Critical success factor analysis of blockchain technology in agri-food supply chain management: A circular economy perspective.

In the sustainability system, which gives importance to the availability of resources, recycling, renewal, and reproduction strategies can be handled under the name of the circular economy. While there are many stages to be followed from food production to consumption and even recycling, one of the technologies that will contribute to the circular economy that can take an active role in these stages is blockchain technology. In this study, which is about the circular economy in sustainable supply chain management, the contribution of blockchain technology to agri-food supply chain management is discussed. The aim of the study is to research, analyze and prioritize the critical success factors of the use of blockchain technology for the agri-food sector on the way to the circular economy. As a first step, with the help of PESTEL analysis approach, 12 critical success factors for agri-food supply chain management under the political, economic, social, technological, environmental, and legal dimensions of blockchain technology within the scope of circular economy are determined. Analytic Network Process (ANP) and MultiAtributive Ideal-Real Comparative Analysis (MAIRCA) methods are used in an integrated way to consider the degree of influence between the factors and to determine the ideal optimal factor. In the results, it is determined that the political and technological sub-criteria of blockchain technology is determined, and it is observed that the criteria handled in line with the sustainability system are compatible with the perspective of reducing the waste of resources of the circular economy. If blockchain technology is used in the agri-food sector, it has been determined that it will contribute to the circular economy with the success factors in this study. "Ability to prevent food waste"; "Increased food security"; "Product lifecycle tracking" factors take priority in their ranking.

Assessment of the logistics activities with a structural model on the basis of improvement of sustainability performance.

The rationale for prioritizing sustainability in our world, where climate change and unplanned population growth have increased noticeably and resources are exhausted, has affected almost every sector. The logistics sector, which is one of these sectors and undoubtedly directly affects the living resources, constitutes the subject of our study. The study deals with the logistics activities carried out by the companies on the basis of sustainability and the aim of the article is to provide a framework that will contribute to the sustainability initiative of the companies carrying out logistics activities. It provides gains to the literature by investigating the important factors that greatly affect the performance of logistics activities. Accordingly, logistics activities are detailed under the titles of environmental impact, waste management, transportation and warehouse management, resource usage, social impact, internal factors, external factors, and logistics performance factors. These titles are the main dimensions that emerged as a result of literature research and expert opinions. The most important sub-criteria that affect the sustainable logistics performance, which are handled within the scope of the main dimensions, have been determined as 44 with Pareto analysis. These determined parameters are analyzed with the formation of a comprehensive structural model and their importance levels are interpreted, and the findings are interpreted. It is compared with the DEMATEL method. The results of this study, in which sustainable logistics practices are at the forefront, form the basis for improving the sustainability performance of the logistics sector.

Sustainability assessment with structural equation modeling in fresh food supply chain management.

The aim of this study is to determine the dimensions that affect the sustainability performance of the fresh vegetable and fruit supply chain and to determine the performance that occurs along the chain line. In this study conducted for the fresh fruit and vegetable sector, it is desirable to measure each dimension by finding the performance indices of sustainable supply chain management. Dimensions of this study include supply chain management, resource management, food safety, packaging, and waste management. For these five dimensions gathered from the literature and expert opinions, 26 sub-criteria are determined for use in performance evaluation. Structural equation modeling (SEM) and analytical hierarchy process (AHP) methods are used together to calculate the performance index of each dimension and then to obtain a final fresh vegetable and fruit supply chain performance score. This study has been performed in Turkey. Turkey, between the countries of the world, is located in the top 5 in the fruit and vegetable production. The performance of the five different dimensions is calculated. In this performance assessment, supply chain management dimension is calculated as the highest performance with a score of 91.22%. The lowest performance index score as 66.77% is the waste management dimension. The final sustainable fresh fruit and vegetable supply chain performance score is calculated as 79.96%. In addition to the limited performance evaluation studies in the sustainable supply chain, the fact that this study deals with the food chain, modeling and creating a final performance demonstrates the innovative aspect of the study. Attention is also drawn to the parameters that need to be addressed for more sustainable food.