Evifa-Portal

Treffer pro Seite

Treffer 1 - 5 | 5 Treffer

Sortierung

Online-Ressource

Identifying artificial intelligence actors using online data (2023)

Dernis, Hélène [VerfasserIn] ; Calvino, Flavio [MitwirkendeR] ; Moussiegt, Laurent [MitwirkendeR] ; [weitere]

Paris : OECD Publishing

zur Merkliste hinzufügen auf der Merkliste

Details

Sprache: Englisch

Seiten: 1 Online-Ressource (50 p.) , 21 x 28cm.

Serie: OECD Science, Technology and Industry Working Papers no.2023/01

Schlagwort(e): Science and Technology ; Industry and Services

Kurzfassung: This paper uses information collected and provided by GlassAI to analyse the characteristics and activities of companies and universities in Canada, Germany, the United Kingdom and the United States that mention keywords related to Artificial Intelligence (AI) on their websites. The analysis finds that those companies tend to be young and small, mainly operate in the information and communication sector, have AI at the core of their business, and aim to provide customer solutions. It is noteworthy that the types of AI-related activities reported by them vary across sectors. Additionally, although universities are concentrated in and around large cities, this is not necessarily reflected in the intensity of AI-related activities. Taken together, this novel and timely evidence informs the debate on the most recent stages of digital transformation of the economy.

DOI: 10.1787/1f5307e7-en

URL: lizenzpflichtig

Permalink

Bibliothek	Standort	Signatur	Band/Heft/Jahr	Verfügbarkeit

Andere fanden auch interessant ...

Online-Ressource

MPI Ethno. Forsch.

Online-Ressource

Global value chain dependencies under the magnifying glass (2023)

Schwellnus, Cyrille [VerfasserIn] ; Haramboure, Antton [MitwirkendeR] ; Samek, Lea [MitwirkendeR] ; [weitere]

Paris : OECD Publishing

zur Merkliste hinzufügen auf der Merkliste

Details

Sprache: Englisch

Seiten: 1 Online-Ressource (41 p.) , 21 x 28cm.

Serie: OECD Science, Technology and Industry Policy Papers no.142

Schlagwort(e): Science and Technology ; Economics ; Trade ; Industry and Services

Kurzfassung: Policy makers are increasingly grappling with the stability implications of global value chains (GVCs), as widespread supply shortages following the COVID-19 pandemic and the Russian Federation’s large-scale aggression against Ukraine have disrupted the economic recovery and contributed to high inflation. This paper provides a tool to assess vulnerabilities in GVCs by drawing a detailed map of dependencies based on new indicators constructed from the OECD Inter-Country Input-Output tables. The key findings are as follows. First, GVC dependencies increase with both the size of foreign exposures and the length of foreign value chains. Second, in some industries, such as the automotive and ICT industries, vulnerabilities from high GVC dependence are amplified by high geographic concentration of suppliers or buyers. Third, the People’s Republic of China is the most critical choke point in GVCs across a broad range of industries, both as a dominant supplier and as a dominant buyer.

DOI: 10.1787/b2489065-en

URL: lizenzpflichtig

Permalink

Bibliothek	Standort	Signatur	Band/Heft/Jahr	Verfügbarkeit

Andere fanden auch interessant ...

Online-Ressource

MPI Ethno. Forsch.

Online-Ressource

Emerging trends in AI skill demand across 14 OECD countries (2023)

Borgonovi, Francesca [VerfasserIn] ; Calvino, Flavio [MitwirkendeR] ; Criscuolo, Chiara [MitwirkendeR] ; [weitere]

Paris : OECD Publishing

zur Merkliste hinzufügen auf der Merkliste

Details

Sprache: Englisch

Seiten: 1 Online-Ressource (64 p.) , 21 x 28cm.

Serie: OECD Artificial Intelligence Papers no.2

Schlagwort(e): Künstliche Intelligenz ; Qualifikation ; Arbeitsnachfrage ; OECD-Staaten ; Education ; Employment ; Science and Technology ; Industry and Services

Kurzfassung: This report analyses the demand for positions that require skills needed to develop or work with AI systems across 14 OECD countries between 2019 and 2022. It finds that, despite rapid growth in the demand for AI skills, AI-related online vacancies comprised less than 1% of all job postings and were predominantly found in sectors such as ICT and Professional Services. Skills related to Machine Learning were the most sought after. The US-focused part of the study reveals a consistent demand for socio-emotional, foundational, and technical skills across all AI employers. However, leading firms – those who posted the most AI jobs – exhibited a higher demand for AI professionals combining technical expertise with leadership, innovation, and problem-solving skills, underscoring the importance of these competencies in the AI field.

DOI: 10.1787/7c691b9a-en

URL: lizenzpflichtig

Permalink

Bibliothek	Standort	Signatur	Band/Heft/Jahr	Verfügbarkeit

Andere fanden auch interessant ...

Online-Ressource

MPI Ethno. Forsch.

Online-Ressource

Policies to strengthen the resilience of global value chains : Empirical evidence from the COVID-19 shock (2023)

Schwellnus, Cyrille [VerfasserIn] ; Haramboure, Antton [MitwirkendeR] ; Samek, Lea [MitwirkendeR]

Paris : OECD Publishing

zur Merkliste hinzufügen auf der Merkliste

Details

Sprache: Englisch

Seiten: 1 Online-Ressource (43 p.) , 21 x 28cm.

Serie: OECD Science, Technology and Industry Policy Papers no.141

Schlagwort(e): Science and Technology ; Economics ; Trade ; Industry and Services

Kurzfassung: Widespread supply disruptions in the wake of the COVID-19 pandemic and the Russian Federation’s large-scale aggression against Ukraine have raised concerns among policy makers that globalised value chains expose domestic production to shocks from abroad. This paper uses new indicators of global value chain dependencies and exogenous pandemic shocks to econometrically estimate the effects of supply disruptions abroad on domestic output. The results suggest that the adverse effects of supply disruptions are particularly large when concentration of supplying countries and supplying firms is high. Counterfactual simulations of the econometric model suggest that diversification of suppliers would have sizeable benefits in terms of shielding domestic production against country-specific supply shocks, with partial onshoring of production having only small additional benefits. Technological innovation that reduces foreign dependencies, such as the substitution of renewable energies for fossil fuels, can have similar benefits as diversification.

DOI: 10.1787/fd82abd4-en

URL: lizenzpflichtig

Permalink

Bibliothek	Standort	Signatur	Band/Heft/Jahr	Verfügbarkeit

Andere fanden auch interessant ...

Online-Ressource

MPI Ethno. Forsch.

Online-Ressource

Identifying and characterising AI adopters : A novel approach based on big data (2022)

Calvino, Flavio [VerfasserIn] ; Samek, Lea [MitwirkendeR] ; Squicciarini, Mariagrazia [MitwirkendeR] ; [weitere]

Paris : OECD Publishing

zur Merkliste hinzufügen auf der Merkliste

Details

Sprache: Englisch

Seiten: 1 Online-Ressource (67 p.) , 21 x 28cm.

Serie: OECD Science, Technology and Industry Working Papers no.2022/06

Schlagwort(e): Science and Technology ; Industry and Services

Kurzfassung: This work employs a novel approach to identify and characterise firms adopting Artificial Intelligence (AI), using different sources of large microdata. Focusing on the United Kingdom, the analysis combines data on Intellectual Property Rights, website information, online job postings, and firm-level financials for the first time. It shows that a significant share of AI adopters is active in Information and Communication Technologies and professional services, and is located in the South of the United Kingdom, particularly around London. Adopters tend to be highly productive and larger than other firms, while young adopters tend to hire AI workers more intensively. Human capital appears to play an important role, not only for AI adoption but also for firms’ productivity returns. Significant differences in the characteristics of AI adopters emerge when distinguishing between firms carrying out AI innovation, those with an AI core business, and those searching for AI talent.

DOI: 10.1787/154981d7-en

URL: lizenzpflichtig

Permalink

Bibliothek	Standort	Signatur	Band/Heft/Jahr	Verfügbarkeit

Andere fanden auch interessant ...

Online-Ressource

MPI Ethno. Forsch.

Treffer 1 - 5 | 5 Treffer