[
Acemoglu, D., & Restrepo, P. (2019). Artificial Intelligence, Automation, and Work. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The Economics of Artificial Intelligence: An Agenda (pp. 175–186). University of Chicago Press. https://www.nber.org/books-and-chapters/economics-artificial-intelligence-agenda/artificial-intelligence-automation-and-work
]Search in Google Scholar
[
Biancolillo, I., Paletto, A., Bersier, J., Keller, M., & Romagnoli, M. (2020). A literature review on forest bioeconomy with a bibliometric network analysis. Journal of Forest Science, 66(7), 265–279. https://doi.org/10.17221/75/2020-JFS
]Search in Google Scholar
[
Bimbraw, K. (2015). Autonomous cars: Past, present and future: A review of the developments in the last century, the present scenario and the expected future of autonomous vehicle technology. ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings, 1, 191–198. https://doi.org/10.5220/0005540501910198
]Search in Google Scholar
[
Bower, J. L., & Christensen, C. M. (1995). Disruptive technologies: catching the wave. (technological investments). Harvard Business Review, 73(1), 43–53.
]Search in Google Scholar
[
Christensen, C. M. (1997). The innovator’s dilemma: when new technologies cause great firms to fail (First Edition). Harvard Business Review Press.
]Search in Google Scholar
[
Danneels, E. (2004). Disruptive technology reconsidered: A critique and research agenda. Journal of Product Innovation Management, 21(4), 246–258. https://doi.org/10.1111/j.0737-6782.2004.00076.x
]Search in Google Scholar
[
Del Vecchio, V., & Menegoli, M. (2023). Internet of Things and Industrial Business Models: Knowledge Boundaries and Practical Implications. Proceedings of the 2023 5th Blockchain and Internet of Things Conference, 80–86. https://doi.org/10.1145/3625078.3625089
]Search in Google Scholar
[
Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., Feldman, M., Groh, M., Lobo, J., Moro, E., Wang, D., Youn, H., & Rahwan, I. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences of the United States of America, 116(14), 6531–6539. https://doi.org/10.1073/pnas.1900949116
]Search in Google Scholar
[
Furness, M., Bello-Mendoza, R., Dassonvalle, J., & Chamy-Maggi, R. (2021). Building the ‘Bio-factory’: A bibliometric analysis of circular economies and Life Cycle Sustainability Assessment in wastewater treatment. Journal of Cleaner Production, 323, 129127. https://doi.org/10.1016/J.JCLEPRO.2021.129127
]Search in Google Scholar
[
Gans, Joshua. (2017). The disruption dilemma. The MIT Press.
]Search in Google Scholar
[
Goyal, S., Chauhan, S., & Mishra, P. (2021). Circular economy research: A bibliometric analysis (2000–2019) and future research insights. Journal of Cleaner Production, 287, 125011. https://doi.org/10.1016/J.JCLEPRO.2020.125011
]Search in Google Scholar
[
Hsu, P. D., Lander, E. S., & Zhang, F. (2014). Development and Applications of CRISPR-Cas9 for Genome Engineering. Cell, 157(6), 1262. https://doi.org/10.1016/J.CELL.2014.05.010
]Search in Google Scholar
[
Huang, H., Lu, J., Jin, L., & Ren, H. (2024). The Future of Environmental Engineering Technology: A Disruptive Innovation Perspective. Engineering, 41, 153–160. https://doi.org/10.1016/J.ENG.2024.06.009
]Search in Google Scholar
[
Huang, L., Ladikas, M., Schippl, J., He, G., & Hahn, J. (2023). Knowledge mapping of an artificial intelligence application scenario: A bibliometric analysis of the basic research of data-driven autonomous vehicles. Technology in Society, 75, 102360. https://doi.org/10.1016/J.TECHSOC.2023.102360
]Search in Google Scholar
[
Jacobson, M. Z., Delucchi, M. A., Bauer, Z. A. F., Goodman, S. C., Chapman, W. E., Cameron, M. A., Bozonnat, C., Chobadi, L., Clonts, H. A., Enevoldsen, P., Erwin, J. R., Fobi, S. N., Goldstrom, O. K., Hennessy, E. M., Liu, J., Lo, J., Meyer, C. B., Morris, S. B., Moy, K. R., … Yachanin, A. S. (2017). 100% Clean and Renewable Wind, Water, and Sunlight All-Sector Energy Roadmaps for 139 Countries of the World. Joule, 1(1), 108–121. https://doi.org/10.1016/j.joule.2017.07.005
]Search in Google Scholar
[
Jajic, I., Khawaja, S., Hussain Qureshi, F., & Pejić Bach, M. (2022). Augmented Reality in Business and Economics: Bibliometric and Topics Analysis. Interdisciplinary Description of Complex Systems, 20(6), 723–744. https://doi.org/10.7906/INDECS.20.6.5
]Search in Google Scholar
[
Konstantinis, A., Rozakis, S., Maria, E. A., & Shu, K. (2018). A definition of bioeconomy through the bibliometric networks of the scientific literature. AgBioForum, 21(2). https://agbioforum.org/wp-content/uploads/2021/02/AgBioForum-21-2-64.pdf
]Search in Google Scholar
[
Lepore, J. (2014, June 16). What the Gospel of Innovation Gets Wrong | The New Yorker. https://www.newyorker.com/magazine/2014/06/23/the-disruption-machine
]Search in Google Scholar
[
Li, Munan., Porter, Alan. L., & Suominen, Arho (2018). Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective. Technological Forecasting and Social Change, 129, 285–296. https://doi.org/10.1016/J.TECHFORE.2017.09.032
]Search in Google Scholar
[
Markides, C. (2006). Disruptive innovation: In need of better theory. Journal of Product Innovation Management, 23(1), 19–25. https://doi.org/10.1111/j.1540-5885.2005.00177.x
]Search in Google Scholar
[
Marques, P. C., Reis, J., & Santos, R. (2023). Artificial Intelligence and Disruptive Technologies in Service Systems: A Bibliometric Analysis. International Journal of Innovation and Technology Management, 20(7). https://doi.org/10.1142/S0219877023300033
]Search in Google Scholar
[
Mohideen, R. (2020). Technologies “Disrupting” Gender Relations? Women and the Energy Revolution in Asia, 27–38. https://doi.org/10.1007/978-981-15-0230-9_3
]Search in Google Scholar
[
Mougenot, B., & Doussoulin, J. P. (2022). Conceptual evolution of the bioeconomy: a bibliometric analysis. Environment, Development and Sustainability, 24(1), 1031–1047. https://doi.org/10.1007/S10668-021-01481-2
]Search in Google Scholar
[
Nakamoto, S. (2008). Bitcoin: a peer-to-peer electronic cash system, October 2008. Cited On. https://www.ussc.gov/sites/default/files/pdf/training/annual-national-training-seminar/2018/Emerging_Tech_Bitcoin_Crypto.pdf
]Search in Google Scholar
[
Patel, R., Migliavacca, M., & Oriani, M. E. (2022). Blockchain in banking and finance: A bibliometric review. Research in International Business and Finance, 62, 101718. https://doi.org/10.1016/J.RIBAF.2022.101718
]Search in Google Scholar
[
Perea, L. N., Gaviria, D., & Redondo, M. I. (2020). Bioeconomy: bibliometric analysis from 2006 to 2019. Revista Espacios, 41(45). https://doi.org/10.48082/espacios-a20v41n43p02
]Search in Google Scholar
[
Pilkington, A., & Meredith, J. (2009). The evolution of the intellectual structure of operations management—1980–2006: A citation/co-citation analysis. Journal of Operations Management, 27(3), 185–202. https://doi.org/10.1016/J.JOM.2008.08.001
]Search in Google Scholar
[
Ranjbari, M., Shams Esfandabadi, Z., Quatraro, F., Vatanparast, H., Lam, S. S., Aghbashlo, M., & Tabatabaei, M. (2022). Biomass and organic waste potentials towards implementing circular bioeconomy platforms: A systematic bibliometric analysis. Fuel, 318, 123585. https://doi.org/10.1016/J.FUEL.2022.123585
]Search in Google Scholar
[
Reis, W. F., Barreto, C. G., & Capelari, M. G. M. (2023). Circular Economy and Solid Waste Management: Connections from a Bibliometric Analysis. Sustainability 2023, Vol. 15, Page 15715, 15(22), 15715. https://doi.org/10.3390/SU152215715
]Search in Google Scholar
[
Rigby, D. (2011). Marketing the Future of Shopping. Harvard Business Review 89, no. 12: 64-+. WOS:000297092400035.
]Search in Google Scholar
[
Rosário, A. T., & Dias, J. C. (2022). Industry 4.0 and Marketing: Towards an Integrated Future Research Agenda. Journal of Sensor and Actuator Networks 2022, Vol. 11, Page 30, 11(3), 30. https://doi.org/10.3390/JSAN11030030
]Search in Google Scholar
[
Schiller, D. (1999). Digital Capitalism: Networking the Global Market System. The MIT Press. https://doi.org/10.7551/mitpress/2415.001.0001
]Search in Google Scholar
[
Soledispa-Cañarte, B. J., Pibaque-Pionce, M. S., Merchán-Ponce, N. P., Alvarez, D. C. M., Tovar-Quintero, J., Escobar-Molina, D. F., Cedeño-Ramírez, J. D., & Rincon-Guio, C. (2023). ADVANCING AGRIBUSINESS SUSTAINABILITY AND COMPETITIVENESS THROUGH LOGISTICS 4.0: A BIBLIOMETRIC AND SYSTEMATIC LITERATURE REVIEW. Logforum, 19(1), 155–168. https://doi.org/10.17270/J.LOG.2023.807
]Search in Google Scholar
[
Topol, E. M. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books. https://www.amazon.com/Deep-Medicine-Artificial-Intelligence-Healthcare/dp/1541644638
]Search in Google Scholar
[
Wang, J., Deng, H., Liu, B., Hu, A., Liang, J., Fan, L., Zheng, X., Wang, T., & Lei, J. (2020). Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: Bibliometric study on pubmed. Journal of Medical Internet Research, 22(1), e16816. https://doi.org/10.2196/16816
]Search in Google Scholar
[
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. In American Ethnologist (Issue 1). Cambridge University Press. https://www.asecib.ase.ro/mps/Social%20Network%20Analysis%20%5B1994%5D.pdf
]Search in Google Scholar
[
Webb, M. (2019). The Impact of Artificial Intelligence on the Labor Market. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.3482150
]Search in Google Scholar
[
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big Data in Smart Farming – A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/J.AGSY.2017.01.023
]Search in Google Scholar
[
Zhong, S., Geng, Y., Liu, W., Gao, C., & Chen, W. (2016). A bibliometric review on natural resource accounting during 1995–2014. Journal of Cleaner Production, 139, 122–132. https://doi.org/10.1016/J.JCLEPRO.2016.08.039
]Search in Google Scholar
