Showing papers in "Technology in Society in 2020"

TL;DR: In this article, the authors investigated the factors influencing the acceptance of telemedicine services among the rural population of Pakistan using the technology acceptance model (TAM) with the inclusion of several other antecedents, such as ease of use, technological anxiety, social influence, perceived ease of usefulness, trust, facilitating conditions, perceived risk and resistance to technology.

TL;DR: In this article, a conceptual framework for distance education in the context of face-to-face education with the coronavirus has been proposed, addressing the question: What are the ramifications of implementing distance education amid coronaviral?

TL;DR: In this paper, the intention of consumers to use chatbots on smartphones for shopping was evaluated using the technology acceptance model and diffusion of innovations theory, and the intention was directly influenced only by trust, personal innovativeness, and attitude.

TL;DR: In this paper, a quantitative meta-analysis approach of 25 studies was undertaken to determine the most frequent factors that extended the Unified Theory of Acceptance and Use of Technology (UTAUT) in the context of Mobile payment (M-payment) adoption.

TL;DR: In this article, the authors proposed a design mechanism for three types of integration mechanism in Industry 4.0 by considering the socio-technical systems impact on people, infrastructure, technology, processes, culture and goals.

TL;DR: It is claimed that blockchain technology relies on cryptographic rules, mathematics, and game-theoretical incentives in order to increase confidence in the operations of a computational system, yet such an increase in confidence ultimately relies on the proper operation and governance of the underlying blockchain-based network, which requires trusting a variety of actors.

TL;DR: In this paper, the authors evaluate the association between technology innovation, environmental sustainability and its impact on small business performance and find that technological innovation affects environmentally friendly owners who have a positive impact on the performance of the company.

TL;DR: The findings indicate two powerful constructs (regulatory support and experience) that encourage customer's trust toward blockchain-based applications and governments and businesses can dedicate efforts to enhance customers' trust and ultimately promote better acceptance of blockchain technology and its applications.

TL;DR: This new technology can generate a shift of technological paradigm for diagnostic assessment of any cancer type and disease and generate socioeconomic benefits for poor regions because they can send digital images to labs of other developed regions to have diagnosis of cancer types, reducing as far as possible current gap in healthcare sector among different regions.

TL;DR: Results of SEM and neural network analysis indicate that the most significant predictor of cloud adoption is server location followed by facilitating conditions, relative advantage, service quality, top management support, computer self-efficacy, perceived risks, cloud provider's influence, and resistance to change.

TL;DR: Self-efficacy theory, critical mass theory, and flow theory were extended to explain 61% of the variance in behavioural intention to adopt mobile wallet and suggested there were interrelationships between the constructs employed.

TL;DR: The authors in this paper provide an overview of existing systematic reviews in this growing area of research and synthesise the findings related to drivers, barriers and social implications of the AI adoption in business and management.

TL;DR: Li et al. as mentioned in this paper investigated the relationship between green technology innovation and environmental regulations and found that environmental regulations have a U-shape non-linear effect on green process innovation, while government subsidies have a positive role in promoting green process innovations.

TL;DR: In this paper, the authors applied Partial Least Squares (PLS) to analyze the impact of ICT on economic growth in the European Economic Community (EEC) countries.

TL;DR: In this article, the authors investigated the influence of social media use during the COVID-19 pandemic and concluded that social media is powerful to affect decision-makers and did not create any panic or anxiety amongst them.

TL;DR: A conceptual model is developed by extending the technology acceptance model (TAM) with KM factors (acquisition, sharing, application, and protection) with the Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the M-learning acceptance.

TL;DR: In this article, the authors identify the socioeconomic and demographic factors that stimulate Internet adoption and use among Mexico's rural population using an econometric model to deal with potential selection bias problems, and information from Mexico's National Survey on Availability and Use of Information Technologies in Households.

TL;DR: Based on Diffusion of Innovations (DOI) theory, the Technology Acceptance Model (TAM), the Decomposed Theory of Planned Behavior (DTPB) model, this paper developed an integrated model to provide a fuller understanding of factors facilitating or impeding the adoption of mobile banking, focusing on consumers in Taiwan and Vietnam.

TL;DR: In this paper, the authors examined the endogenous relationships between R&D, ICT infrastructure development and economic growth in the OECD countries between 1961 and 2018, and found that both research and development and ICT infrastructures contribute to long-term economic growth.

TL;DR: In this article, the authors examined the contribution of ICT and education to economic growth concerning the Middle East countries in comparison with the Organization for Economic Cooperation and Development (OECD) economies.

TL;DR: In this paper, the authors examined the factors influencing behavioral intention and actual usage behavior of mHealth apps among technology prone young generation and extracted variables from the widely accepted Unified Theory of Acceptance and Use of Technology (UTAUT2) alongside privacy, lifestyles, selfefficacy and trust.

TL;DR: In this article, the authors presented a comprehensive review of blockchain adoption barriers in the context of humanitarian supply chain management, using an integrated approach using Fuzzy Delphi and Best-Worst method.

TL;DR: In this article, the authors extended the Unified Theory of Acceptance and Use of Technology (UTAUT2) to the study of JoMoPay system in the Jordanian context and proposed a model incorporating four new external constructs into UTAUT2 model, namely; awareness, security, privacy and culture.

TL;DR: In this article, the authors examined possible factors that influence continuance intention to use a smartwatch and found that perceived aesthetics, satisfaction, individual mobility, and habit are associated with individuals' continuance intent to use smartwatches.

TL;DR: Partial least squares analysis on 61 software development teams indicates the positive impact of social media on transactive memory system and potential and realized absorptive capacity, which in turn can influence team innovation performance.

TL;DR: In this paper, a survey of 391 participants was conducted and the data were analyzed using structural equation modeling (SEM) to examine individuals' adoption attitudes toward AVs by considering trust and sustainability concerns.

TL;DR: In this paper, the mediating role of ICT development and institutional quality on the e-government development and corruption linkage has been analyzed using a hypothesized model and Partial Least Squares Structural Equation Modelling (PLS-SEM).

TL;DR: In this article, the influence of cultural values of trust, transparency, and openness in Nordic national artificial intelligence (AI) policy documents is explored, highlighting differences in how Nordic nations position themselves using cultural values as organizing principles, with the author showing these values support the development of AI technology in society.

TL;DR: The results accentuated and proved the positive impacts of performance expectancy, effort expectancy, social influence, individual factors, and facilitating conditions on the intention to use IoT technology, indicating the significant impact of behavioral intention on the actual usage of IoT technology.

TL;DR: A systematic literature review is used to assess the state-of-the-art, characterize the unit of analysis, and find new avenues for further research that indicate that, in high customer contact settings, service robots tend to outperform humans when performing standardized tasks.