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On the data-driven generation of new service idea: integrated approach of morphological analysis and text mining
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 ex...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216585/ http://dx.doi.org/10.1007/s11628-021-00449-6 |
Sumario: | 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. |
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