Experimental Data and Analysis for Integrating Behavioral Risk Perception into Data-Driven Decision Support System for Supplier Selection
Description
This dataset contains the computational materials supporting the analysis presented in the accompanying research article. The study is based on the publicly available Supply Chain DataSet provided by Amir Motefaker on Kaggle. The dataset is used as the input for a multi-criteria decision-making analysis of supply chain alternatives. The accompanying Jupyter Notebook (analysis.ipynb) contains the complete data-processing and computational workflow, including data preprocessing, selection of relevant alternatives and criteria, calculations, and generation of the results presented in the manuscript. The original dataset is available from Kaggle: https://www.kaggle.com/datasets/amirmotefaker/supply-chain-dataset Users wishing to reproduce the analysis should obtain the original dataset directly from the source and comply with the license and terms specified by the original data provider.
Files
Steps to reproduce
1. Download the original Supply Chain DataSet from Kaggle. 2. Place the downloaded dataset in the directory specified in analysis.ipynb. 3. Install Python and the required dependencies. 4. Open analysis.ipynb using Jupyter Notebook or JupyterLab. 5. Run all cells sequentially from the beginning to the end. 6. The notebook performs the required data preprocessing and computational analysis. 7. The resulting tables, statistics, figures, and other outputs correspond to the analyses reported in the accompanying manuscript.
Institutions
- National Institute of TelecommunicationsMazovia, Warsaw