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
Statistics and Probability ,Library and Information Sciences ,Statistics, Probability and Uncertainty ,Computer Science Applications ,Education ,Information Systems - 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.
- Published
- 2022