Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?
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TLDR
Technologies that relate directly to the treatment of the virus as well as those that have been used to adapt to living under this crisis are presented, highlighting how these technologies may prove helpful in the future.Citations
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Digital knowledge sharing and creative performance: Work from home during the COVID-19 pandemic
TL;DR: In this paper, the authors investigated the external and internal digital knowledge sharing and creative performance of knowledge workers during the COVID-19 pandemic and found that female and older employees were more likely to engage in external knowledge sharing than their counterparts.
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COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis.
Jorge Cruz-Cárdenas,Ekaterina Zabelina,Jorge Guadalupe-Lanas,Andrés Palacio-Fierro,Carlos Ramos-Galarza +4 more
TL;DR: In this article, a systematic review of the knowledge generated by 70 COVID-19 and consumer behavior studies in the Scopus database is presented, highlighting the importance of using quantitative methods and China and the US as research settings.
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The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method
TL;DR: In this article , a framework based on multiple time scales and market conditions was proposed to quantify the interrelationship between the carbon futures and green bond markets, where the maximum overlap discrete wavelet transform (MODWT) and two quantile methods were used to decompose the sequences into various frequencies and quantiles.
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Understanding the Role of Digital Technologies in Education: A review
TL;DR: In this paper , the authors discuss the need for digital technologies in education and discuss major applications and challenges in education, and highlight the benefits of using digital technologies for education and the challenges of using them in education.
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Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.
TL;DR: In this article, the authors discuss the potential impact of the pandemic on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT.
References
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Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations
TL;DR: The historical development, architectural design and component functionalities of big data analytics, including analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability and traceability are examined.
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Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices
TL;DR: This study illustrates the dichotomous constitution of trust in applied AI and provides tangible approaches to increase trust in the technology and illustrates the necessity of a democratic development process for applied AI.
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To recover faster from Covid-19, open up: Managerial implications from an open innovation perspective
TL;DR: In this paper, the authors discuss how to manage innovation as part of the recovery from the coronavirus, and derive some lessons from how we have responded to the virus so far, and what those lessons imply for managing innovation during the recovery.
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Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030
TL;DR: In this paper, the authors present the results of an extensive Delphi survey on the future of additive manufacturing with a focus on its economic and societal implications in 2030, and derive implications for industry, policy, and future research.
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Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach
TL;DR: A new research model used for the prediction of the most significant factors influencing the decision to use m-payment found that the mostificant variables impacting the intention to use were perceived usefulness and perceived security variables.