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On the data-driven generation of new service idea: integrated approach of morphological analysis and text mining

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  • Mingyu Park

    (Seoul National University of Science and Technology)

  • Youngjung Geum

    (Seoul National University of Science and Technology
    Seoul National University of Science and Technology)

Abstract

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.

Suggested Citation

  • Mingyu Park & Youngjung Geum, 2021. "On the data-driven generation of new service idea: integrated approach of morphological analysis and text mining," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 539-561, September.
    • Handle: RePEc:spr:svcbiz:v:15:y:2021:i:3:d:10.1007_s11628-021-00449-6
    DOI: 10.1007/s11628-021-00449-6
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    References listed on IDEAS

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    3. Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).

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