タクマ ヒロノリ
Hironori Takuma
田隈 広紀 所属 千葉工業大学 未来変革科学部 デジタル変革科学科 千葉工業大学 社会システム科学研究科 マネジメント工学専攻 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2021/07/01 |
形態種別 | 学術雑誌 |
査読 | 査読あり |
標題 | Analyzing Enterprise Attribute-Development KPIs/KGIs by Bayesian Network-Leveraging LDA |
執筆形態 | 共著 |
掲載誌名 | International Journal of Project Management and Productivity Assessment |
掲載区分 | 国外 |
出版社・発行元 | IGI Global |
巻・号・頁 | 9(2),pp.48-67 |
総ページ数 | 20 |
著者・共著者 | Yutaka Iwakami, Hironori Takuma, Motoi Iwashita |
概要 | In product development, key performance indicators (KPIs) and key goal indicators (KGIs) have complex influences on each other. To understand the structure among them, Bayesian network analysis is one of effective methods. However, relationships among KPIs/KGIs often differ in attributes of enterprises, such as business type and annual sales. In this study, the authors incorporate topics obtained via latent Dirichlet allocation (LDA) into Bayesian network as nodes. With this “Bayesian network with topic nodes,” how KPIs affect the results of KGIs can be probabilistically inferenced and graphically observed according to attributes of enterprises. Furthermore, by configuring cultural or national differences as topic nodes, the proposed methods are expected to contribute overcoming barriers caused by these differences and accelerating improvement of product development in the global society. |