Journal of the Japan Society for Management Information
Online ISSN : 2435-2209
Print ISSN : 0918-7324
Volume 25, Issue 2
Displaying 1-2 of 2 articles from this issue
Articles
  • Keiko KATAGATA, Kenichi TAKANO
    2016Volume 25Issue 2 Pages 77-95
    Published: September 15, 2016
    Released on J-STAGE: April 01, 2025
    JOURNAL FREE ACCESS

    The purpose of this study is to offer new aspects of corporate crisis communication strategies for Japanese enterprises carrying out business in the U.S. Due to the recent accelerated internationalization, organizations have been facing diversified stakeholders who have variety of senses of value. Although corporate crises are unexpected critical incidents which may strike any organizations drastically, crisis communication strategies for stakeholders in overseas for Japanese enterprises have yet been studied adequately. The U.S., one of the most deeply connected countries with Japan, obtains rather contrastive cultural traits against it. Hence crisis communication should be designed to suit stakeholders there. The survey result shows that corporations will be encouraged to demonstrate the following considerations for stakeholders in the U.S.: 1) proactive explanations and assertions, 2) substantive actions, 3) more careful attentions toward women and the elderly who tend to make stricter assessments.

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  • Takumi UCHIDA, Koken OZAKI, Kenichi YOSHIDA
    2016Volume 25Issue 2 Pages 97-115
    Published: September 15, 2016
    Released on J-STAGE: April 01, 2025
    JOURNAL FREE ACCESS

    Estimating online-purchasing behavior is very important in Web marketing. However, we cannot acquire enough volume of purchase data. The lack of data makes estimation not accurate. Especially, purchasing behavior is rare. The number of segments which we should estimate their purchase rate is comparatively larger than the number of purchasing which we could observe. Thus, there exists large error in estimation of purchasing rate. In this paper, we propose a method to solve this data insufficient problem. The proposed method merges multiple segments into one new segment using AIC as the criteria to select non-essential attributes. Here, the attributes which characterize purchasing behavior are such as sex, age and region. By removing non-essential attributes, newly formed segments have lager data volume than original segments. Their error of purchasing rate becomes smaller than original segments. This paper also reports the experimental results which use two web marketing data to show the advantage of the proposed method.

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