Unified Theory Of Acceptance And Use Of Technology Framework Research Articles

Navigating Patients’ Intentions in Smart Health: Insights from Novel Factors

This research aims to evaluate the extent to which a specific set of factors affect patients’ intention to adopt and use smart health applications. These factors, derived from the unified theory of acceptance and use of technology (UTAUT), include technology anxiety (TA), perceived reliability (PR), inertia (Int) and privacy concern (PC). Data were collected from 259 participants via a cross-sectional survey. The researchers employed the partial least squares (PLS) method for data analysis using SmartPLS, a statistical tool based on structural equation modelling (SEM). The findings indicate that performance expectancy, facilitating conditions, Int and PR significantly influence patients’ intentions to adopt smart health services. However, no significant relationships were found between effort expectancy, social influence, PC, TA and the intention to adopt smart health services. This study contributes to the literature by integrating additional factors (TA, PR, Int and PC) into the UTAUT framework. Limitations of the study include the cross-sectional design, which may not capture changes over time, and the reliance on self-reported data, which may be subject to biases. Future research should consider longitudinal studies to examine the evolving nature of technology adoption and explore additional contextual factors that might influence patient intentions. This research provides practical insights for healthcare practitioners aiming to enhance the adoption of smart health applications.

Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework

The rapid evolution of Artificial Intelligence (AI) and its widespread adoption have given rise to a critical need for understanding the underlying factors that shape users' behavioral intentions. Therefore, the main objective of this study is to explain user perceived behavioral intentions and use behavior of AI technologies for academic purposes in a developing country. This study has adopted the unified theory of acceptance and use of technology (UTAUT) model and extended it with two dimensions: trust and privacy. Data have been collected from 310 AI users including teachers, researchers, and students. This study finds that users' behavioral intention is positively and significantly associated with trust, social influence, effort expectancy, and performance expectancy. Privacy, on the other hand, has a negative yet significant relationship with behavioral intention unveiling that concerns over privacy can deter users from intending to use AI technologies which is a valuable insight for developers and educators. In determining use behavior, facilitating condition, behavioral intention, and privacy have significant positive impact. This study hasn't found any significant relationship between trust and use behavior elucidating that service providers should have unwavering focus on security measures, credible endorsements, and transparency to build user confidence. In an era dominated by the fourth industrial revolution, this research underscores the pivotal roles of trust and privacy in technology adoption. In addition, this study sheds light on users' perspective to effectively align AI-based technologies with the education system of developing countries. The practical implications encompass insights for service providers, educational institutions, and policymakers, facilitating the smooth adoption of AI technologies in developing countries while emphasizing the importance of trust, privacy, and ongoing refinement.

Use of ChatGPT for education by engineering students in developing countries: a mixed-methods study

ABSTRACT Developing countries face challenges in AI integration into learning initiatives. With the widespread use of ChatGPT, many concerns were expressed. Thus, it is crucial to investigate students' attitudes toward ChatGPT and the factors influencing their decision to continue using it in the future. We used a mixed-methods triangulation design based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and collected data based on convenience sampling from N = 195 engineering students in developing countries through semi-structured surveys with open-ended questions. Quantitative analysis included descriptive statistics and logistic regression, while thematic analysis was used for the qualitative part. Most students (89.69%) use ChatGPT, with all the elements of the UTAUT framework being strong predictors of their intention to continue. Most have continuous internet access and feel comfortable using technology. High-frequency usage, perceived benefits, and peer encouragement positively influence students' intention to continue using ChatGPT. However, concerns about accuracy, privacy, and laziness negatively correlate with usage intention. Address personal, institutional, and governmental concerns to integrate ChatGPT safely in educational systems, ensuring equitable access and preparing for future e-learning initiatives.

Researchers and social networking sites usage: the application of UTAUT theory

Purpose This study aims to investigate the use of social networking sites (SNS) by researchers and their behaviours when conducting research-related activities by applying the unified theory of acceptance and use of technology (UTAUT) theory. Design/methodology/approach An online survey was distributed. This study’s design is derived from the UTAUT framework’s questionnaire items. The sample of this study comprised 216 respondents from 40 universities in the United Kingdom. Descriptive statistics were used to analyse the data. Findings Respondents revealed a positive relationship between the four constructs of the UTAUT framework (performance expectancy, effort expectancy, social influence and facilitating condition) associated with their intention to use SNS. Research limitations/implications Most of the respondents were from the University of Strathclyde, so the authors cannot generalize the findings to other universities. Practical implications The findings will offer an extensive understanding of the value of SNSs, which will aid researchers to increase their visibility, and research activities online. Originality/value The results will provide an in-depth knowledge of the importance of SNSs, helping scholars to become more visible and engage in online research. A number of factors impacted how researchers behaved on SNSs and what they intended to use for research-related activity. School administrators, experts and other sponsors could take action to promote the use of SNSs in educational settings based on the findings. The study’s findings offer insightful knowledge to those who create SNS websites. By using this information, they will be able to improve these sites for research and study and gain a better understanding of the demands of SNS users.

Investigating the Adoption of Blockchain Technology in Agri-Food Supply Chains: Analysis of an Extended UTAUT Model

Against a backdrop of globalization, dynamic shifts in consumer demand, and climate change impact, the intricacies of agri-food supply chains have become increasingly convoluted, necessitating innovative measures to guarantee agri-food security and authenticity. Blockchain technology emerges as a promising solution, offering transparency, immutability, traceability, and efficiency in the overall supply chain. This study aims to investigate determinants impacting both the intention to use and the actual usage of blockchain-driven agri-food supply chain platforms. To achieve this, an expanded and adapted conceptual model rooted in the Unified Theory of Acceptance and Use of Technology (UTAUT) was formulated and empirically examined through Partial Least Squares Structural Equation Modeling using data from 175 respondents from agri-food companies across eight European countries. Agri-Food Supply Chain Partner Preparedness (FSCPP) emerged as the pivotal factor with the highest degree of influence on the intention to use blockchain-driven supply chain platforms. Additionally, the results from this study offer support for the significant influence of Performance Expectancy (PE), Effort Expectancy (EE), and Perceived Trust (PT) on usage intention, while also revealing the positive impact of Organizational Blockchain Readiness (OBR) on expected Usage Behavior (UB). This study provides significant insights into blockchain adoption within agri-food supply chains, contributing to the existing literature through an extended UTAUT framework.

Understanding the Adoption of Artificial Intelligence in Journalism: An Empirical Study in Vietnam

This study examines the factors influencing Vietnamese journalists’ adoption of Artificial Intelligence in journalism. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, it hypothesizes that performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, regulatory support, and technology affinity and incorporating additional trust, regulatory support, and technology affinity have significant impacts on journalists’ adoption of technology. Questionnaires were administered to 238 journalists in the context of the Vietnamese press. The findings showed the significant impact of performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, regulatory support, and technology affinity on journalists’ adoption of AI in journalism. These results expand the UTAUT framework and offer a more comprehensive understanding of technology adoption in journalism. Practically, the study provides valuable insights for practitioners and policymakers in the journalism industry. Understanding the determinants of journalists’ adoption can inform the development of targeted interventions, training programs, and regulatory frameworks to facilitate the integration of AI technologies into journalistic practices. However, the study has limitations, and future research should replicate the findings in diverse cultural and organizational contexts while considering additional moderating factors.

Novel extension of the UTAUT model to assess e-learning adoption in higher education institutes: The role of study-life quality

The study aims to improve the existing unified theory of acceptance and use of technology (UTAUT) framework to understand the adoption of e-learning platforms in developing countries and to understand the relevance of the quality of study life among students. The constructs for the UTAUT model were chosen based on the e-learning study context and expanded with the variable study-life quality. The expanded model was tested with empirical data collected from graduate and post-graduate students of higher education institutes. The hypotheses testing and adequacy of the expanded model were analysed using structural equation modeling using SmartPLS v 3.2.8. The study’s findings indicate that nine out of the twelve hypothesized paths significantly influenced students’ engagement with e-learning platforms, and a total of six significant variables explained a variance of 65.8% of the dependent variable behavioral intention. The variable study-life quality had the highest β coefficient value of 0.380, indicating that it is the most significant factor for e-learning adoption in this study setting. The study adds to the publication on adoption theories by providing an expanded UTAUT framework that is empirically tested.

Future of Retailing in Metro Manila: DIY Homeowners’ Acceptance and Use of Technology in an Omnichannel Retailing

This paper investigates the multifaceted realm of consumer behavior within Metro Manila’s hardware industry, focusing on omnichannel factors that shape purchase intentions. Drawing from Venkatesh et al.’s 2003 Unified Theory of Acceptance and Use of Technology (UTAUT) model, the researcher adapted the theoretical framework by eliminating moderators and substituting Facilitating Conditions with Habit and Perceived Security. To unravel the intricacies of consumer preferences, a quantitative approach was employed, utilizing a survey instrument administered to 400 DIY homeowners-representing a cross-section of the target population. The research methodology incorporated Slovin’s formula for sample size determination, ensuring a robust and representative dataset. Additionally, Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze the data and derive meaningful insights. This methodological approach allows for a refined exploration of the relationships between variables, offering a quantitative foundation for answering the research questions. The results elucidate the pivotal roles of Performance Expectancy and Perceived Security in positively influencing Purchase Intent. Notably, the study unveils a significant positive relationship between Purchase Intent and Usage Behavior, emphasizing the consequential impact of intention on subsequent consumer actions. This comprehensive exploration provides valuable insights for industry practitioners seeking to refine their omnichannel strategies in the hardware sector. By deciphering the intricate interplay of factors influencing consumer behavior, businesses can optimize their approaches, fostering greater engagement and loyalty among DIY homeowners in Metro Manila. This research contributes significantly to the evolving discourse on omnichannel dynamics, offering a nuanced perspective grounded in empirical evidence and a modified UTAUT framework.

Acceptance of The SAKTI Financial Management Government Application Systems in Indonesia Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) Model

This study aims to test and measure the factors that can increase the acceptance of SAKTI at the North Sumatra Agricultural Quarantine Center based on the UTAUT framework. The findings processed 35 respondent data from the survey method and analyzed using partial least squares (PLS) structural equation modelling (SEM) with path coefficient. The results showed that social influence and facilitating condition variables strongly influence the acceptance of SAKTI. The existence of adequate computers, internet networks, and government obligations has resulted in SAKTI being increasingly accepted by work units in managing finances. Improving the quality of tools that support the use of SAKTI and the influence of related agencies can be a solution for the government to increase the acceptance of SAKTI.

Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology

Addressing the growing popularity of mobile health (m-Health) technology in the health industry, the current study examined consumers’ intention and behaviour related to the usage of digital applications based on the unified theory of acceptance and use of technology (UTAUT). In particular, this study quantitatively assessed the moderating role of perceived product value and mediating role of intention to use m-Health application among Indonesians. This study adopted a cross-sectional design and collected quantitative data from conveniently selected respondents through an online survey, which involved 2068 Telegram users in Indonesia. All data were subjected to the analysis of partial least square- structural equation modeling (PLS-SEM). The obtained results demonstrated the moderating effect of perceived product value on the relationship between intention to use m-Health application (m-health app) and actual usage of m-Health app and the mediating effects of intention to use m-Health app on the relationships of perceived critical mass, perceived usefulness, perceived convenience, perceived technology accuracy, and perceived privacy protection on actual usage of m-Health app. However, the intention to use m-Health app did not mediate the influence of health consciousness and health motivation on the actual usage of m-Health app. Overall, this study’s findings on the significance of intention to use m-Health app and perceived product value based on the UTAUT framework serve as insightful guideline to expand the usage of m-Health app among consumers.

UTAUT Model Insights on the Adoption of Smart Farming Technologies (SFTs) in Malaysia

This study explores the adoption of Smart Farming Technologies (SFTs) through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. In conjunction with the fact that agriculture is currently facing worldwide issues, SFTs present potential approaches to increase production and sustainability However, the rate at which they are being adopted, especially in developing countries such as Malaysia, is not meeting the anticipated level. This review compiles current literature on the adoption of SFTs utilizing the UTAUT framework by examining important factors such as performance expectancy, effort expectancy, social influence, and facilitating conditions. The analysis demonstrates that these characteristics have a substantial impact on farmers’ intentions to use SFTs, with their relative significance varying depending on different circumstances. Performance expectancy is a significant factor in predicting adoption intentions, whereas social influence has a vital impact on farmers’ decisions, particularly in community-oriented agricultural environments. Facilitating conditions, including access to resources and technical support, are especially important for smallholder farmers. The study also reveals the complex relationship between behavioral intention and actual usage behavior, highlighting the importance for comprehensive initiatives to encourage the adoption of SFTs.

The Role of Attitude in the Unified Theory of Acceptance and Use of Technology: A Meta-analytic Structural Equation Modelling Study

The Unified Theory of Acceptance and Use of Technology (UTAUT) model has been widely used to explain user intention and use behavior. Past research has added attitude to the UTAUT framework to examine further how it influences technology adoption. This study utilized a combined meta-analysis and structural equation modelling [approach] to examine how the model, when extended with attitude as a variable, differs from its original UTAUT model and whether there are emerging relationships among the existing constructs. Based on 21 empirical studies that included attitude in various extended models, the results showed that attitude was a significant predictor of behavioral intention and use behavior. The study also revealed that facilitating conditions emerged as the strongest predictor of use behavior in the presence of attitude as a construct. In conclusion, while the inclusion of attitude as a separate construct in the UTAUT model has provided a more comprehensive understanding of technology adoption and usage behavior, this study showed that it did not enhance its explanatory power.

PENGGUNAAN E-WALLET DALAM TRANSAKSI E-COMMERCE: ANALISIS UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

E-wallet is an electronic service used as a payment tool in electronic form where the amount of money will be stored in a certain electronic medium. However, there are still problems related to privacy and data security also network access while using e-wallet. The use of e-wallet is expected to increase efficiency and effectiveness in conducting transactions, helping the smoothness of small but frequent mass transactions. The Unified Theory of Acceptance and Use of Technology (UTAUT) analysis is used to predict a person's attitudes and acceptance of the technology used and provide information on what factors can encourage the user's attitudes. The purpose of this study is to analyze the use of e-wallets in transactions on e-commerce using the UTAUT framework and to determine the impact of using E-wallets as a non-cash payment tool for e-commerce using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework on 109 student respondents of Faculty Economics and Business Satya Wacana Christian University using explanatory research through a quantitative approach. The results of this study prove that there are two accepted hypotheses. Only the social influence and facilitating conditions variables have a positive and significant effect on the user's interest in using the ShopeePay service with an interest in transactions on e-commerce.

Exploring the intention to use mobile learning applications among international students for Chinese language learning during the COVID-19 pandemic

PurposeThis study aims to improve the Unified Theory of Acceptance and Use of Technology (UTAUT) model by examining technological anxiety and other influential factors on international students' adoption of mobile learning (m-learning) during COVID-19 emergency remote teaching (ERT).Design/methodology/approachThis study utilized the modified UTAUT framework to test hypotheses through a cross-sectional survey method. Participants were university students studying Chinese as a foreign language who were selected using a convenience sampling approach. An online questionnaire was then administered. The data collected from the surveys were analyzed using the partial least squares method with SmartPLS 4 software.FindingsThe study examined 16 hypotheses and found support for six of them. The results confirmed that performance expectancy (PE) is a significant predictor of behavioral intention (BI), and anxiety influences both PE and effort expectancy. The negative effect of social influence on anxiety was found to be significant, while facilitating conditions had a negative impact on learners' self-efficacy. The model fit indices indicated a good overall fit for the model.Research limitations/implicationsThis study presents a valuable contribution to the literature on m-learning in emergency education by incorporating technological anxiety into the enhanced UTAUT model. Examining the relationships between the key factors of the model provides a better understanding of learners' intentions and can inspire researchers to establish new theoretical foundations to evaluate the roles of these factors in diverse educational settings.Practical implicationsThe study found that performance expectations are linked to learners' intentions, and anxiety indirectly affects BIs to use mobile learning platforms. Thus, these platforms should be designed to meet learners' expectations with minimum effort and eliminate anxiety triggers to facilitate ease of use. Language curriculum developers and policymakers should incorporate mobile learning applications to support diverse language skills, address students' needs and encourage their use through professional development opportunities for instructors.Social implicationsSocial factors have been found to significantly influence anxiety levels among learners. Therefore, it is crucial for teachers and family members to play an essential role in mitigating anxiety's adverse effects. Discussing related issues can enhance the quality of mobile learning and stimulate social initiative by providers, ultimately improving the learning experience for all learners, regardless of their location or circumstances. This can also contribute to the growth and development of society.Originality/valueThis study contributes to the originality of m-learning development by proposing an enhanced UTAUT model that considers anxiety and emphasizes the critical role of foreign learners' BIs. It provides fundamental guidelines for designing and evaluating m-learning in ERT contexts.

Examining the UTAUT Framework in Understanding the Perception-Intention Dynamics of Accounting Information Systems in the Age of Industry 4.0

Purpose: This research investigates the relationship between students' perceptions of a digital accounting laboratory and their intention to utilize it. This research is conducted in response to the challenges and opportunities posed by the Fourth Industrial Revolution and the Digital Economy.Method: The study adopts the Unified Theory of Acceptance and Use of Technology (UTAUT) to understand and explain the factors influencing students' intention to use the Digital Accounting Laboratory. Data were collected from students in the Department of Accounting at the Faculty of Economics and analyzed using SEM-PLS statistical method.Findings: The research findings indicate that students' intention to utilize the Digital Accounting Laboratory for project-based learning, to enhance their competency in digital accounting during the era of the Industrial Revolution 4.0 and the Digital Economy is significantly high. The intention is positively influenced by performance expectations, effort expectancy, social influences, and facilitating conditions. Furthermore, the use of Digital Accounting Laboratories contributes to improving students' competence in digital accounting, aligning with the needs of business entities in the Industrial Revolution 4.0 era and the Digital Economy.Novelty: This research contributes to the field by providing insights into developing and utilizing digital technologies in accounting education. Establishing a Digital Accounting Laboratory and its positive impact on students' intention and competence in digital accounting offer new perspectives for adapting to the challenges and opportunities of the Industrial Revolution 4.0 and the Digital Economy.

A modified UTAUT framework to predict students' intention to adopt online learning: moderating role of openness to change

PurposeThe current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India. The moderating role of openness to change in influencing the proposed relationships is also assessed.Design/methodology/approachA structured questionnaire was emailed to 650 students enrolled in various courses in public and private universities in India. In total 424 responses were considered for analysis using structural equation modeling (SEM). Moderation analysis was carried out with multi-group SEM and chi-square difference tests.FindingsThe results reveal that there is a significant impact of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FS) and perceived security (PS) on students' intention to adopt online learning. Further, openness to change moderates the impact of PE, FS and PS on intention of students to opt for online learning.Originality/valueThis study is one of the initial efforts to examine the factors affecting students' intention to adopt online learning at the onset of third wave of coronavirus disease 2019 (COVID-19) pandemic in India. Besides the factors of the UTAUT model, this study highlights the importance of PS and openness to change in influencing students' intention to opt for online learning.

Modeling public acceptance of demand-responsive transportation: An integrated UTAUT and ITM framework

Demand-responsive transportation (DRT) is a flexible form of shared mobility in which service provision is shaped by the user demand. DRT has been considered a sustainable mobility solution, as it reduces CO2 emissions from fixed-route services and encourages a mode shift from private cars to shared mobility. Given that public acceptance is a key for the wider diffusion of DRT, this study explored the factors affecting usage intention for DRT in the Republic of Korea. Drawing on the unified theory of acceptance and use of technology (UTAUT) and the initial trust model (ITM), a conceptual framework was developed that linked attitudinal and psychological factors to behavioral intention for DRT usage. 1168 valid observations were collected from adults aged 19–64 years in the Republic of Korea using a structured online survey, and analyzed using structural equation modeling. The results showed that the four UTAUT constructs (performance expectancy, social influence, facilitating conditions, and environmental concerns) were directly related to intention for DRT usage. Indirect impacts of perceived safety, structural assurance, familiarity, performance expectancy, and effort expectancy on initial trust were also found. Consequently, the constructs with the greatest total effect on usage intention were (in order of relevance) initial trust, performance expectancy, social influence, and structural assurance. As one of the few attempts to examine public acceptance of DRT, it is expected that findings from this study could contribute to the literature by providing insights into potential users’ attitudes toward DRT. This study further offers guidance on designing interventions intended to promote a transition toward increased operational efficiency through policy developments for DRT, thereby achieving sustainable development.

Autonomous Delivery Robots for Urban Last-mile Logistics Operations: a modified UTAUT framework

Interest in autonomous deliveries among logistics service providers (LSP) is growing. This is due to pressure regarding emission reduction regulations, driving bans inside cities, and growing service demands. Autonomous Delivery Robots (ADR) can form a solution and help to optimize current logistics operations. This work investigates factors that might influence the behavioural intention to use ADR. Focus is on decision-makers of LSP. Data was collected through an online survey. The questionnaire is based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Results provide insights concerning factors shaping the acceptance of ADR for last-mile logistics operations. The factors performance expectancy, facilitating conditions, experience, trust, and perceived risk were found to affect the behavioural intention.

Investigating the Acceptance of Marine Ecotourism after the COVID-19 Pandemic in Taiwan

Due to its rich marine biological resources, Taiwan is a place worthy of developing marine ecotourism. This study explores the marine ecotourism intentions and marine ecotourism behaviors of tourists during the COVID-19 pandemic by using the unified theory of acceptance and use of technology (UTAUT) method. Under the UTAUT framework, this study considered the factor of environmental attitudes and issued questionnaires in four research areas, namely, Yilan Wushi Fishing Harbor, Port of Hualien, Hualien Stone Stairs Platform, and Taitung Chengfong Fishing Port. In total, 431 effective research samples were collected. First, this study verified the validity and reliability of the dimensions through confirmatory factor analysis. According to the results of structural equation modeling (SEM) analysis, performance expectancy, effort expectancy, social influence, and environmental attitude all have an influence on tourists’ marine ecotourism intentions, while facilitating conditions had no influences on tourists’ marine ecotourism intentions. Tourists’ marine ecotourism intentions further influenced their marine ecotourism behaviors. In addition, this study evaluated the mediating effect of marine ecotourism intentions by nested-model analysis. Finally, this study provided substantive policy recommendations as a reference for tourism management units and local governments.

A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19

COVID-19 pandemic expedites the development of digital technologies to tackle the spread of the virus. Several digital interventions have been deployed to reduce the catastrophic impact of the pandemic and observe preventive measures. However, the adoption and utilization of these technologies by the affected populace has been a daunting task. Therefore, this study carried out exploratory investigation of the factors influencing the behavioural intention (BI) of people to accept COVID-19 digital tackling technologies (CDTT) using the UTAUT (Unified Theory of Acceptance and Use of Technology) framework. The study applied principal components analysis and multiple regression analysis for hypotheses testing. The study revealed that performance expectancy (PE), facilitating conditions (FC) and social influence (SI) are the best predictors of people's BI to accept CDTT. Also, organizationalinfluence and benefit (OIB) and government expectancy and benefits (GEB) influence the people's BI. However, variables such as age, gender and voluntariness to use CDTT have no significance to influence BI because the CDTT is still nascent and not easily accessible. The results show that the decision-makers and regulators should consider inciting variables such as PE, FC, SI, OIB and GEB, that motivate the acceptance and use of CDTT. Furthermore, the populace must be sensitized to the availability and use of CDTT in all communities. Also, the path diagram and hypothesis testing results for CDTT acceptance and use, will help government and private organizations in planning and responding to the digitalization of COVID-19 protective measures and hence revise the COVID-19 health protection regulation.