Araştırma Makalesi

Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies

Cilt: 9 Sayı: 2026 15 Eylül 2026
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Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies

Öz

Emerging global environmental challenges make the shift toward circular economy (CE) strategies imperative; nevertheless, there has been limited evidence about the relationships between multidimensional sustainability and CE in emerging markets. In the current research, the disclosure mechanisms of CE and sustainability in Turkish manufacturing sectors in the Borsa Istanbul Sustainability Index are explored. By employing a two-stage methodology, we first carry out bibliometrics based on 4,839 published papers to introduce analytical frameworks. Subsequently, through TF-IDF weighting and K-means analysis of corporate sustainability reports in four manufacturing sectors from 2021 to 2023 in Türkiye, we carry out network analysis as part of our methodology. The findings reveal asymmetric three-pillar integration patterns and distinct sectoral differences, where sectors consuming greater resources target waste management and energy utilization, contrariwise to sectors interacting with consumers who target product reuse and lifecycle extension. Additionally, networks mapping sustainability-CE relationships denote close linkages between both environmental and emerging relationships in both economic and governance aspects. The current research significantly contributes to theory by explaining the sustainability-CE interrelationship in emerging markets, validating forthcoming methodologies quantitatively in the analysis process, and providing practical insights for adopting circular transitions in these markets.

Anahtar Kelimeler

Kaynakça

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  2. Aithal, S., Aithal, P.S., 2023. Importance of circular economy for resource optimization in various industry sectors – a review-based opportunity analysis, SSRN Electron. J. https://doi.org/10.2139/ssrn.4575631
  3. Akbari, M., Hopkins, J., 2022. Digital technologies as enablers of supply chain sustainability in an emerging economy. Operations Management Research, 15(3-4), 689-710. https://doi.org/10.1007/s12063-021-00226-8
  4. Altan, A., Beyca, Ö., Zaim, S., 2024. Link between digital technologies adoption and sustainability performance: supply chain traceability/resilience or circular economy practices. Sustainability, 16(19), 8694. https://doi.org/10.3390/su16198694
  5. Arpin, M., Leclerc, S., Lonca, G., 2024. The circular economy (ce) rebound as a paradox of knowledge: forecasting the future of the ce--iot nexus through the global e-waste crisis. Sustainability, 16(15), 6364. https://doi.org/10.3390/su16156364
  6. Bashynska, I., Malynovska, Y., Kolinko, N., Bielialov, T., Järvis, M., Kovalska, K., ... Саєнсус, М., 2024. Performance assessment of sustainable leadership of enterprise's circular economy-driven innovative activities. Sustainability, 16(2), 558. https://doi.org/10.3390/su16020558
  7. Blomsma F., Brennan G., 2017. The emergence of Circular Economy: a New Framing around Prolonging Resource Productivity. Journal of Industrial Ecology. 21:603–614. https://doi.org/10.1111/jiec.12603
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Makine Öğrenme (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Eylül 2026

Gönderilme Tarihi

10 Şubat 2026

Kabul Tarihi

3 Haziran 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 9 Sayı: 2026

Kaynak Göster

APA
Areta Hızıroğlu, O., Avvad, H., & Kurt Cihangir, Ç. (2026). Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies. Journal of Intelligent Systems: Theory and Applications, 9(2026), 1-23. https://doi.org/10.38016/jista.1886367
AMA
1.Areta Hızıroğlu O, Avvad H, Kurt Cihangir Ç. Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies. jista. 2026;9(2026):1-23. doi:10.38016/jista.1886367
Chicago
Areta Hızıroğlu, Ouranıa, Hunaıda Avvad, ve Çiğdem Kurt Cihangir. 2026. “Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies”. Journal of Intelligent Systems: Theory and Applications 9 (2026): 1-23. https://doi.org/10.38016/jista.1886367.
EndNote
Areta Hızıroğlu O, Avvad H, Kurt Cihangir Ç (01 Eylül 2026) Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies. Journal of Intelligent Systems: Theory and Applications 9 2026 1–23.
IEEE
[1]O. Areta Hızıroğlu, H. Avvad, ve Ç. Kurt Cihangir, “Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies”, jista, c. 9, sy 2026, ss. 1–23, Eyl. 2026, doi: 10.38016/jista.1886367.
ISNAD
Areta Hızıroğlu, Ouranıa - Avvad, Hunaıda - Kurt Cihangir, Çiğdem. “Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies”. Journal of Intelligent Systems: Theory and Applications 9/2026 (01 Eylül 2026): 1-23. https://doi.org/10.38016/jista.1886367.
JAMA
1.Areta Hızıroğlu O, Avvad H, Kurt Cihangir Ç. Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies. jista. 2026;9:1–23.
MLA
Areta Hızıroğlu, Ouranıa, vd. “Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies”. Journal of Intelligent Systems: Theory and Applications, c. 9, sy 2026, Eylül 2026, ss. 1-23, doi:10.38016/jista.1886367.
Vancouver
1.Ouranıa Areta Hızıroğlu, Hunaıda Avvad, Çiğdem Kurt Cihangir. Circular Economy and Sustainability Integration in Emerging Markets: A Machine Learning-Based Content Analysis of Borsa Istanbul Companies. jista. 01 Eylül 2026;9(2026):1-23. doi:10.38016/jista.1886367

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