Affiliation:
1. Informações em Rede Consultoria e Treinamento, Brazil
Abstract
In this chapter, the author aim to approach new ways to understand how emerging technologies can better be applied in organizational contexts. For this purpose, collaborative methodological approaches were addressed—multi, inter, and transdisciplinary paradigms—aiming to promote a better level both of comprehension and adoption of technologies, paying special attention to the healthcare sector and to the One Health initiative, just defined as an interdisciplinary front. As an overall goal for the chapter, the adoption of those methodological principles is advised to the reader, enabling a better understanding of those technologies and their way to be effectively implemented.
Reference73 articles.
1. Knowledge Levels and their Transformation: Towards the Integration of Knowledge Creation and Individual Learning*
2. Efficient Machine Learning for Big Data: A Review
3. Alteryx: The magic quadrant of data science and machine learning. (2021). Disponível em https://www.alteryx.com/third-party-content/gartner-magic-quadrant-data-science-machine-learning
4. Multidisciplinarity, Interdisciplinarity, Transdisciplinarity, and the Sciences
5. AWS – Amazon Web Cloud services. (2020). Free Tier for cloud computing services. Disponível em https://aws.amazon.com/products/storage/?nc2=h_ql_prod_st
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Scientific Field in Formation;Advances in Business Information Systems and Analytics;2023-04-28