摘要：this article presents a dataset of service design skills which service design experts value as important requirements for design team members. Purposive sampling and a chain referral approach were used to recruit appropriate experts to conduct questionnaire-based research. Using the analytical hierarchy process (aHP), pairwise skills-rating questionnaires were designed to elicit the experts’ responses. the resulting dataset was processed using aHP algorithms programmed in R programming language. the transparent data and available codes of the research may be reused by design practitioners and researchers for replication and further analysis . This paper ofers a reproduceable research process and associated dataset for conducting multiple-criteria decision analysis with expert purposive sampling.
