Abstract
Design thinking is a problem-solving approach that utilizes many qualitative-based tools to support each step. Those qualitative-based tools adopt a subjective approach to capture insights. Recently, the development of data science allows problem solvers to get deeper insights from objective evidence. The study proposes how data science techniques can be used to enrich design thinking process. The research also empirically demonstrated parts of the proposed approach with the Taiwan moving industry. The results of this study include suggestions and notices on each quantitative approach. The paper provides an enriched step-by-step design thinking method, with understandable guidance, to help design thinkers to improve their product design or service design.
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Yang, KL., Hsu, SC., Hsu, HM. (2020). Enriching Design Thinking with Data Science: Using the Taiwan Moving Industry as a Case. In: Takenaka, T., Han, S., Minami, C. (eds) Serviceology for Services. ICServ 2020. Communications in Computer and Information Science, vol 1189. Springer, Singapore. https://doi.org/10.1007/978-981-15-3118-7_12
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DOI: https://doi.org/10.1007/978-981-15-3118-7_12
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