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All Journal Aptisi Transactions on Management
Ramirez, Santiago
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Computer Science & IT Decision Sciences, Operations Research & Management

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Enhancing Organizational Resilience through Digital Innovation in Manufacturing Fanani, Fajriannoor; Maratis, Jerry; Saiful Hadi, Muhammad; Magdalena, Lena; Ramirez, Santiago
APTISI Transactions on Management (ATM) Vol 8 No 3 (2024): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i3.2362

Abstract

This study explores the role of digital innovation in strengthening organizational resilience within the manufacturing sector. By analyzing the integration of advanced technologies such as AI, IoT, and automation, the research investigates how these innovations improve operational flexibility, risk management, and adaptability to disruptions. A qualitative approach, including interviews with industry leaders, is employed to assess the impact. Findings demonstrate that digital innovation significantly enhances resilience, allowing manufacturers to respond efficiently to market volatility and operational challenges. The study concludes with recommendations for strategic implementation of digital tools.
Analysis of the Relationship Between Understanding Mathematical Logic and Managerial Decision-Making Effectiveness Ruisli, Marchesa; Laksma Pradana, Bayu; Brotosaputro, Goenawan; Ramirez, Santiago
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2407

Abstract

Managerial decision-making, a cornerstone of organizational success, often relies on logical reasoning to address complex scenarios and develop effective strategies, forming the basis of this research. While logical reasoning has been widely recognized, the integration of mathematical logic as a foundational tool for enhancing decision-making effectiveness has remained underexplored. This study investigates how understanding mathematical logic, particularly propositional and predicate logic, impacts managerial capabilities in analyzing problems, formulating strategies, and implementing decisions. To achieve this, the study employs a quantitative approach, utilizing a survey distributed to 150 managers across diverse industries, with data analyzed using Structural Equation Modeling (SEM) to identify relationships between variables. The findings demonstrate the practical applications of mathematical logic, including its utility in strategic planning for technology firms, operational optimization in manufacturing, and improving decision-making frameworks in healthcare. These insights lead to the understanding that mathematical logic is a valuable tool for strengthening managerial decision-making processes, offering significant theoretical and practical contributions to organizational practices.
Co-Authors Fajriannoor Fanani, Fajriannoor Goenawan Brotosaputro Laksma Pradana, Bayu Lena Magdalena, Lena Maratis, Jerry Ruisli, Marchesa Saiful Hadi, Muhammad