Generative AI Platform Ecosystems: Mapping the Field and Theorising Core Generative Power

This dataset contains the bibliographic data and reproducibility materials associated with the study "Generative AI Platform Ecosystems: Mapping the Field and Theorising Core Generative Power." The study investigates how generative artificial intelligence (GenAI) is reshaping digital platform ecosystems, with particular attention to platform architecture, governance, complementor relations, value creation and capture, dependence, competition, and power relations. Records were retrieved from Scopus (n = 301) and Web of Science (n = 172), yielding 473 records. After removing 136 duplicates, 337 unique records underwent title-and-abstract screening. 191 records were excluded, leaving 146 records for full-text retrieval and eligibility assessment. The repository supports a mixed systematic-review and bibliometric workflow. The 146-record corpus constitutes the current general bibliometric corpus prior to completion of full-text eligibility assessment. A separate Author Keyword (DE) analysis subset (n = 115) was constructed for keyword-based bibliometric analyses. Keyword-based analyses use Author Keywords (DE) rather than Keywords Plus/indexed keywords (ID). Keyword variants were harmonised through a documented normalization procedure while maintaining theoretically meaningful distinctions, including the distinction between ecosystems and platform ecosystems. The deposited materials are intended to support transparency and reproducibility across analyses conducted with Bibliometrix/Biblioshiny, Scimat and VOSviewer.