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
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.