10.7910/DVN/JOQJXXFeng, AojieAojieFengSoochow UniversityHarvard Dataverse2026Arts and HumanitiesFeng, AojieSoochow University2026-06-042026-06-0593829application/vnd.openxmlformats-officedocument.spreadsheetml.sheet1.0CC0 1.0All human subject data contained in this dataset have been fully anonymized prior to submission. Any direct or indirect personal identifiers (including but not limited to names, specific dates, contact information, and detailed geographic data) have been removed or masked to ensure participant privacy and compliance with research ethics regulations. The study investigates the psychological and behavioral mechanisms—specifically the interplay of TAM, SDT, and EDD frameworks—influencing adolescents' intention to adopt Intelligent Sports Assistance Robots (ISARs). The dataset includes responses from 587 adolescents in Mainland China, covering variables such as Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Autonomy (AUT), Competence (COMP), Emotional Connection (EC), Intrinsic Motivation (IM), and Behavioral Intention (BI). The data was used for Partial Least Squares Structural Equation Modeling (PLS-SEM), Multi-Group Analysis (PLS-MGA), and fuzzy-set Qualitative Comparative Analysis (fsQCA).Sample Size: 587 valid responses from adolescents aged 13–18 in Mainland China. File Description: The file contains raw survey data collected via online and offline channels. Methodology: The data supports both linear net-effect analysis (PLS-SEM) and configurational analysis (fsQCA). Ethics: This study was conducted in accordance with the Declaration of Helsinki. All participants provided informed consent, and data has been fully anonymized to protect minor privacy.