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Dynamic capabilities and the governance of energy resilience: Indonesia’s adaptive transition under the RUPTL 2025–2034 Batubara, Akhmad Feiral Rizky; Purba, John Tampil
Jurnal Ekonomi Perusahaan Vol. 32 No. 2 (2025): Sept 2025 - Feb 2026
Publisher : Business and Entrepreneurship Department, Kwik Kian Gie School of Business and Information Technology, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/jep.v32i2.1626

Abstract

This study analyzes how Indonesia governs energy resilience under the RUPTL 2025–2034 regulation during the country's adaptive transition using the dynamic capabilities approach. It investigates the operationalization of the sensing, seizing, and transforming capabilities, which are the flexible portion of the governance policy, organizational, and technological pillars in the adaptive transitions framework toward the envisioned sustainable energy future. Using strategic management and international case studies on energy transitions, this work highlights how Indonesia adjusts the adaptable and competitive components of its energy systems to respond to shifts in the global energy market. The dynamic capabilities and governance flexibility construct links energy resilience security and environmental sustainability, providing emerging economies valuable insights. Finally, the study emphasizes transition complexity and offers energy policy and energy transition managers concrete solutions.
Corporate Digital Responsibility Framework for Successful AI Implementation in News Media Wibowo, Arief Adi; Purba, John Tampil
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 1 (2026): JIMKES Edisi January 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i1.4550

Abstract

This study aims to identify the key components of Corporate Digital Responsibility (CDR) that are most relevant to AI implementation in news media organizations and to examine the relationships between these dimensions and the mediating factors that shape implementation outcomes. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling to test a framework that integrates digital ethics, responsible innovation, and media sustainability with media credibility, operational effectiveness, and business sustainability as mediating variables toward AI implementation success. The findings indicate that CDR dimensions play a significant role in strengthening credibility, improving operational performance, and supporting long-term business sustainability, which collectively contribute to more effective AI implementation. The results highlight that ethical governance, innovation capability, and sustainability orientation not only influence AI adoption directly but also operate through key organizational mechanisms that enhance trust, efficiency, and resilience. These findings imply that news media organizations need to adopt an integrated and balanced approach to digital responsibility in order to ensure that AI integration supports both technological advancement and journalistic values while maintaining long-term organizational viability.