Journal of Management Science
Online ISSN : 2435-4023
Print ISSN : 2185-9310
Current issue
Displaying 1-3 of 3 articles from this issue
  • Tsuyoshi SATO
    2025 Volume 14 Pages 1-19
    Published: February 28, 2025
    Released on J-STAGE: May 04, 2025
    JOURNAL FREE ACCESS
    This study investigates the impact of spatial distance and location conditions on the decision-making processes of multinational enterprises (MNEs) and financial institutions in the context of liquefied natural gas (LNG) projects. By examining 97 investment decisions made by 84 joint venture (JV) sponsors and 176 lending decisions for 28 projects across 22 countries, the research develops a comparative framework to understand how institutional and cultural distances influence these actors. The study employs hierarchical multiple regression and logistic regression analyses to identify key factors and their interactions with four moderators. The findings reveal contrasting approaches. MNEs prioritize homogeneity with host country institutions to mitigate risks and establish legitimacy in foreign markets, adhering to conservative strategies that favor stability and predictability. In contrast, financial institutions adopt a hybrid strategy, balancing homogeneity with host country formal institutions and heterogeneity with informal factors of JV partners to optimize returns and diversification. These differences underscore the distinct priorities of MNEs and financial institutions in managing uncertainty and resource allocation in international ventures. Our research contributes to institutional theory by elucidating how actors navigate complex institutional and cultural environments. By comparing the behaviors of MNEs and financial institutions under similar analytical conditions, it highlights the role of macro-level influences, such as financial systems, and micro-level factors, including cultural and institutional distances, in shaping strategic decisions. The findings extend prior models by incorporating the unique dynamics of consortium-based international JVs, offering new perspectives on the interplay between distance factors and decision-making. Practical implications include recommendations for MNEs to align investment strategies with host country conditions and for financial institutions to adapt financing models to diverse institutional and cultural contexts. For example, selecting experienced partners in target regions can reduce uncertainty and enhance project outcomes. Additionally, the study emphasizes the importance of flexible decision-making frameworks that account for spatial and contextual influences, enabling more effective resource allocation and risk management. Overall, the research advances theoretical understanding and provides actionable insights for managing the complexities of cross-border investments and financing, particularly in large-scale, capital-intensive projects such as LNG ventures.
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  • Tsuyoshi YOSHIOKA, Hiromune ISHII
    2025 Volume 14 Pages 21-34
    Published: February 28, 2025
    Released on J-STAGE: May 04, 2025
    JOURNAL FREE ACCESS
    This study proposes a novel framework for integrating generative artificial intelligence (AI) into management accounting to enhance decision-making using data science technologies. It is imperative for companies to make swift and strategic decisions in an increasingly uncertain business environment. Traditional management accounting methods rely on historical data and provide limited support for real-time decision making. However, by using generative AI, simulations, predictive analyses, decision-making processes, and scenario analyses based on company-specific synthetic data become feasible, thereby enhancing flexibility and accuracy in management. Furthermore, by incorporating the principles of cybernetics theory, this study explores how generative AI can strengthen real-time feedback loops in management accounting, enabling dynamic adjustments to business strategies. This study presents a specific methodology for leveraging generative AI to enable companies to predict future risks and competitive trends, thereby supporting strategic responses. Additionally, it examines the challenges and limitations associated with implementing generative AI and suggests directions for future research. Ultimately, this research offers a new approach for companies to support rapid, data-driven strategic decision-making, paving a path for management accounting to strengthen competitive advantage in a dynamic market environment.
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  • Takuro NAKAJIMA
    2025 Volume 14 Pages 35-
    Published: February 28, 2025
    Released on J-STAGE: May 04, 2025
    JOURNAL FREE ACCESS
    Originally published in: Journal of Management Science, 13, 17-25 (2024).
    Download PDF (255K)
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