This study investigates the determinants of translators' willingness to adopt crowdsourcing translation platforms through a sequential explanatory mixed-methods design grounded in pragmatism. In Phase 1, a stratified random sample of 300+ practicing translators completed an online questionnaire derived from the Unified Theory of Acceptance and Use of Technology 2 and augmented with trust and risk constructs. Partial least squares structural equation modelling revealed that performance expectancy, effort expectancy, community support, and trust significantly predict behavioral intention, whereas perceived risk exerts a negative moderating effect. In Phase 2, semi-structured interviews with 15 purposively selected survey respondents unpacked these statistical relationships, showing how cultural values, volunteer fatigue, and platform recognition shape sustained engagement and offering actionable guidance for platform designers, agencies, and policymakers seeking to enhance the sustainability and inclusivity of crowdsourced translation ecosystems.
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