Expert evaluation: Datasets of skill-rating questionnaires for advanced service design through Analytical Hierarchy Process

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.

本数据集为专家评估数据集，旨在明确高级服务设计技能对设计团队的重要性。本次专家遴选采用目的性抽样（purposive sampling）准则，通过链式抽样（chain sampling technique）招募符合要求的专家。评估数据通过契合层次分析法（Analytical Hierarchy Process，AHP）规范的技能评分问卷收集所得。最终生成的数据集通过基于R语言编写的层次分析算法完成处理。本数据集公开的透明化数据与代码可供设计从业者与研究者复用，用于实验复现与后续分析，为多准则决策分析（multiple-criteria decision analysis）提供了可复现的研究方法。致谢：本项目获欧盟地平线2020（Horizon 2020）研究与创新计划资助，属于玛丽·居里（Marie Skłodowska-Curie）资助项目，编号为814078。