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                <identifier>oai:data.mendeley.com/4f9ymrd4f7.1</identifier>
                <datestamp>2026-08-24T13:06:08Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Więckowski, Jakub</dc:creator>
    <dc:title>Experimental Data and Analysis for Integrating Behavioral Risk Perception into Data-Driven Decision Support System for Supplier Selection</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc: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.</dc:description>
    <dc:subject>Social Sciences</dc:subject>
    <dc:subject>Supply Chain Management</dc:subject>
    <dc:subject>Decision Science</dc:subject>
    <dc:subject>Decision Making</dc:subject>
    <dc:subject>Behavioral Decision Making Theory</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/4f9ymrd4f7.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/4f9ymrd4f7.1</dc:identifier>
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    <dc:date>2026-08-24T13:06:08Z</dc:date>
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