A fuzzy robust regression approach for evaluating electric and electronics corporations

Kunio Shibata, Junzo Watada, Yoshiyuki Yabuuchi

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    Corporations in electric and electronic industry face severe competition all over the world. In Japan, some corporations have succeeded in accelerating their sales and production, however unfortunately, many corporations lost the power to advance in the 1990s. There are several reasons such as the influence of recession in Japan as well as in other markets around the world. Such causes and reasons should be clarified as to why some corporations could successfully accelerate their production even during the recession. In this paper, detailed data of focal corporations in the electric and electronics industries in Japan are scrutinized and analyzed. These days, balance sheets cannot express corporate performance without considering the influence of brands customer, employee, patents and so on. This paper analyzes Japanese electric and electronics corporations in terms of measuring intangible assets. Especially, this paper stresses the point of management of technology (MOT) and brand image in terms of corporate value. The results of our analysis explain why some corporations could be successful. Our analysis utilizes a fuzzy robust regression model. In this analysis, the system can automatically remove outliers from samples. So, this analysis can minimize the influence of the outliers. Each company has many influential features including the power of corporation scale, type of industry, number of employees and so on. Therefore, we obtain results with high reliability by means of applying fuzzy robust regression analysis.

    Original languageEnglish
    Pages (from-to)58-67
    Number of pages10
    JournalJournal of Japan Industrial Management Association
    Volume59
    Issue number1
    Publication statusPublished - 2008

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    Keywords

    • Corporate brand evaluation
    • Electric corporations
    • Fuzzy robust regression analysis
    • Intangibles

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering
    • Engineering (miscellaneous)

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