1. Datasets of skills-rating questionnaires for advanced service design through expert knowledge elicitation.
- Author
-
Nguyen, Hien Ngoc, Lasa, Ganix, Iriarte, Ion, Atxa, Ariane, Unamuno, Gorka, and Galfarsoro, Gurutz
- Subjects
SERVICE design ,ELICITATION technique ,ANALYTIC hierarchy process ,DECISION making ,JUDGMENT sampling ,PROGRAMMING languages - Abstract
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 members Technology Type(s) pairwise skills-rating questionnaires Factor Type(s) service design skills [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF