Overview
The direct prior research which done by Washida et al. until 2021 resulted in the participation of 18 large Japanese companies in the survey. The specific objective of the unified questionnaire surveys was to determine the contribution of the design department to each organization, and to analyse the results using quantitative methods such as multivariate analysis or artificial intelligence. Thereafter, researchers tried to identification Key Performance Indicators (KPIs) to quantitively compare the contributions of the design departments in the organizations. According to the result of this study, KPI for design departments included 7 factors, such as “brand improvement”, “User communication”, “Product value enhancement”, “Ability to make suggestion and reporting”, “Intellectual property”, “Responsiveness and reliability”, and “Cost and Speed” (with a cumulative contribution ratio of 76.98%). By making a list of points that each participant company acquired for these 7 factors and mapping them using correspondence analysis, they were able to determine how the design departments of each company are evaluated by internal stakeholders. And then, researchers performed individual multiple regression analyses using the survey data for each participant company, to clarify what kind of evaluation factors were related to the overall satisfaction of the each company’s design department. Then they provided feedback to each company. In addition, they implemented a simple AI which had been trained on the evaluation structure, which made it possible for companies to simulate which KPI should be improved to increase the overall satisfaction score. Many of the participant companies indicated that they wanted to see this evaluation over time. Through this project, the researchers hope to support the promotion of corporate “Design management” by continuing similar survey investigations.
November 21, 2022 - April 30, 2025
（During the research project period, the research activity period is set from November 21, 2022 to October 31, 2024, and the data usage reporting period is set from November 1, 2024 to April 30, 2025.）
