Interview Dataset: Adoption and Implementation of Artificial Intelligence in Slovak Enterprises, Bilingual Qualitative Dataset (Two Waves)
This repository provides a bilingual (Slovak/English) dataset of semi-structured interviews on the adoption and implementation of artificial intelligence (AI) among enterprises and public institutions in Slovakia. The interviews were collected in two waves between August 2025 and June 2026 within the AI-ImpactSK project at the Faculty of Business Management, Bratislava University of Economics and Business, using computer-assisted telephone interviewing (CATI) through a market-research agency.
The dataset comprises 58 interviews (Wave 1 = 29; Wave 2 = 29) with owners, executives, managers and domain specialists from micro, small, medium and large organizations across sectors including IT, finance, healthcare, manufacturing, public administration and e-commerce. Each interview is provided as a verbatim and a cleaned transcript, in both Slovak and English.
The repository includes interview transcripts, an anonymized participant metadata file, a thematic codebook with segment-level coding, the bilingual interview protocol, a fieldwork report, and supporting documentation (README, file manifest and checksums). For more information read the README.md file.
The released data are fully anonymized; direct identifiers have been removed and independently verified, and audio recordings are not shared. Personal data processing complies with the GDPR, and the study was approved by the Ethics Committee of the Bratislava University of Economics and Business (EKEUBA 5/2025). The dataset is suitable for secondary thematic analysis, cross-sectoral comparison, and NLP model training or benchmarking.
10.5281/zenodo.21891565 / https://doi.org/10.5281/zenodo.21891565
