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DC Field | Value | Language |
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dc.contributor.author | Mazas Pérez-Oleaga, Cristina | - |
dc.contributor.author | Alexeeva Alexeev, Inna | - |
dc.date.accessioned | 2025-09-10T11:17:29Z | - |
dc.date.available | 2025-09-10T11:17:29Z | - |
dc.date.issued | 2025-04 | - |
dc.identifier.uri | https://irek.ase.md:443/xmlui/handle/123456789/4430 | - |
dc.description | MAZAS PÉREZ-OLEAGA, Cristina and Inna ALEXEEVA ALEXEEV. Innovation in firms review from a gender and internationalization perspective. Evidence from the WORLD BANK’S WBES. Online. In: International Scientific Conference on Accounting, ISCA 2025, 14 Edition: Collection of scientific articles = Conferinţa ştiinţifică internaţională de contabilitate, ISCA 2025, Ediţia a 14-a: Culegere de articole ştiinţifice, April 4-5 2025. Chişinău: [S. n.], 2025 (SEP ASEM), pp. 207-214. ISBN 978-9975-168-34-2 (PDF). Disponibil: https://doi.org/10.53486/isca2025.27 | en_US |
dc.description.abstract | Linear Discriminant Analysis (LDA) is used to identify the organizational, sectoral, innovation-related, and gender-based factors that best predict business investment in Research and Development (R&D) across a global sample of firms. Results show that variables related to product and process innovation, the Gender Equality in Governance Index (LGGGI), and the firm's sector play a key role in distinguishing companies that invest in R&D from those that do not. CZU: 658.152:001.895; JEL: C25, L26, O32, J16 | en_US |
dc.language.iso | en | en_US |
dc.publisher | ASEM | en_US |
dc.subject | WBES | en_US |
dc.subject | innovation | en_US |
dc.subject | R&D investment | en_US |
dc.subject | woman CEO | en_US |
dc.subject | woman owner | en_US |
dc.subject | Linear Discriminant Analysis (LDA) | en_US |
dc.title | Innovation in firms review from a gender and internationalization perspective. Evidence from the WORLD BANK’S WBES | en_US |
dc.type | Article | en_US |
Appears in Collections: | 2.Articole |
Files in This Item:
File | Description | Size | Format | |
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ISCA 2025_ pp 207-214.pdf | 543.92 kB | Adobe PDF | View/Open |
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