Adoption Intention Research Articles

Determinants of Circular Economy Behavioural Intentions Among Malaysian Youth: Investigating The Roles of Structural, Socio-Psychological, and Communication Factors in the Digital Marketplace

This study explores the influence of structural, socio-psychological, and communication factors on circular economy behavioural intentions among young adults in Malaysia. Employing a cross-sectional quantitative survey methodology, data were collected from 220 respondents aged 18-40. The findings reveal weak positive correlations between the examined factors and circular economy adoption intentions. Structural factors, which encompass cultural and relational aspects of social structure; socio-psychological factors, including attitudes, subjective norms, and perceived control; and communication factors, such as bi-directional communication and opinion seeking, all play a role in shaping young adults' intentions to engage in circular economy practices. However, the weak correlations indicate that a comprehensive approach targeting multiple factors may be necessary to effectively promote circular economy adoption. The study highlights the need for future research to explore the interplay between these factors and investigate potential moderators and mediators that may strengthen the relationship between the studied variables and circular economy behavioural intentions. The findings contribute to the understanding of the drivers behind circular economy behavioural intentions and provide valuable insights for policymakers and organisations aiming to foster sustainable practices among young adults in the digital marketplace. The study underscores the importance of adopting a holistic approach that addresses structural, socio-psychological, and communication factors to create an enabling environment for circular economy engagement. Keywords: Circular economy, communication, youth, Malaysia, digital marketplace.

Achieving behavioral intention to renewable energy through perceived costs and benefits and environmental concern

Due to the high pollution caused by the consumption of energy from fossil fuels, governments have implemented policies that allow the transition to renewable sources, but this depends on many factors associated with the costs and attitudes of the population. This study examines the influence of perceived costs, benefits, and environmental concerns on the behavioral intentions toward renewable energy (RE) adoption in Ciudad Juarez, Mexico. A structural equation model is used to validate five hypotheses and information from 511 responses to a survey to explore how perceived costs (PCO) as an independent variable, perceived benefits (PBE), and environmental concerns (ECO) as mediators support intentions to adopt solar energy technologies. Findings reveal that PCO impacts PBE and ECO directly and influences behavioral intentions (BIN) indirectly. This underscores the importance of analyzing PCO in the context of developing countries due to the low per capita income. The study identifies ECO as the most significant factor affecting BIN and PBE as the primary influencer of ECO, suggesting that promoting the benefits of RE could enhance environmental concerns and, consequently, adoption intentions. Sensitivity analysis indicates the necessity of effectively disseminating cost-related information, as costs often overshadow perceived benefits. The findings advocate for clear communication regarding RE costs and benefits and the formulation of supportive policies to facilitate RE adoption in Mexico, highlighting the crucial role of comprehensive awareness strategies in improving public perception and acceptance of RE technologies, providing valuable insights for policymakers, stakeholders, and educators to promote sustainable energy practices.

Internet of things platforms adoption in agriculture: comparative theoretical models

PurposeThe purpose of this study is to determine the farmers’ behavioural intention (BI) to adopt Internet of things platforms (IoT-P) in the agriculture context by comparing two well-known theories: the united theory of acceptance and use of technology (UTAUT), and the decomposed theory of planned behaviour (DTPB) with the integration of innovation resistance theory (IRT).Design/methodology/approachPurposive sampling was used to get responses from 267 potential farmers to examine their IoT-P adoption intention in Pakistan. The PLS-SEM, PLS model evaluation criterion and PLS model selection criterion were considered to determine the significance of path co-efficient, explanatory power, predictive power and more parsimonious model.FindingsThe findings demonstrate that DTPB is the best model with the extension of functional barriers (FBs) and psychological barriers (PBs). It has more predictive relevance and explanatory power. The results show that farmers’ attitude (ATT), based on the evaluation of three attributes (i.e. perceived usefulness (PU), perceived ease of use (PEOU) and compatibility (COMP)), is the strong predictor of farmers’ BI to adopt IoT-P. In addition, self-efficacy (SEF) and facilitating conditions (FC) peer influence (PI) and superiors’ influence (SPI) are required for adoption of IoT-P devices. Finally, FB and PB significantly and negatively influence the farmers’ BI to adopt IoT-P.Originality/valueThis research is the first to consider the two technology adoption models with the integration of IRT for explaining farmers’ BI in the context of agriculture.

Continuous adoption of online healthcare platforms: an extension to the expectation confirmation model and network externalities

BackgroundOnline healthcare platforms (OHPs) promote the accessibility of health services while integrating online and offline service delivery. Continuous adoption of these platforms can reduce the information asymmetry between patients and healthcare providers. However, existing study has rarely focused on how the network externalities of these platforms influence patients’ continuous adoption. Expectation Confirmation Model (ECM) explains the continuous behavior after initial adoption and reveal the factors influencing satisfaction and continuous adoption intention. Few studies have integrated network externalities with the ECM to understand patients’ continuous adoption of OHPs.ObjectiveThis study aims to explore what factors affect the continuous adoption of OHPs based on an extension to the ECM and network externalities. We propose a comprehensive model for the continuous adoption of OHPs by patients with chronic diseases. We extend the conceptual framework by incorporating constructs related to perceived value, habits, and switching costs.MethodsThis study utilized a web-based survey to collect data from participants in China. We selected a sample of individuals who had experience with OHPs using a random sampling method. This method ensured that participants was randomly chosen from a pool of patients without any regional bias. A total of 568 questionnaires were collected and 518 valid questionnaires were obtained. Structural equation modeling was applied to assess the relationships among the constructs. Hierarchical regression analysis was utilized to examine the moderating effects, while the mediating effects were investigated using the bootstrapping approach.ResultsDirect network externality had significant positive impacts on the confirmation (β = 0.232, p < 0.001) and perceived value (β = 0.167, p < 0.010). Cross network externality had significant positive impacts on confirmation (β = 0.307, p < 0.001) and perceived value (β = 0.120, p < 0.05). Indirect network externality had significant positive impacts on confirmation (β = 0.169, p < 0.010) and perceived value (β = 0.270, p < 0.001). Confirmation had a significant positive impact on perceived value (β = 0.205, p < 0.001) and satisfaction (β = 0.508, p < 0.001). In addition, satisfaction had a significant positive impact on continuous adoption intention (β = 0.579, p < 0.001). Continuous adoption intention had a significant positive impact on continuous adoption behavior (β = 0.547, p < 0.001). Confirmation and perceived value significantly mediate the relationship between network externalities and satisfaction. Moreover, both confirmation and perceived value enhance continuous adoption intention by positively influencing satisfaction, which serves as a mediator. Additionally, confirmation directly influences satisfaction through the mediating role of perceived value. Habits and switching costs positively moderate the relationship between continuous adoption intention and behavior.ConclusionsThis study contributes by expanding the incorporation of network externalities into the ECM. Results enrich the existing literature on the continuous adoption of professional online platforms.

Adoption of NFT transaction in metaverse platform: a trust transfer approach to leverage trust among users

Purpose Recent growth of metaverse adoption has impacted the adoption of nonfungible tokens (NFTs) which is becoming increasingly attractive. Recently, researchers have explored the adoption of NFTs in metaverse platform. However, considering the risk involved in the transaction, the need for trust on NFT transaction arises. Drawing on trust transfer theory, this study aims to fill this gap by investigating the trust transfer process from trust on metaverse platform and online payment. Moreover, the moderating effect of perceived effectiveness of dispute resolution (PEDR) between trust and adoption of NFT transaction in metaverse platform is explored. Design/methodology/approach This study adopts an empirical approach using a questionnaire survey in India based on simple random sampling technique and is analyzed using structural equation modeling through the Smart PLS software. Findings The findings reveal that users with a higher trust disposition will trust the metaverse platforms, online payments and NFT transactions in the metaverse. Also, the study reveals that trust transfers from the metaverse platform and online payments toward NFT transactions in the metaverse, which further leads to the adoption intent of NFT. The study provides information for platforms on how the trust transfer process occurs and how to manage conflict resolution to attract the trust of users to use NFTs in their transaction. Research limitations/implications The study makes a valuable contribution by identifying the significant impact of trust disposition and social influence in explaining user trust in NFT transactions within the metaverse. Also, the study explores how established trust in conventional online payment mechanisms translates and contributes to trust-building on NFTs and transactional contexts within virtual worlds. Practical implications This study implies that ensuring robust security measures for NFT transactions, such as two-factor authentication, blockchain verification and secure wallets, can reassure users with different levels of trust disposition. Social implications Metaverse platforms should focus on educating users about how trust operates within their environment by providing tutorials, FAQs and support channels to help users navigate the process confidently. Highlighting security measures, user rights and privacy protections can enhance trust toward NFT payment. Originality/value To the best of the authors’ knowledge, this study contributes to research as it is the first of its kind study to explore the factors affecting adoption intent of NFTs transaction in metaverse platform using trust transfer theory. Thereby, developing substantial theoretical and practical contributions by considering an emerging technology.

A Bedside Electronic Whiteboard System for Patient Care in Isolation Rooms: A Scenario-Based Preliminary Study.

To assess a commercially available electronic whiteboard's usability and acceptability in isolation rooms, focusing on improving nurse-patient communication and supporting data input. A cross-sectional study with quantitative and qualitative mixed methods. We evaluated the usability and acceptability of electronic whiteboards among nurses using scenarios in a virtual isolation room environment. Nurses recognised the electronic whiteboard as a valuable tool for communication and error reductions in record-keeping but noted a learning curve for less tech-savvy users. Positive correlations were found between perceived usefulness, ease of use and adoption intent. Despite challenges, electronic whiteboards show promise for enhancing patient care, requiring comprehensive training and management systems. Time allocation in patient wards and nurse-patient interactions are crucial considerations. Electronic whiteboards have usability and acceptability as a tool to improve nurse-patient communication. However, considering technical issues and staff resistance, a management system and user training are necessary. Nurses perceive electronic whiteboards as user-friendly and as facilitating data input. TREND (Nonrandomised evaluations of behavioural and public health interventions). No patient or public contribution.

Factors Influencing the Participation in Defined Contribution Pension Scheme by Urban women in the informal Sector in Ghana

The study set out to investigate reasons for the low interest in participating in Defined Contribution Pension Schemes (DCPS) by urban women in the informal sector in Ghana (UWISG) in order to unravel the causes of the phenomenon of non-participation so that solutions can be identified. Most studies conducted on voluntary participation in pension schemes have not explored the such variables; perceived net pension wealth, permanent income, attitude, subjective norm, and perceived behavioural control. The main research questions among others are; what are the effects of demographic characteristics of urban women in the informal sector in Ghana (UWISG) on their intention to participate in Defined Contribution Pension Schemes (DCPS)? What is the impact of perceived net pension wealth (perceived benefits) on the intention of UWISG to participate in DCPS? The Methodology of the study is quantitative research design. The study has two research models a logistic regression model of demographic variables and model is a framework consisting of exogenous and endogenous latent variables. Some significant findings of the study are (i) an inverse relationship between disposition to save and intention to participate in DCPS. The inverse relationship implied that most of the respondents would prefer to probably put money in their savings or investment accounts rather than contributing to DCPS. The study also found the age variable to be an insignificant influencer of DCPS adoption intention.

Digital transformation of banking: Assessing mobile banking adoption in Nepal

The purpose of study was to investigate the influence of perceived usefulness, perceived security, and perceived cost on behavioral intention to adopt mobile banking, which reflects the evidences from among the users of digital mobile banking services in Kathmandu, Nepal. The study fills a gap in the literature by examining the influencing factors for mobile banking adoption. This study adopted descriptive and casual correlational research design to test the hypotheses. The survey employed cross-sectional data using convenience-sampling technique, disseminated 607-structured questionnaire among the target respondents of Kathmandu municipality, Nepal, and received only 400 (65.89 percent) useful questionnaires. This study assessed the internal consistency with the value of Cronbach’s alpha where the value of Cronbach’s alpha for all constructs remained &gt; 0.70 depicting the reliability for the analysis. Further, this study adopted descriptive statistics: frequency and percentage for the result of general information of respondents and correlation and regression analysis for testing association and impact in the study. The findings of the study showed that perceived usefulness and perceived security found positive association with behavioral intention to adopt mobile banking services, in Kathmandu, Nepal. Further, perceived cost found negative impact on behavioral intention for adoption of mobile banking services indicating inverse link between cost and mobile banking adoption. Thus, banking professionals may use this model to develop safe, practical, and easy-to-use mobile banking services to win trust of users and to boost mobile banking services. Similarly, the findings of the study extends benchmark to academics, policymakers, and others.

Determinants of Solar Photovoltaic Adoption Intention among Households: A Meta-Analysis

Determinants of Solar Photovoltaic Adoption Intention among Households: A Meta-Analysis

Exploring factors influencing the adoption of smart elderly care products: An enhanced UTAUT model analysis of smart wearables

This study investigates factors influencing elderly adoption of smart wearables. Using a modified Unified Theory of Acceptance and Use of Technology (UTAUT), it surveyed 395 elders. Structural equation modeling (SEM) analysis reveals positive impacts of facilitation, performance, and social influence on adoption, while cost and risk hinder it. Adoption intention mediates usage. The study emphasizes usability, functionality, social acceptance, and affordability in designing and marketing smart wearables for the elderly, aiming for broader acceptance and usage.

Cooperative performance and lead firm support in cleaner production adoption: SEM-fsQCA analysis of precision agriculture acceptance in Vietnam

To drive sustainable agricultural development, farmers in developing countries must prioritize adoption of precision agriculture (PA) as a cleaner production practice. This study investigates factors influencing smallholder rice farmers' behavioral intention (BI) to adopt such technology in Vietnam. Data from 568 farmers was analyzed using Structural Equation Modeling (SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). This study makes a significant contribution to extending the Unified Theory of Acceptance and Use of Technology (UTAUT) by demonstrating the substantial positive influence of lead firm support on the intention to adopt PA technology. Also, a key novelty of this research is its exploration of the moderating role of cooperatives’ performance in enhancing the effects of external support factors, such as government and lead firms. Additionally, the fsQCA indicates that the combination of strong external support from the government, lead firms, and cooperatives can foster high adoption intentions even under challenging internal facilitating conditions. The findings may be generalized beyond Vietnam to other developing countries to offer insights for policymakers, cooperatives, and lead firms to improve agricultural efficiency and productivity.

Determinants of Digital-Only Banking Adoption and Continuance Intentions in the Philippines

Determinants of Digital-Only Banking Adoption and Continuance Intentions in the Philippines

Sustainable Digital Transformation: Its Impact on Perceived Value and Adoption Intention of Industry 4.0 in Moderating Effects of Uncertainty Avoidance

Background Industry 4.0 is a significant technical revolution that combines big data analytics, the Internet of Things (IoT), and cyber-physical systems to improve manufacturing productivity. This study investigates the impact of digital trust and sustainable attitude on perceived value and the intention to adopt Industry 4.0 technologies. It also examines the moderating role of uncertainty avoidance in these relationships. Methods Data were collected from 189 employees of leading manufacturing companies in Indonesia that are recognized for their Industry 4.0 practices. The data were analyzed using Partial Least Squares (PLS) methodology with SmartPLS software to test the proposed hypotheses and explore the moderating effects. Results The findings reveal that both digital trust and sustainable attitude significantly influence perceived value. However, these factors do not directly affect the intention to adopt Industry 4.0 technologies. Uncertainty avoidance moderates the relationship between digital trust and adoption intention. Specifically, in environments with high uncertainty avoidance, digital trust becomes a critical factor influencing the decision to adopt Industry 4.0 technologies. Conclusions The study provides valuable insights for organizations aiming to implement Industry 4.0 initiatives. It highlights the importance of fostering digital trust and considering cultural dimensions, such as uncertainty avoidance, in their technology adoption strategies.

Investigating the factors affecting the intention to adopt smart electricity meters in Indian households

Smart electric meters play a pivotal role in making energy systems decarbonized and automating the energy system. Smart electric meters denote huge business opportunities for both public and private companies. Utility players can manage the electricity demand more efficiently whereas customers can monitor and control the electricity bill through the adoption of smart electric meters. The study examines the factors affecting the adoption intention of smart electric meters in Indian households. This study draws a roadmap that how utility providers and customers can improve the smart electric meters adoption. The study has five independent variables (performance expectancy, effort expectancy, social influence, environmentalism, and hedonic motivation) and one dependent variable (adoption intention). The sample size for the study is four hundred and sixty-two respondents from Delhi and the National Capital Region (NCR). The data was analysed using structural equation modelling (SEM). The results of this study have confirmed that performance expectancy, environmentalism, and social influence have a significant impact on the intention of adopting smart electric meters. Therefore, utility providers can improve their strategies to attract more customers to adopt smart electric meters by focusing more on the performance of smart electric meters and by making them environmentally friendly. This research offers meaningful insights to both customers and utility providers to make energy systems decarbonized and control energy consumption.

Using an extended technology acceptance model to understand the behavioral adoption intention of mobile commerce among Chinese consumers

The ubiquitous nature of mobile handsets is enhancing consumers’ shopping experience and thus encouraging extensive m-commerce adoption. The personality traits of the users of m-commerce vary and thus understanding the perspective of people to utilize mobile commerce systems is vital. This study thus examined the factors that drive Chinese consumers to adopt m-commerce. The Technology Acceptance Model (TAM) was utilized as the theoretical foundation while the analysis was completed with AMOS using structural equation model techniques. The results have demonstrated that perceived usefulness and perceived ease of use influence m-commerce adoption intentions. Also, service quality along with security, and privacy, were found to significantly drive mobile commerce adoption intentions. Perceived risk showed a significant but negative impact on adoption intentions of m-commerce. Familiarity showed a significant positive three-dimensional impact on PU, PEOU, and m-commerce adoption intentions. The theoretical and managerial repercussions of these results on m-commerce development and diffusion are discussed.

Exploring factors affecting E-Commerce Adoption of SMEs in Sri Lanka

This paper seeks to investigate the factors that impact the adoption of E-commerce by small and medium-sized enterprises (SMEs) in Sri Lanka. Explores the impact of various determinants, including performance expectancy, effort expectancy, social influence, facilitating conditions, perceived risk, and adoption intention on the adoption of e-commerce in Sri Lankan SMEs. The study is based on SMEs in the country. The study encompasses Small and Medium Enterprises (SMEs) from four provinces across the country, spanning ten different industries. A sample of 252 Small and Medium Enterprises (SMEs) across 10 industrial sectors in 4 regions was selected using a simple random sampling technique.The results indicated that Performance Expectancy, Effort Expectancy, Facilitating Conditions, and Perceived Risk as major influences on the adoption of e-commerce significantly influenced the adoption of e-commerce by SMEs in Sri Lanka. However, it was observed that comparatively reduced influence of Social Influence on E-commerce adoption among SMEs.

Intention to adopt autonomous vehicles in China: a comparative study among residents in different-sized cities

ABSTRACT Transitioning to a fully Level-5 autonomous vehicle (AV) environment presents numerous challenges, notably influenced by public adoption intention. Previous studies have shown limitations in scope, population, and methodology. This study expands the Technology Acceptance Model to investigate AVs adoption intention across various city sizes in China. Through surveys in China, 2,662 responses were gathered in 2021 from mega, large, and small-to-medium cities. Using Multiple Indicators and Multiple Causes models, the study examines influencing factors on AVs adoption intention and population heterogeneities. Key findings emphasize the importance of adoption attitude, information provision, and perceived AV usefulness. Additionally, the impact of financial incentives, convenience, and several other factors varies across city sizes. The insights gained from the study can be utilized to develop more cost-effective policies and strategies tailored to different subgroups of the population to fully utilize the potential benefits of AVs while minimizing unintended consequences across diverse urban settings.

Examining the dynamics of mobile banking app. Adoption during the COVID-19 pandemic: A digital shift in the crisis

Mobile banking applications (apps) have become crucial in maintaining financial services accessibility during the COVID-19 pandemic. This study leverages the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine Malaysian millennials' behavioral intentions toward mobile banking app adoption, aiming to aid banks in developing targeted strategies to expand their user base. Data collection was conducted from October 2020 to February 2021 during the peak of the COVID-19 pandemic. A survey was administered to 270 respondents using convenience and snowball sampling methods. The Sequential Least Square method was used for the analysis. Our findings reveal that performance expectancy, effort expectancy, trust, and personal innovativeness significantly influence mobile banking app adoption intentions, whereas social influence and facilitating conditions do not. Demographic factors also modulate these relationships to varying degrees. These insights contribute to theoretical discussions on technology adoption and offer practical guidance for banks looking to enhance their digital service offerings in a post-pandemic landscape. This study underscores the shifts in consumer behavior triggered by the pandemic and highlights the ongoing potential for digital banking growth in Malaysia.

Effects of managers' environmental consciousness and digital expertise on their technology adoption intentions

Environmental consciousness and digital competence are sought-after characteristics of managers by many organisations today. The digital expertise of organisations is considered a critical capability that drives their digitalisation strategies. Also, values and beliefs towards environmental sustainability influence their attitudes towards achieving environmental performance. By integrating the three 'big' adoption theories of DoI, TAM and UTAUT, along with decision-making literature, this study empirically investigates the effects of the digital expertise and environmental consciousness of managers on their intention to adopt Industry 4.0 technologies. We used an online survey with 172 managers from Australian firms using the PLS-SEM method for data analysis. The results show that managers’ environmental consciousness and digital expertise significantly and positively affect their intention to adopt Industry 4.0 technologies. Their perceived usefulness of technologies partially mediates the relationships between digital expertise and intention to adopt and between environmental consciousness and intention to adopt. The mediation roles of perceived ease of use, perceived visibility and social influence were not empirically confirmed. Integrating adoption theories with domain-specific knowledge-based decision-making is a novel theoretical approach adopted in the study. The key contribution is to the Industry 4.0 technology adoption literature by empirically confirming the effects of domain-specific knowledge expertise and environmental consciousness on the intention to adopt. Its practical implications lie in the confirmation that organisations benefit from their investment in the digital skill development of managers and environmentally conscious managers.

Breaking into the black box of consumers’ perceptions on metaverse commerce: An integrated model of UTAUT 2 and dual-factor theory

The advent of the metaverse has unveiled new promises for the retailing industry, yet little empirical research has explored the factors influencing consumer adoption intention in this context. This study aims to fill this gap by employing an integrated model of UTAUT 2 - “The Unified Theory of Acceptance and Use of Technology 2”, and Dual-factor Theory to investigate both barriers and enablers in metaverse commerce adoption. Using a sample size of 567 respondents, the data analysis method employed in this study is Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The results reveal the driving factors affecting consumer adoption intention in metaverse commerce. The study identifies perceived technological, regulatory, and cyber risks as significant barriers to consumer adoption intention in metaverse commerce. Conversely, the findings highlight the importance of performance and effort expectancy, perceived herd behaviour, hedonic motivation, and consumer innovativeness as key enablers driving consumer adoption intention in metaverse commerce. Interestingly, subjective norms were found to have an insignificant effect in this context. This research contributes to understanding consumer behaviour in the emerging field of metaverse commerce and provides valuable insights for practitioners and policymakers. The identified barriers and enablers can guide strategic decision-making, allowing businesses to address consumer concerns and capitalize on the factors that drive adoption intention in this novel environment. Future research avenues could explore additional factors and delve deeper into the dynamics of consumer behaviour within the metaverse.