Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Archipel: Journal of Indonesian Interdisciplinary Studies
Adrian ED Serang
Perbanas Institute Jakarta
Humanities Economics, Econometrics & Finance Education Environmental Science Social Sciences

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Green Management Strategies for Sustainable Competitive Advantage in MSMEs Adrian ED Serang
Archipel: Journal of Indonesian Interdisciplinary Studies Vol. 2 No. 1 (2026): Archipel - September
Publisher : PT. AVID MEDIA INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65739/archipel.v2i1.85

Abstract

Micro, small, and medium enterprises (MSMEs) constitute the backbone of most emerging economies, yet they lag behind larger firms in adopting environmentally responsible practices because of resource, knowledge, and managerial-capability constraints. This study examines how green management strategies, encompassing green human resource management, green innovation, green supply chain management, green financial management, and green intellectual capital, contribute to sustainable competitive advantage in MSMEs. Using a systematic literature review and conceptual synthesis of twenty-five peer-reviewed studies published mainly between 2021 and 2026, this article develops an integrative framework grounded in the Natural Resource-Based View and the Resource-Based View. The novelty of the study lies in its cross-sectoral synthesis, which links five previously fragmented streams of green management research, namely human resource, innovation, supply chain, financial, and intellectual-capital dimensions, into a single MSME-specific model, an integration that has not been jointly examined despite each dimension being studied in isolation. The findings indicate that green management strategies enhance competitive advantage primarily through mediating mechanisms such as eco-innovation, green knowledge acquisition, and technological adaptability, moderated by top-management environmental commitment and institutional pressure. The study concludes that MSMEs adopting integrated green strategies achieve superior legitimacy, cost efficiency, and market differentiation, offering practical implications for owners, policymakers, and support institutions seeking to accelerate green transitions among resource-constrained enterprises.
The Role of Digital Footprints in Determining the Creditworthiness and Sustainability of MSMEs: A Risk-Based Scoring Approach Adrian ED Serang
Archipel: Journal of Indonesian Interdisciplinary Studies Vol. 2 No. 2 (2026): Archipel - October
Publisher : PT. AVID MEDIA INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65739/archipel.v2i2.89

Abstract

Micro, Small, and Medium Enterprises (MSMEs) face a structural financing gap because they lack formal credit histories, financial statements, and collateral. At the same time, the digitalization of transactions, payments, and e-commerce generates digital footprints that can serve as signals of creditworthiness, yet their use remains fragmented and is rarely linked to business sustainability. This study aims to develop a digital-footprint-based risk-based scoring framework that assesses both the creditworthiness and the sustainability of MSMEs. It adopts a qualitative design in the form of a systematic literature review following the PRISMA 2020 protocol, covering 30 publications (2021–2026), followed by thematic analysis and conceptual synthesis. The synthesis shows that digital payment data, e-commerce transaction behavior, and business network relationships consistently strengthen the predictive power of models compared with conventional financial data, particularly for unbanked MSMEs. However, higher accuracy does not automatically translate into inclusion: data bias, limited model explainability, and privacy risks give rise to a paradox of digital financial inclusion. Theoretically, this article extends information asymmetry theory by positioning digital footprints as codified soft information. Practically, it offers a layered scoring architecture that integrates default risk and business resilience
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