Annals of Business Administrative Science
Online ISSN : 1347-4456
Print ISSN : 1347-4464
ISSN-L : 1347-4456
最新号
選択された号の論文の1件中1~1を表示しています
  • Yufu Kuwashima, Sayaka Matsumoto
    原稿種別: research-article
    2024 年 23 巻 3 号 p. 35-47
    発行日: 2024/06/15
    公開日: 2024/06/15
    [早期公開] 公開日: 2024/06/13
    ジャーナル オープンアクセス

    In influencer marketing, influencers are usually selected based on the number of followers. But is this the right selection method? In this study, we conducted a preliminary survey of SDG-related words on Instagram. Among accounts with posts that included hashtags “#food loss” and “#renewable energy,” we selected one account with a high view count for each hashtag. Then, for these two accounts, we conducted a network analysis using mutual following relationships as ties and accounts as nodes. We found that the former account had a broadcasting-type network, whereas the latter account had a community-type network. In a community type network, users are very like-minded, and influencers with community-type networks are considered more effective at the purchase decision stage. Owing to a higher rate and number of comments for the community-type network, these two values could be used as substitute indicators for network structure.

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