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	2019/10/19
形態種別	学術雑誌
査読	査読あり
標題	Extraction of Fundamental KPIs in New Product Development Using Bayesian Network Analysis
執筆形態	共著
掲載誌名	Journal of International Association of P2M
掲載区分	国内
出版社・発行元	International Association of P2M
巻・号・頁	14(1),pp.446-455
著者・共著者	Hironori TAKUMA, Yutaka IWAKAMI
概要	Setting key performance indicators (KPIs) that influence Key Goal Indicators (KGIs) such as sales, sales volume, market share, among others, in a new product development program of an enterprise is extremely in important management matters. Although there are many candidates for KPIs, there have been no studies that have explored the causal relationship between them and KGIs using a mathematical model. In this study, to reduce the complexity of a new product development program and to enable focus on appropriate management, the association between 5 KGIs and 32 KPIs was modeled through Bayesian network analysis based on 250 actual values. The results were further examined from the viewpoint of product development management. Six KPIs that seem to have more possibility to influence KGIs were extracted as “Fundamental KPIs”. From now on, extracting the fundamental KPIs reflecting the actual situation more deeply and exploring the key points for their management is required.