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Accelerating Economic Value In Developing Regions: A Meta Synthesis Of AI Adoption In Indonesian Smes And Implications For North Sulawesi's Digital Ecosystem Taroreh, Stefen R. A.; Makhfudi; Wahyuningsih; Wasilu, Irfan H.
Asia Pacific Journal of Interdisciplinary Studies Vol. 1 No. 2 (2025): Asia Pacific Journal of Interdisciplinary Studies
Publisher : Yayasan Bina Lentera Insan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57207/qtbzar31

Abstract

The integration of Artificial Intelligence (AI) into Small and Medium Enterprises (SMEs) offers a pathway to economic acceleration, yet a significant "digital divide" persists in developing archipelagic regions. This study aims to bridge the gap between foundational digitization and advanced AI-driven value creation by constructing a strategic roadmap specifically for the North Sulawesi digital ecosystem. The research employs a qualitative meta-synthesis design, systematically analyzing 22 peer-reviewed empirical studies published between 2021 and 2025. Data were extracted from high-quality national journals (SINTA-indexed) and synthesized using the Technology-Organization-Environment (TOE) framework to map technological patterns, organizational capabilities, and environmental pressures. The synthesis reveals a critical "adoption dichotomy" within the Indonesian landscape. While national-level data indicate a shift toward predictive analytics and automation, North Sulawesi’s SMEs remain situated in the "onboarding" phase, characterized by reliance on transactional tools (QRIS) and static social media profiling. The analysis identifies organizational readiness—specifically human capital and digital literacy—as the primary mediator determining whether technological adoption translates into measurable business performance. Furthermore, existing policy frameworks focused solely on infrastructure are deemed insufficient for advanced AI integration. To accelerate economic value, regional stakeholders must pivot from a provider-centric model to an enabler-centric approach. The study proposes a holistic framework that prioritizes subsidized digital upskilling and the establishment of regional regulatory sandboxes. These interventions are essential to mitigate resource constraints and facilitate the transition from simple digitization to intelligent economic resilience in developing regions.
Konsumsi Berkelanjutan di Era Digital: Bagaimana Teknologi AI Mendorong Perilaku Konsumen Hijau Taroreh, Stefen; Wasilu, Irfan H.; Pratama, Risky; Makhfudi, Makhfudi
Jurnal Lentera Bisnis dan Kewirausahaan Vol. 3 No. 1 (2026): Jurnal Lentera Bisnis dan Kewirausahaan
Publisher : Yayasan Bina Lentera Insan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57207/ag75fd93

Abstract

Perkembangan kecerdasan buatan (AI) semakin memengaruhi perilaku konsumen di era digital, termasuk dalam praktik konsumsi berkelanjutan. Artikel ini bertujuan mensintesis temuan empiris mengenai pengaruh AI terhadap perilaku konsumen hijau melalui pendekatan narrative review. Penelitian ini menggunakan pendekatan narrative review dengan mensintesis 43 artikel ilmiah yang dipilih berdasarkan relevansinya terhadap konsumsi berkelanjutan dan penerapan AI. Hasil sintesis menunjukkan bahwa AI meningkatkan personalisasi layanan, kualitas informasi keberlanjutan, serta mendukung penerapan model bisnis sirkular. Pengaruh AI terhadap perilaku konsumen hijau berlangsung melalui peningkatan kepercayaan terhadap informasi keberlanjutan, pengurangan asimetri informasi, dan penyediaan rekomendasi yang sesuai dengan preferensi konsumen. Namun demikian, isu privasi data, bias algoritma, skeptisisme konsumen, serta kesenjangan antara niat dan perilaku masih menjadi tantangan utama dalam implementasi AI untuk mendorong konsumsi berkelanjutan. Studi ini menawarkan sintesis konseptual yang menjelaskan mekanisme AI dalam membentuk perilaku konsumen hijau melalui integrasi personalisasi, transparansi informasi, dan faktor psikologis, serta memberikan implikasi bagi pengembangan strategi pemasaran berkelanjutan berbasis AI.