Radical Change and Dominant Character of Digital Transformation in Artificial Intelligence Entrepreneurship in Less Innovative Economies-Reference-Cited by-同舟云学术

Radical Change and Dominant Character of Digital Transformation in Artificial Intelligence Entrepreneurship in Less Innovative Economies

Published:2024-03-27 Issue: Volume: Page:
ISSN:1868-7865
Container-title:Journal of the Knowledge Economy
language:en
Short-container-title:J Knowl Econ

Author:

Bustamante Rafael Palacios,Pérez Xochitl Margarita Cruz^ORCID,del Pilar Escott-Mota María^ORCID

Abstract

AbstractThe company’s rapid adaptation to digital transformation (DT) both in the most innovative economies and in the less innovative economies is one of the topics that keeps the field of innovation studies very busy but also governments. The artificial intelligence (AI) sector is one of the areas that is having the greatest degree of influence due to the effects of DT. While it is true that with DT these companies have a high potential for innovation, it is also true that their business models require a permanent readaptation process with the dynamics and complexity of technological changes. This research contributes to help companies to understand the complexity and dynamics of DT. Through a set of configurations based on the qualitative comparative analysis (QCA) method, it is possible to identify the positioning of the companies in the artificial intelligence sector in relation to this technological pattern. One of the most relevant conclusions is that the construction of configurations related to radical changes allows companies to observe the complexity and dynamics of these changes.

Funder

BSP Business and Law School - Hochschule für Management und Recht GmbH

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13132-024-01807-1.pdf

Reference115 articles.

1. Agudelo, M., Chomali, E., Suniaga, J., Núñez, G., Jordán, V., Rojas, F., et al. (2020). Las oportunidades de la digitalización en América Latina frente al Covid-19. CAF. Retrieved from https://scioteca.caf.com/handle/123456789/1541

2. Albrieu, R., Rapetti, M., Brest López, C., Larroulet, P., & Sorrentino, A. (2019). Inteligencia artificial y crecimiento económico. in Oportunidades y desafíos para Costa Rica. Cippec. Recovered from https://bit.ly/2RWpwrb

3. Alofan, F., Chen, S., & Tan, H. (2020). National cultural distance, organizational culture, and adaptation of management innovations in foreign subsidiaries: A fuzzy set analysis of TQM implementation in Saudi Arabia. Journal of Business Research, 109, c184–c199.

4. Álvarez-Castañón, L. C., Estrada-Rodríguez, & S. y Palacios-Bustamante, R. (2018). El sistema de innovación ante el reto del desarrollo en la región del Bajío mexicano. En L.C. Álvarez-Castañon y M.E. De la Rosa-Leal (coords.) Veredas del Desarrollo Regional Sost (pp. 59–83).

5. Álvarez-Castañón, L., Coronado-Ramírez, J., & Cárcano-Solis, M. -L. (2016). Redes de Innovación Tecnológica en Guanajuato: Experiencias de Cooperación Ciencia-industria Local. En J. Rodríguez, L. Àlvarez-Castanon, D. Tagle, J. Coronado (Editores), Desarrollo desde lo Local y Dinámicas Territoriales, pp 241–261).