Replication package for: Distinct Dimensions of AI Readiness in Hungarian SMEs

This is a transparency and verification package, not a replication package. The participant information shown to respondents stated that the survey is completed without giving a name and that the data would be handled in aggregate form, and undertook that the data would not be transferred to third parties. We treat both undertakings as binding on the mode of publication. No item-level response file is included in this deposit, and none is available on request; controlled access would require a separate determination by the approving ethics board. This package contains: the survey instrument used in the reported analyses (Hungarian original with English glosses), including the participant information and data-processing notice reproduced verbatim; a variable-level codebook (metadata only, no response values); the complete analysis and figure-generation code; the aggregate outputs underlying every table and figure in the paper (descriptives, correlation matrices, contingency tables, regression coefficients with variance–covariance matrices, the slope-difference test, the index-composition sensitivity table, GMM profile summaries, and a result-by-result reproducibility matrix); a synthetic demonstration dataset for exercising the code; and the disclosure-control procedure applied to the internal analytical file. Accompanies: Kiss, F., Szabados, L., & Werschitz, O. (2026). Distinct Dimensions of AI Readiness in Hungarian SMEs: Solution-Sourcing Knowledge, Optimism, and Discomfort. 17th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2026), Shenzhen, China. Funding: Batthyány Lajos Foundation; Infota Research Institute (own resources).