Do ESG and Diversity Scores Predict Global Firms’ Environmental Innovation?
Yazarlar (4)
Mehmet Bahri Saydam
Doğu Akdeniz Üniversitesi, Türkiye
Doğu Akdeniz Üniversitesi, Türkiye
Victor Oluwafemi Olorunsola
Eastern Mediterranean University, Türkiye
Eastern Mediterranean University, Türkiye
Doç. Dr. Hasan Evrim ARICI Kastamonu Üniversitesi, Türkiye
Mehmet Ali Köseoğlu
Metropolitan State University, Amerika Birleşik Devletleri
Metropolitan State University, Amerika Birleşik Devletleri
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Environment and Development (Q2) | ||
| Dergi ISSN | 1070-4965 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2024 |
| Cilt / Sayı / Sayfa | 33 / 3 / 410–442 | DOI | 10.1177/10704965241238292 |
| Makale Linki | http://dx.doi.org/10.1177/10704965241238292 | ||
| UAK Araştırma Alanları |
Otel İşletmeciliği
|
||
| Özet |
| Environmental innovation (EI) is fundamental to sustainable development goal (SDG) number 9. Indirectly, it contributes to the achievement of SDG 7 by laying the groundwork for producing renewable energy. Firms involve environmental, social, and governance (ESG) and diversity practices to achieve sustainable success. ESG and diversity scores on EI need to be predicted, yet EI predictors are few in the research. Our institutional theory-based study examines whether ESG and diversity scores influence EI scores in multinational organizations. The dataset comprises information from the Refinitiv Eikon database, including 430 publicly traded firms worldwide throughout 2021. The results of our study indicate that the environmental pillar score, ESG, and workforce score are the three most significant factors for calculating enterprises’ EI scores. This research provides valuable insights into enhancing sustainability … |
| Anahtar Kelimeler |
| diversity | environmental innovation | environmental, social, and governance scores | global firms | machine learning |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 8 |
| Scopus | 8 |
| Google Scholar | 10 |