Unified Theory Of Acceptance And Use Of Technology Model Research Articles

Unified Theory of Acceptance and Use of Technology in Evaluating Voters' Intention Towards the Adoption of Electronic Forensic Election Audit System

Electronic voting systems have been introduced to improve the efficiency, accuracy, and transparency of the election process in many countries around the world, including Nigeria. However, concerns have been raised about the security and integrity of these systems. One way to address these concerns is through the implementation of electronic forensic election audit systems. This study aims to evaluate voters' intention to the adoption of electronic forensic election audit systems using the Unified Theory of Acceptance and Use of Technology (UTAUT) model which is a robust and reasonable theory for technology acceptance. In the study, the UTAUT model which is a widely used model in the field of information systems to explain the factors that influence individuals' intention to use a technology by integrating performance expectancy, effort expectancy, social influence, facilitating conditions, cost factor and privacy factor to voters’ behavioural intention was proposed. A total of 294 sample data were collected from a selected population of electorates who had at one time or the other participated in at least an electioneering process in Nigeria. The data was then analyzed statistically using Partial Least Square Structural Equation Modeling (PLS-SEM). The results obtained show that all variables have significant effect on the electorates’ behavioral intention to adopt the development and implementation of electronic forensic election audit system in Nigeria.

UTAUT Model Mediated by Government Information System to the Intention to Use of Indonesian Local Government

Purpose – This study investigates the role of the unified theory of acceptance and use of technology (UTAUT) model on the intention to use mediated by the Government Information System. In the context of this study, the implementation of government information systems through the application of local government information systems (SIPD) in Regional Governments in Indonesia. Methodology/approach –The population in this study includes: Primary High Leadership Officials, Administrator Officers, Supervisory Officers, and SIPD Management ASNs in the Ministry of Home Affairs and local governments with a total sample of 358 respondents. This study uses a form of sampling in the form of purposive sampling and probability sampling, with the sampling technique used in the form of simple random. When viewed from the relationship between variables, this study is included in associative research. The data processing and analysis techniques used in this study were carried out through Descriptive Statistical Tests and Structural Equation Model (SEM). Findings – Based on the results of the study, it is known that Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Condition, either directly or indirectly through the Government Information System as the variable that mediates it, have had an influence on the Intention To use SIPD application. Novelty/value – The novelty of this study fills the research gap by involving the role of the government information system (SIPD) as a mediating factor between performance expectations, effort expectations, social influences, and conditions that facilitate intention to use which is limited only to age and experience as control variables. Thus, a more comprehensive picture of the results of how the influence of factors in UTAUT is mediated by the role of SIPD, and see the extent to which the implications of implementing SIPD in local government can affect the intention to use by civil servants in Indonesia and as recommendations for related parties in developing government information systems.

Does financial technology improve intention to pay zakat during national economic recovery? A multi-group analysis

PurposeZakat has succeeded in becoming one of the safety nets for welfare during the crisis. As a result, continuous improvement is a necessity, especially through strengthening technology adaptation. This study aims to explore the factors determining Muslim behavior on their intention to pay zakat by taking into consideration the adoption of digital technology using the modified Unified Theory of Acceptance and Use of Technology (UTAUT).Design/methodology/approachThe data collected were 265 respondents who live in urban and suburban areas. They were processed using the partial least square structural equation modeling (PLS-SEM) design. Furthermore, the multigroup analysis (MGA) was conducted to capture the difference results between urban and suburban.FindingsThe findings show that performance expectancy, social influence, facilitating conditions, perceived security and privacy and zakat literacy significantly increase the intention of Muzakki to adopt financial technology. Perceived security and privacy has succeeded in being an important predictor of digital payment adoption for Muzakki. This paper provides a specific description of the adoption of Muzakki living in urban and suburban areas by using MGA. The research findings illustrate that there is a different urgency between the related variables. Suburban communities have more significant results regarding the research model used.Research limitations/implicationsThis research provides new component variables that can drive individuals’ intentions to use digital services to pay zakat online by using the redesigned UTAUT model. Further research can explore more variables related to zakat digitalization, such as social media interaction, by conducting in-depth interviews with stakeholders to improve zakat performance in this digital era.Practical implicationsThe result of this research recommends that zakat institutions enhance their zakat literacy and education among the Muslim population to improve zakat performance. The government should pay attention to the digital ecosystem to attract the community to use a digital platform.Originality/valueThis research modified the UTAUT model by integrating several other important constructs to produce more comprehensive findings in investigating the factors that can influence an individual's intention to pay zakat through an online digital platform. This study also examined the indirect effect to obtain significant results by positioning perceived security and privacy as an intervening variable. The implementation of the MGA was conducted to divide research respondents into two categories (urban and suburban) and compare the test results.

UTAUT model in explaining intentions and actual behavior of e-accounting users: A literature review

The rapid integration of information technology in Indonesia has led to a notable dependence on technological solutions, notably e-accounting, within business operations. However, many Micro, Small, and Medium Enterprises (MSMEs) continue to rely on manual processes, highlighting the need to understand factors influencing the adoption of e-accounting. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this study aims to examine the impact of performance expectancy, effort expectancy, social influence, and facilitating conditions on the intention to use e-accounting among MSMEs. By synthesizing existing literature, the study underscores the importance of user experience and ease of use in the adoption of e-accounting solutions. Additionally, it emphasizes the role of social influence mechanisms, such as media exposure and customer relationships, in facilitating adoption and sustained utilization. The findings suggest that enhancing performance expectancy through user-centric design and addressing effort expectancy concerns can encourage MSMEs to embrace e-accounting. Moreover, fostering facilitating conditions and leveraging social influence can further bolster adoption rates. Therefore, understanding and addressing the factors influencing e-accounting adoption among MSMEs are essential for realizing the potential benefits of technology integration in Indonesian business contexts. By emphasizing usability and social influence, policymakers and stakeholders can promote the widespread adoption of e-accounting, thereby enhancing efficiency and competitiveness within the MSME sector.

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.

The Behaviour of Shopeefood Application Users Based on Unified Theory of Acceptance and Use of Technology (UTAUT) Modified Model in Indonesia

The use of the internet has made it easier for people to fulfill their needs and desires optimally. In order to take advantage of the convenience offered by the internet, many people carry out digital transactions using smartphones. This provides convenience for users in accessing the internet anytime and anywhere. The rapid development of technology and the availability of the internet have changed people's life patterns to become more practical and efficient. Everyone can take advantage of the convenience offered by the internet to fulfill their various daily needs. However, despite its great benefits, the use of applications and technology also creates certain challenges and problems when ordering food online using the Shopeefood application. This research aims to analyze the behavior of using the ShopeFood application based on the Modified Unified Theory of Acceptance and Use of Technology (UTAUT) Model in Indonesia. In this research, the UTAUT Model is used as a theoretical framework to understand the factors that influence ShopeFood application usage behavior. Data collection was carried out using an online survey method with purposive sampling technique. The research sample consisted of 340 respondents with the characteristics of Generation Y age range 25-40, Generation Z age range 15-25, installed the Shopee application, had used the Shopee food application, and had ordered food via the Shopeefood feature. The analysis model in data processing uses LISREL 8.8. The research results show that the variables performance expectancy, Effort Expectancy, sociol Influences, Facilitating Conditions, hedonic motivation, price saving orientation, habit, and Trust have a positive and significant effect on behavior intention. Then the Facilitating Conditions, habit and behavior Intention variables have a positive and significant influence on Shopeefood usage behavior (Use Of Behavior). Meanwhile, the Perceived of Risk variable has no significant effect on Behavioral Intention in using the ShopeeFood application.

Empowering architecture, engineering and construction students through building information modeling competitions: a deep dive into behavioral motivation

PurposeBuilding Information Modeling (BIM) competitions are a beneficial approach to enhance BIM education, offering students practical experience in BIM application, including mastering workflows and technical tools. However, research exploring the individual perceptions influencing participation intentions and behaviors in BIM competitions is limited. Therefore, this study aims to investigate the factors affecting university students' behavioral intention and behavior in BIM competitions, providing theoretical support for BIM competitions and educational reform.Design/methodology/approachThis study employs the Structural Equation Modeling (SEM) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to analyze the factors influencing BIM competition participation among 970 Architecture, Engineering, and Construction (AEC) university students.FindingsThe results of the study show that social influence, attitude, and self-efficacy play critical roles in shaping students' intentions to participate in BIM competitions. Furthermore, self-efficacy, facilitating conditions, and behavioral intention significantly influence students' actual engagement in such competitions. Surprisingly, effort expectancy negatively influences intentions, as less challenging tasks can lead students to perceive their participation as less impactful on their skills and learning, reducing their behavioral intention to participate.Originality/valueThis research provides valuable insights into the effectiveness of BIM competitions in enhancing BIM education for AEC students. Extending the UTAUT model to include self-efficacy and attitude, provides a novel perspective for understanding students' intentions and behaviors regarding BIM competitions. The study’s theoretical support proposes incorporating BIM competitions to augment BIM teaching methods and offers suggestions for advancing the efficacy of students' involvement in BIM competitions within higher education, thus contributing to educational reform in the AEC sector.

The impact of credibility of streamers on the acceptance of live streaming commerce: An extended UTAUT model

This study aims to explore how innovation adoption, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), influences online shopping through live streaming platforms. It focuses on understanding the factors that drive customer acceptance and usage behavior in the context of live streaming commerce. The research employed a quantitative methodology, utilizing a survey instrument to collect data. The participants comprised 237 online customers in Malaysia who were familiar with live streaming as a shopping medium. The SmartPLS software, which is a tool for structural equation modelling, was utilized for data analysis. The findings suggest that performance expectation, effort expectancy, and social influence, which are important components of the UTAUT theory, have a considerable impact on consumer acceptance and usage behaviour in live streaming commerce. Additionally, the credibility of streamers emerged as a critical factor influencing purchase intentions. These findings highlight the importance of streamer credibility in the live streaming shopping experience. This research offers valuable insights for online retailers and businesses utilizing live streaming platforms for commerce. Understanding the factors that encourage customer engagement and purchase can help in strategizing marketing and operational approaches. It also suggests that the streamers' credibility is a vital aspect of the shopping experience, pointing towards the need for selecting and training streamers effectively. Moreover, this study extends the applicability of the UTAUT theory to live streaming commerce, providing a framework for further research in this emerging field.

Predictors of e-Nabız acceptance among physicians: an integration of UTAUT, trust, and privacy factors

Purpose Today, e-government (electronic government) applications have extended to the frontiers of health-care delivery. E-Nabız contains personal health records of health services received, whether public or private. The use of the application by patients and physicians has provided efficiency and cost advantages. The success of e-Nabız depends on the level of technology acceptance of health-care service providers and recipients. While there is a large research literature on the technology acceptance of service recipients in health-care services, there is a limited number of studies on physicians providing services. This study aims to determine the level of influence of trust and privacy variables in addition to performance expectancy, effort expectancy, social influence and facilitating factors in the unified theory of acceptance and use of technology (UTAUT) model on the intention and behavior of using e-Nabız application. Design/methodology/approach The population of the study consisted of general practitioners and specialist physicians actively working in any health facility in Turkey. Data were collected cross-sectionally from 236 physicians on a voluntary basis through a questionnaire. The response rate of data collection was calculated as 47.20%. Data were collected cross-sectionally from 236 physicians through a questionnaire. Descriptive statistics, correlation analysis and structural equation modeling were used to analyze the data. Findings The study found that performance expectancy, effort expectancy, trust and perceived privacy had a significant effect on physicians’ behavioral intentions to adopt the e-Nabız system. In addition, facilitating conditions and behavioral intention were determinants of usage behavior (p < 0.05). However, no significant relationship was found between social influence and behavioral intention (p > 0.05). Originality/value This study confirms that the UTAUT model provides an appropriate framework for predicting factors influencing physicians’ behaviors and intention to use e-Nabız. In addition, the empirical findings show that trust and perceived privacy, which are additionally considered in the model, are also influential.

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.

Unleashing the power of perceived enjoyment: exploring Chinese undergraduate EFL learners' intention to use ChatGPT for English learning

PurposeThis study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.Design/methodology/approachA cross-sectional quantitative survey method research design was used in this study. Data were collected from 432 undergraduate students at two Chinese universities. The data analysis was carried out using SmartPLS 4, a computer software that employs the partial least squares structural equation modelling (PLS-SEM) technique. The analysis of the model was performed in two stages, including the assessment of reflective measurement model and structural model. The PLS predict was utilized to assess the model’s predicting power.FindingsFindings showed that effort expectancy, performance expectancy, social influence and perceived enjoyment were positively related to Chinese undergraduate EFL learners' intention to use ChatGPT for English learning. Perceived enjoyment mediated the relationships between effort expectancy, performance expectancy, social influence and intention to use ChatGPT for English learning respectively.Originality/valueThrough incorporating the perceived enjoyment as an intrinsic motivation into the UTAUT model to explore factors that impact Chinese undergraduate EFL learners' intention to use ChatGPT for English learning, this study has extended the applicability of the UTAUT model and provide insights into factors affecting students' intention to utilize ChatGPT or other AI-based technologies for English learning.

Does a gamified website matter? An extended UTAUT model with regulatory fit, user experience, engagement, and attitudes

Using the unified theory of acceptance and use of technology (UTAUT) model with user experience, engagement, and attitude toward a website, this study aims to draw on recent theoretical insights for the impact of regulatory fit derived for prevention-focused (promotion-focused) users faced with a more utilitarian (hedonic) website on their intentions to use the website and recycle resources. This study employed survey data from 472 Taiwanese with internet experience. Structural equation modeling was applied to analyze the developed model and hypotheses. This study shows that intention to use the website has a significantly positive effect on the practice of recycling resources. Further, social influence, facilitating conditions, and user attitude toward the website are key determinants of intention to use the website and recycle resources. This analysis also identifies the mediating effects of user experience, performance expectation, effort expectation, and engagement on the association of regulatory fit with intention to use the website and recycle resources. This study extends and validates the role played by promotion- and prevention-focused users encountering a hedonic versus utilitarian website (i.e., generation of regulatory fit) in enhancing user experience, engagement, performance expectation, and effort expectation, and in turn, intensifying behavioral intentions. In addition, it confirms the mediating effects of such experience, engagement, and expectation in an online gamification context.

Driving forward together: The common intention of Indonesians in different residential areas to use autonomous vehicles

Despite the significant benefits of Autonomous Vehicles (AVs) for global transportation, Indonesia's diverse geographical landscape encounter unique adoption challenges due to infrastructural shortcomings and economic limitations. This study explores the adoption of AVs in Indonesia, considering its potential market and crucial role in AV and Electric Vehicle supply chains. Drawing upon the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), we assessed AV acceptance across Indonesia's Metropolitan Cities, frontier regions (“3T”), and the New National Capital City (IKN) areas. Using a cross-sectional study design, we distributed an online questionnaire, focusing on demographics, perceived safety, transport mode changes, and behavioral intention towards AVs, based on TAM and UTAUT factors. From 1,255 valid responses, we found significant influences of gender (t (1253) = 4.22), safety perceptions (F (2,1252) = 52.373), and transport mode frequency (F (4, 1250) = 6.662) on AVs adoption intentions. Both TAM and UTAUT models were moderately effective in explaining willingness to use AVs (R2 = 34% and 48%, respectively). TAM highlighted perceived usefulness (β = 0.421) and ease of use (β = 0.540), while UTAUT emphasized effort expectancy (β = 0.317) and social influence (β = 0.240). However, the findings from the multigroup analysis did not corroborate the role of residential areas in determining the intention to use AVs. These findings offer crucial insights for developing AV promotion strategies, creating user-friendly designs, and formulating supportive policies for AV adoption in diverse Indonesian regions.

Enhancing Business Efficiency through Low-Code/No-Code Technology Adoption: Insights from an Extended UTAUT Model

The growing need for new applications and software has driven developers to seek quick development options. As a result, the low-code/no-code technology platform emerges as a potential option, leading to the adoption of low-code and no-code technologies in enterprises becoming a focus of inquiry. This study aims to examine users' behavioral intentions toward the adoption of the low-code/no-code technology platform, considering the increasing need for new applications. The Extended Unified Theory of Acceptance and Use of Technology (UTAUT) model serves as the theoretical framework for understanding the factors influencing individuals’ intentions to adopt low-code or no-code technologies. The study focused on the five key components of the model: Performance Expectation (PE), Effort Expectation (EE), Social Influence (SI), Perceived Risk (PR), and Perceived Cost (PC). Based on the surveys and data analysis techniques, the findings show relationship between these five categories with an individual's Behavioral Intention (BI) to adopt low-code/no-code technologies. Furthermore, the analysis identifies the most significant BI construct. These findings are beneficial to businesses seeking to enhance efficiency and expedite application development processes in response to increasing digital demands. In general, this study contributes to the topic of technology adoption and improves our understanding of the practicality of the Extended UTAUT model. Doi: 10.28991/HEF-2024-05-01-07 Full Text: PDF

Examination of the Factors Impacting the Interest of Residents in Semarang City in Mobile Health Applications: An UTAUT Analysis

Purpose: The study aims is to examine the determinants that impact the level of public interest in utilizing mobile health (m-health) applications in Semarang City, Indonesia. Our specific objective is to identify the critical factors that facilitate or impede the public's adoption of these applications.Methods: This study objective was pursued using a comprehensive approach. A study model was developed utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) as its foundation. This model encompasses essential variables including performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived trust. The process of data collecting was carried out by means of a survey that was disseminated across widely used social media channels. The study was conducted using a sample size of 257 participants who are residents of Semarang City. The data that was collected underwent a thorough analysis utilizing the Partial Least Squares - Structural Equation Model (PLS-SEM) approach.Results: The research conducted in our study resulted in several significant findings. The study revealed that several factors, namely performance expectancy, social influence, price value, and perceived trust, had a notable and beneficial impact on users' inclination towards using m-health applications. On the other hand, the variables of effort expectancy and facilitating conditions did not exhibit a statistically significant influence on the level of public interest in these applications. Furthermore, a substantial correlation was found between the behavioral intention and the actual usage behavior of inhabitants of Semarang City in their adoption of m-health applications.Novelty: The research presented in this study is distinguished by its comprehensive analysis of the various factors that impact the adoption of mobile health (m-health) applications in Semarang City. Through the incorporation and expansion of variables such as price value and perceived trust, our study provides a comprehensive and nuanced comprehension of this particular occurrence by adapting and extending the UTAUT model. Our work emphasizes the importance of performance expectancy and social influence, while also suggesting the need for additional investigation into the roles of effort expectancy and facilitating conditions. Additionally, our study offers valuable information regarding the influence of age and gender as moderators in these associations. The results of this study have significant practical implications for healthcare professionals and policymakers who are interested in promoting the use of mobile health (m-health) technologies among the public. Additionally, these findings can serve as a valuable guide for future research endeavors in this particular area of study.

The study on the influence factors of intention to continue using MOOCs: integrating UTAUT model and social presence

ABSTRACT Massive Open Online Courses (MOOCs) are the product of “internet + education”, offering open educational resources to global students. This study analyzed the factors influencing students’ intention to continue using MOOCs based on their satisfaction. To achieve research objectives this study integrates the unified theory of acceptance and use of technology (UTAUT) and social presence. A total of 481 valid samples were used to verify the hypotheses proposed using structural equation modeling (SEM) and PROCESS. The results showed that the UTAUT model (performance expectancy, effort expectancy, social influence, and facilitating conditions) had significant positive effects on student satisfaction with MOOCs. That is, it had a positive impact on the intention to continue using MOOCs. More importantly, social presence had a significant moderating effect on the relationship between UTAUT scores and satisfaction with MOOCs. Social presence weakened the impact of the UTAUT on satisfaction. Based on the research findings, implications, and limitations of this study are discussed.

Determinants of mobile application adoption among micro-entrepreneurs

Background: Since the onset of the global pandemic, unemployment has increased to new levels. As a consequence, the need to stimulate economic growth through the development of the micro-enterprise sector has become a central vehicle to decrease unemployment and stimulate economic growth. The problem, however, is that despite the potential benefits of digitisation, the micro-enterprise sector has been unable to effectively integrate information and communication technologies (ICTs) into the fabric of their operations.Objectives: The objective of this study was to investigate the factors that influence the adoption and use of mobile applications for micro-enterprise operations in South Africa.Method: A quantitative methodology using a survey design was used to collect data from a sample of entrepreneurs, with 221 responses.Results: Performance expectancy (PE) and effort expectancy (EE) positively influence the micro-entrepreneurs’ behavioural intention (BI) to adopt and use mobile applications, while social influence (SI) has no impact on the same. Facilitating conditions (FC) and BI are the strongest determinants of mobile application adoption and use for micro-enterprise operations.Conclusion: All the constructs of the unified theory of acceptance and use of technology (UTAUT) model showed a satisfactory level of reliability and discriminant validity, which was confirmed by testing the measurement model against two competing models. The UTAUT model is a good predictor of the intention to adopt and use mobile applications for micro-enterprise operations.Contribution: The findings provide parameters to develop a focussed strategy to catalyse the adoption and subsequent use of mobile applications among micro-entrepreneurs. It further informs initiatives to close the gap of a known reluctance in using technology among micro-enterprises.

Investigating accounting professionals’ intention to adopt blockchain technology

PurposeBlockchain’s potential is so significant that business activities across all industries can be drastically altered. Furthermore, the characteristics of blockchain appear to be well-suited to accounting requirements. However, accounting professionals’ attitude and intention toward blockchain adoption are not clear, particularly in India. Thus, this study aims to investigate and evaluate accountants’ intention to adopt blockchain technology in accounting activities.Design/methodology/approachThis study examined and assessed accountants’ intention to use blockchain in accounting. To effectively measure usage intention, this study extended the unified theory of acceptance and use of technology (UTAUT) model by including context-specific constructs. To empirically test and validate the proposed model, data were collected from “369” professional accountants in India.FindingsThe findings revealed that facilitating conditions, performance expectancy and initial trust had a significant impact on adoption. Furthermore, the regulatory framework materially moderated the association between usage intention and its predictors.Originality/valueThese findings provide new empirical evidence about the impact of different predictors of usage intention by extending the UTAUT model. Relevant stakeholders can refer to this pioneering study to increase the adoption of blockchain as an efficient and trustworthy system among professional accountants, particularly in developing countries such as India.

The Faktor Determinan Minat UMKM terhadap Penggunaan Aktual Menggunakan Cloud Accounting

This study aims to find evidence that the UTAUT (Unified Theory of Acceptance and Use of Technology) model is a conceptual framework for explaining the acceptance and use of cloud accounting as an online accounting service in the city of Padang. The data used in this study are primary data obtained by distributing questionnaires in person and online. This study used purposive sampling with a sample of 340 respondents who had used cloud accounting. The data analysis used in this research is Structural Equation Modeling (SEM). Data analysis techniques using SmartPLS ver.4.0 were processed. This study found evidence that social influences, facilitating conditions and positive influences on behavioral intentions; behavioral intention to actual use has a positive effect, while performance expectations and effort expectations have a negative effect on behavioral intention.

Biometrics Authentication for E-payment

This study is designed to assess several key predictors of user intention to accept biometrics authentication for e-payment. To do so, a research model is constructed based on the prominent unified theory of acceptance and use of technology (UTAUT) framework. Further, the UTAUT model is expanded by integrating three prevalent constructs that are essential to accept biometrics authentication. As the principal analytical tools, structural equation modelling (SEM) and importance performance map analysis (IPMA) are employed. The study reveals significant effects of performance expectancy, effort expectancy, social influence, perceived risk and perceived trust on attitude. Moreover, attitude, facilitating conditions, and perceived trust play a substantial role in predicting user adoption intention to biometrics authentication in e-payment. The IPMA suggests that perceived trust and facilitating conditions fall into the critical zone, requiring special managerial considerations. This research has offered a comprehensive research model to explore users’ biometrics authentication adoption behaviour, particularly in the field of e-payment. This study assesses the initial adoption behaviour of biometrics authentication in e-payments; therefore, assessing users’ continuance usage behaviour of this technology can be a potential for future research