Data-driven new idea generation becomes imperative in recent business environment where big data analytics becomes an excellent remedy for innovation. Text-mining, therefore, has been popular for developing new ideas. However, previous studies relied on using all keywords, neglecting a systematic extraction of service-specific keywords. Therefore, this study suggests a new method for developing new service ideas—a data-driven morphological analysis for service ideation. The service-specific keyword extraction and filtering process are suggested to the data-driven morphological analysis. This study is expected to help managers to generate more service-specific and creative ideas for new services.

在最近的商业环境中，大数据分析成为创新的绝佳补救措施，数据驱动的新想法的产生变得势在必行。因此，文本挖掘在开发新想法方面很受欢迎。然而，之前的研究依赖于使用所有关键字，而忽略了对特定服务关键字的系统提取。因此，本研究提出了一种开发新服务理念的新方法——数据驱动的服务理念形态分析。建议在数据驱动的形态分析中使用特定于服务的关键字提取和过滤过程。这项研究有望帮助管理人员为新服务产生更多特定于服务的创意。