Technology Acceptance Research Articles

The utility of smart government services apps solutions in the post-pandemic era

Purpose The main purpose of this study is to determine the antecedent factors of smart government service apps intention and its impact on actual use by extending the unified theory of acceptance and use of technology (UTAUT) in the Jordanian context. Design/methodology/approach To achieve the main purpose, a quantitative method was used to test collected data, and hypotheses testing through using statistical package for social sciences (SPSS) and smart partial least squares software. Findings The findings indicate that social media advertising has a positive effect on both social influence and peer influence. Furthermore, it demonstrated a significant effect of social influence on performance expectancy. In addition, there is a direct correlation between the government capacity, effort expectancy, facilitating conditions and the intention to use e-government services. Lastly, the results mainly show that the actual use of e-government services is significantly and positively influenced by intention and self-isolation. Next, as expected, self-isolation moderated the relationship between intention to use and actual use of e-government services via the Sanad application, and hence the related hypothesis was supported. Originality/value This study provides practical recommendations for the policy-makers in the Jordanian e-government and Ministry of Digital Economy and Entrepreneurship (MoDEE) in Jordan.

An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Beta Stage Usability Study.

Previous research demonstrated that caregivers of children with cancer desired a mobile health (mHealth) tool to aid them in the medical management of their child. Prototyping and alpha testing of the Cope 360 app (Commissioning Agents, Inc) resulted in improvements in the ability to track symptoms, manage medications, and prepare for urgent medical needs. This study aims to engage caregivers of children with cancer in beta testing of a smartphone app for the medical management of children with cancer, assess acceptance, identify caregivers' perceptions and areas for improvement, and validate the app's design concepts and use cases. In this pilot, study caregivers of children with cancer used the Cope 360 mHealth app for 1 week, with the goal of daily logging. Demographics and a technology acceptance survey were obtained from each participant. Recorded semistructured interviews were transcribed and analyzed iteratively using NVivo (version 12, QSR International) and analyzed for information on usage, perceptions, and suggestions for improvement. A total of 10 caregivers participated in beta testing, primarily women (n=8, 80%), married, with some college education, and non-Hispanic White (n=10, 100%). The majority of participants (n=7, 70%) had children with acute lymphocytic leukemia who were being treated with chemotherapy only (n=8, 80%). Overall, participants had a favorable opinion of Cope 360. Almost all participants (n=9, 90%) believed that using the app would improve their ability to manage their child's medical needs at home. All participants reported that Cope 360 was easy to use, and most would use the app if given the opportunity (n=8, 80%). These values indicate that the app had a high perceived ease of use with well-perceived usefulness and behavioral intention to use. Key topics for improvement were identified including items that were within the scope of change and others that were added to a future wish list. Changes that were made based on caregiver feedback included tracking or editing all oral and subcutaneous medications and the ability to change the time of a symptom tracked or medication administered if unable to do so immediately. Wish list items included adding a notes section, monitoring skin changes, weight and nutrition tracking, and mental health tracking. The Cope 360 app was well received by caregivers of children with cancer. Our validation testing suggests that the Cope 360 app is ready for testing in a randomized controlled trial to assess outcome improvements.

Trust Dynamics in Financial Decision Making: Behavioral Responses to AI and Human Expert Advice Following Structural Breaks.

This study explores the trust dynamics in financial forecasting by comparing how individuals perceive the credibility of AI and human experts during significant structural market changes. We specifically examine the impact of two types of structural breaks on trust: Additive Outliers, which represent a single yet significant anomaly, and Level Shifts, which indicate a sustained change in data patterns. Grounded in theoretical frameworks such as attribution theory, algorithm aversion, and the Technology Acceptance Model (TAM), this research investigates psychological responses to AI and human advice under uncertainty. This experiment involved 157 participants, recruited via Amazon Mechanical Turk (MTurk), who were asked to forecast stock prices under different structural break scenarios. Participants were randomly assigned to either the AI or human expert treatment group, and the experiment was conducted online. Through this controlled experiment, we find that, while initial trust levels in AI and human experts are comparable, the credibility of advice is more severely compromised following a structural break in the Level Shift condition, compared to the Additive Outlier condition. Moreover, the decline in trust is more pronounced for human experts than for AI. These findings highlight the psychological factors influencing decision making under uncertainty and offer insights into the behavioral responses to AI and human expert systems during structural market changes.

Effect of Perceived Usefulness of Digitized System on Rental Income Tax Compliance Among Landlords in Makadara Constituency, Nairobi County, Kenya

Purpose: Despite the tremendous growth in real estate, the corresponding tax collection from the sector has remained low. The contribution by rental income earners has been low despite all the efforts to enforce rental income tax policies. The study examined the perceived usefulness of digitized system on rental income tax compliance among landlords in Makadara Constituency, Nairobi County, Kenya. Methodology: It was guided by a unified theory of acceptance and use of technology the study adopted an explanatory research design. The target population was 4,927 landlords in Makadara Nairobi County. The sample size of the study was 369, and the study questionnaires that were correctly filled and returned were 230. The study used primary data which was collected using structured questionnaires with close-ended questions and a pilot test was conducted to test reliability and validity. Results: The study found that Perceived usefulness of digitized system and rental income tax compliance, β=0.261 p-value =0.000<0.05. Conclusion: Based on the findings the study recommends that the KRA should launch widespread campaigns to educate landlords about the usefulness of digitized systems. Future studies could be conducted to determine the impact of tax reforms on rental income tax compliance.

Different Perception and Use of ChatGPT in Writing Between American and International Students

The emergence of AI writers has significantly affected and reshaped the environment of academic research and paper writing in the world. Many university students relying on these AI tools for searching information and assisting their writing. However, there will be a difference existed in the utilization and perceptions of AI writers between American and international students. To find out potential difference, this study seeks to delve into the underlying factors that may contribute to this contrast. Employing the Technology Acceptance Model (TAM) as a theoretical framework, which investigates users' acceptance and adoption of technology, the research employs a mixed-method approach comprising surveys and interviews conducted among students from both American and international contexts. By integrating TAM into the methodology, the study aims to investigate the motivations to use of ChatGPT, an AI writing tool, and examine how linguistic and cultural differences influence the user experience of AI writers. Through this approach, the research sheds light on the nuanced ways in which AI writers are integrated into the academic workflows of students from diverse backgrounds. By comparing and contrasting the perspectives and practices of American and international students, the study will provide valuable insights into the interplay between technology, language, and culture in the educational domain. Ultimately, this research will contribute to a deeper understanding of the complex dynamics shaping the adoption and usage of AI writers among higher education students worldwide.

Understanding the drivers of consumers’ acceptance and use of service robots in the hotel industry

Purpose This study aims to discover factors and configurations that influence customers’ acceptance behaviors to investigate the current hospitality industry using service robots. Design/methodology/approach A mix of symmetrical and asymmetrical modeling methods was used for the data analysis. The symmetrical modeling was used to find the net effects, whereas asymmetrical modeling was adopted to find the combined configurations for hotel guests’ robot service acceptance behaviors. Findings The results revealed the significant effect of innovativeness, willingness to be a lighthouse customer, personal norms and concern about service robot performance on acceptance behaviors. In addition, the complex solution models using characteristics of tech-forward consumers, norms and attitude and uncertainty and concern were found. Practical implications The study shows directions to hotel marketers, to help them make customers adopt service robots. Originality/value The study explored customer service robot acceptance behaviors based on comprehensive theoretical backgrounds, including the technology acceptance model, theory of planned behavior, norm activation model and service robot acceptance model.

Exploring diabetic patients’ intention to switch POCT self-monitoring glucose devices: investigating influence of perceived usefulness and perceived ease of use

Purpose The study aims to examine diabetic patients’ switching intentions toward self-monitoring blood glucose devices, incorporating perceived usefulness and perceived ease of use, with switching cost as a moderator. Design/methodology/approach A self-administered questionnaire was developed using established measuring scales. Data from 321 respondents was collected and analyzed using the partial least squares structural equation modeling approach. Findings Results indicate that perceived usefulness and perceived ease of use influence switching intention. Switching cost does not moderate the perceived usefulness, perceived ease of use and switching intention. This study reveals important information for healthcare practitioners and device manufacturers. Originality/value The significance and originality of this study stem from its pioneering investigation into the switching intentions of diabetic patients regarding self-monitoring glucose devices through the application of the technology acceptance model, thereby addressing a notable gap in the existing literature on diabetes management and technology adoption, which has lacked comprehensive examination of patients’ transition behaviors in this specific context.

Intention to Use Leucorrheea Self-Test Innovation Kit and Collection Data through Mobile Application in Bangkok

Leukorrhea, or abnormal vaginal discharge (fungi, bacteria, and protozoa), can be indicated bacterial vaginosis or STIs. If not treated, these infections may lead to complications impacted fertility such as pelvic inflammatory disease (PID). Therefore, the goal is to develop a self-test kit for vaginal discharge detecting all three pathogens in one device. This study examines the acceptance of innovative technologies and factors affecting the intention to self-administered leucorrhoea test kits (SALTK) with results presentation and data transmission via mobile phones. Factors influencing such intention included technology acceptance (Technology Acceptance Model: TAM), facilitating conditions, social influence, and perceived privacy risk. The data were collected using an online Google Form questionnaire. A total of 450 valid questionnaires were used for analysis. The descriptive statistics employed in this study included percentage, means, and standard deviation, and the hypothesis was tested using multiple regression analysis. It was found that the factors impacting the intention to use SALTK with a statistical significance level of .05 were facilitating condition, social influence, perceived privacy risk, and three key technology acceptance components, namely perceived usefulness, perceived ease of use, and attitude toward using, respectively. SALTK modulates the beneficial for public health policies in Thailand and government agencies, the Food and Drug Administration and the Department of Disease Control, establishing prevention to reach the international standards.

Contestation in social acceptance of direct air capture (DAC) technologies in Korea by differing framings over governance principles

Recently, DAC technologies have been recognized as a viable innovation in Korea’s mitigation efforts. In 2023, while formulating a specific implementation plan to meet the national mitigation target in Korea’s 2030 nationally determined contribution (NDC), the government considered setting a separate mitigation target for DAC technologies alongside the existing target for carbon capture, storage, and utilization (CCUS) technologies. During government-wide meetings, a clear divide emerged between supporters and opponents. Despite strong demand from supporters, the final national implementation plan did not include a mitigation target for DAC technologies. Focusing on this contestation, this paper explores why setting a separate target for DAC technologies was contested and not accepted at the policy-drafting stage. From the theoretical ground of social acceptance of new and innovative technologies, this paper utilizes four governance principles as social norms with which stakeholders understand and interpret DAC technologies, and analyzes differing framings on DAC technologies. Research results show that dominant framing approaches, hindering the establishment of a DAC technology-specific mitigation target, are i) risks of considering short-term and binding targets in commensurate with long-term targets through DAC technologies, ii) the uncertainty of mitigation potentials by technologically and methodologically under-developed DAC technologies, and iii) the inefficiency of financial investment for DAC technologies. This paper concludes with policy recommendations, emphasizing the need to establish binding short- and mid-term targets in alignment with the 2050 long-term target, government support for technology demonstrations, methodological assistance for leveraging carbon markets, and a redefinition of the relationship between CCUS and DAC technologies.

Using structural equation modelling to investigate the mediating effects of TPACK on intention to use technology

This article aims to understand, through structural equation modelling (SEM), how the knowledge of technological pedagogical and content knowledge (TPACK) mediates the intention to accept and use technology by teachers’ college lecturers. The ultimate aim is to come up with a sem-generated model which teacher training colleges can use to train lecturers in technology use. Structural equation modeling is a sophisticated multivariate statistical process that enables researchers to analyze the direct and indirect effects of variables on one another, construct theoretical concepts, test the reliability of their measurements, hypothesize and test a theory about their relationships, and account for measurement errors. A questionnaire founded on the unified theory of acceptance and use of technology (UTAUT) was employed to gather data from instructors at ten teacher-training colleges. Simple random sampling was used to select 300 valid questionnaires used in the analysis. Statistic package R was used to run SEM and the results confirmed the mediating role of TPACK in the behavior intention to accept and use technology by lecturers.

Effects of Innovative Technologies on Gender Disparity and the Future of Work

The Fourth Industrial Revolution (4IR) has prompted organizations to embrace digital transformation, demanding that employees possess ICT technical skills to boost productivity. In developing countries, a lack of ICT education exacerbates high youth unemployment, particularly among gender-disadvantaged individuals who struggle to secure jobs requiring digital literacy. This study investigates the factors contributing to the gender disparity of youth unemployment in South Africa. The study adopted the Technology Acceptance Theory to guide the study. The quantitative method was used for the data collection process using Google Forms to draft a questionnaire that was distributed to respondents online. The study results show the importance of ICT technical education to improve youth employment prospects and recommend that policymakers implement ICT skills development initiatives to mitigate youth unemployment.

Innovative interiors: an evaluation of guest perceptions and booking responses to robotic furniture in hotel rooms

PurposeThis paper examines guest perceptions and booking responses to robotic furniture in hotel rooms, addressing a gap in existing research on in-room technology in the hospitality industry.Design/methodology/approachUtilizing an extended technology acceptance model, the study examines the impact of aesthetics, functionality and symbolism on guests’ booking intentions. Data were collected through an online survey of 426 participants, employing structural equation modeling for analysis.FindingsThe results reveal that hotel guests value the potential benefits of robotic furniture more than its mere functional aspect and may be inclined to appreciate it when it translates to tangible benefits and is easy to interact with. Additionally, the aesthetics and symbolic value of the furniture play a crucial role in shaping guests’ perceptions and booking intentions.Practical implicationsThis study advises hoteliers to prioritize intuitive, user-friendly robotic furniture that offers clear benefits like convenience and comfort to boost booking intentions. Marketing should emphasize these practical advantages rather than focusing solely on innovation. Although secondary, aesthetics should still align with the room’s design. The symbolic value of robotic furniture should reflect the hotel’s brand identity, enhancing its appeal to target markets.Originality/valueThis study expands the application of the technology acceptance model in the context of hotel room design and technology adoption and provides academics and hoteliers with useful insights into integrating innovative technologies in hotel rooms.

Assessing the role of augmented reality in enhancing employee operational engagement and knowledge retention in UAE business training

Purpose This study aims to investigate the impact of augmented reality (AR) training modules on knowledge retention in corporate settings, focusing on the context of the United Arab Emirates (UAE). Drawing on the Technology Acceptance Model (TAM) and existing literature, the study examines the relationships between AR training modules, employees’ engagement, interactive learning environments and knowledge retention. Design/methodology/approach This study uses a quantitative technique by using a structured survey to collect data from participants in service sectors in the UAE. The survey gathers information on their attitudes, views and behaviors toward using AR in business training. This study used a stratified random selection to guarantee representation across several service sectors in the UAE, including hospitality, tourism, retail and finance. A SEM analysis tool was used to test the relationship that exists between the construct under investigation, that is, employees’ engagements (EE), AR training modules (ARTM), interactive learning environment (ILE), Fintech training content (FTC), the moderating role of technological aptitude (TA) on knowledge retention (KR). Findings Findings reveal a significant positive correlation between AR training modules and knowledge retention, emphasizing the potential of immersive technologies in enhancing learning outcomes. Moreover, the study underscores the importance of engaged employees, customized training materials and technological proficiency in shaping knowledge retention. Limitations and avenues for further research are also discussed. Originality/value Overall, this study contributes to understanding the factors influencing knowledge retention in corporate training contexts and provides practical insights for organizations seeking to optimize their training programs.

Perceived Ease of Use and Perceived Usefulness, Intention to Use Digital Banks and the Role of Trust as Mediating Variables

By incorporating the trust variable as a mediator in the relationship between perceived ease of use and perceived usefulness of using digital banking services on intention to use digital banking services and location—research in the special region of Yogyakarta—this study aims to analyze banking customers’ tendencies to use digital banking services using the technology acceptance model (TAM) theoretical approach. This research’s type and source of data is quantitative with primary data. Questionnaires were distributed as part of a survey procedure to collect data for this study. Using sample data from 208 respondents and the structural equation model (SEM) analysis tool, he concluded that while users’ perceptions of the usefulness and ease of use of digital banking services have no bearing on each other, their perceptions of the ease of use of these services has a significant impact on their trust in them. It has a significant impact on user trust in digital banking services, which in turn has a significant impact on users’ intention to use digital banking services; perceived ease of use of digital banking services has no significant impact on users’ intention to use digital banking services; on the other hand, perceived usefulness of digital banking services has a significant impact on users’ intention to use digital banking services; trust in digital banking services mediates the relationship between users’ intention to use digital banking services and perceived ease of use of digital banking services. Keywords: perceived ease of use, perceived usefulness, trust, intention to use, digital bank

The Intention to Use Innovative Compliance Application for Thai-Listed Companies

This study explores the intention to use innovative compliance applications among Thai-listed companies, focusing on a novel technology introduced to companies listed on the Stock Exchange of Thailand (SET). The research employs the Technology Acceptance Model (TAM) as its theoretical foundation, utilizing a quantitative approach. Data from 360 capital market law compliance officers in Thai public companies listed on the SET was analyzed using structural equation modeling. The study identifies four key factors impacting user satisfaction and intention to use the application: perceived ease of use, perceived usefulness, trust, and innovation quality. Results reveal significant relationships between innovation quality, user satisfaction, trust, and the intention to use the application. Findings demonstrate the connection between TAM variables and technology adoption in the legal sector, particularly for capital market law compliance officers. Innovation quality, user satisfaction, and trust emerge as the most influential factors, in that order, affecting the intention to use the application. This research contributes to understanding user perceptions and intentions regarding compliance software, potentially guiding future developments in regulatory technology for Thai-listed companies.

Enhancing M-Government service adoption in Saudi Arabia: the role of mobile edge computing in moderating technology acceptance

Purpose Mobile edge computing (MEC) services have long been used by private enterprises in Saudi Arabia with considerable success; however, there has been a stark lack of insight into how these services can be used to improve mobile government (M-Government) services for KSA citizens. This study aims to bridge this gap by integrating MEC with an enhanced version of the technology acceptance model (TAM) and examining its effects on user behavior and acceptance. Design/methodology/approach A closed-ended survey was administered to 1,500 people, and the responses were analyzed using sophisticated advanced statistical techniques to test an expanded TAM, using a quantitative method that uses structural equation modeling to validate the proposed model and hypotheses. Findings This study reveals that MEC significantly influences users’ intentions about using M-Government services and their tolerance for new technology adoption. Specifically, service cost and social influence are positively linked with end users’ intention to adopt M-Government services. Originality/value The novelty and contribution of this paper to existing literature are in highlighting the pivotal role of MEC in transforming public sector service delivery through technology. This study not only supports the adoption of M-Government services to enhance social welfare but also demonstrates and concludes some practical and theoretical ramifications of MEC service adoption.

Avoiding siloed approaches: Integrating psychological insights into sustainable farming.

This study enhances our understanding of the psychological factors influencing farmers' adoption of sustainable farming practices, specifically those related to achieving NetZero emissions. It achieves this by integrating various psychological theories with practical farming methods within the context of Behavioral-Adoption and Purpose-Driven contexts. The research consisted of two studies. Study 1 employed Exploratory Factor Analysis (EFA) to analyze responses from 438 UK farmers regarding their attitudes toward a series of Net Zero policy commitments, drawing on psychological theories including the Unified Theory of Acceptance and Use of Technology, the Theory of Planned Behavior, the Prototype Willingness Model, Implementation Intentions, Self-Determination Theory, Eudaimonia, and the Integrated Model of Health Literacy. The findings revealed a new Integrated Motivation Model for Sustainable Farming that comprises seven factors: Agricultural Commitment and Stewardship, Sustainable Farming Readiness and Confidence, Sustainable Incentive Engagement and Acceptance, Climate Adaptation Competence and Confidence, Net Zero Accountability and Reporting Commitment, Community Influence and Commitment in Sustainable Farming, and Innovation and Technological Competence. Study 2 validated these factors through the development of a 21-item Integrated Motivation Model for Sustainable Farming scale and use of Confirmatory Factor Analysis (CFA) to confirm the 7-factor structure using a subsample of 418 UK farmers from Study 1 and an additional 230 US farmers. Furthermore, Study 2 tested the concurrent validity of the new scale by demonstrating significant associations with reported sustainable farming behaviors. These findings underscore the complex interplay of motivational, cognitive, and social processes influencing sustainable farming practices. The integrated psychological model developed through this research provides parsimonious and valuable insights for policymakers to foster sustainable practices in farming effectively. The confirmation of this model across farming populations enhances its generalizability and potential to guide targeted interventions aimed at achieving behavioral change in pursuit of Net Zero targets in agriculture.

The Role of UTAUT2 in Understanding Technology Adoption: A Study of the Merdeka Mengajar Platform Among Indonesian Teachers

This research investigates the adoption of the Merdeka Mengajar application using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The study aims to identify the factors influencing teachers' behavioral intentions and usage behavior regarding this educational technology platform. A total of 383 teachers from various levels in Malang were sampled from a broader population of 8,936. Statistical analysis uses SEM (Structural Equation Modelling) analysis techniques. The findings suggest that performance expectancy, effort expectancy, social influence, hedonic motivation, and price value significantly influence behavioral intention. However, facilitating conditions and habit do not show a direct significant impact on use behavior. These results indicate that while technological support such as infrastructure and internet access is necessary, it alone may not be enough to motivate consistent usage without internal factors like perceived usefulness or enjoyment of the app. Moreover, the habitual use of new technology may require additional support and time before it can significantly affect behavior. This study contributes valuable insights into the adoption of educational technologies, especially in the Indonesian context, where digital learning platforms are increasingly being integrated into teaching practices. Future research may explore how ongoing support and user experience improvements can further enhance the app's adoption.

Determinants of ChatGPT adoption among students in higher education: the moderating effect of trust

Purpose ChatGPT is a cutting-edge chatbot powered by artificial intelligence that could revolutionise and advance the teaching and learning process. Drawing on the technology acceptance model (TAM) and information system (IS) success model, this study aims to investigate determinants of students’ intention to use ChatGPT for education purposes. Design/methodology/approach The partial least squares technique was used to analyse 406 usable data collected from university students in Malaysia. Findings The results confirmed the relationships between perceived usefulness (PU), perceived ease of use (PEU), attitude and intention to use proposed by TAM. PU and PEU are influenced by system quality. Surprisingly, trust in information moderates negatively the influences of PEU and PU on attitude. Practical implications The findings provide insight for higher education institutions, unit instructors and ChatGPT developers on what may promote the use of ChatGPT in higher education. Originality/value The study contributes to the literature by exploring the determinants of ChatGPT adoption, extending the TAM model by incorporating IS success factors and assessing the moderating effect of trust in information.

Pathway to Trauma-Informed Rehabilitation Counseling: Vocational Rehabilitation Counselors’ Training Experiences and Use of Trauma-Relevant Knowledge in Daily Practice

The compelling evidence regarding the prevalence and profound impacts of traumatic experiences on individuals with disabilities underscores the need to establish trauma-informed service environments within vocational rehabilitation (VR). In an initial endeavor towards cultivating trauma-informed service, this study investigates the VR counselors’ professional training experiences in the topical areas of trauma. Further, the applicability of the Technology Acceptance Model (TAM 2) is examined in elucidating the utilization of trauma knowledge by VR counselors in their practices. A needs assessment focusing on trauma training was distributed to 169 VR counselors to measure their trauma-related training history and utilization of trauma knowledge in practices. Path analysis was employed to examine the relationship between training experience and the actual use of trauma knowledge in counseling based on the TAM 2 framework. Participants reported having 9.71 hours of post-graduate training. Path analysis suggested adding three additional paths to the original research model, explaining how post-graduate training leads to the use of trauma knowledge in VR service through perceived ease of use, usefulness, attitude toward using, and behavioral intention. The profession of rehabilitation counseling needs to incorporate more trauma-related training into its practice, education, and research to better serve individuals with disabilities and improve the effectiveness of services.