The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?
Open accessAbstract
Highlights • Analysis of COVID-19 effects on certain technologies.• Overview of technologies which directly relate to the virus treatment.• Description of technologies that have been used to adapt to the pandemic.• Discussion of technological challenges related to innovation logics and their social impacts.
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Citations
Cites
Wang, Y., Kung, L., & Byrd, T. A. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.019 · Cited by 1,571
Chesbrough, H. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.04.010 · Cited by 664 · cited 1×
“Opening up information sources and sharing results is essential for obtaining fast and safe vaccines against COVID-19 (Chesbrough, 2020).”
BackgroundHengstler, M., Enkel, E., & Duelli, S. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.014 · Cited by 661
Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach
Liébana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., & Kalinic, Z. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.015 · Cited by 529
Jiang, R., Kleer, R., & Piller, F. T. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.01.006 · Cited by 480
Convergence innovation in the digital age and in the COVID-19 pandemic crisis
Lee, S. M., & Trimi, S. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.041 · Cited by 414
E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation
Papa, A., Mital, M., Pisano, P., & Del Giudice, M. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.02.018 · Cited by 323
Revising entrepreneurial action in response to exogenous shocks: Considering the COVID-19 pandemic
Giones, F., Brem, A., Pollack, J. M., Michaelis, T. L., Klyver, K., & Brinckmann, J. (2020) · Journal of Business Venturing Insights · doi:10.1016/j.jbvi.2020.e00186 · Cited by 320
Self-citationUnderstanding collaborative consumption: Test of a theoretical model
Barnes, S. J., & Mattsson, J. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.02.029 · Cited by 260
Work from Home After the COVID-19 Outbreak
Arizona State University, Bick, A., Blandin, A., Virginia Commonwealth University, Mertens, K., & Dallas, F. R. B. O. (2020) · Federal Reserve Bank of Dallas, Working Papers · doi:10.24149/wp2017r1 · Cited by 239
Cited by
Understanding the role of digital technologies in education: A review
Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022) · Sustainable Operations and Computers · doi:10.1016/j.susoc.2022.05.004 · Cited by 2,647
Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations
Yaacoub, J.-P. A., Noura, H. N., Salman, O., & Chehab, A. (2022) · International Journal of Information Security · doi:10.1007/s10207-021-00545-8 · Cited by 320
COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis
Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., Palacio-Fierro, A., & Ramos-Galarza, C. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121179 · Cited by 280
Drydakis, N. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10249-6 · Cited by 180
Metadata
- Authors
- Brem, A., Viardot, E., & Nylund, P. A.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 163
- Pages
- 120451
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W3095980244
- Cited by
- 389
- References
- 23
- FWCI
- 65.55
- Type
- journal article
- Language
- en
- Open access
- green
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- Brem, A., Viardot, E., & Nylund, P. A. (2021). Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives? Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2020.120451
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
