Artificial Intelligence Adoption in Informal Economies: A Socio-Technical Analysis of Youth Innovation in the Democratic Republic of the Congo - Replication Package

Dataset Title: AI_Adoption_DRC_Replication_PackageStudy: AI Adoption in Informal Economies: Youth Innovation in the Democratic Republic of the CongoAuthor: Dr. Delphin B. Kyubwa, PhD (2026)License: Creative Commons Attribution 4.0 International (CC BY 4.0)Dataset DescriptionThis repository contains anonymized and aggregated analytical data supporting the findings of the study AI Adoption in Informal Economies: Youth Innovation in the Democratic Republic of the Congo. The dataset is structured to promote transparency, reproducibility, and ethical research dissemination while protecting participant confidentiality.The replication package includes:dataset_transcripts_deidentified.csvStructured, anonymized analytical excerpts derived from qualitative interviews. These excerpts illustrate thematic coding patterns and do not reproduce full interview transcripts.thematic_codebook.xlsxA structured coding framework linking empirical themes to Socio-Technical Systems (STS) theory, ICT4D scholarship, and the Capability Approach. The codebook includes theme definitions, inclusion criteria, and representative excerpts.tables_underlying_data.xlsxAggregated quantitative summaries (frequencies and percentages) underlying the tables and figures reported in the published article.Ethical and Data Protection StatementNo personally identifiable information (PII) is included in this repository. Full interview transcripts are not shared in order to protect participant confidentiality and comply with ethical standards governing minimal-risk qualitative research. All released materials have been reviewed to minimize any risk of re-identification.Replicability NotesAll datasets are fully anonymized.Data are provided in open, machine-readable formats (CSV and XLSX).Variable names follow standardized conventions.No proprietary software or custom algorithms were used in the analysis.Findings can be replicated using standard qualitative coding procedures and descriptive statistical methods.For inquiries regarding this dataset, please contact the author via L'Université Technologique du Congo (UTC).