Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by ...removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adoption. The model is based on the integration of three adoption theories- technology acceptance model (TAM), technology readiness index (TRI) and the theory of planned behaviour (TPB). Based on a survey of 181 supply chain practitioners in India the proposed model was tested using structural equation modelling. The study found that the TRI constructs- Insecurity and discomfort have an insignificant effect on the perceived ease of use and usefulness. Perceived usefulness, attitude, and perceived behavioural control affect the behavioural intention. Subjective norm has a negligible impact on behavioural intention. This is one of the preliminary studies on BT adoption in supply chain and the findings imply that the supply chain practitioners perceive BT adoption free of efforts and would help them to derive maximum benefits for improving the supply chain effectiveness.
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.
The sharing economy literature has largely concentrated on the examination of peer-to-peer accommodation platforms such as Airbnb, with little attention paid on other innovations in collaborative ...consumption. This study investigates consumer adoption of the Uber mobile application through lenses of two theoretical models - Diffusion of Innovation Theory and Technology Acceptance Model. The results suggest that relative advantage, compatibility, complexity, observability, and social influence have a significant influence on both perceived usefulness and perceived ease of use, which in turn lead to subsequent consumer attitudes and adoption intentions. This study demonstrates the integration of the two classic adoption theories.
•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.
With the emergence of virtual reality, several challenges are posed to marketers, developers, and firms alike. These challenges concern futurity in the context of content creation, consumer ...acceptance, and return on investment (ROI). This manuscript focuses on these challenges by extending the technology acceptance model (TAM) by incorporating perceived enjoyment as a key belief variable and including four fundamental antecedents to the acceptance of virtual reality hardware. These variables are incorporated into a structural equation model to predict the outcomes of future use and purchase intention. These findings provide support for the continuity of VR hardware into the foreseeable future and initial support for the integration of inherent curiosity literature within the TAM literature framework.
Using the technology acceptance model and diffusion of innovations theory, this study evaluated the intention of consumers to use chatbots on smartphones for shopping. Chatbot is a relatively new ...technology and is expected to dominate mobile commerce and shopping applications in future. Hence, this study aimed to determine the association of perceived usefulness, perceived ease of use, perceived enjoyment, price consciousness, perceived risk, trust, and personal innovativeness with attitude and intention to use chatbots for shopping. Respondents were asked to fill a questionnaire after using a Facebook e-commerce chatbot that was specifically created for this study. In total, 350 responses were analyzed using partial least squares structural equation modeling. Results indicated that attitude toward chatbots was considerably influenced by the variables perceived usefulness, perceived ease of use, perceived enjoyment, price consciousness, perceived risk, and personal innovativeness. However, intention to use was directly influenced only by trust, personal innovativeness, and attitude. Mediation analysis indicated that full mediation occurs through the attitude variable for most direct relationships. Moderation analysis by using age, gender, and prior experience with mobile shopping applications indicated considerable differences between the groups in terms of the strength of certain relationships and the mean responses between the variables.
•Perceived usefulness, ease of use, enjoyment, risk, price consciousness, and personal innovativeness influence attitude.•Intention to use is directly influenced only by trust, personal innovativeness, and attitude.•Attitude fully mediates certain relationships leading to intention to use smartphone chatbots for shopping.•Age, gender, and prior experience in using mobile shopping applications moderate certain relationships in the model.
This study investigated a set of social-psychological predictors affecting smart meter support and adoption intention based on the Technology Acceptance and Sustainable Energy Technology Acceptance ...Models among 711 U.S. residents. Despite low levels of adoption in the U.S., this study suggested that the majority of our participants supported smart meter technology and were willing to adopt this technology. Two perceived technology attributes – usefulness and risk to privacy – had direct effects on support for smart meter installation and adoption intention, while the other technology attribute, perceived cost, had no impact. Individual differences in trust in one’s utility company and problem perception related to energy issues affected support and adoption intention through the mediators of perceived usefulness and privacy risk. Problem perception also had direct effects on support and adoption intention. Democrats reported higher levels of trust in utility companies and problem perception than non-Democrats. This study provides useful insights for utility managers, researchers and policy makers.
Smart Farming Technologies (SFTs) can improve production output while minimising costs and preserving resources; however, they are scarcely adopted by farmers. In the present study, the factors ...affecting farmers' intentions to adopt two types of SFTs (Type 1: drones, sensors for data acquisition and automatic download, and agricultural apps; Type 2: agricultural robots and autonomous machines) were investigated within the framework of the Technology Acceptance Model (TAM), considering the role played by different sources of information, Perceived Ease of Use (PEU), and Perceived Usefulness (PU). A questionnaire assessing the PEU and PU of the two types of SFTs, farmers' previous exposure to different impersonal and personal (formal and informal) sources of information, and farmers' intentions to adopt SFTs was administered to a sample of Italian farmers (n = 314). A mediated model, built on the TAM, showed that the PU affected farmers’ intention to adopt a technology and that personal sources of information, both formal and informal, affected the PU; however, while formal sources increased the PU, informal sources decreased the PU. The model was invariant across the two types of SFTs considered. The implications for the proposal of new technologies are discussed.
•Factors driving the intention to adopt Smart Farming Technologies were assessed in a group of Italian farmers.•The role of sources of information, perceived usefulness and perceived ease of use was considered.•Formal personal sources of information were the most effective lever for change in the SFTs domain.•This effect was mediated by perceived usefulness.•Advisory systems providing knowledge and access to innovation resources for different types of farmers are needed.
Increasingly, retailers rely on interactive technologies to improve consumers' shopping experiences. On the one side, interactive kiosks and smart mirrors make use of dedicated devices and software ...to explain, configure, and recommend products. On the other side, computer programs – so-called apps – are installed on the consumer's own device for the same purpose. They can be used at home, or – if installed on a mobile device – in retail outlets or on the move. In all cases, augmented reality (AR) can support these purposes by placing virtual content (e.g. new furniture) in a real environment (the consumer's home). The overall perception and acceptance toward such interactive technologies are discussed in this paper. Users' perceptions and experiences are measured by applying a modified technology acceptance model (TAM). Four experiments, two with marker-based and two with markerless AR apps are presented to support the generalization of the results, the measurement models and the measurement approach. The results are satisfactory with regard to the robustness of the TAM model. However, the relative importance of hedonic (enjoyment, pleasure, fun) and utilitarian (information) aspects varies for different kinds of AR apps and has to be considered for improvement to occur. From a measurement point of view the acquiescence bias has to be dealt with when developing scale items.
•The adoption of Augmented Reality (AR) technologies in retailing is investigated.•Two AR interaction approaches – markerless and marker-based – are compared.•Measurement is performed with a direct and an indirect approach.•Four experiments with a total of 978 participants are used for hypothesis testing.•Findings reflect similarities and dissimilarities of the approaches.
The extent to which teachers adopt technology in their teaching practice has long been in the focus of research. Indeed, a plethora of models exist explaining influential factors and mechanisms of ...technology use in classrooms, one of which—the Technology Acceptance Model (TAM) and versions thereof—has dominated the field. Although consensus exists about which factors in the TAM might predict teachers’ technology adoption, the current field abounds in some controversies and inconsistent findings. This meta-analysis seeks to clarify some of these issues by combining meta-analysis with structural equation modeling approaches. Specifically, we synthesized 124 correlation matrices from 114 empirical TAM studies (N = 34,357 teachers) and tested the fit of the TAM and its versions. Overall, the TAM explains technology acceptance well; yet, the role of certain key constructs and the importance of external variables contrast some existing beliefs about the TAM. Implications for research and practice are discussed.
•The Technology Acceptance Model (TAM) explains teachers' technology adoption.•Relations among variables in the TAM are synthesized meta-analytically.•The TAM and its versions fit the data well—even for subsamples of teachers.•Within the TAM, direct effects of PU on BI and ATT on USE exist.•The TAM explains behavioral intentions and technology use significantly.
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