Showing papers in "Technology in Society in 2021"

TL;DR: In this paper, the authors investigated the impact of information and communication technologies, economic growth, and financial development on carbon dioxide emissions by simultaneously testing the Environmental Kuznets curve (EKC) hypothesis in BRICS countries.

TL;DR: In this article, the authors draw the interlinkages between green technology innovation (GI) and carbon emissions (consumption-based and terrestrial emissions) in BRICS countries using monthly data from 1990 to 2017.

TL;DR: The results of ANOVA analysis showed the respondents being more partial towards learning via mobile applications and video content over the traditional form, and the students tended to emulate their teachers who integrated modern technologies into their curriculum and used it outside classroom hours for learning.

TL;DR: In this paper, the authors explored the impacts of ICT on CO2 emissions in 9 selected Asian economies which are the top contributors in polluting the environment in the Asian continent for the period of 1990-2018.

TL;DR: In this paper, the authors examined the factors influencing the satisfaction of customer with e-banking services and found that cloud services, security, e-learning, and service quality are four significant factors influencing customer satisfaction in using Internet banking services.

TL;DR: A survey of the literature and a scientific mapping of the evolution of the issues related to the qualification of professionals for Industry 4.0 highlighted the set of competencies that must be developed in professional education to accompany the new industrial revolution.

TL;DR: In this paper, the authors investigated the effects of technology-organizational-environmental (TOE) factors on the adoption of SM and SMEs' performance in developing countries.

TL;DR: In this article, the authors investigated the relationship between organizational culture, knowledge sharing, organizational innovation, and competitive advantage, and found that organizational culture fosters knowledge sharing and innovation activities among the workforce and links them with high-level business processes that could be conducive to acquiring advanced manufacturing capabilities.

TL;DR: In this article, the authors describe the state-of-the-art of human factors and ergonomics (HF/E) research related to the industry 4.0 context in manufacturing.

TL;DR: In this article, a survey-based empirical study with 203 respondents was conducted, which revealed that customer engagement behavior is strongly determined by social interaction, technological factors, and motivational factors (hedonic and utilitarian motivations and perceived value).

TL;DR: Wang et al. as mentioned in this paper explored the impact and mechanism of digital technology innovation and technology spillover to the domestic carbon emission intensity through impulse response analysis and variance decomposition, and concluded that technology innovation in the information industry will increase the intensity of carbon emissions.

TL;DR: In this paper, the cyclical impact of innovation in environmental-related technologies on C O 2 emanations for the United States from 1990Q1 to 2016Q4 was examined.

TL;DR: In this paper, the cyclical and asymmetrical impact of innovation in environmental-related technologies on carbon dioxide emissions in BRICS economies, as well as control variables such as fossil fuels, export taxes, household consumption expenditures, and exports, for the period 1990(Q1)-2016 (Q4).

TL;DR: In this article, the authors investigate the mismatch between assumptions implicit in the financial inclusion discourse and ideas of access and use of digital technologies and seek to move the discourse forward through a comprehensive framework for digital financial inclusion.

TL;DR: Wang et al. as discussed by the authors investigated the possible factors that drive Chinese customers' willingness to utilize facial recognition payment and found that factors such as perceived enjoyment, facilitating conditions, personal innovativeness, coupon availability, perceived ease of use (PEOU), perceived usefulness (PU), and users' attitude are main drivers of customers' decisions to use facial recognition payments.

TL;DR: In this article, the authors investigated influence factors in an acceptance model on behavioral intention and use behavior for products containing AI in an everyday life environment using PLS-Analysis, and analyzed additional influence factors to the UTAUT2 model in the three application segments mobility, household, and health, using a sample of 21,841 respondents.

TL;DR: In this paper, a global overview of the progress of Artificial Intelligence in sectors with high impact potential for sustainability like farming, forestry and the extraction of marine resources is presented, and possible systemic risks in these domains including algorithmic bias and allocative harms, unequal access and benefits, cascading failures and external disruptions, and trade-offs between efficiency and resilience.

TL;DR: In this paper, the authors explore the impact of the type of content use on smartphone addiction and academic performance by considering physical activity as a potential moderator, and find that physical activity moderates negatively the negative impact of game-related use on academic performance.

TL;DR: Wang et al. as mentioned in this paper explored the dynamic relationship among ICT, the digital divide and urbanization in China and found that ICT positively affects urbanization and directly improves urbanization levels and efficiency.

TL;DR: In this article, the authors examined the drivers of blockchain technology adoption and carbon performance using the theory of technology-organization-environment (TOE) as the basis for the development of a technology adoption framework.

TL;DR: In this paper, the authors found that during the COVID-19 pandemic there was significant on-going innovation throughout society during the pandemic, with many of the innovations having the ability to have long-term societal impact.

TL;DR: In this article, the authors explore how frugal innovations emerge at the grassroots level of developing countries and employ novel business models to contribute to sustainable development, mainly viewed through the lens of value proposition, value creation, and value capture.

TL;DR: In this paper, a super-efficiency Ray slacks-based measure model was extended to evaluate green innovation efficiency (GIE) in China during 1997-2018 and then analyzed its evolution of spatial-temporal dynamics.

TL;DR: In this paper, the authors present an empirical study that critically examines the differences in benefits, challenges, and critical success factors (CSFs) of Industry 4.0 in both manufacturing and service industries and rank them.

TL;DR: Wang et al. as discussed by the authors investigated the impacts of technology research and development (TERD) and technology commercialization (TECO) on green transformation efficiency (GTE) of 30 provinces of China (except for Tibet) from 2009 to 2018.

TL;DR: In this paper, the authors explored the role of IT affordance, flow experience, and trust on social commerce intention by using stimulus-organism response theory and affordance lens.

TL;DR: In this article, a model that identifies antecedents of citizens' trust to use social media for e-government services was developed to identify the factors that can generate citizens trust in eGovernment services.

TL;DR: In this paper, the authors identify the antecedents of digital transformation and demonstrate the mediating role of digital transformations on firm performance by using PLS-SEM modeling, which reveals that there is a considerable impact of competitive pressure, organizational mindfulness, IT readiness, and strategic alignment on digital transformation.

TL;DR: This framework foregrounds discourse principles geared to help offset these opacity challenges of AI and considers the mutual roles and dependencies of organizations that develop and apply AI, as well as civil society actors, and investigative media in exploring pathways for responsible AI innovation.

TL;DR: In this paper, the authors identified the technology and environmental management system as the key sub-criteria dimensions to be considered while selecting the supplier, and also found quality and delivery time as the important factors for selecting a supplier for green supply chain management.