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[...] Managing innovation: Integrating technological, market and organizational change (3rd ed.). John Wiley & Sons. Topol, E. J. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books. Tushman, M. L., & O'Reilly, C. A. (1996). The Ambidextrous Organizations: Managing Evolutionary and Revolutionary Change. California Management Review, 8-30. UNESCO (1997). Evaluation Report of the UNESCO Programme for the Promotion of Crafts from 1990 to 1998: Final Evaluation Report (CLT-2000/WS/2). [...]
[...] Digital Technologies and Craft Guo and Yu (2022) explore how Big Data technology can transform the traditional industry, particularly in the fashion domain. The authors highlight that data analysis provides a better understanding of consumer trends and client preferences, which helps designers create models that are more in line with market expectations. According to them, process optimization also enables the prediction of raw material needs and the rationalization of supply chains. Guo and Yu (2022) also indicate that Big Data enables the personalization of products based on individual tastes, while also allowing traditional designs to be adapted to modern trends without altering their cultural essence. [...]
[...] Oksala et Orel (2022) analyze how technological innovations influence craftsmanship and design. For these authors, 3D printers and design software enable the creation of models and prototypes and offer artisans new possibilities to express their creativity and perfect their work. Orel (2022) estimates that traditional industry has two main characteristics : the hidden know-how and ambient craftsmanship. Tacit knowledge is a form of knowledge that is not directly objectifiable or codifiable, but rather inherited from past artisans. This knowledge is perceived as a residue of ancient artisanal traditions, despite the progressive separation between design and craftsmanship (Oksala and Orel, 2022). [...]
[...] M., Swiergosz, A. M., Haeberle, H. S., Karnuta, J. M., Schaffer, J. L., Krebs, V. E., Spitzer, A. I., & Ramkumar, P. N. (2020). Machine learning and artificial intelligence: Definitions, applications, and future directions. Current Reviews in Musculoskeletal Medicine, 69-76. Joshi, A. V. (2020). Introduction to AI and ML. [...]
[...] Business & Information Systems Engineering, 239-242. Maddyness, (2019). Which incubator / accelerator to choose for its startup ? https://www.maddyness.com/2020/01/03/quel-incubateur-accelerateur-choisir-pour-sa-startup/ Marx, K. (1867). Das Kapital: Critique of Political Economy. Verlag von Otto Meissner. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Byers, A., & Roxburgh, C. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. https://www.researchgate.net/publication/312596137_Big_data_The_next_frontier_for_innovation_competition_and_productivity Manyika, J., Lund, S., Bughin, J., Woetzel, J., Stamenov, K., & Dhingra, D. (2016). Digital globalization: The new era of global flows. [...]
