Dergiler / Ege Akademik Bakış / 2020 / Cilt: 20 - Sayı: 2

An Assessment of the Barriers to Social Dimension of SSCM Practice Implementation Using Fuzzy DEMATEL Approach: A Case from Turkey

Sayfa
75–89
Yayın Tarihi
2022-10-12
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Thebarrier having the most impact on other barriers was determined as “Lack of State Support” and the barrier whichwas affected most by other barriers is “Low price demand of the community (B6)”.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The Sustainable Supply Chain Management (SSCM) concept, which establishes a balance between economic, socialand environmental dimensions, provides an extremely important conceptual framework for companies.
📊
Temel Bulgular & Veri:As a result of theanalysis, the first major barrier is defined as “Stakeholders’ Negative Influence (B12)”, the second barrier as “Lack ofCulture without Engagement and Support (B8)”, and the third one as “Ignoring the Rights of Stakeholders (B13)”.
💡
Sonuç & Katkı:Thebarrier having the most impact on other barriers was determined as “Lack of State Support” and the barrier whichwas affected most by other barriers is “Low price demand of the community (B6)”.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

The Sustainable Supply Chain Management (SSCM) concept, which establishes a balance between economic, socialand environmental dimensions, provides an extremely important conceptual framework for companies. Although notall of these dimensions have the same significance, researchers mostly focus on economic and environmental aspects.However, it is very difficult to apply the social dimension in the adoption of SSCM due to the barriers encountered inSSCM. Based on this, this paper aims to analyze the social barriers and identify the relationship between the barrierswith the help of Fuzzy DEMATEL. In this study, thirteen barriers to analysis have been determined. As a result of theanalysis, the first major barrier is defined as “Stakeholders’ Negative Influence (B12)”, the second barrier as “Lack ofCulture without Engagement and Support (B8)”, and the third one as “Ignoring the Rights of Stakeholders (B13)”. Thebarrier having the most impact on other barriers was determined as “Lack of State Support” and the barrier whichwas affected most by other barriers is “Low price demand of the community (B6)”.

🔖

Bu Makaleye Atıf Yap

KOCA, G., MATHİYAZHAGAN, K. (2022). An Assessment of the Barriers to Social Dimension of SSCM Practice Implementation Using Fuzzy DEMATEL Approach: A Case from Turkey. Ege Akademik Bakış, Cilt: 20 - Sayı: 2, 75–89. https://ajindex.com/articles/495114

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (13)

  1. Ahmadi, H. B., Kusi-Sarpong, S., & Rezaei, J. (2017). Assessing the social sustainability of supply chains using Best Worst Method. Resources, Conservation and Recycling, 126, 99-106.
  2. Al Zaabi, S., Al Dhaheri, N., & Diabat, A. (2013). Analysis of interaction between the barriers for the implementation of sustainable supply chain management. The International Journal of Advanced Manufacturing Technology, 68(1-4), 895-905.
  3. Al Khidir, T., & Zailani, S. (2009). Going green in supply chain towards environmental sustainability. Global Journal of Environmental Research, 3(3), 246-251.
  4. Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing, 12(6), 1668-1677.
  5. Ashby, A., Leat, M., & Hudson-Smith, M. (2012). Making connections: a review of supply chain management and sustainability literature. Supply Chain Management: An International Journal, 17(5), 497-516.
  6. Azadnia, A. H., Saman, M. Z. M., & Wong, K. Y. (2015). Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process. International Journal of Production Research, 53(2), 383-408.
  7. Bai, C., & Sarkis, J. (2010). Integrating sustainability into supplier selection with grey system and rough set methodologies. International Journal of Production Economics, 124(1), 252-264.
  8. Behdioglu, S., & Koca, G. (2017). Green Supply Chain Initiatives In Turkish Automotive Main Industry. Journal of Strategic Research in Social Science, 3(3), 177-188.
  9. Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: moving toward new theory. International journal of physical distribution & logistics management, 38(5), 360-387.
  10. Dalalah, D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert systems with applications, 38(7), 8384-8391.
  11. Fontaine, C., Haarman, A., & Schmid, S. (2006). The stakeholder theory. Edlays education, 1, 1-33.
  12. Govindan, K., Khodaverdi, R., & Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner production, 47, 345-354.
  13. Govindan, K., Jafarian, A., Khodaverdi, R., & Devika, K. (2014a). Two-echelon multiple-vehicle location– routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Produc