Consumer Adoption Intention Research Articles

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

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.

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.

Addressing concerns about sustainability and animal welfare: Investigating consumers' adoption and behavioral intention towards plant-based eggs.

This study aimed to address the concerns regarding sustainability and animal welfare that have led to egg shortages. By examining consumer adoption and purchase intention towards plant-based eggs as a viable alternative, this study identifies the key factors influencing consumer interest. The study integrates the Theory of Planned Behavior (TPB) and Value-Attitude-Behavior (VAB) frameworks. Data from 239 responses were collected through a questionnaire survey and analyzed using SPSS 27.0 and AMOS 28.0. The results highlight the significant impact of intrinsic food value and sensory appeal on purchase intention. Attitude, subjective norms, and perceived behavioral control mediate the relationship between food value and purchase intention. The findings of this study provide valuable insights for food industry professionals by enabling them to develop targeted strategies. Moreover, this study emphasizes plant-based eggs as a sustainable and health-conscious solution to egg shortages, thereby promoting overall industry sustainability.

The emergence of mobile payment acceptance in Saudi Arabia: the role of reimbursement condition

PurposeThis study aims to scrutinize existing end-user comprehension regarding e-wallet technology through an examination of apparent usefulness, ease of use and levels of trust, and how these factors may influence a consumer’s attitudes toward the adoption of this new payment method.Design/methodology/approachThe quota sampling method was used, and residents over the age of 22 years were targeted in online and offline questionnaires, and partial least squares-structural equation modeling was used to analyze the data.FindingsThis study indicates that existing consumer mindsets and intentions to adopt new technology, such as the e-wallet, are greatly influenced by their perception of the practicality of the product, its ease of use and their levels of trust in the technology to protect their online safety, privacy and economic affairs. Contrastingly, those participants who were offered deferred reimbursements and those given no information were demonstrably less likely to adopt the new service.Research limitations/implicationsThe study sample was from a developing nation – Saudi Arabia. Similar cohorts from developing and developed countries could provide a unique cross-nation comparison.Practical implicationsThis study stresses the importance of thoroughly explaining and demonstrating an innovative technology to customers while simultaneously promoting the product. Consumers can be encouraged to use and evaluate the new technology by providing inducements, such as effective reimbursement policies.Originality/valueThis paper contributes to literature by critically reflecting on the question: What are the factors influencing customer intentions to adopt the e-wallet, and how do the guarantee of reimbursement and the time frame following unauthorized use influence consumer adoption intentions when deciding to use the new payment technology?

The Impact of Chatbot Communication Style and Service Remedies on Consumer Adoption Intention

The development of chatbots is very rapid, so far, the research on chatbots mainly focuses on the field of service success, ignoring the fact that chatbot service failure (i.e., making mistakes) is a kind of norm, how to better design chatbots so as to minimize the loss brought by service failure has become a problem that needs to be solved urgently by AI producers nowadays. Based on the chatbot service failure scenario, this paper investigates the different impacts of chatbots adopting two communication styles, social and task, on consumers' adoption intention, and finds that consumers' adoption intention of social (vs. task) chatbots is lower after service failure, in which uniqueness neglect plays a mediating role. In addition, different matching effects between three chatbot service remedies (humor vs. apology vs. compensation) and communication style (social vs. oriented) were explored. Social-oriented chatbot service failure, using humor as a service remedy was superior to compensation. Task-oriented chatbot service failure and the use of compensation as a means of service remediation is superior to humor. Apologizing is less effective than humor and compensation in both social and task-oriented chatbot service failure scenarios. The conclusions of this paper enrich the research on chatbots in the area of service failure and provide effective suggestions for merchants to design and apply chatbots.

Consumer's Intention to Embrace Electric Vehicles: A Study of Indian EV Market

The study focuses on understanding the influence on consumers' intention to embrace electric vehicles in India. This study uses Regression analysis to analyze the effect of Six Factors viz. perceived utility, perceived usability, environmental concern, compatibility, moral norms, and individualinventiveness on the consumers' intention to embrace electric vehicles. The study is analytically examined based on the data obtained from 152 relevant respondents in India. The analysis revealed that ecological crisis (EC) is essential in influencing the consumer adoption intention of electric vehicles. The data showed that environmental concern is positively associated with it. The study also showed that moral standards are positively associated with consumers' intentions to purchase electric vehicles, indicating that ethical standards positively and significantly impact consumer adoption. Though perceived usefulness is a positive indicator of consumer adoption, it does not significantly influence their intention. Additionally, it was discovered that consumers' perceived usability, compatibility, and individual innovativeness are not positively connected with their intent to purchase electric vehicles and are not statistically significant. Planners and Legislators may find the study's findings helpful in increasing the rate at which electric vehicles are adopted in the real world.

Evaluating digital health attributes for users’ satisfaction: an application of the Kano model

PurposeThe purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their impact on improving user satisfaction.Design/methodology/approachThrough a literature review and interviews with health professionals and patients, 20 attributes of digital health services provided in Italy have been identified. User satisfaction with these attributes has been evaluated by adopting the Kano model’s continuous and discrete analyses.FindingsThe findings reveal the essential attributes of digital health services that meet users' expectations, identify the attributes that users appreciate or dislike having and highlight unexpected attributes that lead to a significant boost in satisfaction when provided.Research limitations/implicationsThis study demonstrates the efficacy of the Kano model in assessing the nonlinear correlation between user satisfaction and the quality of digital health services, thus contributing to fill a gap in the literature in this area. The main limitation of this work is the use of a non-probabilistic sampling method.Practical implicationsThis research suggests healthcare institutions and organizations consider user preferences when designing digital health solutions to increase their satisfaction. The results indicate different effects on user satisfaction and dissatisfaction for different categories of attributes in the Italian context.Originality/valuePrevious works studied customer satisfaction with digital health, assuming a linear relationship with service quality, or investigated consumer adoption intentions focusing on the technological factors. This work advances available knowledge by analyzing the nonlinear relationship between digital health attributes and users’ satisfaction and dissatisfaction.

Predicting Consumer Intention to Adopt Battery Electric Vehicles: Extending the Theory of Planned Behavior

Societies worldwide are under increasing pressure to reduce carbon footprints, combat air pollution, and address climate change. Battery electric vehicles (BEVs) represent a sustainable transportation solution to mitigate environmental issues. Despite growing consumer demand, BEV adoption rates remain relatively low. This study extends the theory of planned behavior to analyze factors influencing consumer adoption intentions for BEVs in Spain. The research incorporates the constructs Attitude, Perceived Behavioral Control, Subjective Norm, Moral Norm, Environmental Concern, and a unique consumer ‘profile’ dimension comprising experience, education, and gender, alongside the moderating variable of ‘price sensitivity’. This study comprises 1816 responses collected through an online survey, and it utilized the partial least squares structural equation model. The empirical findings indicate that Attitude, Perceived Behavioral Control, Subjective Norm, and Moral Norm significantly impact consumer adoption intention. Attitude emerges as the strongest influencer, emphasizing the significance of personal beliefs. Environmental Concern suggests environmentally conscious consumers may lean toward BEV adoption due to positive attitudes. The ‘profile’ dimension does not affect the relationship toward adoption intention. Price sensitivity moderates these relationships, indicating pricing strategies and incentives could significantly influence BEV adoption decisions. These findings offer practical guidance for governments and manufacturers aiming to promote sustainable, eco-friendly transportation methods in the face of global environmental challenges.

Consumer Behavioral Intention of Adopting Emerging Healthcare Technology

Gene repair is a new emerging healthcare technology garnering increasing attention. Despite the large potential future market for gene repair, a lack of research exists between the advancement of this innovation and consumer adoption intention. This study develops a theoretical model by contextualizing the unified theory of acceptance and use of technology (UTAUT) into gene repair applications. That model is extended to this specific context by integrating the relevant constructs of perceived risks and trust. Survey data allows empirically testing this new posited model through partial least square-structural equation modeling. Results show the effectiveness of the proposed model and explain the mechanism of consumer behavioral intention in the context of a gene repair application, a proxy of emerging healthcare technology. Specifically, findings show that both social influence and facilitating conditions positively correlate with consumer behavioral intention. In addition, research on trust is extended because performance expectancy and perceived risks fully mediate the correlation between trust and consumer behavioral intention. The findings of both direct and mediation effects contribute to the technology acceptance literature and provide practical implications on the promotion of emerging healthcare technologies.

Key Factors Influencing Consumer Adoption Intentions of Super Apps in Germany

Key Factors Influencing Consumer Adoption Intentions of Super Apps in Germany

Customers Adaptation of E-banking services; extending TAM through Anthpmorphism in Saudi Arabia

This study aims to investigate influence of perceived anthropomorphism, perceived ease of use, perceived usefulness, privacy concerns, as well as attitude on intention to adopt AI banking services. The research follows a positivistic and deductive reasoning approach, utilizing experimental techniques in a cross-sectional design. Data of 210 responses collected through a questionnaire distributed via Google Docs were analyzed using Smart PLS3. The results indicate that intention to adopt AI banking services is influenced by perceived anthropomorphism, perceived ease of use, perceived usefulness, and privacy concerns through attitude. Strong correlations among all variables were observed, highlighting the significant and positive impact of artificial intelligence on encouraging acceptance of advanced technology in banking sector in Kingdom of Saudi Arabia. Future research is recommended to test various other variables using the same research model in different countries. Practical implications include the need for senior managers and policymakers in financial institutions to formulate relevant policies and marketing strategies aligned with customer needs. This research study's primary objective is to prospect and examine factors impelling consumer adoption intentions of artificial intelligence in banking sector in Kingdom of Saudi Arabia.

Predicting Public Willingness to Use Autonomous Shuttles: Evidence from an Emerging Economy

The purpose of this paper is to investigate the public’s willingness to adopt autonomous shuttles for public transport. This study proposes a research framework to explain people’s adoption intentions. Therefore, this study adapts and extends the value-based adoption model based on the cost-benefit theory. Using empirical data from 312 respondents in Malaysia, a structural equation model is utilized to test the hypotheses. The results indicate that perceived usefulness and perceived enjoyment have a positive influence on perceived value. Furthermore, perceived value positively influences the intention to use autonomous shuttles. Perceived risk was found to have no influence on perceived value, and the relationship between perceived risk and perceived value was not moderated by personal innovativeness. To improve consumer adoption intention predictions for this complex and new technology, future research should consider incorporating additional variables. Additionally, once autonomous shuttles are introduced into the market, future studies can utilize market data for more precise analysis. This study adds to past research findings by providing a detailed understanding of the role of perceived value in the adoption of autonomous shuttles. It contributes new knowledge on consumers’ psychological stance toward this emerging technology. Consequently, it serves as a valuable benchmark for further studies seeking to provide a more comprehensive understanding of consumer acceptance of autonomous shuttle services, particularly in emerging economies.

Perceived Value Dimensions of Virtual Idols and Its Influence Mechanism on Consumer Adoption Intention Based on Grounded Theory

In response to the rapid technology development but inadequate attention on consumer value of virtual idol, this study aims to explore the connotation of perceived characteristics of virtual idols, dimensional indicators, and the mechanism of their influence on consumers' adoption intention. Through the method of in-depth interviews and grounded theory, this study found the perceptual characteristics of virtual idols including nine elements: appearance characteristics, temperament characteristics, movement characteristics, voice characteristics, storylines, story scenes, character features, technical empowerment, and personality empowerment. Based on the Stimulus-Organism-Response theory, a theoretical framework established to explain the influence mechanism: from perceptual characteristics of virtual idols, to social identity, to consumption value and emotional value, to consumers' adoption intention. This study can help virtual idol enterprises get closer to consumers, and promote the healthy development of virtual idols.

How the smart product attributes influence consumer adoption intention.

Compared with traditional products, the connection attributes and intelligence attributes of the smart product are their differentiated competitive advantages. In order to understand how smart product attributes affect consumer attitudes and the influencing mechanism, we carry out this study. In the framework of psychological empowerment, this paper explores the relationship between smart product attributes and consumers' adoption intention. We consider that companies can launch a range of smart products, where the probability of success is related to the degree to which intelligent and connection attributes stimulate consumer motivation. Smart products with intelligence attributes and connection attributes can improve consumers' cognition of the four motivations consist of meaning, ability, autonomy and influence, which activate consumers' psychological sense of empowerment, and thus improve consumers' willingness to adopt. In addition, we also find that consumer heterogeneity influences this process. This paper mainly reports the moderating effect of Consumer domain-specific innovation. We find that the connection and intelligence attributes of smart products stimulate consumers' adoption intention effectively. The findings of this paper complement innovation management literature related to smart product attributes and provide suggestions for enterprises to introduce smart products.

Electric vehicle adoption intention in the Himalayan region using UTAUT2 – NAM model

Electric vehicles (EVs) can significantly lower transport fuel consumption and carbon emissions. Therefore, the Indian Government is vigorously promoting the adoption of EVs. Himachal Pradesh has become one of the leading states to start the adoption of EVs for public transport in India. Based upon the unified theory of acceptance and use of technology (UTAUT2) and norm activation model (NAM), an integrated model of potential consumers’ adoption intentions was built. A questionnaire survey was carried out among potential consumers in Himachal Pradesh, India. Data were obtained from potential consumers’ (N = 309) and were assessed using structural equation modelling (SEM). The findings show that performance expectancy, facilitating conditions, hedonic motivation, price value, and personal norms have significant positive effects on consumers’ intentions to adopt EVs. However, effort expectancy, social influence, and habit do not significantly impact adoption intention. In addition, the multi-group SEM analysis of different age groups showed significant differences in social influence and hedonic motivations in the path of consumer adoption intention. Finally, implications for policymakers and future research directions are discussed.

Consumer adoption intention toward FinTech services in a bank-based financial system in Vietnam

PurposeThis study aims to identify the key factors driving consumer adoption attention toward FinTech services in a bank-based financial system to lay a firm ground for further policy recommendations to promote the dual development of FinTech and the banking industry in Vietnam as well as other emerging economies similar banking system.Design/methodology/approachA technology acceptance model with a data set of 387 observations collected from a thorough research design is used and proceeded with probit regression.FindingsThe paper finds that existing bank users are holding a high intention to approach FinTech services regardless of involved costs and time, suggesting a traditional banking system to open up the collaboration channel with FinTech firms in prospective business areas. The findings also reveal an interestingly important position of consumers’ latent needs in inclining consumers to use FinTech services in Vietnam.Research limitations/implicationsIn this study, the variable measurement is not comprehensive as the authors use a single question for each variable. Second, most of the respondents reside in two big cities of the country, which are currently witnessing the rising presence of FinTech companies. So, if the future penetration of FinTech firms reaches out of these big cities, a better research sample with a diversified geographic trait should be considered.Practical implicationsThis study’s findings draw out valuable recommendations to bankers and especially policymakers to stimulate the future penetration of FinTech firms along with assuring and strengthening the important position of the banking sector in the economy.Originality/valueThis paper’s novelty lies in several aspects. First, this study provides a broad view of the market potentials for FinTech firms from the demand side on a wide range of FinTech services rather than focusing only on payment services as presented in previous studies. Besides, the paper also discovers a new factor attributing to the adoption intention of the FinTech end-users, the users’ latent needs. Third, these empirical results carry a considerable contribution to the limited literature on this topic in Vietnam. And, most importantly, this study’s findings significantly prove the noticeable contribution of consumers’ preference to the indisputable development of FinTech. This afterwards helps to shape viable governmental regulations to facilitate effective market penetration strategies of FinTech in accordance with nurturing the future strategic development of a bank-based financial system under the emergence of FinTech. Of which, the authors call for clear and official moves of the governmental bodies in facilitating the collaboration between FinTech and the banking system coupled with enhancing measures of customer protection in the financial field in Vietnam. The findings and the regulatory implications for our country could be a vital source and replicated for other emerging economies’ cases with similar traits of the financial system.

Study on Double Reduction Policy on Service Adoption Intention of Private Education and Training Institutions of Sichuan Consumer

This study takes the Sichuan consumer group as the research object and combines the consumer’s perceived risk theory with the perceived value theory to explore the “double reduction policy on the service adoption intention of private education and training institutions in the Sichuan consumer group” mechanism of influence.” Through research and analysis, the advantages and disadvantages of the education and training industry and future development trends are found, and feasible suggestions for improving the services of the education and training industry are put forward. The three research objectives are: to analyze the current economic impact of consumer adoption intentions on educational and training institutions in Sichuan; to explore the relationship between adoption intention and various dimensions (perceived risk, attitude to use, perceived usefulness, and perceived ease of use) of adoption intention: and the significance of adoption intention; to formulate targeted marketing strategies, and provide valuable advice for education and training institutions.

Consumer adoption of green hotels: understanding the role of value, innovation, and involvement

ABSTRACT Escalating environmental concerns have increased consumer interest in green consumption, and many hotels have embarked on a green transformation to accommodate this growing public sentiment. However, many consumers remain skeptical about green hotels. This research aims to shed light on consumer adoption of green hotels using value theory and diffusion of innovation theory. A structural equation modeling analysis is conducted on data collected from 332 hotel guests in India. In doing so, this research reveals four significant findings, namely (1) utilitarian value is the most substantial value predictor, followed by biospheric and hedonic values; (2) consumer innovativeness is a stronger innovation predictor than innovation characteristics; (3) consumers with high green involvement are more likely to adopt green hotels than their low green involvement counterparts; and (4) consumer adoption intention is a significant predictor of consumer actual adoption of green hotels. Taken collectively, this research provides valuable insights on consumer responses toward the value and innovation ascribed to green hotels, especially in emerging economies, where sustainability practices remain voluntary rather than mandatory. It also establishes a new theory - i.e., the value and innovation theory of green hotel adoption - that can be adopted (used), adapted (modified), or advanced (extended) in the future.

Modeling Consumer Adoption Intention of an AI-Powered Health Chatbot in Taiwan: An Empirical Perspective

Modeling Consumer Adoption Intention of an AI-Powered Health Chatbot in Taiwan: An Empirical Perspective