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

Mingyu Park and Youngjung Geum ()
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Mingyu Park: Seoul National University of Science and Technology
Youngjung Geum: Seoul National University of Science and Technology

Service Business, 2021, vol. 15, issue 3, No 6, 539-561

Abstract: 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.

Keywords: Data analytics; Idea generation; Morphological analysis; New service development; Text mining (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11628-021-00449-6

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