2022 Fiscal Year Final Research Report

Empirical data analysis and modeling of the emergence of supply network complexity with a specific focus on firms' strategies of diversification and exploration/exploitation

Research Project

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Project/Area Number	19K04893
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 25010:Social systems engineering-related
Research Institution	Waseda University
Principal Investigator	Kito Tomomi 早稲田大学, 理工学術院, 准教授 (50636107)
Project Period (FY)	2019-04-01 – 2023-03-31
Keywords	サプライチェーン / ポートフォリオ / 多角化戦略 / ネットワーク科学 / 実データ / 競争戦略
Outline of Final Research Achievements	As the environment surrounding the manufacturing industry becomes increasingly uncertain and complex, companies need to be adaptive in their strategic decision-making about what to make and with whom to do business. The supply network as a whole must also be highly robust and efficient. However, the bottom-up principle of how the characteristics of the supply network structure emerge from diverse corporate strategies and interdependencies has not yet been sufficiently studied. Furthermore, indicators to measure the diversification strategies of portfolios and suppliers in an integrated manner and evaluation indicators for adaptation strategies that take into account the strategies of other firms have not yet been established. In this study, these indicators are proposed and the principle of the emergence of the overall structure of the supply network from the diversity and interdependence of the diversification strategies of companies is pursued.
Free Research Field	経営工学
Academic Significance and Societal Importance of the Research Achievements	本研究は，データ科学と複雑ネットワーク科学に依拠したアプローチによる新たな指標提案を行う．さらに，企業戦略とサプライネットワークのモデル化という，学術的にも実務的にも非常に重要な2つの課題領域を，複雑創発システム論の展開や，ネットワーク理論・シミュレーションといった新たな方法論によってつなぎ，学術的パラダイムを拓くことを目指す．本目的が達成されれば，複雑な社会システムへの理解がより深化し，サプライネットワークや企業戦略の研究発展に大きく寄与する．また実務的にも，企業の戦略決定支援や企業群全体のレジリエンス評価，脆弱箇所の特定等のための知見提供につながるので，産業的インパクトが非常に高い．