KPT_Toolkit-Supplementary_Materials

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Authors: Wang Shali
Cited by: 0

Abstract

KPT_Toolkit-Supplementary_Materials This repository contains supplementary materials for a research study on "Knowledge-Power Topology" in cleaner production governance, supporting methodological transparency and tool reproducibility. File List 1-A1_RIS_bundle.zip Appendix A1: Literature Search RecordsIncludes 32 clean RIS-format citations, a PRISMA 2020 flow diagram, and search strategy documentation. Supports the literature review and case selection sections. 2-A2_KPT_toolkit.zip Appendix A2: Governance Toolkit Design MaterialsContains: KPT_Toolkit_v1.xlsx: Interactive decision table that generates context-appropriate policy tool combinations within 5 minutes via dropdown selection of knowledge dimensions and power configurations; KPT_UserGuide_v1.pdf: Step-by-step user guide with conflict warning examples; KPT_pseudoCode.py: Reference implementation code (Python 3.9) illustrating the tool's logic. This bundle represents the core output of the research, translating the "Knowledge-Power Topology" theoretical framework into a directly usable decision-support tool. 3-A3_farmer_valid.zip Appendix A3: Member Validation MaterialsIncludes interview protocol, ethics approval documentation, anonymized transcripts, and key quotations, used to validate the field relevance of the theoretical framework. 4-A4_replication.zip Appendix A4: Coding Process DocumentationIncludes a codebook (12 variable definitions), reliability test data, and analysis process notes, demonstrating the systematic and auditable nature of the qualitative analysis. License Content in this repository is licensed under CC BY 4.0. Attribution is required when used. How to Cite Please cite this dataset and toolkit via its Zenodo DOI (see CITATION.cff).

Fields of Study & Subjects

Sustainability and Climate Change Governance Regulation and Compliance Studies Public Policy and Administration Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026