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Green Marketing Strategy for Gaining Sustainable Competitive Advantage in Industry 4.0: Evidence from the Energy Sector Ezrawati Nunut Nababan; Yodi Ibrahim; Judith Tagal Gallena Sinaga; Harman Malau
Journal of Educational Management Research Vol. 5 No. 3 (2026)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v5i3.2147

Abstract

This research is driven by global pressures on sustainability and the urgent need for clean energy transitions in the industrial sector, particularly in energy, during the Industry 4.0 era. Digital transformation and green marketing strategies are vital to improving operational efficiency, fostering environmentally friendly innovations, and building sustainable competitive advantage. This study aims to examine the influence of Green Marketing Orientation, Green Innovation, and Digital Marketing on Sustainable Competitive Advantage in energy sector companies in Indonesia within the decarbonization context. A quantitative approach was applied using a survey method and Structural Equation Modeling–Partial Least Squares (SEM-PLS) analysis on 50 managerial respondents from companies with environmental policies, decarbonization initiatives, and digital marketing platforms. Findings show that Green Marketing Orientation significantly and positively affects Green Innovation, Green Innovation significantly enhances Sustainable Competitive Advantage, and Digital Marketing has the strongest effect on competitive advantage, whereas the direct influence of Green Marketing on competitive advantage is not significant. The study concludes that integrating green strategy, innovation, and digital capabilities is essential to achieving sustainable competitive advantage, offering theoretical contributions to Resource-Based View and dynamic capabilities frameworks and practical implications for strategic corporate management in the decarbonization era.
Artificial intelligence adoption and financial management outcomes: A multi-dimensional analysis of banking and insurance sectors in Indonesia Iroth, Jonathan Nicholas; Sinaga, Judith Tagal Gallena; Malau, Harman
Journal of Management and Digital Business Vol. 6 No. 1 (2026): Journal of Management and Digital Business
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jmdb.v6i1.3048

Abstract

This study investigates the impact of Artificial Intelligence (AI) adoption on the financial performance of banking and insurance firms listed on the Indonesia Stock Exchange from 2020 to 2024. Using a quantitative explanatory framework, the research analyzes a sample of 230 observations. AI adoption was measured through disclosure intensity in annual reports, while financial performance was evaluated across three dimensions: operational efficiency (BOPO), financial stability (Z-Score), and firm value (Tobin’s Q). A Fixed Effect Model was employed for statistical analysis, as dictated by the Hausman Test results. The results indicate that AI adoption has a significant positive impact on operational expenses (BOPO), suggesting that high infrastructure costs and initial implementation expenditures currently outweigh efficiency gains. However, AI adoption also shows a significant positive impact on firm value, supporting Signaling Theory, where investors reward digital transformation despite short-term costs. No significant impact was found on financial stability. These findings confirm an AI Productivity Paradox in the Indonesian emerging market, where the high cost of implementation creates a temporary financial burden but yields a market innovation premium.