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Scaling Up Micro Enterprises Key Success Factors and AI-Driven Development Model

Aptisi Transactions on Technopreneurship (ATT) · Vol. 8 No. 3 (2026) · hlm. 1105–1117

DOI
10.34306/att.v8i3.809
ISSN
2656-8888, 2655-8807
Terbit
2026-09-30
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

In the development of MSMEs, there is a gap: micro businesses dominate in terms of quantity, but there has been no significant increase in those that have scaled up to become small or medium-sized businesses. Therefore, this study aims to analyze key factors for increasing the scalability of micro businesses and to examine an artificial intelligence-based micro business development model for upgrading to small and medium-sized businesses. This study employs a mixed-method approach with an explanatory sequential design. The population includes micro-enterprises in four regions with the highest number of SMEs: West Java, Central Java, East Java, and Jakarta, totalling 2,387,288 micro enterprises. A sample of 385 respondents was selected using a sampling technique. Proportionate stratified random sampling was used to ensure a representative sample distribution across each province. Qualitative data were collected through purposive sampling with two groups of micro businesses: those that successfully scaled up and those that did not. The analysis results indicate that sustainable leadership and absorptive capacity significantly influence the scalability of micro businesses, while innovation capacity does not. Furthermore, it was found that AI adoption can strengthen the influence of innovation capacity on the scalability of micro businesses. Additionally, the findings indicate that there are six strategic steps to enhance the scalability of AI-based micro businesses awareness, digital readiness assessment, simple AI pilot project, scaling up digital systems, partnerships and ecosystems, and monitoring and feedback loops.

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  • Universitas Tidar
  • Universiti of Malaysia Sabah
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Rekan penulisOrganisasiArtikel bersama
Fitrah Sari IslamiUniversitas Tidar1
Gentur JalunggonoUniversitas Tidar1
Jihad Lukis PanjawaUniversitas Tidar1
Aditya Kumala DewiUniversitas Tidar1
Tri LestariUniversitas Tidar1
Safira Herdianty PrasetyoUniversitas Tidar1
Mohamad Isa Abd JalilUniversiti of Malaysia Sabah1
Mohd Ashari BakriUniversiti of Malaysia Sabah1
Zakiah HassanUniversiti of Malaysia Sabah1

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Sumber metadata: OAI-PMH (metadata jurnal) https://att.aptisi.or.id/index.php/att/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Scaling Up Micro Enterprises Key Success Factors and AI-Driven Development Model</dc:title>
	<dc:creator xml:lang="en">Atmaja, Hanung Eka</dc:creator>
	<dc:creator xml:lang="en">Nur, Sofyan Ashari</dc:creator>
	<dc:creator xml:lang="en">Hutajulu, Dinar Melani</dc:creator>
	<dc:creator xml:lang="en">Ikhwan, Khairul</dc:creator>
	<dc:creator xml:lang="en">Lada, Suddin</dc:creator>
	<dc:creator xml:lang="en">Aldianti, Raina Dewi</dc:creator>
	<dc:subject xml:lang="en">MSMEs</dc:subject>
	<dc:subject xml:lang="en">Scalability</dc:subject>
	<dc:subject xml:lang="en">Sustainable Leadership</dc:subject>
	<dc:subject xml:lang="en">Innovation Capacity</dc:subject>
	<dc:subject xml:lang="en">Absorptive Capacity</dc:subject>
	<dc:description xml:lang="en">In the development of MSMEs, there is a gap: micro businesses dominate in terms of quantity, but there has been no significant increase in those that have scaled up to become small or medium-sized businesses. Therefore, this study aims to analyze key factors for increasing the scalability of micro businesses and to examine an artificial intelligence-based micro business development model for upgrading to small and medium-sized businesses. This study employs a mixed-method approach with an explanatory sequential design. The population includes micro-enterprises in four regions with the highest number of SMEs: West Java, Central Java, East Java, and Jakarta, totalling 2,387,288 micro enterprises. A sample of 385 respondents was selected using a sampling technique. Proportionate stratified random sampling was used to ensure a representative sample distribution across each province. Qualitative data were collected through purposive sampling with two groups of micro businesses: those that successfully scaled up and those that did not. The analysis results indicate that sustainable leadership and absorptive capacity significantly influence the scalability of micro businesses, while innovation capacity does not. Furthermore, it was found that AI adoption can strengthen the influence of innovation capacity on the scalability of micro businesses. Additionally, the findings indicate that there are six strategic steps to enhance the scalability of AI-based micro businesses awareness, digital readiness assessment, simple AI pilot project, scaling up digital systems, partnerships and ecosystems, and monitoring and feedback loops.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2026-09-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://att.aptisi.or.id/index.php/att/article/view/809</dc:identifier>
	<dc:identifier>10.34306/att.v8i3.809</dc:identifier>
	<dc:source xml:lang="en">Aptisi Transactions on Technopreneurship (ATT); Vol. 8 No. 3 (2026): November; 1105-1117</dc:source>
	<dc:source xml:lang="id">Aptisi Transactions On Technopreneurship (ATT); Vol 8 No 3 (2026): November; 1105-1117</dc:source>
	<dc:source>2656-8888</dc:source>
	<dc:source>2655-8807</dc:source>
	<dc:source>10.34306/att.v8i3</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://att.aptisi.or.id/index.php/att/article/view/809/559</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Hanung Eka Atmaja, Sofyan Ashari Nur, Dinar Melani Hutajulu, Khairul Ikhwan, Suddin Lada, Raina Dewi Aldianti</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>