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Journal : Aptisi Transactions on Management

Sustainable Management Strategies to Enhance Business Competitiveness in the Technology Sector Abudaqa, Anas; Geraldina, Ira; Rakhmansyah, Mohamad; Miftah, Mohammad; Dlamini, Sipho
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.v8i3.2359

Abstract

The increasing global demand for sustainable business practices has placed significant pressure on organizations, particularly within the technology sector, to adopt strategies that balance environmental, social, and economic goals. This study investigates the role of sustainable management strategies in enhancing business competitiveness in the technology industry. The research employs a mixed-method approach, integrating quantitative data from key performance indicators (KPIs) such as market share, operational efficiency, and innovation outcomes, with qualitative insights gathered from in-depth interviews with senior executives. The results demonstrate that companies adopting sustainability practices experience a measurable improvement in operational efficiency (10%) and market share (15%), confirming that sustainability serves as a critical enabler of competitive advantage. Qualitative findings further reveal that sustainability initiatives bolster brand differentiation, customer loyalty, and regulatory compliance, contributing to long-term success. These strategies not only help firms navigate evolving regulatory landscapes but also enhance their positioning as leaders in innovation and social responsibility. This study concludes that sustainable management strategies are essential not just for compliance, but for fostering long-term business resilience and market leadership in the fast-paced technology sector.
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.