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How to generate creative ideas for innovation: a hybrid approach of WordNet and morphological analysis

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  • Geum, Youngjung
  • Park, Yongtae

Abstract

A creative ideation process occupies a substantial part of the innovation process. Among many techniques for ideation, morphology analysis has been employed as a prevalent method, whose success is critically affected by its dimensions and values. Despite the gravity of determining dimensions and values, previous literature has been simply subject to manual construction by some experts, which leads to significant subjectivity and bias in morphology building. For this reason, an analytic and objective way of morphology building is highly required. In response, this paper suggests a new way of morphology building to enhance creative ideation using WordNet. WordNet is a large lexical database of English, which provides a hierarchical network dictionary of words. WordNet's hierarchical relationship characteristic fits morphology analysis as its nature comes from a hierarchical structure of dimensions and values. The use of WordNet can be an excellent remedy for morphology building by employing two types of relationships: meronym/holonym for dimension construction and hyponym/ hypernym for value construction. Since dimension construction extends the contents of horizontal axis of morphology, it is called horizontal extension. Similarly, value construction extends the contents of vertical axis of morphology, thus it is referred to as vertical extension of morphology.

Suggested Citation

  • Geum, Youngjung & Park, Yongtae, 2016. "How to generate creative ideas for innovation: a hybrid approach of WordNet and morphological analysis," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 176-187.
  • Handle: RePEc:eee:tefoso:v:111:y:2016:i:c:p:176-187
    DOI: 10.1016/j.techfore.2016.06.026
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    References listed on IDEAS

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    1. Yoon, Byungun & Park, Inchae & Coh, Byoung-youl, 2014. "Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 287-303.
    2. Olivier Toubia, 2006. "Idea Generation, Creativity, and Incentives," Marketing Science, INFORMS, vol. 25(5), pages 411-425, September.
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    Cited by:

    1. Lijie Feng & Yuxiang Niu & Zhenfeng Liu & Jinfeng Wang & Ke Zhang, 2019. "Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT," Sustainability, MDPI, vol. 12(1), pages 1-35, December.
    2. Ha, Sohee & Geum, Youngjung, 2022. "Identifying new innovative services using M&A data: An integrated approach of data-driven morphological analysis," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Lee, Changyong & Jeon, Daeseong & Ahn, Joon Mo & Kwon, Ohjin, 2020. "Navigating a product landscape for technology opportunity analysis: A word2vec approach using an integrated patent-product database," Technovation, Elsevier, vol. 96.
    5. Wasley, Nicholas S. & Lewis, Patrick K. & Mattson, Christopher A. & Ottosson, Hans J., 2017. "Experimenting with concepts from modular product design and multi-objective optimization to benefit people living in poverty," Development Engineering, Elsevier, vol. 2(C), pages 29-37.
    6. 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.
    7. Kwon, Heeyeul & Park, Yongtae & Geum, Youngjung, 2018. "Toward data-driven idea generation: Application of Wikipedia to morphological analysis," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 56-80.
    8. Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).
    9. Zhenfeng Liu & Jian Feng & Jinfeng Wang, 2020. "Resource-Constrained Innovation Method for Sustainability: Application of Morphological Analysis and TRIZ Inventive Principles," Sustainability, MDPI, vol. 12(3), pages 1-23, January.
    10. Lamrhari, Soumaya & Ghazi, Hamid El & Oubrich, Mourad & Faker, Abdellatif El, 2022. "A social CRM analytic framework for improving customer retention, acquisition, and conversion," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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