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21.06.2021 | Theoretical article

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

verfasst von: Mingyu Park, Youngjung Geum

Erschienen in: Service Business | Ausgabe 3/2021

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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.

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Titel: On the data-driven generation of new service idea: integrated approach of morphological analysis and text mining
verfasst von: Mingyu Park
Youngjung Geum
Publikationsdatum: 21.06.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Service Business / Ausgabe 3/2021
Print ISSN: 1862-8516
Elektronische ISSN: 1862-8508
DOI: https://doi.org/10.1007/s11628-021-00449-6

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