Lidija Kraujalienė
Biographic Data
| ID | 6883179 |
|---|---|
| NAME | Lidija Kraujalienė |
| GIVEN NAMES | Lidija |
| FAMILY NAME | Kraujalienė |
| SIGNATURE | KRAUJALIENĖ L |
| AFFILIATIONS | Vilnius Gediminas Technical University |
| ORCID | 0000-0002-8769-8338 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Drivers of carbon emissions in the era of artificial intelligence
This research is driven by the absence of a unified consensus regarding the relationship between artificial intelligence, energy consumption, and economic growth and their impact on CO2 emissions. Not clear whether AI increases or decreases CO2. The novelty – identification of the two-way causal link between the implementation of AI and carbon emissions, a dynamic not previously confirmed in the literature. The originality – the model tested on a…
Multimoora as the Instrument to Evaluate the Technology Transfer Process in Higher Education Institutions
This paper is presenting the model to assess the technology transfer (TT) process economic performance of universities.The main indicators were identified and empirical research with MULTIMOORA tool was performed on 7 Lithuanian state-funded universities.The data was gathered from the Research Council of Lithuania official public report for the period of [2012][2013][2014].The research results show that MULTIMOORA tool fits to evaluate the TT pro…
No prominent works on this page.
Multimoora as the Instrument to Evaluate the Technology Transfer Process in Higher Education Institutions
This paper is presenting the model to assess the technology transfer (TT) process economic performance of universities.The main indicators were identified and empirical research with MULTIMOORA tool was performed on 7 Lithuanian state-funded universities.The data was gathered from the Research Council of Lithuania official public report for the period of [2012][2013][2014].The research results show that MULTIMOORA tool fits to evaluate the TT pro…
Drivers of carbon emissions in the era of artificial intelligence
This research is driven by the absence of a unified consensus regarding the relationship between artificial intelligence, energy consumption, and economic growth and their impact on CO2 emissions. Not clear whether AI increases or decreases CO2. The novelty – identification of the two-way causal link between the implementation of AI and carbon emissions, a dynamic not previously confirmed in the literature. The originality – the model tested on a…
Business (1 work) · Computer Science (1 work) · COVID-19 impact on air quality (1 work) · Economic growth (1 work) · Economics (1 work) · Empirical research (1 work) · Energy consumption (1 work) · Energy, Environment, and Transportation Policies (1 work) · Energy, Environment, Economic Growth (1 work) · Engineering (1 work)