Supplementary Materials for Integrating Artificial Intelligence into Systematic Literature Reviews to Structure Fragmented Research Fields: The Case of Corporate Venturing Initiatives

This Zenodo record contains the supplementary materials for the artice Integrating Artificial Intelligence into Systematic Literature Reviews to Structure Fragmented Research Fields: The Case of Corporate Venturing Initiatives. The record documents the practical application of the AI augmented systematic literature review pipeline used as the stress test in the article and provides the main reusable materials underlying that application. The repository includes the preprocessing scripts used to convert PDF files into TEI XML, transform TEI XML into paragraph level TXT files, and split TXT files into overlapping text chunks. It further includes the exported ASReview project used for title and abstract screening, the prompt used for local large language model based extraction of corporate venturing initiatives, and the final paper list used for the full text stage of the study. The uploaded scripts show a local GROBID based PDF to TEI workflow, a TEI to TXT extraction process based on paragraph tags, a chunking procedure with overlapping windows, and a local ChatOllama based extraction setup using the DeepSeek model family. Our full AI-augmented Systematic Literature Review pipeline, the reporting template, and the methodological rationale are described in the accompanying article and are therefore not duplicated in full in this record. This Zenodo record is intended to provide the operational materials that support transparency, traceability, and reuse of the demonstrated workflow. Contents GROBID based PDF to TEI conversion script TEI to TXT conversion script TXT chunking script Exported ASReview project for CVI literature screening Prompt for CVI extraction Final paper list for the demonstrated application