MA Hossin, J Du, L Mu, IO Asante - Sage Open, 2023 - journals.sagepub.com
Big data analytics (BDA) enhances knowledge and decision-making. Despite its importance, the connection between technical progress and political change is neglected in the …
The use of healthcare data analytics is anticipated to play a significant role in future public health policy formulation. Therefore, this study examines how big data analytics (BDA) may …
The public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of …
X Xie, H Zhang, C Blanco - International Journal of Entrepreneurial …, 2023 - emerald.com
Purpose Family businesses often lack sufficient knowledge about digital business model innovation digital business model innovation (BMI). This study's purpose was to analyze …
M Šestak, D Copot - Sustainability, 2023 - mdpi.com
In the modern agricultural landscape, realizing data's full potential requires a unified infrastructure where stakeholders collaborate and share their data to gain insights and …
V Vaira - 2022 IEEE International Smart Cities Conference …, 2022 - ieeexplore.ieee.org
This paper focuses on a compared analysis of the ongoing “platformization” and on the so- called Government-as-a-Platform (GaaP) approach applied to Smart City-paradigm …
M Hupperz, A Gieß - 2024 - scholarspace.manoa.hawaii.edu
This research paper highlights the relationship between data-driven organizations and data spaces and focuses on unlocking capabilities that can be used to transform organizations …
SIH Shah, A Abdulaal, V Peristeras - Proceedings of the 15th …, 2022 - dl.acm.org
The public sector, private firms, the business community, international trade organizations, international organizations, and civil society are generating, sharing, and utilizing big data …
Water resources are constantly threatened by pollution of potentially toxic elements (PTEs). In efforts to monitor and mitigate PTEs pollution in water resources, machine learning (ML) …