Industry 4.0: Costa Rica’s State-Of-The-Art in relation to Technology and Value Addition
DOI:
https://doi.org/10.48132/hdbr.344Keywords:
Industry 4.0, technology, value added, Costa RicaAbstract
The main objective of this investigation is to describe the current landscape of Industry 4.0 in Costa Rica. Industry 4.0 is a combination of technologies, such as robotics, big data, the Internet of Things (IoT), and artificial intelligence (AI). Latin America has mostly focused on the development of IoT technology. Costa Rica ranks second in terms of IoT implementation, with a strong focus on environmentally sustainable innovations.
New technologies emerge daily, and the IoT is among these technologies. Thus, after comparing Costa Rica with other countries and regions, there are several areas of opportunity to upscale these revolutionary technologies beyond the IoT. The government of Costa Rica and local businesses should work on a joint roadmap to upskill the population on using these technologies. Additionally, this research provides resources and opportunities for experimentation through design thinking, allowing more innovation creation based on trial and error to find the best solutions to implement to add value.
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References
Apuy, E. J. (2019). Perfil de la oferta costarricense especializada en tecnologías 4.0. Dirección de inteligencia artificial. Retrieved from: https://sistemas.procomer.go.cr/DocsSEM/20A998F7-39C0-4B39-99AC-083233A2367A.pdf
Chinchilla Bravo, N. (2019). TEC Emprende Lab se alía con Auge para fortalecer emprendimientos de base tecnológica. Hoy en el TEC. 7 February. Retrieved from: https://www.tec.ac.cr/hoyeneltec/2019/02/07/tec-emprende-lab-se-alia-auge-fortalecer-emprendimientos-base-tecnologica
Deloitte. (2018). IoT para el Sector Empresarial en América Latina. Centro de Estudios de Telecomunicaciones de América Latina. Retrieved from: https://cet.la/estudios/cet-la/iot-sector-empresarial-america-latina/
Eakin, H., & Lemos, M. C. (2006). Adaptation and the state: Latin America and the challenge of capacity-building under globalization. Global Environmental Change, 16(1), 7–18. https://doi.org/10.1016/j.gloenvcha.2005.10.004 DOI: https://doi.org/10.1016/j.gloenvcha.2005.10.004
Fabrigar, L. R., Wegener, D. T., Maccallum, R. C., & Strahan, E. J. (1999). Evaluating the Use of Exploratory Factor Analysis in Psychological Research. Psychological Methods, 4(3). https://doi.org/10.1037/1082-989X.4.3.272 DOI: https://doi.org/10.1037/1082-989X.4.3.272
Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14(4), 419–422. https://doi.org/10.1016/j.dsx.2020.04.032 DOI: https://doi.org/10.1016/j.dsx.2020.04.032
Li, R., Wang, W., Chen, Z., Jiang, J., & Zhang, W. (2017). A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches. Energies, 10(11), 1715. https://doi.org/10.3390/en10111715 DOI: https://doi.org/10.3390/en10111715
Mendoza P., M. A., & Cuellar, S. (2020). Industry 4.0: Latin America SMEs Challenges. Congreso Internacional de Innovacion y Tendencias en Ingenieria CONIITI 2020. https://doi.org/10.1109/CONIITI51147.2020.9240428 DOI: https://doi.org/10.1109/CONIITI51147.2020.9240428
Nadler, G. (1967). An Investigation of Design Methodology. Management Science, 13(10), B642-B655. https://doi.org/10.1287/mnsc.13.10.b642 DOI: https://doi.org/10.1287/mnsc.13.10.B642
Oxford Insights (2020). Government AI Readiness Index 2020. Retrieved from: https://static1.squarespace.com/static/58b2e92c1e5b6c828058484e/t/5f7747f29ca3c20ecb598f7c/1601653137399/AI+Readiness+Report.pdf
Ritchie, J., Lewis, J., McNaughton Nicholls, C., & Ormston, R. (2013). Qualitative research practice: A guide for social science students and researchers. 2nd edition. SAGE Publications Ltd.
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52, 161–166. https://doi.org/10.1016/j.procir.2016.07.040 DOI: https://doi.org/10.1016/j.procir.2016.07.040
Ustundag, A., & Cevikcan, E. (2018). Industry 4.0: Managing The Digital Transformation. Springer International Publishing. https://doi.org/10.1007/978-3-319-57870-5 DOI: https://doi.org/10.1007/978-3-319-57870-5
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