Factor analysis and structural equation model for patent analysis: a case study of Apple’s technology

Jong Min Kim, Dong Man Im, Sunghae Jun

    Research output: Contribution to journalArticlepeer-review

    5 Scopus citations

    Abstract

    In this study, we analyse patent data for technology analysis (TA) because patents are rich in information on developed technology. The results of TA can be used to perform more efficient research and development (R&D) planning. Most companies are trying to develop new and innovative technologies to improve their competitive positions. Research involving TA has been introduced in a variety of fields. Most of the published research analysed original variables related to a target technology. However, it is necessary to analyse the latent variables as well as the original variables included in the technology to achieve a better TA model. Therefore, we propose a factor analysis and a structural equation model for patent analysis. In addition, we use Apple’s patents to determine the target technology. In our case study, we analyse Apple’s technologies by latent variables. Our case study shows how the proposed model is applied to Apple’s R&D planning.

    Original languageEnglish (US)
    Pages (from-to)717-734
    Number of pages18
    JournalTechnology Analysis and Strategic Management
    Volume29
    Issue number7
    DOIs
    StatePublished - Aug 9 2017

    Keywords

    • Apple Inc
    • Patent technology analysis
    • factor analysis
    • structural equation model

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