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All Journal Aptisi Transactions on Management Journal of Computer Science and Technology Application
Lansonia, April
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Computer Science & IT Decision Sciences, Operations Research & Management Other

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Journal : Aptisi Transactions on Management

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The Role of Information Management in Enhancing Organizational Resilience Austin, Matthias; Lansonia, April
APTISI Transactions on Management (ATM) Vol 8 No 1 (2024): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v8i1.2198

Abstract

In the face of constant change and unprecedented challenges, organizations are compelled to cultivate resilience. This study focuses on the pivotal role of information management in fortifying organizational resilience, recognizing the imperative for a strategic approach to information handling in today's dynamic landscape. Employing a quantitative research approach, the study aims to comprehensively understand the nuanced relationships between information management and organizational resilience. By capturing empirical data, quantitative methodologies enable statistical analysis to unveil patterns and trends, shedding light on the presence, strength, and direction of the relationship between information management practices and resilience. The study's contributions extend to both academic and practical realms. Academic researchers gain insights into how strategic information management influences organizational resilience, informing the development of new theories. Practitioners can leverage actionable insights to guide strategic decision-making, enhancing organizational adaptation and thriving. Whether through improving data security, enhancing information accessibility, or refining data management, organizations can fortify their foundations in the ever-evolving business landscape. In conclusion, this study offers practical implications for organizational leaders, emphasizing the pivotal role of strategic information management in not only surviving but thriving amid disruptions. The synthesis of empirical evidence and theoretical insights positions this research as a valuable resource for those dedicated to bolstering organizational resilience in the face of dynamic uncertainties.
Leveraging Artificial Intelligence for Competitive Advantage in SMEs An Empirical Analysiss Ferdiansyah, Januri; Abudaqa, Anas; Lansonia, April
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2472

Abstract

Small and Medium Enterprises (SMEs) face significant challenges in a com- petitive market. Artificial Intelligence (AI) has emerged as a critical tool for enhancing business operations, yet the specific impact of AI on the competi- tive advantage of SMEs remains underexplored. This study aims to investigate how AI adoption influences the competitive advantage of SMEs, focusing on key performance indicators such as cost efficiency, market share, customer retention, and innovation. The study adopts a quantitative research approach using Par- tial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Data was collected from 200 SMEs across various industries that have implemented AI technologies. A survey was conducted to assess AI adoption and its impact on competitive advantage. The results indicate that AI adoption positively affects all four dimensions of competitive advantage. The strongest impact was observed on cost efficiency, followed by customer retention, inno- vation, and market share. The relationships between AI adoption and competi- tive advantage were statistically significant. AI adoption provides SMEs with a powerful means to enhance competitiveness by improving operational effi- ciency, customer loyalty, and innovation. Policymakers should support SMEs in overcoming adoption barriers to fully realize these benefits.
Co-Authors Abudaqa, Anas Austin, Matthias Beldiq, Eiser Aaron Ferdiansyah, Januri