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Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017
. (2022). 
Assessing the Business Impact of Artificial Intelligence. In Proceedings of the 53rd Hawaii International Conference on System Sciences (3, 5170–5179). https://doi.org/10.24251/hicss.2020.635
. (2020). Competing with Robots: Firm-Level Evidence from France. Aea Papers And Proceedings, 110, 383–388. https://doi.org/10.1257/pandp.20201003
. (2020). The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation. Iza Discussion Paper Series. Retrieved de www.iza.org
. (2020). The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation. Iza Discussion Paper Series. Retrieved de www.iza.org
. (2020). The Future of Work: Meeting the Global Challenge of Demographic Change and Automation. International Labour Review, 1–28. https://doi.org/10.1111/ilr.12168
. (2020). The Future of Work: Meeting the Global Challenge of Demographic Change and Automation. International Labour Review, 1–28. https://doi.org/10.1111/ilr.12168
. (2020). Implementation of Artificial Intelligence (AI): A Roadmap for Business Model Innovation. Ai, 1, 180–191. https://doi.org/10.3390/ai1020011
. (2020). Key Advantages and Risks of Implementing Artificial Intelligence in the Activities of Professional Communicators. In Proceedings of the 2020 IEEE Communication Strategies in Digital Society Seminar, ComSDS 2020 (82–86). https://doi.org/10.1109/ComSDS49898.2020.9101238
. (2020). The Robot Economy : Here It Comes. International Journal Of Social Robotics. https://doi.org/10.1007/s12369-020-00686-1
. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The Tqm Journal, ahead-of-p. https://doi.org/10.1108/TQM-12-2019-0303
. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The Tqm Journal, ahead-of-p. https://doi.org/10.1108/TQM-12-2019-0303
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. (2019).
The ambiguous labor market impact of automating prediction. https://doi.org/10.3386/w25619
. (2019). Artificial intelligence and big data in entrepreneurship: a new era has begun. Small Business Economics. https://doi.org/10.1007/s11187-019-00202-4
. (2019). Artificial intelligence and the future of labor demand. https://doi.org/10.3386/w25682
. (2019). Artificial Intelligence and the Future of the Drug Safety Professional. Drug Safety, 42(4), 491 - 497. https://doi.org/10.1007/s40264-018-0746-z
. (2019). Artificial Intelligence and the Future of the Drug Safety Professional. Drug Safety, 42(4), 491 - 497. https://doi.org/10.1007/s40264-018-0746-z
. (2019). Automation and new tasks: How technology displaces and reinstates labor. https://doi.org/10.3386/w25684
. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019).