Expert evaluation: Datasets of skill-rating questionnaires for advanced service design through Analytical Hierarchy Process
Description
This presents a dataset of expert evaluation to determine what design skills for advanced services are important for the design team. The expert selection criteria were defined by the purposive sampling to recruit the appropriate experts through the chain sampling technique. Their evaluations were collected through the skill-rating questionnaires in accordance with Analytical Hierarchy Process (AHP). The resulting dataset was processed through the AHP algorithms programmed by R language. Transparency data and code availability may be (re)used by the design practitioners and/or researchers for replication and further analysis, offering the reproduceable research method by which multiple-criteria decision analysis is conducted. Acknowledgments This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant No. 814078.
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Steps to reproduce
The expert selection criteria were defined by the purposive sampling to recruit the appropriate experts through the chain sampling technique. The recruited experts responded the nine skill-rating questionnaires (.pdf) in a nine-point scale for pairwise comparison among five groups of company employees (the design team) in accordance with AHP. The questionnaires were provided in English and sent to the experts through the email in September 2021. All expert responses were collected by their feedback emails around November 2021. The raw data (expert responses) were inputted in the spreadsheet (.xlsx). These data were analysed by R codes (.html) in accordance with the AHP analysis.