CIMO extraction dataset for a systematic literature review of artificial intelligence in oil and gas supply chain management
Description
Research data underlying a systematic literature review of artificial intelligence tools that integrate dispersed supply chain data to support decision-making in oil and gas supply chain management and supply chain risk management. The deposit contains the complete Context-Intervention-Mechanism-Outcome (CIMO) coding of the 38-study corpus, the controlled codebook that defines every permitted value, 228 tagged evidence excerpts, the quality appraisal scores with item-by-item inter-rater agreement, the full-text exclusion ledger, the protocol crosswalk, audit trail examples, and the review protocol as fixed before the search was executed. Every count, association and claim about the corpus in the article derives from these files. The 38 source articles are not included: they are copyrighted by their publishers and each is identified by DOI in the article's reference list.
Files
Institutions
- Pontifícia Universidade Católica do ParanáParaná, Curitiba