Information Technology Acceptance Research Articles

Influence of Social and Emotional Factors on the Intention to Use Instagram Stories

The objective of this study is to determine the social and emotional factors that influence the Intention to Use Instagram Stories. The proposed model takes as different studies on the acceptance of information technologies a reference to assess a survey applied to 369 people by structural equation modeling. The results of the analysis show that the Cognitive, Affective and Evaluative Social Identity variables did not have a significant relationship with Intention to Use. Conversely, Social Presence and Perceived Enjoyment exhibit significant relationships in the proposed model.

The Attitude of Russian University Teachers Towards the Digital Educational Environment

The attitude of teachers towards the digital educational environment (DEE) and the use of information technologies in teaching largely determines the attitude of students towards the educational process, the effectiveness of learning and emotional involvement in learning. Therefore, the purpose of this work was to analyze the attitude of university teachers towards the DEE and distance learning opportunities, as well as to determine the psychological components of the acceptance of new information technologies. The survey involved 308 teachers (females - 71%) aged 23 to 77 (average age = 46 ± 11 years) from various universities of the Russian Federation. In addition to measuring the attitudes towards learning in the DEE (AUDEE Scale Questionnaire), the authors analyzed the personality traits (Big Five Inventory - 2), self-regulation resources and activity-related experiences in teaching (AREA). The results showed that the majority of the respondents were familiar with and use various elements of the DEE; 81% expressed a desire to move to blended learning as a combination of DEE resources and face-to-face classes. The main psychological prerequisites for the acceptance of the DEE are experiences in professional activity: the stronger the experience of meaning and the weaker the experiences of effort and void, the more positive attitude towards work in the digital environment a teacher has. Other key elements are various aspects of self-regulation (goal planning and independence) and personality traits such as openness to experience and agreeableness.

Dimensions of Interest in Using E-Wallets in Online Transportation Service

There are still many MSME actors who have not used e-wallets, especially in using online transportation. This paper examines the Utilitarianism, trust, risk perception, reputation, and costs of e-wallet users' interest in online transportation. This research uses quantitative methods. A questionnaire was used to collect data from 110 small and medium-scale entrepreneurs in Bali Province. Multiple linear regression analysis tests are used to test the interest of e-wallet users. The results show that the utilitarian variables, trust, and reputation, positively and significantly affect e-wallet user interest. At the same time, risk perceptions and cost do not affect e-wallet user interest. These costs are burdensome for consumers to purchase mobile devices to take advantage of digital payment services, so it takes time and effort to consider adopting new technology. Inclusive finance is an important entry point for inclusive growth; e-wallets also help Micro, Small, and Medium Enterprises currently being promoted by the government to support the economy. TAM is a model that theoretically helps predict and explain user acceptance of information technology. Digital payment solutions allow consumers and merchants to use social media to buy and sell goods and services to create new economic opportunities.

Enhancing Museum Visiting Experience: Investigating the Relationships Between Augmented Reality Quality, Immersion, and TAM Using PLS-SEM

Augmented reality (AR) has received increasing attention and has been utilized to enhance the customer experience in museums. This study employs the Information System (IS) success model, immersion theory, and Technology Acceptance Model (TAM) to investigate the impact of AR quality on various dimensions of immersion and the effects of different dimensions of immersion on perceived usefulness and ease of use. Quantitative research was conducted on 295 visitors surveyed at the Wuhan Natural History Museum. Partial least squares structural equation modeling (PLS-SEM) was utilized to test the model. The results indicate that higher-quality AR enhances immersion and that aesthetic experience can enhance the escapist experience within the AR environment. Both dimensions of immersion contribute to perceived usefulness, while the aesthetic experience of museum visits contributes to perceived ease of use. The results obtained from the experiments provide insights into designing AR systems for use in museums.

Webcams and technostress: the complicated web of amplified online learning, webcam use, and technostress during COVID 19

ABSTRACT Technological advances and COVID-19 have led to expedited technology use and online learning in higher education. Increased technology use and online learning have led individuals to either adapt or experience technostress. Higher education is a ripe context for technostress to occur, especially for students, since many courses are being offered in a hybrid and/or synchronous online format due to COVID-19. Students have often been required and/or encouraged to use multiple technologies, especially webcams, during online courses. Thus, this study explores the technostress students could be experiencing from requested webcam use as well as potential influencers and outcomes of technostress for students via exploring factors from Davis’s [Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340] technology acceptance model in a new proposed model. Results indicated the model was a significant predictor for digital skills, perceived ease of use, technostress, and cognitive learning for students being required or not required to use webcams. Implications for researchers and instructors as well as future research directions are discussed.

Pengaruh pemahaman technology acceptance model dan pemahaman etika profesi akuntan terhadap komitmen menjadi akuntan profesional dengan penguasaan teknologi informasi sebagai variabel moderating

Currently the world is entering an era of revolution where there are a lot of developments in various fields including information technology and the economy seen from all sectors of work that are already using more sophisticated technology, there are various technologies that are used to help make work easier today, just as an accountant has many using computers to help make their work easier as well as various uncertainties faced by companies are factors that encourage companies to invest in information technology. Likewise in the field of accounting, information technology is very important in supporting the process of making financial reports. One of the qualified accounting application programs. Technology also helps an accountant obtain a variety of information that can be used. When viewed from technology acceptance, it describes how users accept and adopt certain technologies. One of the most prominent is the Technology Acceptance Model (TAM) as a form of acceptance of information technology in the world of accountants.

Smart mobile tourism app featuring augmented reality and big data analytics: an empirical analysis using UTAUT2 and PCT models

Purpose Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA. Design/methodology/approach Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0. Findings Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA. Originality/value The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.

Factors influencing future physics teachers’ acceptance of information and communicative competence technologies: A survey study

Factors influencing future physics teachers’ acceptance of information and communicative competence technologies: A survey study

A Sustainable Quality Model for Mobile Learning in Post-Pandemic Higher Education: A Structural Equation Modeling-Based Investigation

As an effect of the digital transformation encountered by higher education institutions in the post-pandemic phase, the current study aims to inspect the factors affecting the actual use of mobile learning among higher education students. A novel hybrid model based on the information system success and technology acceptance models was proposed and tested. The study included 400 undergraduate and postgraduate students from four Saudi universities who responded to a questionnaire consisting of two parts and seven dimensions, with a total of 26 items. For the analysis, a quantitative approach was applied using structural equation modeling. The results displayed that information quality had no impact on the actual use of mobile learning among higher education students. In contrast, other quality factors (system quality, service quality, and satisfaction) and perceived factors (perceived usefulness and perceived ease of use) had a positive effect. Accordingly, this study proposed an integrated framework to assist decision makers at higher education institutions in scaffolding students to develop their educational performance by depending on mobile applications comprising high-quality factors that address their real needs. This would also enable higher education institutions to enhance their digital transformation experience, thus contributing to achieving positive learning sustainability after the pandemic.

Using Item Scores and Distractors to Detect Item Compromise and Preknowledge

Any time examinees have had access to items and/or answers prior to taking a test, the fairness of the test and validity of test score interpretations are threatened. Therefore, there is a high demand for procedures to detect both compromised items (CI) and examinees with preknowledge (EWP). In this article, we develop a procedure that uses item scores and distractors to simultaneously detect CI and EWP. The false positive rate and true positive rate are evaluated for both items and examinees using detailed simulations. A real data example is also provided using data from an information technology certification exam.

Factors That Affect User Satisfaction of Using E-Commerce Chatbot: A Study on Generation Z

In this modern era, E-commerce is one of the industries that focuses on using artificial intelligence (AI) to improve the business performance especially in the area of electronic customer relationship management (e-CRM). In this research, the usage of one of the AI tools, which is known as chatbot, is further investigated in the area of e-commerce. There are various past researches which focus on the topic of chatbot. However, the past researches are restricted by several factors such as location, industry, and respondent. Therefore, this research will focus on a brand-new location, which is Malaysia. The newly targeted industry and respondent will be e-commerce industry and Generation Z respectively. The objective of this study is to investigate the factors that affect user satisfaction of using e-commerce chatbot. This research utilizes both Information System Success Model (ISSM) and Technology Acceptance Model (TAM) in order to provide theoretical foundation to this research. It’s aimed to contribute new insight by combining the two models in order to test the relationship between the variables with the user satisfaction of using e-commerce chatbot. The variables that are derived from ISSM are system quality, information quality, and service quality; while the variables that are derived from TAM are perceived ease of use and perceived usefulness. The data collection method for this research is through questionnaire while the sampling method is convenience sampling. For data analysis and measurements, reliability test, descriptive and frequency distribution, and multiple linear regression were used for the purpose of this research. In terms of the research outcomes, three independent variables that are proven to have significant relationship with the dependent variable are system quality, information quality, and perceived usefulness; while service quality and perceived ease of use are proven to have no significant relationship with the dependent variable. This research is able to create new insights and provide more information to the future researchers. Moreover, it is also able to deepen the understanding of chatbot developers especially in modifying and innovating the chatbots from time to time so that they are able to meet the users’ expectations. Last but not least, this research is able to provide information regarding ways to improve electronic customer relationship management (e-CRM) to the functional area of the organizations so that they can have a better understanding on the ways to improve customers’ satisfaction through the e-commerce platform. Purpose of this document is to provide a consistent format for full papers appearing in the conference proceedings and journal. The publisher strongly encourages the authors to use the full paper template when preparing the article. This document also provides guidelines to the authors for submission of full paper for publication.

The Acceptance Model of Smart City Service: Focused on Seoul

The goal of providing smart city services is not only simply building smart technology and infrastructure but also improving the quality of life of citizens who use smart city services and have positive experiences. This requires establishing service supply strategies considering citizens’ satisfaction levels by identifying the factors that affect the will or behavior of citizens who use smart city services. However, decision making regarding smart city policies and service supply in Korea is conducted through the central government-centered top-down mode, which lacks the consideration of how to improve citizens’ satisfaction levels or their intention to use technology. Thus, we proposed an acceptance model for smart city services, which is a theoretical model that offers a foundation for a model to evaluate the interaction levels of citizens toward smart city services based on the technology acceptance model, which is the most widely used tool to evaluate what factors affect the acceptance and use of information technology and system-based services. In addition, we defined research models by discussing previous studies that proposed factors that affect the acceptance of smart city and U-City services and urban public services. To empirically verify the research models proposed herein, we surveyed citizens in Seoul and conducted structural equation modeling using AMOS 28. As a result, we derived a total of eight factors (Quality, User Characteristics, Positive Attitude, Perceived Risk, Social Influence, Perceived Ease of Use, Perceived Usefulness, and Acceptance Intention) that affected the acceptance of smart city services and 42 assessment items from these factors. The results of this study are expected to be foundational data for establishing policies and systems for the improvement of citizens’ interaction level and continuous use of smart city services.

E-Health Research in Southeast Asia: A Bibliometric Review

eHealth or digital health innovations expanded tremendously during the COVID-19 pandemic. Innovation and digitalization offer creative solutions to build up a healthy society. The eHealth technologies are quickly taken up by Southeast Asia countries and continue to flourish to alleviate the burden of healthcare challenges. This study is the first review exploring and analyzing the whole literature of eHealth, specifically in the Southeast Asia region. The objective of this study is to document the size, growth trajectory, and geographical distribution of eHealth in Southeast Asia research, identify high-impact authors and documents, explore the intellectual knowledge structure, and analyze the topical trends of the field. The bibliometric analysis was used to analyze a data set of 1405 Scopus-indexed documents between 1976 and 2021. Descriptive analysis, citation, co-citation, and keyword co-occurrence analyses were conducted to gain insights into eHealth in the Southeast Asia knowledge base. The growth rate of literature has rocketed up since 2018, reflecting the significant increase in demand for eHealth in Southeast Asia. Among the eleven Southeast Asian countries, Indonesia, Malaysia, Singapore, and Thailand were the top four countries where the most eHealth-related research was conducted. The intellectual structure of eHealth in Southeast Asia literature comprises four schools of thought (i.e., four groups of similar theoretical perspectives and research interests): (1) analysis and adoption of hospital information system/eHealth records, (2) user intention and acceptance of information technology, (3) technology for healthcare and disease management, and (4) mobile health technology (m-Health). Mobile applications, social networks, the COVID-19 pandemic, patient referral, follow-up, self-care, quality of life, psychology, diabetes mellitus, and hypertension are the recent emerging research themes in the field of study. The eHealth development should consider long-term sustainable management along with the rapid evolution of the field. Additionally, eHealth systems should be holistic and pay attention to technology adoption, data security, and ethical issues involved in medical practices. This bibliometric review delivers reference points for scholars interested in Southeast Asia eHealth, reveals the emerging intellectual structure of this interdisciplinary field, and provides guidance to future research on this domain.

Adopsi Extensible Business Reporting Language dan Asimetri Informasi

The research objective is to verify the effect of the adoption of Extensible Business Reporting Language (XBRL) on information asymmetry in companies listed on the IDX. The sample was selected using a purposive sampling technique which was then analyzed using multiple linear regression. The research sample consisted of 329 companies with a total sample of 1,974 companies being observed. The results of this study show that the adoption of XBRL has a positive effect on information asymmetry. Firm size and turnover ratio control variables were found to have a negative effect on information asymmetry. The research results have implications for the gap in information distribution and technology acceptance between large and small investors. XBRL can help reduce data aggregation costs, but investors must then understand how to derive the informational benefits of new data. Therefore, investors must weigh the costs of data aggregation against the benefits when deciding whether to use new technologies that are voluntary or mandatory.Keywords: Extensible Business Reporting Language; Information Asymmetry; Bid Ask Spread.

A shift to green cybersecurity sustainability development: Using triple bottom-line sustainability assessment in Qatar transportation sector

Green cybersecurity is the emerging trend in the new era and this green cybersecurity technology minimizes the negative effects of IT operations and implements a green sustainable environment. Therefore, the study conceptually draws the concept of green cybersecurity by applying the theory of reasoned action (TRA) assumptions that logically support green information technology acceptance. Using a convenient sampling, the data were collected from Qatar transport industries, particularly the IT experts and managers, to get responses on the implementation of green cybersecurity and sustainability of 5 transport companies in Doha, Qatar. Using Smart PLS-SEM, the study employed the SEM technique to test the proposed hypotheses. The results reported that green cybersecurity’s control/position, integrity, and authenticity significantly and positively influenced TBL sustainability, but confidentiality, availability, and utility do not. The implementation of industry 4.0 makes them accessible and more effective to ensure TBL sustainable development in the transport industries in Qatar. Applying green cybersecurity in this setting will improve services in transportation sector. A green cybersecurity platform will make it a point to systematically search for and promote innovations made possible by smart green technologies to avoid carbon-emission vehicles. Through the efficient and cutting-edge green, cybersecurity will be Qatar’s transportation sector’s primary responsibility to contribute to Qatar’s sustainable development. In order to accomplish this goal, the regulator must create and implement it. In addition, it emphasizes the importance of adopting green cybersecurity to confront the difficulties facing city transportation all over Qatar as a foundational component of achieving long-term sustainable development.

A meta-analysis of factors affecting acceptance of information technology in auditing

Technology advancements provide opportunities for auditors to use new tools in the audit process. This study presents a synthesis of technology-related auditing research to identify factors affecting the use of technology in auditing. We analyze 88 studies in identifying 21 factors relevant to technology acceptance in auditing based on country of origin (developed or developing), user type (external or internal), type of technology (traditional or advanced), firm size (Big 4 or non-Big 4), and publication time (before and after 2013). Our results show that the most important factors in accepting technology from an individual perspective are facilitator conditions, perceived usefulness, and understanding of ease of use. Technology acceptance factors relevant to an organizational perspective are cost-benefit technology, competitive pressure, company readiness, and matching technology-task. Results suggest that perceived usefulness and subjective norm are more important in developed countries and Big 4 audit firms, while auditors in developing countries and non-Big 4 audit firms are more influenced by perceived ease of use, facilitating conditions, and organizational factors. Adopting traditional technologies is also more influenced by understanding the ease of use, subjective norms, and top management support than advanced technologies. This study contributes to the literature by assessing technology acceptance factors in auditing and thus provides policy, practice, and research implications.

The Moderating Effects of Gender on Factors Affecting the Intention to Use Mobile Learning

Aim/Purpose: The main aims of this research are to explore the moderating effects of gender on the relationships of such factors and the intention to use mobile learning, to examine the factors that influence m-learning acceptance in the universities and higher education institutions (HEI) in Iraq, and to investigate the influence of the intention to use on the actual use of mobile learning in (HEI). Background: Over recent decades, mobile learning has played an increasingly important role in the teaching and learning process, especially for higher education. As such, acceptance and use of mobile learning has become a topic of interest within the education sector. In this regard, UTAUT is one of the widely used models for examining users’ intention for use and acceptance of information technology. Methodology: A survey method was used in this study involving a sample of 323 participants recruited from several universities in Iraq. Contribution: This study has made significant contributions to the advancement of m-learning in Iraq by developing a mobile learning model that can help guide practitioners to promote and facilitate the use of such an approach in universities. Findings: The findings showed that gender moderated the relationships of social influence (SI), effort expectancy (EE), and performance expectancy (PE) with respondents’ intention to use m-learning. In addition, the findings confirmed the perceived enjoyment, performance expectancy (PE), effort expectancy (EE), self-efficacy (SE), and social influence (SI) had significant direct effects on intention to use m-learning. Furthermore, the respondents’ intention to use or behavioral intention had a significant impact on the actual use of m-learning. Recommendations for Practitioners: It is vital for university management and practitioners to encourage students about the advantages of mobile learning in higher education institutions. In Iraq, the research in mobile learning is still very new and there are few studies have analyzed the gender effect on the mobile technology acceptance in learning. This study provides a roadmap of the gender effect on variables that could influence mobile learning acceptance in higher education institutions in Iraq. Recommendation for Researchers: The gender moderation effect on the factors that influence the mobile learning acceptance is important, thus the new researchers are advised to examine the gender effect on other factors that could influence mobile learning acceptance. Moreover, cross-nation studies are needed to further validate the findings of this research because it was conducted from the perspective of a developing nation where mobile learning is still in its infancy. Future studies may broaden the research to examine additional potential elements, such as the quality of services in future models, which can help enhance the understanding of learners’ acceptance and continuous usage of mobile learning as well as to improve the utility of UTAUT. Impact on Society: The use of mobile learning has increased in its importance for higher education around the globe, including Iraq. Clearly, mobile learning has been pervasively used in education throughout the world due to the Covid-19 pandemic. During this time, students were required to study at home for months as per governments’ orders in order to avoid being affected by the virus. With mobile learning, students were able to continue their studies; otherwise, they would have missed the academic year. Academic staff and administrators should therefore encourage and employ mobile learning for instruction, student communication, and exam administration. Future Research: Given that the UTAUT model was used in higher educational settings for this research, it is advised to look into its application in corporate settings to see if comparable results can be repeated or not. More research is advised to look at the moderating effects of demographic factors, such as age and place of origin, in order to shed more light on students’ adoption of mobile learning in HEIs in developing nations.

A Study on Educational Technology Acceptance of Special Education Teachers in Language Teaching Based on TAM Model

The application of educational technology in special education is mainly to provide more convenient learning conditions for special students, so that special students can receive more learning opportunities and convenience. At this point, special education teachers’ acceptance of technology has become a crucial factor in improving the learning efficiency and effect of special students. Based on the Technology Acceptance Model (TAM), this study conducted a questionnaire survey of 112 special education teachers at different stages to investigate the level of special education educators’ acceptance and continuous use trend of educational information technology by descriptive statistics. Besides, t-test and ANOVA will be adapted to discuss the impact of various factors on the technology acceptance model. The results manifest that special education teachers’ educational technology acceptance was above average, but perception of the using easiness needs improvement. In addition, the educational technology acceptance levels of special education teachers are different in gender and teaching stages. Based on this, the article puts forward suggestions on the future of application of technology in special education from the three stages (identification & evaluation, training support and technical assistance) and two elements (family engagement and differentiated instruction).

서비스품질 및 조직 내외부 요인이 uTradeHub 이용의도 및 지속활용에 미치는 영향에 관한 연구

Korea, which has succeeded in economic development through trade. With the 2000s, the national e-trade service development project was adopted as an e-government task in 2002, and by 2008, it was converted to an Internet web-based open type, providing services without interruption in trade procedures such as import, export customs clearance, logistics, and payment. However, despite the fact that the uTradeHub service provides improved services by combining the 4th industrial revolution technologies such as Blockchain, Bigdata, and AI, the use of services such as e-B/L and e-Nego is still insufficient.
 This study measures the Service Quality of uTradeHub by referring to previous studies in order to find a way to continuous utilization of uTradeHub, and based on the theory of information technology acceptance, all on, offline Service Quality provided by uTradeHub and the Organization of External factors The purpose of this study was to study whether the scale, uTradeHub-related Service Experience, External Pressure. The study results summarized as follows. First, it was found that the Service Quality of uTradeHub had a significant effect on the Intention to Use, and the improvement of the Intention to Use the Service had a positive effect on the Continuous Use of the Service. Second, when Using the uTradeHub Service, External Factors such as Organizational Size and Service Experience were found to affect the Intention to Use, and it was analyzed to affect the Continuous Use of the Service.
 Third, Reliability, Empathy, Certainty, Responsiveness, and Tangibility, which are the components of uTradeHub Service, were all found to be significant components for Service Quality.

Zoom in Online Learning : GETAMEL Implementation of Student Acceptance


 
 
 
 This study aims to see student acceptance during online lectures using the Zoom application and see how the Zoom application technology is acceptable in the learning process. The problems that arise are not far from how the digital interaction process is attempted to replace offline interactions where conventional learning usually takes place. The acceptance of information technology with an audio-visual-based learning process that was suddenly forced during the Covid-19 pandemic basically raised concerns over the classroom interaction process that previously dominated the lecture process. The research method implements the GETAMEL model to see how far the admission process occurs to students. All research respondents are cross-semester students who are under the study program in the economics faculty. 90 respondents answered the research questionnaire which was distributed online through the google form application. The results showed that the constructs in GETAMEL basically had an effect on student acceptance behaviour on the technology applied except for the experience variable. Furthermore, subjective norm and enjoyment variables play an important role in the process of student acceptance in using a relatively new technology.