Many organizations tried to accelerate their digital transformation, but some of them failed, possibly due to poor governance. Previously the influence of ambidextrous IT governance …
C Liu, G Peng, Y Kong, S Li, S Chen - Symmetry, 2021 - mdpi.com
Recent years have seen a growing call for use of big data analytics techniques to support the realisation of symmetries and simulations in digital twins and smart factories, in which …
Digitalization in manufacturing can help the firm to improve output and reduce costs. This work reports on the development, testing, and validation of an instrument to measure the …
In research, industrial case studies are a possibility to collect information about complex phenomena from the environment where they occur. Digital transformation (DT) is a complex …
Accelerating digital transformation is imperative for incumbent organizations facing technological disruptions, fierce competition, and shifting customer behavior. However …
Cross-organizational data sharing has emerged as a significant driver in the data economy. Data spaces are one approach for data sharing due to the integrated possibility of achieving …
CA Bassi, SNA Souza - IC3K 2023: Proceedings, 2023 - repositorio.usp.br
Implementing an efficient data governance program implies overcoming a series of identified challenges. Reviewing the scope of publications of case studies (CS) of Data …
A Governança de Dados (GD) tem se tornado um tema de destacada importância nas organizações modernas, uma vez que a quantidade e a complexidade dos dados gerados …
J Cai, L Ren, W Qin, L Zhang, L Lai - 2023 - cal-tek.eu
Multi-view heterogeneous data in the manufacturing industry contains a wealth of information, and comprehensive analysis is needed to discover potential regularities and …