Experimental Stimuli and Materials for Influencer Size and CSR Commitment Framing Study in Digital Ride-Hailing Services

This dataset contains the experimental materials used in a 2 × 2 between-subjects scenario-based experiment examining the effects of influencer size and CSR commitment framing on consumer evaluations in digital ride-hailing services.

The study manipulates two independent variables: influencer size (micro-influencer: 10,000 followers vs. macro-influencer: 2,000,000 followers) and CSR commitment framing (low commitment: 1% revenue allocation vs. high commitment: 10% revenue allocation). The dependent variables are attitude toward the behavior (evaluative: ATTF1; instrumental: ATTF2), subjective norm (SUB), and perceived behavioral control (PBC), based on the Theory of Planned Behavior.

The dataset includes four video stimuli corresponding to the experimental conditions (micro–low CSR commitment framing, micro–high CSR commitment framing, macro–low CSR commitment framing, and macro–high CSR commitment framing). In addition, the dataset provides the storyboard and full scripts used to construct the stimuli.

These materials are provided to ensure transparency, reproducibility, and replicability of the experimental design. The dataset supports the methodological documentation reported in the associated manuscript and allows other researchers to examine and replicate the experimental manipulations. All experimental conditions differ only in influencer follower count and CSR commitment framing, while all other elements of the stimuli were held constant.