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Datasets of skills-rating questionnaires for advanced service design through expert knowledge elicitation
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Datasets of skills-rating questionnaires for advanced service design through expert knowledge elicitation
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Journal Article
Datasets of skills-rating questionnaires for advanced service design through expert knowledge elicitation
2022
Overview
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 offers a reproduceable research process and associated dataset for conducting multiple-criteria decision analysis with expert purposive sampling.Measurement(s)perspective of experts on important service design skills for design team membersTechnology Type(s)pairwise skills-rating questionnairesFactor Type(s)service design skills
Publisher
Nature Publishing Group
Subject
