simply compare cryptocurrency to credit card points and redeem them for rewards. Regarding the findings, social influence is the most important factor that persuades people to use cryptocurrency. The other determinants in the UTAUT model that encourage people intention to use cryptocurrency are facilitating conditions, effort expectancy, and performance expectancy [ABSTRACT FROM AUTHOR]

This study proposes an e-government adoption model to determine the factors which lead to citizens' adoption of e-government services in the Togolese context while investigating the mediating roles of perceived usefulness and perceived ease of use. The proposed model was tested using valid and reliable data gathered from a sample of 482 respondents. Findings indicate that behavioral intention to use e-government services is significantly influenced by perceived usefulness and perceived ease of use. More importantly, the analysis revealed that, perceived usefulness and perceived ease of use play a mediating role, either full or partial between the antecedent variables, social influence, trustworthiness and facilitating conditions and the outcome variable, behavioral intention to use. The implementation of e-government services with a focus on these fundamental factors will eventually increase the acceptance and adoption of such services by citizens. [ABSTRACT FROM AUTHOR]

This study focuses on students' behavioral intention to use Open Source Software (OSS). The article examines how students, who were trained in OSS, are motivated to continue using it. A conceptual model based on Self-Determination Theory and the Technological Acceptance Model (TAM) was defined in order to test the behavioral intention to use OSS, comprising six constructs: (1) autonomy, (2) competence, (3) relatedness, (4) perceived ease of use, (5) perceived usefulness and (6) behavioral intention to use. A survey was designed for data collection. The participants were recent secondary school graduates, and all of them had received mandatory OSS training. A total of 352 valid responses were used to test the proposed structural model, which was performed using the Lisrel software. The results clearly confirmed the positive influence of the intrinsic motivations; autonomy and relatedness, to improve perceptions regarding the usefulness and ease of use of OSS, and; therefore, on behavioral intention to use OSS. In addition, the implications and limitations of this study are considered. [ABSTRACT FROM AUTHOR]

Background: The supply of online therapy options for mild to moderate depressive disorders has substantially risen both nationally and internationally in the past years. While the efficacy and efficiency of specific online-based therapeutic services were indicated within the framework of scientific evaluations, little is known about the acceptance of these new therapy options. Methods: In a nationwide online survey of online-based therapy options for mild to moderate depressive disorders, the attitude and stance as well as the use intention and the subjectively perceived knowledge of 657 medical practitioners and therapists, active in psychotherapeutic and psychiatric treatment were collated. The impact of the potential predictors on the use intention of online-based therapies, based on the unified theory of acceptance and use of technology, was analyzed by means of a binary logistic regression model. Results: Besides the perceived performance and expense expectations, the supportive framework conditions, the influence of the cooperative environment, the individual technical affinity as well as the evaluation of the prospective significance of online-based therapy proved to be significantly influential predictors on the user intention. Special predictability for a positive user intention was shown related to the perceived potential of online therapy. Conclusion: The results underline the relevance of further evidence-basing of online therapy for mild to moderate depressive disorders. A user-oriented, participatory technology development proves to be just as relevant as a comprehensive sensitization, elucidation and education of potential users for a successful implementation. [ABSTRACT FROM AUTHOR]

With the evolution of mobile technologies and its applications, more and more government agencies are putting forth a huge effort to encourage citizens to use mobile government services. Hence, the citizens’ opinion is important to enhance the services and improve their engagement in the government services. Hence, this study has critically reviewed and explored the existing technology acceptance models and theories in order to develop an evaluation framework. The proposed framework is empirically tested by structural equation modeling using data collected from a structured questionnaire. Furthermore, the validated research model contains important variables to ensure the acceptance of mobile services. We hope that the implications of this study will help the public organizations and governments to gain more understanding about what drives the development and acceptance of mobile government services.

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This study examines the acceptance of technology and behavioral intention to use learning management systems (LMS). In specific, the aim of the research reported in this paper is to examine whether students ultimately accept LMSs such as eClass and the impact of behavioral intention on their decision to use them. An extended version of technology acceptance model has been proposed and used by employing one of the most reliable measures of perceived eased of use, the System Usability Scale. 345 university students participated in the study. The data analysis was based on partial least squares method. The majority of the research hypotheses were confirmed. In particular, social norm, system access and self-efficacy were found to significantly affect behavioral intention to use. As a result, it is suggested that e-learning developers and stakeholders should focus on these factors to increase acceptance and effectiveness of learning management systems. [ABSTRACT FROM AUTHOR]

This study aimed to analyze the effect of Academic Information Systems Online (SIA Online) for student satisfaction in the D3 Program Information Management AMIK HASS Bandung by using models Technology Acceptance Model. The use of TAM model based on the fact that so far TAM is a concept that is considered good in explaining user behavior toward new information technology systems. The populations in this study were students D3 AMIK HASS Information Management Bandung. The sample made with proportional sampling is proportional sampling method based on sub-populations. Sampling using proportional sampling technique for the study population was spread covers college campus 1 and 2. Data were analyzed by SEM (Structural Equation Modeling) with AMOS software (Analysis of Moment Structure). Results of this study proved the hypothesis received only 8 of the total 10 hypotheses proposed. Only the following relationships are shown to have a positive effect: a) Self Efficacy (SE) with Perceived Usefulness (PU), b) Self Efficacy (SE) with Perceived Ease of Use (PEOU, c) Self Efficacy (SE) with Perceived Enjoyment ( PE), d) Perceived Enjoyment (PE) with Behavioral Intention to Use (BITU), e) Perceived Usefulness (PU) with Attitude Toward Using (ATU). f) Perceived Usefulness (PU) with Behavioral Intention to Use (BITU), g) Perceived Ease of Use (PEOU) with Attitude Toward Using (ATU), h) Behavioral Intention to Use (BITU) with Actual Use (AU). It is proved that the use of SIA Online can not be fully explained by the Technology Acceptance Model.

This study focuses on students’ behavioral intention to use Open Source Software (OSS). The article examines how students, who were trained in OSS, are motivated to continue using it. A conceptual model based on Self-Determination Theory and the Technological Acceptance Model (TAM) was defined in order to test the behavioral intention to use OSS, comprising six constructs: (1) autonomy, (2) competence, (3) relatedness, (4) perceived ease of use, (5) perceived usefulness and (6) behavioral intention to use. A survey was designed for data collection. The participants were recent secondary school graduates, and all of them had received mandatory OSS training. A total of 352 valid responses were used to test the proposed structural model, which was performed using the Lisrel software. The results clearly confirmed the positive influence of the intrinsic motivations; autonomy and relatedness, to improve perceptions regarding the usefulness and ease of use of OSS, and; therefore, on behavioral intention to use OSS. In addition, the implications and limitations of this study are considered.

The purpose of this research was to analyse adoption of digital banking services in Thailand by using diffusion of innovation theory and perceived risk and trust as mediator variables. Online questionnaires were collected from 223 Thai people who had saving accounts with commercial banks in Thailand and had already registered and experienced with digital banking services. The results of the Structural Equation Modeling (SEM) analysis indicated that diffusion of innovation has no direct influence on perceived risk in digital banking service. However, the diffusion of innovation does have a direct influence on trust and indirect influence on behavioural intention to use digital banking when using trust as mediators. In addition, trust have a significant direct influence on behavioral intention to use digital banking. The results of this research significantly found that diffusion of innovation is a major factor in developing the digital banking adoption. It also increases trust in the service, which in turn affects the behavioral intention to use digital banking services. Furthermore, the results of this research can be used as a model for executives in formulating relevant policies and strategies to achieve competitive advantages; and developing an efficient digital banking system that is in accordance with the needs of users in everyday life. [ABSTRACT FROM AUTHOR]

With the evolution of mobile technologies and its applications, more and more government agencies are putting forth a huge effort to encourage citizens to use mobile government services. Hence, the citizens’ opinion is important to enhance the services and improve their engagement in the government services. Hence, this study has critically reviewed and explored the existing technology acceptance models and theories in order to develop an evaluation framework. The proposed framework is empirically tested by structural equation modeling using data collected from a structured questionnaire. Furthermore, the validated research model contains important variables to ensure the acceptance of mobile services. We hope that the implications of this study will help the public organizations and governments to gain more understanding about what drives the development and acceptance of mobile government services. [ABSTRACT FROM AUTHOR]

Acceptance and intention to use mobile learning is a topic of growing interest in the field of education. Although there is a considerable amount of studies investigating mobile learning acceptance, little research exists that investigates the driving factors that influence students' intention to use mobile technologies for assessment purposes. The aim of this study is to provide empirical evidence on the acceptance of Mobile-Based Assessment (MBA), the assessment delivered through mobile devices and technologies. The proposed model, Mobile-Based Assessment Acceptance Model (MBAAM) is based on the Technology Acceptance Model (TAM). MBAAM extends TAM in the context of MBA by adding to the Perceived Ease of Use and Perceived Usefulness, the constructs of Facilitating Conditions, Social Influence, Mobile Device Anxiety, Personal Innovativeness, Mobile-Self-Efficacy, Perceived Trust, Content, Cognitive Feedback, User Interface and Perceived Ubiquity Value and investigates their impact on the Behavioral Intention to Use MBA. 145 students from a European senior-level secondary school experienced a series of mobile-based assessments for a three-week period. Structured equation modeling was used to analyze quantitative survey data. According to the results, MBAAM explains and predicts approximately 47% of the variance of Behavioral Intention to Use Mobile-Based Assessment. The study provides a better understanding towards developing mobile-based assessments that support learners, enhance learning experience and promote learning, taking advantage of the distinguished features that mobile devices may offer. Implications are discussed within the wider context of mobile learning acceptance research. [ABSTRACT FROM AUTHOR]

This paper adjusts UTAUT2 to study user acceptance of an early stage technology by using the example of 3D printing for home users. The authors' findings show that UTAUT2 is capable of measuring user acceptance and that social influence and effort expectancy are good predictors for 'intention to use' for early stage technologies. Nevertheless, there seem to be significant differences in the antecedents depending on the involvement levels and the DIY mentality of the user. Moreover, this research confirms and extends the applicability of UTAUT2 to early stage technologies while improving the authors' understanding of prospective 3D printing home users. [ABSTRACT FROM AUTHOR]