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Novelty-focussed document mapping to identify new service opportunities

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  • Changyong Lee
  • Hakyeon Lee

Abstract

Successful innovation in services is considered a key factor for organisational sustainability. However, existing customer- and expert-centric approaches are becoming time-consuming and labour-intensive as the number and complexity of services increase. To counter this, an instrument for service opportunity analysis based on quantitative data and systematic processes is proposed in line with the notions of service engineering. At the heart of the suggested approach is text mining to extract the meanings of service documents and the local outlier factor to identify novel services based on quantitative indicators. A case study of mobile services is exemplified. The suggested approach promotes consensus building for promising service opportunities and enhances the efficiency of the fuzzy front-end stages of new service development.

Suggested Citation

  • Changyong Lee & Hakyeon Lee, 2015. "Novelty-focussed document mapping to identify new service opportunities," The Service Industries Journal, Taylor & Francis Journals, vol. 35(6), pages 345-361, April.
    • Handle: RePEc:taf:servic:v:35:y:2015:i:6:p:345-361
    DOI: 10.1080/02642069.2015.1003368
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    References listed on IDEAS

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    1. Hipp, Christiane & Grupp, Hariolf, 2005. "Innovation in the service sector: The demand for service-specific innovation measurement concepts and typologies," Research Policy, Elsevier, vol. 34(4), pages 517-535, May.
    2. Jon Sundbo, 1997. "Management of Innovation in Services," The Service Industries Journal, Taylor & Francis Journals, vol. 17(3), pages 432-455, July.
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    Cited by:

    1. Pei-Ju Wu, 2016. "Logistics business analytics for achieving environmental sustainability," Journal of Administrative and Business Studies, Professor Dr. Usman Raja, vol. 2(6), pages 264-269.
    2. Hakyeon Lee & Hyunju Seol & Hyejong Min & Youngjung Geum, 2017. "The identification of new service opportunities: a case-based morphological analysis," Service Business, Springer;Pan-Pacific Business Association, vol. 11(1), pages 191-206, March.
    3. Kim, Jieun & Lee, Changyong, 2017. "Novelty-focused weak signal detection in futuristic data: Assessing the rarity and paradigm unrelatedness of signals," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 59-76.
    4. Juram Kim & Changyong Lee, 2017. "Stochastic service life cycle analysis using customer reviews," The Service Industries Journal, Taylor & Francis Journals, vol. 37(5-6), pages 296-316, April.
    5. Heeyong Noh & Youngkeun Song & Ae-Soon Park & Byungun Yoon & Sungjoo Lee, 2016. "Development of new technology-based services," The Service Industries Journal, Taylor & Francis Journals, vol. 36(5-6), pages 200-222, April.
    6. Changyong Lee & Gyumin Lee, 2019. "Technology opportunity analysis based on recombinant search: patent landscape analysis for idea generation," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 603-632, November.

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