Search Results (689)

This study examines the factors influencing the behavioral intention and usage behavior of e-bikes in Metro Manila and the National Capital Region (NCR) using constructs from the Diffusion of Innovation (DOI) theory, the Technology Acceptance Model (TAM), and external variables such as government policies, infrastructure, social influence, and public awareness. A cross-sectional survey of 340 respondents was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to explore the relationships among these constructs. The results indicate that perceived usefulness (PU), perceived ease of use (PEOU), social influence, and public awareness significantly affect behavioral intention, which strongly predicts e-bike usage behavior. Infrastructure also positively impacts ease of use, while trialability enhances perceived usefulness. However, the relationships between government policies and perceived usefulness, as well as between trialability and ease of use, were insignificant, reflecting contextual limitations in the Philippine setting. The findings highlight the importance of behavioral intention as a primary driver of e-bike adoption. To address barriers, practical recommendations include expanding bike lanes, implementing e-bike sharing systems, strengthening government incentives, and launching public awareness campaigns that highlight the benefits of e-bikes, such as cost savings and environmental sustainability. This study also contributes to theory by integrating DOI and TAM frameworks, offering a comprehensive understanding of e-bike adoption in developing urban settings. These insights provide actionable strategies for policymakers, manufacturers, and stakeholders to promote sustainable transportation in the Philippines and similar contexts. Full article

This research explores the intersection of health informatics and behavioral science through the lens of fitness technologies, specifically Fitbit products. Grounded in the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT), this study examines how these technologies influence user acceptance and physical activity motivation. Employing a qualitative approach, the paper analyzed Fitbit user reviews to reveal insights into real-world interactions and perceptions, thereby deepening the understanding of technology adoption behaviors in health contexts. The findings highlight the significance of perceived ease of use and usefulness, as well as the integration of health consciousness in technology acceptance, enriching the TAM framework. Additionally, the study confirms Self-Determination Theory’s proposition of intrinsic motivation being more effective for lasting behavior change, as seen in users’ evolving interactions with Fitbit features. Furthermore, this study contributes to health behavior theories by demonstrating the role of technological devices in altering health routines. Full article

Although researchers have shown great interest in the antecedents and consequences of internet use due to the internet becoming a part of daily life, there is a gap in the literature regarding the factors that affect teachers’ use of the internet for creative purposes. This study aims to empirically examine teachers’ use of the internet for creative purposes and explores its relationship with emotional intelligence, computer anxiety, and the perceived ease of use of the internet. Furthermore, the possible intermediary effect of the perceived ease of use of the internet on creativity among these variables is also empirically investigated. In this context, data were obtained from 264 teachers in the Marmara Region in Turkey using a survey method. To test hypothesized relationships, structural equation modeling was conducted. Findings revealed that computer anxiety has a negative effect on creativity, while perceived usefulness, emotional intelligence, and the perceived ease of use have a positive effect. Our results also supported the partial mediating role of the perceived ease of use in the relationships between emotional intelligence and creativity, as well as between perceived usefulness and creativity, and the full mediating role of the perceived ease of use in the relationship between computer anxiety and creativity. Therefore, this research extends teachers’ understanding of technology acceptance and creativity by linking the two. Moreover, research findings provide important information to shape educational policies or professional development programs on the basis of digital education and offer a different approach to educators. Full article

The purpose of this study is to examine the effect of the two determinants of the technology acceptance model (TAM3), perceived ease of use (PEOU), and perceived usefulness (PU) on auditors’ intention to adopt and use blockchain technology (BT) in Lebanon. This study also aims to investigate the moderating role of age on these associations to determine the antecedents of PU and PEOU. A sample of 332 auditors working in Lebanon was used to collect data and the analysis was conducted using the third version of partial least squares structural equation modeling (PLS3-SEM). Results show that perception of external control and computer self-efficacy significantly affect the PEOU. Job relevance and output quality are PU antecedents and positively influence the variable. In addition, PEOU and PU have a significant positive impact on auditors’ intention to adopt BT. This shows that auditors in Lebanon are more inclined to adopt BT if they feel that BT does not require substantial effort and that BT provides tangible benefits to their work. According to the researchers’ knowledge, this study is the first to examine auditors’ perception of using BT in one of the Middle Eastern countries, Lebanon, and the first to investigate the moderating role of age on the relationship between TAM3 determinants and auditors’ intention to adopt BT. In addition, this study highlights the practical implications of adopting BT in auditing in Lebanon by pinpointing the need for training programs, collaboration between auditors and other departments, developing regulatory frameworks to enhance efficiency, and organizing awareness and educational campaigns. Additionally, investments in infrastructure are critical to facilitate the smooth implementation and adoption of BT. Furthermore, audit firms should organize workshops to educate auditors on the application and the benefits of BT, invest in upgrading the IT systems to be compatible with BT platforms, and provide case studies and pilot projects to promote confidence in BT adoption. Full article

This study explores the transformative role of IoT in enhancing efficiency across the food value chain. It combines secondary and primary research to identify factors that influence IoT adoption in the food sector. A thematic–bibliometric analysis (2010–2024) highlights key themes related to IoT use in the industry, particularly in food packaging and supply chain optimization. The primary research, based on 162 questionnaires, examines factors influencing IoT adoption, such as perceived usefulness, ease of use, self-efficacy, and personal innovativeness. Results show that IoT awareness strengthens the impact of personal innovativeness on attitudes toward IoT. Additionally, a positive attitude significantly influences the intention to use IoT. These findings underline IoT’s potential to enhance efficiency, reduce waste, and positively impact the food industry, emphasizing the importance of increasing awareness to foster its adoption. Full article

Based on the technology acceptance model (TAM), pre-service teachers’ acceptance of artificial intelligence (AI) is crucial in predicting their intentions to use AI in future teaching, as well as for their actual usage of AI. However, current research offers limited insights into the role of factors regarding usage intentions and behaviors. In particular, AI-related teacher training courses and AI-related technological pedagogical content knowledge (AI-TPACK) might be relevant, but are empirically underinvestigated within the TAM. This study addresses these gaps by investigating the relationships between pre-service teachers’ participation in AI-related courses, their self-reported AI-TPACK, their perceptions of AI’s usefulness and ease of use, and both their intention and actual usage of AI. Using path models with data from 143 pre-service teachers, the results revealed that participation in AI-related courses related positively to AI-TPACK and perceived AI-related usefulness. Further, AI-TPACK was positively related to perceived AI-related usefulness and ease of use, which in turn positively related to the behavioral intention to use AI in future teaching and the actual usage of AI for profession-related tasks in teacher training. The study results extend the existing research on TAM and highlight the consideration of participation in AI-related courses and AI-TPACK as further factors in understanding pre-service teachers’ AI acceptance. Full article

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. Full article

Digital twins have attracted a lot of attention recently. However, the current manifestations are merely digital shadows, lacking means for bidirectional data exchange, which makes their use for assisting the construction of buildings much more difficult. We argue that this is due to the lack of a systematic process for developing a digital twin during a building’s life cycle. We argue to look for a solution by combining agile engineering with IT change management to establish an agile, change-driven process for engineering digital twins. Such a process, of course, deserves a qualitative assessment of the engineering process and the resulting digital twin. In the future, it should be possible to obtain a digital twin from a BIM-based design process by applying IT change management in an agile manner. This should happen under maximum automation and life cycle orientation. Our proposal is motivated by several years of interdisciplinary collaboration between civil engineering and computer science and evaluated using the Technology Acceptance Model. While the TAM is not specifically designed for digital twin methodologies, its application here aims to assess perceived usefulness and ease of use of DT methodologies from the user’s perspective, without addressing scalability concerns. This aims to provide actionable insights to guide the refinement of the process model, aligning it with user requirements and achieving its intended outcomes. Our evaluation confirms the proposed process’s perceived usefulness and ease of use, with robust correlations indicating strong acceptance potential among stakeholders. These results highlight the feasibility of the proposed approach and its alignment with expectations in real-world applications. Full article

Along with the development and application of artificial intelligence technology, intelligent services are also emerging in the travel industry. Especially in the tourism and hotel industry, many organizations have started to introduce AI to assist their employees. The purpose of this study is to explore the effects of employees’ perceived usefulness and perceived ease of use of AI on customer orientation, and further analyze the mediating role of attitudes toward use and the moderating role of a proactive personality. A questionnaire was administered to hotel employees in Liaoning Province, China, and hypothesis testing was conducted using SPSS 24.0 and AMOS 22.0. It was found that the perceived usefulness and perceived ease of use significantly and positively influenced usage attitudes and customer orientation. The usage attitudes mediated between perceived usefulness/perceived ease of use and customer orientation. Proactive personality moderated the effects of perceived usefulness and perceived ease of use on usage attitudes. This study not only theoretically enriches the research related to technology acceptance modeling, but also practically provides suggestions for hotel managers to manage their employees after the introduction of AI. Full article

Generative AI, particularly tools like ChatGPT, is reshaping higher education by enhancing academic engagement, streamlining processes, and fostering innovation. This study investigates the determinants of ChatGPT adoption intentions (CGPTAIs) by extending the Technology Acceptance Model (TAM) to include the mediating roles of perceived trust (PT) and perceived risk (PR). Using a quantitative cross-sectional design, the data from 435 participants were analyzed using structural equation modeling (SEM) to explore the relationships among the perceived ease of use (PE), perceived intelligence (PI), perceived usefulness (PUSE), PT, and PR. Τhe findings reveal that the perceived ease of use (PE) and perceived intelligence (PI) significantly drive adoption intentions, while perceived usefulness (PUSE) plays a limited role. PR fully mediates the relationship between PUSE and CGPTAI and partially mediates PE and PI, while PT fully mediates PUSE and partially mediates PE, but not PI. Multi-group analysis highlights demographic differences, such as age and prior AI experience, in adoption pathways. These results challenge traditional TAM assumptions, advancing the model to account for the interplay of usability, intelligence, trust, and risk. Practical insights are provided for fostering ethical and responsible ChatGPT integration, safeguarding academic integrity, and promoting equitable access in higher education. Full article

Society’s aging is a worldwide crisis that affects many countries, as the Older Adult (OA) population is growing faster than younger populations. With this, there are fewer caregivers (CGs), and more care receivers (CRs) exist. It is vital to understand how we can ease the burden of caregiving on both the care receivers’ and caregivers’ sides. Our research focuses on robotic mobility and stability assistance for independent living OAs. We draw upon best practices from Occupational Therapy for sit-to-stand (STS) transfer techniques and question what sit-to-stand could look like if performed by a robot. Drawing inspiration from assistive devices, we designed 3 robot embodiments: a humanoid robot, a pair of robots, and a simple pole robot. We conducted a cross-cultural study with 24 CR and CG focus groups in both the United States and Japan to understand OAs’ preferences and expected functionality for continued independence in their homes. Our findings show that, from the perspectives of both CRs and CGs in both countries, TRIbot, the humanoid robot was the most preferred (Japan 34 of 48 participants; 70.8% and US 24 of 43 participants; 55.8%) for caregiving tasks as it was perceived to be the most capable of providing increased assistance as OAs age. Additionally and unsurprisingly, OAs expected the robot to perform general household tasks and that they would speak to the robot. We contextualize our results within the rising popularity of humanoid robots and the desire for general purpose Artificial Intelligence. Full article

The integration of new technologies in professional contexts has emerged as a critical determinant of organizational efficiency and competitiveness. In this regard, the application of Artificial Intelligence (AI) in recruitment processes facilitates faster and more accurate decision-making by processing large volumes of data, minimizing human bias, and offering personalized recommendations to enhance talent development and candidate selection. The Technology Acceptance Model (TAM) provides a valuable framework for understanding recruiters’ perceptions of innovative technologies, such as AI tools and GenAI. Drawing on the TAM, a model was developed to explain the intention to use AI tools, proposing that perceived ease of use and perceived usefulness influence attitudes toward AI, which subsequently affect the intention to use AI tools in recruitment and selection processes. Two studies were conducted in Portugal to address this research objective. The first was a qualitative exploratory study involving 100 interviews with recruiters who regularly utilize AI tools in their professional activities. The second study employed a quantitative confirmatory approach, utilizing an online questionnaire completed by 355 recruiters. The qualitative findings underscored the transformative role of AI in recruitment, emphasizing its potential to enhance efficiency and optimize resource management. However, recruiters also highlighted concerns regarding the potential loss of personal interaction and the need to adapt roles within this domain. The results also supported the indirect effect of perceived ease of use and perceived usefulness on the use of AI tools in recruitment and selection processes via positive attitudes toward the use of these tools. This suggests that AI is best positioned as a complementary tool rather than a replacement for human decision-making. The insights gathered from recruiters’ perspectives provide actionable recommendations for organizations seeking to leverage AI in recruitment processes. Specifically, the findings show the importance of ethical considerations and maintaining human involvement to ensure a balanced and effective integration of AI tools. Full article

Background and Methods: A primary survey of a multi-national sample of higher institutional educators has been conducted to investigate the determinants of the adoption of management simulation games. The research model is developed based on the technology acceptance model (TAM) and technology–organisation–environment (TOE). Structural equation modelling has been used to test the research model. The paper focuses on the use of management simulation games among educators in higher educational institutions (HEIs). Its purpose is to determine the factors influencing educators’ use of these games from both individual and institutional perspectives. The TAM captures the individual perspective, while the TOE framework addresses the institutional perspective. The structural equation model confirmed most of the TAM hypotheses. Results: However, the model does not support the hypotheses regarding the relationship between perceived ease of use and attitude toward usage or between perceived ease of use and perceived usefulness. The technological factors within the TOE framework did not significantly impact perceived usefulness, only perceived ease of use. Conclusion: The combined TAM-TOE model has demonstrated valid representativeness. Previous research on the usage of management simulation games has primarily focused on students, neglecting the broader perspective of educators in HEIs in business and economics within both the TAM and TOE frameworks. Full article

Background/Objectives: Lyme disease (LD) is a major public health problem in Europe and the United States, with increasing incidence and not many prevention options. Vaccine hesitancy might be a significant barrier to successful vaccination campaigns having in mind previous vaccine development failures. This study aimed to evaluate the public’s perception of LD vaccination in Poland, assess willingness to vaccinate, and identify factors influencing vaccination attitudes. Methods: A cross-sectional survey was conducted among parents of children hospitalized at the University Children’s Hospital in Bialystok, Poland. The survey consisted of 29 questions regarding demographics, LD knowledge, vaccine attitudes, and perceived risks. Data were collected between January and December 2023 and analyzed using descriptive and inferential statistics to identify predictors of respondents’ positive vaccination attitudes. Results: A total of 503 valid responses were analyzed. Most respondents (72.4%) showed positive attitudes towards vaccination, while 18.5% were neutral and 9.1% were negative. Trust in health experts emerged as an important predictor of vaccination acceptance (OR 22.84; p < 0.001). More than 80% of participants recognized an LD vaccine as necessary, and 64.21% believed it would reduce their concerns about LD. Willingness to vaccinate was influenced by general positive vaccine attitudes, recognized danger of LD, and belief in the vaccine’s ability to ease fears. Notably, 40.8% of respondents were uncertain about vaccine risks, with this group tending to be younger, less educated, and expressing lower trust in medical professionals. Conclusions: Public perception of LD in Poland indicates a high acceptance of a potential LD vaccine. Still, addressing vaccine hesitancy remains critical, particularly among undecided or neutral respondents. Building trust in healthcare professionals and addressing safety worries are important to increasing future LD vaccine use. Full article

Heightened interest in providing transparency and security within business systems and processes has triggered a multitude of studies on the adoption of emergent technologies. Blockchain technology (BCT) has emerged to address issues of transparency, efficiency, and security in manufacturing, supply chain, enterprise, and e-commerce systems. Given the enormous success of BCT in financial applications, there is keenness to explore other application areas. This research explores the integration of BCT in enterprise systems to enhance the engineering change management (ECM) process. Employing the technology acceptance model (TAM) to assess adoption intentions from the perspective of users, two concepts were examined: perceived usefulness (PU) and perceived ease of use (PEU). A quantitative survey method collected and analysed the perception data. The findings revealed a positive perception of both usefulness and ease of use from the users in adopting a blockchain-enabled enterprise platform to support the ECM process. More detailed findings uncovered the workflow management function as an area that may require further technical exploration. These findings provide valuable insights on the benefits of blockchain in optimizing business processes and contribute to the growing literature about perceptions of integrating BCT in enterprise platforms. Full article