[HTML][HTML] Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency

M Coccia - AIMS Public Health, 2023 - ncbi.nlm.nih.gov
Scholars and experts argue that future pandemics and/or epidemics are inevitable events,
and the problem is not whether they will occur, but when a new health emergency will …

IoT technologies for livestock management: a review of present status, opportunities, and future trends

BI Akhigbe, K Munir, O Akinade, L Akanbi… - Big data and cognitive …, 2021 - mdpi.com
The world population currently stands at about 7 billion amidst an expected increase in 2030
from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to …

Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID

M Coccia - Science of the Total Environment, 2020 - Elsevier
This study has two goals. The first is to explain the geo-environmental determinants of the
accelerated diffusion of COVID-19 that is generating a high level of deaths. The second is to …

Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors

J Liu, H Chang, JYL Forrest, B Yang - Technological Forecasting and Social …, 2020 - Elsevier
This paper analyzes the impact of artificial intelligence (AI) on technological innovation
through logic reasoning and empirical modeling. Based on the industrial robot data provided …

[HTML][HTML] High potential of technology to face new respiratory viruses: mechanical ventilation devices for effective healthcare to next pandemic emergencies

M Coccia - Technology in Society, 2023 - Elsevier
Some countries in the presence of unforeseen Coronavirus Disease 2019 (COVID-19)
pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have …

Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence

M Coccia - Technology in Society, 2020 - Elsevier
The goal of this study is to show emerging applications of deep learning technology in
cancer imaging. Deep learning technology is a family of computational methods that allow …

The Fishbone diagram to identify, systematize and analyze the sources of general purpose Technologies

M Coccia - Journal of Social and Administrative Sciences, 2018 - papers.ssrn.com
This study suggests the fishbone diagram for technological analysis. Fishbone diagram
(also called Ishikawa diagrams or cause-and-effect diagrams) is a graphical technique to …

Sources of technological innovation: Radical and incremental innovation problem-driven to support competitive advantage of firms

M Coccia - Technology Analysis & Strategic Management, 2017 - Taylor & Francis
ABSTRACT A fundamental problem in the field of management of technology is how firms
develop radical and incremental innovations that sustain the competitive advantage in …

[HTML][HTML] New Perspectives in Innovation Failure Analysis: A taxonomy of general errors and strategic management for reducing risks

M Coccia - Technology in Society, 2023 - Elsevier
In turbulent environments, one of the fundamental problems is the high risk of failure in new
innovation projects that affects organizational behaviour and performance of firms and also …

Probability of discoveries between research fields to explain scientific and technological change

M Coccia - Technology in Society, 2022 - Elsevier
One of the fundamental problems in science is the understanding of discovery and
innovation process to explain scientific and technological change in society. The study …