Adoption Intention Research Articles

Factors influencing telehealth adoption among consumers in Malaysia

This study investigates the factors influencing the adoption of telehealth among consumers in Malaysia, aiming to understand the impact of effort expectancy, performance expectancy, computer self-efficacy, and trust on the intention to use telehealth, building on the Unified Theory of Acceptance and Use of Technology (UTAUT). A quantitative descriptive methodology was used, collecting data from 390 Malaysian consumers via an online survey. The data were analyzed using IBM SPSS software to evaluate the relationships between the variables. The analysis revealed significant positive relationships between all examined factors and the adoption of telehealth. Performance expectancy was the most influential factor, followed by trust, effort expectancy, and computer self-efficacy. The multiple regression model indicated that these variables collectively explain 82.1% of the variance in telehealth adoption intention. The findings provide valuable insights for providers and marketers, suggesting that telehealth platforms should focus on performance expectancy, trust, and ease of use. Additionally, the study emphasizes the need for supportive policies from the Malaysian government to enhance telehealth adoption. The results contribute to the literature on healthcare technology adoption, offering practical implications for improving telehealth implementation in Malaysia.

Bridging Human and Machine Intelligence: Reverse-Engineering Radiologist Intentions for Clinical Trust and Adoption

In the rapidly evolving landscape of medical imaging, the integration of artificial intelligence (AI) with clinical expertise offers unprecedented opportunities to enhance diagnostic precision and accuracy. Yet, the "black box" nature of AI models often limits their integration into clinical practice, where transparency and interpretability are important. This paper presents a novel system leveraging the Large Multimodal Model (LMM) to bridge the gap between AI predictions and the cognitive processes of radiologists. This system consists of two core modules, Temporally Grounded Intention Detection (TGID) and Region Extraction (RE). The TGID module predicts the radiologist's intentions by analyzing eye gaze fixation heatmap videos and corresponding radiology reports. Additionally, the RE module extracts regions of interest that align with these intentions, mirroring the radiologist’s diagnostic focus. This approach introduces a new task, radiologist intention detection, and is the first application of Dense Video Captioning (DVC) in the medical domain. By making AI systems more interpretable and aligned with radiologist’s cognitive processes, this proposed system aims to enhance trust, improve diagnostic accuracy, and support medical education. Additionally, it holds the potential for automated error correction, guiding junior radiologists, and fostering more effective training and feedback mechanisms. This work sets a precedent for future research in AI-driven healthcare, offering a pathway towards transparent, trustworthy, and human-centered AI systems. We evaluated this model using NLG(Natural Language Generation), time-related, and vision-based metrics, demonstrating superior performance in generating temporally grounded intentions on REFLACX and EGD-CXR datasets. This model also demonstrated strong predictive accuracy in overlap scores for medical abnormalities and effective region extraction with high IoU(Intersection over Union), especially in complex cases like cardiomegaly and edema. These results highlight the system's potential to enhance diagnostic accuracy and support continuous learning in radiology. We are also releasing the source code for our project, available here.

Factors Influencing Sustained Use of Shared E-Scooter Services in Urban Taiwan

This study investigates the factors that drive users to sustain their usage of shared electric scooter (e-scooter) services in Taiwan, distinguishing itself from the conventional focus on predicting consumers’ initial adoption and behavioural intentions. It employs subjective rating questions, incorporating constructs related to user acceptance, attitudes and user experience (UX). Through hierarchical regression analysis of quantitative survey data, the study identifies key factors such as users’ modes of transportation, environmental attitudes, acceptance of shared services, attitudes towards private scooters, UX, total usage instances and age. However, reliance on private scooters as a mode of transportation and frequent usage of shared e-scooters negatively impact the sustained usage of these services. The research further highlights early development challenges in shared vehicle services, including concerns over personal data security, user-unfriendly system designs, lack of convenience, inadequate parking infrastructure and ineffective financial incentives. Based on these findings, the study provides recommendations for service providers and government entities to enhance service design and proactively address these challenges. Implementing these recommendations is expected to mitigate the impact of these challenges and potentially improve user acceptance, UX, and the overall sustainability of shared vehicle services.

Digital Banking Adoption and Financial Inclusion in Vietnam: A Multi-Dimensional Analysis of User Perceptions and Socioeconomic Factors

This study investigates the factors influencing digital banking adoption intention and its impact on perceived financial inclusion. By integrating the Technology Acceptance Model with trust theories and digital literacy concepts, we develop a comprehensive framework to understand the complex relationships among these variables. The research employs a mixed-method approach, combining structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to analyze survey data from 587 respondents. Results from SEM reveal that perceived usefulness, perceived ease of use, institutional trust, technological trust, and social influence significantly affect digital banking adoption intention, which in turn positively influences perceived financial inclusion. Digital literacy moderates the relationships between perceived ease of use and adoption intention, as well as between technological trust and adoption intention. The fsQCA results complement these findings by identifying multiple configurations leading to high adoption intention and perceived financial inclusion, highlighting the equifinal nature of these relationships. This study contributes to the literature by providing a nuanced understanding of digital banking adoption and its link to financial inclusion, offering valuable insights for policymakers and financial institutions. The findings underscore the importance of enhancing perceived usefulness, ease of use, trust, and digital literacy to promote digital banking adoption and, consequently, financial inclusion.

How does perceived security influence mobile wallet users' behavior? A SEM investigation

PurposeThe digital disruptions have provided alternative methods of monetary transactions. Despite the digital wave, cash as a payment option has regained its position. The purpose of this research is to investigate behavioral intentions of mobile wallet (m-wallet) users. The paper explores the dynamics of perception, behavioral intention motivation and satisfaction of m-wallet users.Design/methodology/approachThe authors have used a self-administered questionnaire for data collection. A total of 506 responses were analysed using confirmatory factor analysis in conjunction with Structural Equation Modeling, ensuring the validity and reliability of the insights into the behavioral dynamics of m-wallet users.FindingsThe research highlights the direct impact of perceived security on m-wallet users' perceptions, which subsequently influence both direct and indirect behavioral intentions. Moreover, satisfaction emerged as a significant determinant directly shaping behavioral intentions.Originality/valueThis study contributes significantly to the existing literature by offering a comprehensive understanding of the factors driving m-wallet adoption and usage intentions, thereby equipping stakeholders and policymakers with the necessary tools to devise effective strategies to promote mobile payment technologies in North India. The study employs a multifaceted model that incorporates six key elements, providing a comprehensive understanding of the complex interrelationships among these variables.

Analyzing policy implications by considering adoption barriers on consumer adoption intention for electric vehicles: a comprehensive overview

Analyzing policy implications by considering adoption barriers on consumer adoption intention for electric vehicles: a comprehensive overview

Does telemedicine hold the key for reproductive health care? A quantitative examination of women's intentions toward use and accurate information disclosure.

To investigate women's perceptions of telemedicine for reproductive health care services, focusing on how perceived benefits and privacy risks influence their intentions to adopt telemedicine and their willingness to disclose personal health information. A cross-sectional survey was conducted. The study applied the privacy calculus theory to the context of telemedicine for reproductive health, using adapted, validated variables to develop the survey. Outcome variables included intentions to adopt telemedicine and willingness to disclose accurate personal health information. Data were collected in May and June 2023 using Qualtrics online panel services, targeting women across the United States who had not used telemedicine for reproductive health. The sample comprised 847 women aged 18 and older. Structural equation modeling was employed using AMOS v28.0 to test the hypothesized relationships between perceived benefits, perceived risks, and adoption intentions. The analysis controlled for age, household income, political affiliation, religious views, and prior births. Perceived benefits were positively related to intention to adopt telemedicine for reproductive care (β: 0.600, p < 0.001), and willingness to disclose accurate personal health information (β: 0.453, p < 0.001). Unexpectedly, perceived privacy risks were positively related to adoption intentions (β: 0.128, p < 0.001), but negatively related to willingness to disclose (β: -0.282, p < 0.001). Intentions to adopt were positively associated with willingness to disclose (β: 0.089, p < 0.05). Lastly, older women and women located in states with abortion restrictions expressed lower intentions to adopt. The model explained 40.2% of variance in intention to adopt and 38.3% of variance in willingness to disclose. The study demonstrates the importance of perceived benefits and privacy risks in driving telemedicine adoption and disclosure intentions among women in the reproductive health context. These findings suggest the need for targeted strategies to address privacy concerns and support telemedicine adoption, particularly in restrictive regulatory environments.

Determinants of Online Dating Application Among Millennials

Online dating has become increasingly popular in recent years, these platforms provide a convenient and accessible way to meet new people. Studies on the use of dating applications among men and women highlight how these technologies shape communication practices and social relationships. For this study, the Unified Theory of Acceptance and Use of Technology (UTAUT) was applied to discover the determinants of online dating apps’ adoption intention. Possible determinants that might affect the intention to adopt online dating apps are sought and critically reviewed. The variables proposed in this research include performance expectancy, effort expectancy, social influence, facilitating conditions, and an additional variable – trust. Five hypotheses were constructed, questionnaires were distributed and responses were collected to determine the adoption intention of young millennials in Malaysia. The test results indicated that trust, performance expectancy and social influence influenced the adoption intention of online dating applications. Based on the results, for performance expectancy, it was revealed that users expressed concerns about the utility of dating applications in facilitating beneficial functions, such as broadening social networks, enhancing dating opportunities, and meeting dating needs. For social influence, it revealed that individuals, especially peers, who hold significance in their lives, influence their decision to engage with online dating apps. These influential individuals impact the users' intentions by communicating the benefits of online dating apps and recommending their use. As trust improves, millennials are less reluctant to adopt online dating apps, contributing to an increase in the user base for such applications

A Conceptual Framework of Navigating Digital Banking: How Gender Impacts Adoption Intentions in Klang Valley

Malaysian banking users have encountered negative experiences while adopting traditional bank services. Several customers and businesses face limited access to traditional banking products and services due to factors such as low or irregular income, bad credit, or a lack of conveniently located banks. The acceptability of digital banking products and services in Malaysia is currently unknown and inadequate due to the general lack of familiarity among Malaysians with the notion of digital banking. Conventional methods of analyzing consumer behavior, which primarily consider historical data and current resources, will not result in the achievement of branchless banking in the future. This paper presents a framework that examines how various factors such as performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, price value, and habit may influence behavioral intention. Additionally, the framework considers gender as a moderator variable. The results of this study are anticipated to expand the existing body of knowledge on behavioral intention and bring advantages to marketers and digital banking providers.

Mapping the critical factors of emerging technologies adoption intention in foodservice industry: a modified total interpretive structural modeling approach

ABSTRACT The advancement in technology is transforming the competitive ecosystem of the foodservice industry, thus enabling firms to enhance their intention to adopt emerging technologies. This transformation enables foodservice industry-based firms to focus on innovation and emerging technologies adoption within a rapidly changing business landscape. This study explores the critical factors of emerging technologies adoption intention in the foodservice industry and employs “modified total interpretive structural modeling” and “matrices impacts cruises multiplication applique classement” analysis to create a hierarchical model that establishes the relationship among identified factors impacting emerging technologies adoption intention. A five-level hierarchical model is developed. Findings of this study indicate that organizational characteristics and competitive pressure experienced by the foodservice industry are the driving factors that impact emerging technologies adoption intention. This paper helps to understand the dynamics between identified factors of technology adoption in the context of the foodservice industry using frameworks (“unified theory of acceptance and use of technology” and “technology acceptance model”). The proposed hierarchical model provides a structural framework that helps practitioners and researchers to understand the interrelation among critical factors of emerging technologies adoption intention in the rapidly evolving dynamic ecosystem of the foodservice industry.

Predicting user behavior on s-commerce platforms: a novel model

PurposeThis study investigates the influence of the wisdom of the crowd (WSC), trust and perceived value on consumer purchase intentions within social commerce (s-commerce) platforms. By constructing a novel theoretical model, the research aims to delineate the interrelationships among these variables, addressing an emerging area in social interactions and information technology.Design/methodology/approachTo empirically test and validate the proposed model, the study collected data from 442 Facebook users familiar with online shopping. The analysis employed Structural Equation Modeling – Partial Least Squares (SEM-PLS) to test the hypotheses and examine the relationships between WSC, trust, perceived value and purchase intentions.FindingsThe findings confirm that WSC significantly influences trust, perceived value and the intention to purchase on s-commerce platforms. Both perceived value and trust are substantial determinants of purchase intentions. Notably, the PLS analysis revealed that WSC accounts for 36.8% of the variance in trust and 33.1% of the variance in perceived value related to purchasing decisions on s-commerce platforms.Originality/valueThis research contributes uniquely to the ongoing discourse on s-commerce adoption by integrating WSC as a pivotal factor in understanding perceived value and consumer adoption intentions. It provides a fresh perspective on how collective intelligence affects consumer behavior in digital marketplaces, enriching the theoretical and practical understanding of s-commerce dynamics.

Promoting Sustainable Transportation: Factors Influencing Battery Electric Vehicle Adoption Across Age Groups in Thailand

Battery Electric Vehicles (BEVs) are a crucial innovation for achieving sustainable transportation and reducing greenhouse gas emissions, which are major contributors to global warming and climate change. While previous studies have explored attitudes towards BEV technology acceptance, few have examined the interplay of external factors such as government measures and adoption barriers in promoting sustainable mobility. This study addresses this gap by investigating the roles of government policies, usage obstacles and innovation diffusion in stimulating BEV purchase intentions, while applying the Innovative Diffusion Theory (IDT). Data from 3632 respondents in Thailand were analyzed using structural equation modeling (SEM) to examine causal relationships between factors. The results indicate that government policies supporting BEV users enhance innovation diffusion in society, leading to increased adoption intentions. Furthermore, effective policies help mitigate barriers to BEV usage, further encouraging adoption. The study also reveals that causal relationships of BEV usage intentions vary across age groups, highlighting the need for targeted approaches in promoting sustainable transportation. These findings contribute to the development of evidence-based policy recommendations to accelerate BEV adoption, supporting Thailand’s Carbon Neutrality goals and broader sustainable development objectives. By elucidating the complex dynamics of BEV adoption, this research provides valuable insights for policymakers and stakeholders working towards a more sustainable and environmentally friendly transportation sector.

Empowering Maternal Choice: Exploring Factors Influencing Early Postpartum Contraceptive Adoption Intention Among Pregnant Women in Northeast Ethiopia

Background: Despite progress in access to family planning services in many sub-Saharan African countries in recent decades, advances in early postpartum contraceptive adoption remain low, and the unmet need for early postpartum contraceptives is high. According to the Ethiopia Demographic and Health Survey report, early postpartum modern contraceptive method uptake is still unacceptably low in Ethiopia. Objectives: This study aimed to determine the magnitude of intention to adopt early postpartum modern contraceptive methods and its associated factors among pregnant women in Dessie and Kombolcha town zones, northeast Ethiopia. Methods: A community-based cross-sectional study was deployed from 15 January–15 February 2023, in the Dessie and Kombolcha zones, northeast Ethiopia, among pregnant women. The study involved 780 pregnant women using the cluster sampling technique. A census was conducted in 20 randomly selected clusters to identify eligible pregnant women. Actual data were collected home-to-home in the community through face-to-face interviews. Data were collected by Open Data Kit (ODK) and exported to STATA 17 for analysis. A multivariable logistic regression analysis was performed, and the goodness of the model was checked by Hosmer–Lemeshow’s test statistic and rock curve. An adjusted odds ratio with a 95% confidence interval and p-value &lt; 0.05 was considered statistically significant. Result: The study revealed that 49.6% of pregnant women lack autonomy and 50% lack knowledge about early postpartum contraception, with participants’ wealth index status ranging from rich (36.6%) to poor (33.2%). The study found that 75.8% of pregnant women intended to adopt early postpartum modern contraceptive methods early after childbirth. After controlling the potential confounders, mother’s age (AOR = 6.2 [2.6–14.6], birth interval (AOR = 2.5 [1.6–3.7]), have paid work (AOR = 1.9 [1.3–2.8]), health facility from home (AOR = 2.6 [1.5–4.4]), last delivery Place (AOR = 2.4 [1.1–5.7]), knowledge on (AOR = 1.5 [1.1–2.1]), and antenatal care follow-up (AOR = 1.9 [1.2–3.3]) were significant associated factors of intention to uptake early postpartum modern contraceptive methods among pregnant women. Conclusions: The study found that 75% of the participants had the intention to adopt contraceptive methods during the early postpartum period. Identified factors influencing this intention were age, birth interval, women’s employment status, area of residence, distance to health facilities, last delivery place, knowledge of early postpartum modern contraception, gravidity, and antenatal care follow-up. These findings highlight the need for targeted interventions to address these factors, framing the intended users and enabling access to early adoption of postpartum contraceptive methods.

Perceived Benefits And Perceived Behavioral Control Toward Fintech Adoption Intention In Banking Products

This study aims to verify the relationship between perceived benefits and perceived behavioral control on fintech adoption intention on banking products and services in Indonesia. This quantitative study uses the technology acceptance model (TAM) approach and the theory of planned behavior (TPB). The sampling technique uses purposive sampling, with a sample size of 545 respondents. The data source used is primary data. Data were collected by distributing questionnaires built using Google Forms and distributed through social media. The data analysis technique uses a structural equation model based on partial least squares (SEM-PLS) with the help of SmartPLS software. The study's results prove that perceived benefits and perceived behavioral control positively affect fintech adoption intention. This study can theoretically prove that the TAM and TPB theories can be applied together and explain the relationship between research variables. Practically, the TAM and TPB theories can be used together as a policy-making model for implementing fintech innovation in banking.

Blockchain adoption factors in agricultural supply chains: A PLS-SEM study

The purpose of this study is to explore factors influencing the blockchain adoption in agricultural supply chains, to make a particular focus on how security and privacy considerations, policy support, and management support impact the blockchain adoption intention. it further investigates perceived usefulness as a mediating variable that potentially amplifies the effects of these factors on blockchain adoption intention, and sets perceived cost as a moderating variable to test its influence on the strength and direction of the relationship between perceived usefulness and adoption intention. through embedding the cost-benefit theory into the integrated tam-toe framework and utilizing the partial least squares structural equation modeling (PLS-SEM) method, this study identifies the pivotal factors that drive or impede blockchain adoption in the agricultural supply chains, which fills the gap of the relatively insufficient research on the blockchain adoption in agriculture field. the results further provide empirical evidence and strategic insights that can guide practical implementations, to equip stakeholders or practitioners with the necessary knowledge to navigate the complexities of integrating cutting-edge technologies into traditional agricultural operations, thereby promoting more efficient, transparent, and resilient agricultural supply chains.

Factors Influencing Consumer Adoption of Mobile Payment Systems in Jambi, Indonesia: A Technology Acceptance Model Approach

Mobile payment systems (MPS) are rapidly transforming financial transactions in Indonesia, including in Jambi Province. However, the adoption rate varies significantly. This study investigates the factors influencing consumer adoption of MPS in Jambi, Indonesia, using the Technology Acceptance Model (TAM) as a theoretical framework. A quantitative approach was employed, involving a survey of 300 consumers in Jambi Province. Data were analyzed using Structural Equation Modeling (SEM) to examine the relationships between perceived usefulness, perceived ease of use, social influence, trust, perceived risk, and the intention to use MPS. The findings revealed that perceived usefulness, perceived ease of use, social influence, and trust positively influence the intention to use MPS. Conversely, perceived risk negatively affects adoption intention. This study provides valuable insights for policymakers, financial institutions, and mobile payment providers to promote MPS adoption in Jambi. Strategies should focus on enhancing the perceived usefulness and ease of use of MPS, building trust, leveraging social influence, and mitigating perceived risks.

Exploring consumers’ innovative products adoption process: based on technology readiness and value-based adoption

ABSTRACT This study seeks to empirically verify whether technology readiness composed of facilitating factor and inhibiting factor, affects consumer’s decision on innovation adoption. In addition, in an attempt to explore the mediation mechanism, the study sought to confirm whether technology readiness impacts consumers’ adoption decision through the dual paths, employing double sided perceptions with regards to perceived benefits and perceived sacrifices of the innovation. Finally, the study examines the moderating effect of psychological distance on the relationships between perceived benefits (and sacrifices) and adoption intention. Result of the study revealed that innovativeness affects the intention to adopt innovative products. Perceived benefits (and sacrifices) mediated the relationship between technology readiness and the intention to adopt innovative products. Finally, the study confirmed that the psychological distance moderates the relationship between perceived benefits (and sacrifices) and the intention to adopt innovative products.

Consumer reactions to circular packaging: The impact of disgust, guilt, and value on adoption intentions

Consumer reactions to circular packaging: The impact of disgust, guilt, and value on adoption intentions

Chatbots adoption intention in public sector in Malaysia from the perspective of TOE framework. The moderated and mediation model

Purpose This paper aims to investigate the motivating factors for Malaysian governmental agencies (MGAs) to embrace chatbot technology. Design/methodology/approach Based on the technology-organisation-environment (TOE) framework, using purposive and snowball sampling techniques, 262 online data from the MGA top management were gathered. Smart PLS4 was employed to test the hypotheses of the study. Findings The findings demonstrated positive relationships between technological readiness (TR), big data analytics (BDA), organisational readiness (OR), organisational learning capabilities (OLC) and governmental policies (GP) concerning chatbot adoption intention and also the relationship GP with OR. A mediating effect was also observed, which indicated the OLC role in positively mediating BDA, the OR role in positively mediating OLC and the OR role in positively mediating GP with OR and OLC as sequential mediators in the relationship between BDA and chatbot adoption intention. Furthermore, the presence of citizen demand (CD) strengthened the relationship between TR, OR and chatbot adoption intention. Research limitations/implications This study was limited to Malaysian federal government agencies who still not adopting Chatbots. Practical implications The findings offer valuable insight into factors affect the adoption of chatbots among Malaysian government agencies. Stakeholders, including department heads, can use these findings to strategically enhance counter service by promoting chatbot adoption. Originality/value The study demonstrated that the TOE framework was effective in identifying the factors contributing to the decision-making process for adopting chatbots across MGAs. Organisational readiness and organisation learning capability was found to sequentially mediate the relationship between big data analytic and intention to adopt chatbot. Citizen demand was found to have moderation effect on the relationship between organisational readiness and technological readiness towards the intention to adopt a chatbot.

Drivers of digital currency adoption and their configurational impact assessment in tourism and hospitality: loss aversion under prospect theory

ABSTRACT With accelerated digitalisation in all business sectors, digital currencies (DC) are increasingly popular. This study aimed to identify the effects of central bank digital currency (CBDC) innovation characteristics and perceived risks on CBDC adoption intention in the tourism and hospitality field. This study devised a research model incorporating research hypotheses addressing CBDC customers’ perceptions of CBDC's innovative technology and risks. To test the hypotheses, data were obtained from the USA, Korea, and China. CBDC's innovation characteristics and perceived risks affected the adoption of CBDC for transactions during travel. The results have academic and practical value because they aid understanding of customers’ reactions to the new transaction system and establish proactive marketing strategies such as promotional message development to reduce perceived risks in lieu of strengthening innovative characteristics.