The information systems (IS) literature has long emphasized the importance of user acceptance of computer-based IS. Evaluating the determinants of acceptance of information technology (IT) is vital ...to address the problem of underutilization and leverage the benefits of IT investments, especially for more radical technologies. This study examines individual acceptance of biometric identification techniques in a voluntary environment, measuring the intention to accept and further recommend the technology resulting from a carefully selected set of variables. Drawing on elements of technology acceptance model (TAM), diffusion of innovations (DOI) and unified theory of acceptance and use of technology (UTAUT) along with the trust-privacy research field, we propose an integrated approach that is both theoretically and empirically grounded. By testing some of the most relevant and well-tested elements from previous models along with new antecedents to biometric system adoption, this study produces results which are both sturdy and innovative. We first confirm the influence of renowned technology acceptance variables such as compatibility, perceived usefulness, facilitating conditions on biometrics systems acceptance and further recommendation. Second, prior factors such as concern for privacy, trust in the technology, and innovativeness also prove to have an influence. Third, unless innovativeness, the most important drivers to explain biometrics acceptance and recommendation are not from the traditional adoption models (TAM, DOI, and UTAUT) but from the trust and privacy literature (trust in technology and perceived risk).
Designing technologies that users will be interested in, start using, and keep using has long been a challenge. In the health domain, the question of technology acceptance is even more important, as ...the possible intrusiveness of technologies could lead to patients refusing to even try them. Developers and researchers must address this question not only in the design and evaluation of new health care technologies but also across the different stages of the user's journey. Although a range of definitions for these stages exists, many researchers conflate related terms, and the field would benefit from a coherent set of definitions and associated measurement approaches.
This review aims to explore how technology acceptance is interpreted and measured in mobile health (mHealth) literature. We seek to compare the treatment of acceptance in mHealth research with existing definitions and models, identify potential gaps, and contribute to the clarification of the process of technology acceptance.
We searched the PubMed database for publications indexed under the Medical Subject Headings terms "Patient Acceptance of Health Care" and "Mobile Applications." We included publications that (1) contained at least one of the terms "acceptability," "acceptance," "adoption," "accept," or "adopt"; and (2) defined the term. The final corpus included 68 relevant studies.
Several interpretations are associated with technology acceptance, few consistent with existing definitions. Although the literature has influenced the interpretation of the concept, usage is not homogeneous, and models are not adapted to populations with particular needs. The prevalence of measurement by custom surveys suggests a lack of standardized measurement tools.
Definitions from the literature were published separately, which may contribute to inconsistent usage. A definition framework would bring coherence to the reporting of results, facilitating the replication and comparison of studies. We propose the Technology Acceptance Lifecycle, consolidating existing definitions, articulating the different stages of technology acceptance, and providing an explicit terminology. Our findings illustrate the need for a common definition and measurement framework and the importance of viewing technology acceptance as a staged process, with adapted measurement methods for each stage.
Mobile payment provides every mobile device user the opportunity to conduct commercial transactions without cash or cards. While mobile payment is already the dominant payment type in Asia, it is ...still in its infancy in Europe despite a high mobile phone penetration rate and service providers' considerable investments in the technology. Mobile payment is therefore a recent example of the puzzle of abundance—a phenomenon describing a situation in which the potential of a new disruptive technology is not tapped by the masses even though it offers substantial benefits to them. In this study, we address this puzzle by investigating the factors influencing the intention to use a disruptive technology. We draw on the example of mobile payment and develop and test a refined technology acceptance model. Results indicate that the intention to use mobile payment services is positively affected by perceived usefulness, perceived compatibility, perceived personal innovativeness, and perceived social influence, but is negatively affected by perceived risk. Both perceived costs and perceived risk mitigate the positive impact of several other characteristics. Our findings provide points of leverage to better tap the potential of mobile payment in contexts such as Europe.
•Technology-specific characteristics influence mobile payment intention.•Perceived personal innovativeness is related to behavioral intention.•Intention to use mobile payment is explained by perceived social influence.•Perceived risk reduces individuals' intention to use mobile payment.•Perceived costs mitigate the positive impact of several characteristics.
In the past few decades, scholars have conducted research and held discussions on green building to highlight their vital significance in addressing environmental, economic and social challenges. It ...is recognized that public attitudes and views towards green building may affect its application in daily lives, although studies on consumers׳ cognition are rarely carried out. The social problems related to green building such as consumers׳ basic understanding, purchase intention, social and humanistic needs, public attitudes and behaviors, rebound effects and furthermore social acceptance are therefore studied, based on three research methods including literature review, questionnaire and inductive analysis. Through the analysis, following results can be obtained: (i) green building׳s sustainable design has quite important influence over consumers׳ decision making process. The general public maintains a high regard for the advantages of green building, where better ventilation and lighting is a major benefit, saving energy and water are the second rated, and then land and construction material saving. (ii) Although the general public is not being familiar with the concept of green building, the majority of participants would pay more for green buildings over the standard building when they know the environmental impacts of them. (iii) Green building should not only be limited to energy performance-oriented, but also be user-oriented, the social and humanistic needs model is thus well established based on Maslow׳s Hierarchy of Needs. In the life cycle of green building, social and humanistic needs show a trend of dynamics, which means social processes with consumer engagement and participation needs to be considered in aspects of conceptual design, planning and design, operation and maintenance to improve users׳ happiness and productivity. (iv)Current user-oriented solutions to green building are always based on a hypothesis that consumers are readily motivated or prefer expensive goods for reducing energy use, to really reflect preference and influenced actions, social acceptance should be analyzed to fully gauge interest and perspective of the people. (v) Rebound effects of post-occupant building performance, including energy performance, human comfort, indoor environmental quality, greenhouse gas emission and workplace productivity can be divided into two stages. At present, it is necessary to establish appropriate samples, methods and parameters for an unbiased and valid post-occupant evaluation system. In addition, the social acceptance of green building framework is established based on Wüstenhagen et al. triangular model for renewable energy innovation. All the explorations to social problems of green building in this article are expected to provide a healthy social basis for the development of this green strategy.
Self-compassion offers many personal benefits. However, whether and how the benefits of self-compassion may transmit to others remains unclear. Across three studies, we demonstrated that one way in ...which the benefits of being self-compassionate can spread from the self to others is by increasing acceptance of one’s own imperfections, which may, in turn, enhance acceptance of others’ imperfections. Specifically, Studies 1 and 2 found that self-compassionate people reported more acceptance of their own flaw, which, in turn, predicted greater acceptance of their romantic partner’s and acquaintance’s flaws. Study 3 used a dyadic design with romantic couples and found that self-compassion promoted felt acceptance of one’s own flaw by both members in the relationship. This occurred by virtue of acceptance of one’s own flaw, which, in turn, promoted greater acceptance of each other’s flaws. We discuss the implications of these results for future research on self-compassion.
Due to COVID-19, higher education institutions transitioned to online learning. This study explored college students’ perceptions of their adoption, use, and acceptance of emergency online learning. ...The factors analyzed were attitude, affect, and motivation; perceived behavioral control (ease of use of technology, self-efficacy, and accessibility), and cognitive engagement. Quantitative and qualitative data were collected from 270 students. The findings present how attitude, motivation, self-efficacy, and use of technology play a significant role in the cognitive engagement and academic performance of students. Also, participants preferred face-to-face learning over online learning. This study presents suggestions on how to improve the acceptance of emergency online learning.
Purpose
– The purpose of this paper is to examine and quantify how various uncertainties result in different perceived risk dimensions that hinder mobile payment (m-payment) acceptance.
...Design/methodology/approach
– An uncertainty-risk-value framework was proposed based on perceived risk theory, prospect theory, and perceived value theory. Structural equation modeling method was used to test the research model.
Findings
– Perceived information asymmetry, perceived technology uncertainty, perceived regulatory uncertainty, and perceived service intangibility are confirmed as the main determinants of perceived risk, while perceived performance risk, perceived financial risk, and perceived privacy risk were found to have strong negative effects on perceived value and acceptance intention.
Practical implications
– The findings may help businesses and policy makers better understand the sources of perceived risk and help support the development of appropriate strategies to mitigate the risk concerns consumers have regarding m-payment.
Originality/value
– Although the hindering effects of perceived risk regarding m-payment acceptance have been confirmed in previous studies, the sources of perceived risk were rarely investigated. By examining the determinants of perceived risk in m-payment acceptance, this paper offers insights into how consumers perceive risks when adopting new innovations. Additionally, it bridges the gap between the antecedents and consequences of perceived risk.
•This study compared technology acceptance theories in terms of AI-based intelligent products.•VAM performed best in modeling for understanding the acceptance of AI-based intelligent ...products.•Enjoyment is a crucial factor in terms of AI-based intelligent products, unlike other products.•First applied decomposition analysis in IS research for quantifying the influence among factors.•Users considered the characteristics of combined products rather than the AI technology itself.
The rapid growth of artificial intelligence (AI) technology has prompted the development of AI-based intelligent products. Accordingly, various technology acceptance theories have been used to explain acceptance of these products. This comparative study determines which models best explain consumer acceptance of AI-based intelligent products and which factors have the greatest impact in terms of purchase intention. We assessed the utility of the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Value-based Adoption Model (VAM) using data collected from a survey sample of 378 respondents, modeling user acceptance in terms of behavioral intention to use AI-based intelligent products. In addition, we employed decomposition analysis to compare each factor included in these models in terms of influence on purchase intention. We found that the VAM performed best in modeling user acceptance. Among the various factors, enjoyment was found to influence user purchase intention the most, followed by subjective norms. The findings of this study confirm that acceptance of highly innovative products with minimal practical value, such as AI-based intelligent products, is more influenced by interest in technology than in utilitarian aspects.
There has been continued debate regarding competing models with respect to predicting use of social networking services. In this research the authors conceptualize and empirically test a model that ...combines constructs from the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) together along with (1) a moderator between the two models, (2) perceived risk, and (3) trust. The empirical results support the hypothesis that perceived ease of use (from TAM theory) significantly amplifies (positively moderates) the effect of perceived behavioral control (from TPB theory) on intention to use the social networks for transactions. In short, there are benefits to integrating concepts from the two models instead of choosing one model over the other in research and practice. The results also indicate that perceived risk and trust play significant roles as antecedents in consumer decision making, and that risk-taking propensity has a direct effect on behavioral intention.
•“Perceived ease of use” moderates the effect of “perceived behavioral control”.•Perceived risk and trust play significant roles as antecedents in consumer decision making.•Risk-taking propensity has a direct effect on behavioral intention.
•Usability of online learning platforms is an important issue in times of COVID-19.•Digital divide of consumption platform does not have any effect on the usability.•Usability approach by HCI and IS ...communities are related and produce similar result.
The COVID-19 pandemic has resulted in a physical shutdown of all types of educational institutes worldwide due to which the education delivery has now shifted to an “online only” exclusivity model. In this perspective, perceived usability of the online learning platforms that are currently being used is an important aspect, especially due to the absence of any physical classes. In this work Microsoft Teams is used as the reference platform for which the perceived usability is evaluated. For the evaluation purpose a dual strategy is followed by using the System Usability Scale (SUS), which is a Human Computer Interaction (HCI) based approach, and the Technology Acceptance Model (TAM), which is an Information Systems (IS) based approach. Although both these instruments are popular in their respective domains, yet they have not been considered simultaneously in one work for the purpose of usability evaluation. By doing so, this work attempts to streamline and unify the process of usability evaluation. Results that are obtained from a large-scale survey of university students show the similarity and equivalency between the two methodologies, with the Perceived Ease of Use (PEOU) construct of TAM having greater similarity with SUS. Moreover, this work also considers the digital-divide aspect (mobile vs. web environment) that is prevalent particularly in developing countries like India, and whether it has any effect on the perceived usability. Results show that the consumption platform does not have any effect on the usability aspect.
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