Bibliometric Analysis of Sustainable Supply Chain Management Studies Cover Image

Sürdürülebilir tedarik zinciri yönetimi çalışmalarının bibliyometrik analizi
Bibliometric Analysis of Sustainable Supply Chain Management Studies

Author(s): Zeynep Ergen Işıklar, Ceren Yeşiltuna
Subject(s): Business Economy / Management, Library operations and management, Environmental and Energy policy, Marketing / Advertising, ICT Information and Communications Technologies
Published by: Arif YILDIZ
Keywords: Bibliometric Analysis; Sustainable Supply Chain Management; Supply Chain Management;

Summary/Abstract: Today, business processes carried out within the framework of sustainable policies have become a strategic tool for businesses to gain competitive advantage. In this context, we see how important sustainability is for the functions of a business. Innovations such as social responsibility, environmental awareness, climate change, etc. brought by social, economic and environmental transformation processes are among the most important factors that bring the concept of sustainability to the forefront. In supply chain management, businesses need to follow sustainable policies in order to create value for the customer and to establish long-term strategic relationships among the stakeholders of the chain. It is possible to say that the buyer-supplier relations built on the perception of sustainability in supply chain management also increase the performance of the long-term strategy plans of the businesses. All these situations have led to an increase in studies on sustainability. In this context, the main purpose of the study is to examine the theoretical framework of sustainable supply chain management and the studies carried out in this field since 2000 and to determine the trends in sustainable supply chain management by determining bibliometric features. In the study, 977 articles on Sustainable Supply Chain Management in the Web of Science database were examined within the framework of selected criteria and subjected to bibliometric analysis.

  • Issue Year: 5/2022
  • Issue No: 1
  • Page Range: 100-120
  • Page Count: 21
  • Language: Turkish