Explore the vast range of titles available.

Intelligent information technology (IIT) based on AI and intelligent network communication technology is rapidly changing the social structure and the personal lives. However, IIT acceptancefrom various perspectives still requires extensive research. The research question in this paper examines how five factors—psychological, technological, resource, risk perception, and value factors—influence IIT acceptance. Based on an analysis of survey data, it was first found that the acceptance rate of IIT itself was generally very high. Second, in terms of IIT acceptance, among twenty-five predictors, voluntariness (+), positive image of technology (+), performance expectancy (+), relative advantage (+), radical innovation (+), and experience of use (+) were found to have significant effects on the IIT acceptance. Third, in addition to technological factors, psychological factors and risk perception factors also played an important role in individuals’ decisions regarding IIT acceptance.

The COVID-19 pandemic imposed challenges and offered opportunities, which were recognized and assessed in developed countries. In many cases though, the lack of systematic preparation for the required digital transformation resulted in confusion and discomfort in citizens' lives, where the imposition of nonphysical contact excluded a large part of the population from basic needs and rights. This article investigates the influence of trustworthiness and technology acceptance factors on the usage of e-government services during the pandemic, and proposes a model that integrates factors adapted from the TAM model (social influence, performance expectancy and effort expectancy) with trust in e-government, a factor influenced by trust in government, trust in the internet, security and privacy, to predict e-government usage. To test the model, a survey was conducted using a 38-question questionnaire we designed, with a total sample size of 301 Greek citizens. The model was confirmed using the structural equation modeling (SEM) approach with maximum-likelihood estimates. Results indicate that all aspects in this study related to trustworthiness and user acceptance can be predictive factors of citizens' usage of e-government services during periods of uncertainty and high risk, such as the COVID-19 pandemic.

The rapid integration of generative artificial intelligence (AI) in education has created a growing need to understand the factors that shape students’ adoption of these technologies. This study examines the behavioural, cognitive, and ethical determinants of AI chatbot use among university students. Drawing on the Technology Acceptance Model and the Technology Readiness Index, the study incorporates additional constructs, including transparency and ethics. Data were collected through an online questionnaire administered to 285 students and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings indicate that optimism significantly influences perceived ease of use, which, together with perceived usefulness and transparency/ethics, positively affects students’ intention to use AI chatbots. Transparency/ethics also exerts a direct effect on actual usage behaviour, underscoring the increasing importance of trust and responsible AI in educational contexts. The study provides both theoretical and practical implications for developers, educators, and policymakers seeking to encourage meaningful and responsible AI adoption in higher education.

This study explores the adoption of blockchain technology within the Ethiopian National Quality Infrastructure (NQI). Data from 178 professionals representing various organizations and roles were collected to investigate key adoption factors. By integrating the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework, external factors (Technology Compatibility, Relative Advantage, Government Support, and Policy) and internal factors (perceived usefulness, perceived ease of use, and intention to use) were examined. A dual-stage analytical approach involving partial least square-based structural equation model (PLS-SEM) and artificial neural network (ANN) analyses was employed. The findings emphasize the significance of technological compatibility, perceived usefulness, and top management support as determinants of blockchain adoption in the NQI. Particularly, the compatibility of the existing system emerges as the most influential factor in adopting blockchain technology within the Ethiopian NQI. This study enhances the understanding of blockchain adoption within the NQI context, providing valuable insights for successful implementation. It contributes to the existing knowledge in this area and offers practical implications for quality infrastructure management.

The explosion in Internet usage and huge government funding initiatives in digital libraries have drawn attention to research on digital libraries. Whereas the traditional focus of digital library research has been on the technological development, there is now a call for user-focused research. Although millions of dollars have been spent on building \"usable\" systems, research on digital libraries has shown that potential users may not use the systems in spite of their availability. There is a need for research to identify the factors that determine users' adoption of digital libraries. Using the technology acceptance model (TAM) as a theoretical framework, this study investigates the effect of a set of individual differences (computer self-efficacy and knowledge of search domain) and system characteristics (relevance, terminology, and screen design) on intention to use digital libraries. Based on a sample of 585 users of a university's award-winning digital library, the results strongly support the utilization of TAM in predicting users' intention to adopt digital libraries, and demonstrate the effects of critical external variables on behavior intention through perceived ease of use and perceived usefulness. All of the individual differences and system characteristics have significant effects on perceived ease of use of digital libraries. In addition, relevance has the strongest effect on perceived usefulness of digital libraries.

Internet of Things (IoT) conception has become a popular trend among industries. Many have already adopted the technology and put it into practice. IoT can incentive and change the way people conduct business in the construction industry. The objective of the research is to figure out the impact factors that influence practitioners’ willingness to adopt IoT in Taiwan’s construction industry. The hypothesis was developed based on a comprehensive literature review and the concept of the Unified Theory of Acceptance and Use of Technology (UTUAT). The UTUAT framework and hypotheses developed included 5 main hypotheses, 6 aspects and 33 stems. A pilot study aimed at experienced practitioners in the industry was carried out before the full-scale survey to adjust the stems. The adjusted questionnaire including 31 stems belonging to 7 aspects was then distributed to practitioners. A total of 282 valid questionnaires distributed were collected and 6 types of analysis (descriptive statistics, reliability, validity, t-test, one-way of variance, and structural equation modelling). The findings including (1) anticipated benefits significantly affect the users’ willingness to adopt IoT; (2) anticipated efforts significantly affect the users’ willingness to adopt IoT; (3) societal expectations significantly affect the users’ willingness to adopt IoT.

Background: Leveraging healthcare technology improves human development and well-being. However, adoption is frequently delayed by behavioural and psychological barriers, such as perceived usefulness, trust, and organisational readiness. This review examines the suitability of the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM) frameworks in healthcare settings, focusing on behavioural, educational, and psychological factors that influence technology adoption. Methods: A total of 20 peer-reviewed articles from 2019 to 2024 were examined. Results: The review identified significant organisational and psychological obstacles, including a lack of trust, inadequate training, and organisational support. While the UTAUT provided a more comprehensive viewpoint, it needed to be modified to include context-specific factors, including trust, facilitating circumstances, and educational interventions. Meanwhile, the TAM’s emphasis on perceived usefulness and ease of use was shown to be insufficient for dealing with complex healthcare situations. Conclusions: Interventions targeting stakeholders’ organisational and psychological preparation and educational strategies are essential to overcoming resistance and enhancing trust. Future research should look into integrative frameworks incorporating behavioural, psychological, and instructional tactics to improve the use of technology in healthcare.

Augmented reality (AR) adoption in archeological site museums has attracted growing attention; however, a notable gap remains in understanding how personal traits and technological perceptions interact to influence tourists’ choices. To address this gap, this study conducted at the Sanxingdui Archeological Site Museum employs the Technology Acceptance Model (TAM), a widely used framework for analyzing user acceptance of technology, alongside structural equation modeling to examine the nuanced interplay of Technology Readiness dimensions and their impact on perceptions. The findings reveal that optimism does not significantly influence attitudes toward AR, while innovativeness has a positive effect. Discomfort is negatively associated with AR attitudes, while perceived security concerns have a counterintuitive positive effect. Moreover, perceived ease of use strongly determines the perceived usefulness of AR, which, in turn, directly influences attitudes toward the technology. Perceived ease of use also plays a crucial role in shaping AR attitudes. Additionally, a positive attitude toward AR is strongly linked to future adoption intentions, which, in turn, significantly correlate with tourists’ intentions to visit destinations. These insights not only enhance academic discussions on TAM and AR in tourism but also offer valuable practical implications for the museum sector seeking seamless AR integration. Plain Language Summary Exploring how augmented reality changes museum visits: Insights from Sanxingdui Museum, China Our research focused on understanding why visitors to museums, like the Sanxingdui Museum in China, decide to keep using augmented reality (AR) technology during their visits. AR technology can overlay virtual elements (like images, sounds, or other data) on real-world environments, enhancing the visitors’ experience by making it more interactive and informative. We found that certain personal characteristics and how people perceive technology play crucial roles in this process. For example, we discovered that being open to new experiences (innovativeness) makes people more likely to have a positive attitude toward using AR. However, if people feel uncomfortable with new technology or worry about its security, they might not be as keen on using it. Our study also highlighted the importance of the AR technology itself—specifically, how easy it is to use and how useful people find it. If visitors believe that AR technology can enhance their museum experience and is not complicated to use, they are more likely to use it again in the future. Interestingly, our results showed that just being optimistic about technology doesn’t necessarily make someone more likely to use AR in museums. This was a surprising finding, as one might assume that a general positive outlook on technology would encourage its use. Ultimately, our findings suggest that for cultural heritage museums to successfully integrate AR technology, they need to ensure that it is user-friendly, secure, and genuinely enhances the visitor experience. This way, more people will be inclined to use AR during their visits, enriching their understanding and enjoyment of the museum’s exhibits.

Qualitative comparative analysis (QCA) allows researchers to study how configurations of conditions lead to outcomes and, thereby, richly explain the dynamics of complex digital phenomena. To advance discussion on QCA in the information systems (IS) discipline, we introduce its fundamental concepts and offer guidelines for authors on how to apply QCA to advance IS research. We also provide checklists for reviewers of QCA papers. We illustrate how to apply our guidelines through two exemplar studies. In the first exemplar study, we focus on IT-business strategic alignment to study the influence that different forms of alignment have on firm performance. In the second exemplar study, we use the perspective of the integrated technology acceptance model to explain an individual’s intention to use a digital assistant. The contrasting results from both studies highlight how to use QCA to derive robust and reproducible results. By doing so, we contribute to encouraging IS scholars to use QCA to develop sophisticated models that accurately depict real-world IS phenomena.

To become an information society, it is required that the citizens have access to information and communication technologies (ICT) in appropriate ways. ICT plays a major role to improve inclusion of various parts of the society (such as children, disabled citizens, and elderly) into daily life. According to reports of WHO, the world population is getting older. This urges the need for a systematic investigation of ICT needs of elderly citizens and potential problems being faced during the course of interaction with ICT interfaces. The present study focuses on the use and acceptance of ICT by elderly citizens in comparison to younger adults by providing data from citizens living in Turkey. It reports data collected from 232 elderly participants (60–96 years old) and 235 younger adults (19–40 years old). The findings of the study show that, both elderly and younger adults confirm the technology acceptance model (TAM) in a similar way. This was accompanied by elderly citizens’ need for assistance, encouragement and friendlier interface designs. The present study aims to contribute towards increasing awareness about the needs and expectations of elderly citizens and inspire further research on ICT use of the elderly population.