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ゴトウ ヒサキ
GOTO HISAKI
五藤 寿樹 所属 経営学部 職種 教授 |
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| 受賞年月 | 2023/03/13 |
| 国内外別 | 国外 (ポルトガル) |
| 授与機関名 | International Association for the Development of the Information Society Information Systems Conference 2023 |
| 受賞学術賞名 | Outstanding Paper Award |
| タイトル | AUTOMOBILE SALES FORECAST USING SOCIAL LISTENING AND CONDITIONS TO FORECAST SALES |
| 受賞者(グループ) | Hisaki GOTO, Yukiko GOTO |
| 受賞区分 | 国際学会・会議・シンポジウム等の賞 |
| 概要 | The amount of information created by end-users has become massive; it is often referred to as an ‘information explosion’, and social media is a typical tool for gathering that information. We gathered and analyzed tweets related to automobiles in Japan from June 2018 to May 2020, attempting to create a formula to forecast future automobile sales through content posted on Twitter. We found that forecasting the sale of automobiles is possible when the number of tweets for a model is large, which indicates that social media can be beneficial as alternative data to forecast product sales. Although we could successfully make a sales forecast on certain models with a large number of tweets, all the models were not possible to forecast. However, we propose a hypothesis that forecasting sales using Twitter is possible only after a product enters the so-called ‘cash cow’ phase under the Product Portfolio Matrix developed by Boston Consulting Group, which creates business strategy using market growth rates and relative markets. |