Small Business Accounting Management and Entrepreneurship Review
https://www.dhsjournal.id/index.php/SBAMER
<p><strong>Small Business Accounting Management and Entrepreneurship Review (SBAMER)</strong> is a blind peer-reviewed journal that publishes theoretical, empirical, and experimental research papers. The Journal encourages using economic, financial, and sociological theories to investigate, analyze, and accurately explain issues in a small business entity within the legitimate institutional structure. The distributed research articles in the Journal will empower researchers to contribute to the discipline of accounting, management, business, and entrepreneurship, especially for small businesses. SBAMER accepts papers in <strong>English</strong> and <strong>Bahasa Indonesia</strong>. SBAMER publishes twice yearly in <strong>February </strong>(September-February) <strong>and August </strong>(March-August)<strong>.</strong></p> <p><img src="/public/site/images/admindhs/open_access9.png"></p> <p><a title="ISSN 2775-9261 (online)" href="https://portal.issn.org/resource/ISSN/2775-9261" target="_blank" rel="noopener"><strong>E-ISSN 2775-9261</strong></a></p>en-USeditor.sbamer@dhsjournal.id (Editor)editor.sbamer@dhsjournal.id (Technical Support)Sat, 28 Feb 2026 00:00:00 +0000OJS 3.1.2.4http://blogs.law.harvard.edu/tech/rss60Factors Affecting the Performance of MSEs with the Mediating Role of Institutional support Evidenced from Samara-Logia city Administration – Ethiopia
https://www.dhsjournal.id/index.php/SBAMER/article/view/427
<p><strong><em>Purpose:</em></strong><em> The purpose of this study is to examine the factors that influence the performance of micro and small enterprises (MSEs) in Samara-Logia city administration, Afar Region. Unlike previous research that mainly focused on enterprise suitability, this study seeks to fill a gap in the literature by highlighting the mediating role of institutional support in shaping enterprise outcomes.</em></p> <p><strong><em>Method:</em></strong><em> To achieve this objective, the study employed an explanatory research design. Data were collected through a five-point Likert scale questionnaire administered to 212 enterprises, selected using stratified and simple random sampling techniques. The analysis was conducted using structural equation modeling with Smart PLS 4.0, ensuring the reliability and validity of the results while confirming the absence of collinearity issues.</em></p> <p><strong><em>Findings:</em></strong><em> The findings reveal that managerial skills, technology, infrastructure, finance, and social factors all exert a positive and significant influence on the performance of MSEs. Importantly, these factors affect performance both directly and indirectly through the mediating role of institutional support. The model explains 69.9% of the variance in MSE performance, underscoring the robustness of the results.</em></p> <p><strong><em>Implication:</em></strong><em> Based on these findings, the study recommends that policymakers, support institutions, and MSE owners should prioritize strengthening managerial skills, expanding access to finance, improving infrastructure, enhancing technological adoption, and leveraging social networks. At the same time, strong institutional support systems must be ensured, as these combined efforts are critical to improving the performance and sustainability of MSEs.</em></p> <p><strong><em>Originality:</em></strong><em> The originality of this study lies in its focus on institutional support as a mediating factor, which has been largely overlooked in prior research. By integrating this dimension into the analysis, the study provides a more comprehensive understanding of how various success factors interact to shape MSE performance, thereby contributing new insights to the existing body of knowledge.</em></p>Abdu Kamil, Senapathy Marisennayya
Copyright (c) 2026 Abdu Kamil, Senapathy Marisennayya
https://creativecommons.org/licenses/by/4.0
https://www.dhsjournal.id/index.php/SBAMER/article/view/427Thu, 26 Feb 2026 00:00:00 +0000Pemanfaatan Kecerdasan Buatan Dalam Proses Akuntansi: Tinjauan Literatur Sistematis dengan PRISMA
https://www.dhsjournal.id/index.php/SBAMER/article/view/447
<p><strong><em>Purpose:</em></strong><em> This research aims to systematically identify, analyze, and synthesize scientific literature on the use of artificial intelligence in accounting. The primary focus is on how AI is used in various accounting processes and the extent to which this technology contributes to the development of modern accounting practices.</em></p> <p><strong><em>Method:</em></strong><em> The method used was a Systematic Literature Review (SLR) following the PRISMA guidelines. The selection process was conducted on articles from various trusted scientific databases, resulting in ten articles meeting the inclusion criteria for further analysis.</em></p> <p><strong><em>Findings:</em></strong><em> The study results show that AI has been widely applied in accounting journal automation, fraud detection, AI-based audits, and automated financial reporting. AI implementation has been shown to improve the efficiency, accuracy, and speed of accounting processes. However, the study also uncovered significant challenges, such as human resource resistance, the need for adequate technological infrastructure, and data security and privacy issues.</em></p> <p><strong><em>Implication:</em></strong><em> These findings confirm that the use of AI has the potential to transform accounting practices by delivering substantial performance improvements. However, the success of AI implementation depends heavily on an organization's readiness to overcome barriers related to human resources, technology, and ethical data use.</em></p> <p><strong><em>Originality:</em></strong><em> The uniqueness of this research lies in its systematic synthesis of existing literature, providing a comprehensive overview of the opportunities and challenges of utilizing AI in accounting. Thus, this research not only enriches academic discourse but also opens the door to further, more in-depth research on the integration of AI into accounting practice.</em></p> <p><em> </em></p> <p><strong>ABSTRAK</strong></p> <p><strong>Tujuan:</strong> Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, dan mensintesis literatur ilmiah mengenai pemanfaatan kecerdasan buatan dalam akuntansi secara sistematis. Fokus utama diarahkan pada bagaimana AI digunakan dalam berbagai proses akuntansi dan sejauh mana teknologi ini memberikan kontribusi terhadap perkembangan praktik akuntansi modern.</p> <p><strong>Metode:</strong> Metode yang digunakan adalah <em>Systematic Literature Review</em> (SLR) dengan mengikuti panduan PRISMA. Proses seleksi dilakukan terhadap artikel dari berbagai basis data ilmiah terpercaya, dan diperoleh sepuluh artikel yang memenuhi kriteria inklusi untuk dianalisis lebih lanjut.</p> <p><strong>Temuan:</strong> Hasil kajian menunjukkan bahwa AI telah diaplikasikan secara luas dalam otomasi jurnal akuntansi, deteksi kecurangan, audit berbasis AI, serta pelaporan keuangan otomatis. Implementasi AI terbukti meningkatkan efisiensi, akurasi, dan kecepatan proses akuntansi. Namun, penelitian juga mengungkap adanya tantangan yang signifikan, seperti resistensi sumber daya manusia, kebutuhan infrastruktur teknologi yang memadai, serta isu keamanan dan privasi data.</p> <p><strong>Implikasi:</strong> Temuan ini menegaskan bahwa pemanfaatan AI berpotensi mentransformasi praktik akuntansi dengan memberikan peningkatan kinerja yang substansial. Meski demikian, keberhasilan penerapan AI sangat bergantung pada kesiapan organisasi dalam mengatasi hambatan terkait sumber daya manusia, teknologi, dan etika penggunaan data.</p> <p><strong>Orisinalitas:</strong> Keaslian penelitian ini terletak pada penyajian sintesis sistematis atas literatur yang ada, sehingga memberikan gambaran komprehensif mengenai peluang dan tantangan pemanfaatan AI dalam akuntansi. Dengan demikian, penelitian ini tidak hanya memperkaya wacana akademik, tetapi juga membuka ruang bagi penelitian lanjutan yang lebih mendalam mengenai integrasi AI dalam praktik akuntansi.</p> <p><strong>Kata Kunci:</strong> kecerdasan buatan, akuntansi, PRISMA.</p>Diah Hari Suryaningrum, Endah Susilowati, Sari Andayani
Copyright (c) 2026 Diah Suryaningrum, Endah Susilowati, Sari Andayani
https://creativecommons.org/licenses/by/4.0
https://www.dhsjournal.id/index.php/SBAMER/article/view/447Wed, 25 Feb 2026 00:00:00 +0000