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Leveraging Artificial Intelligence for Competitive Advantage in Indonesian SMEs

APTISI Transactions on Management (ATM) · Vol. 9 No. 3 (2025) · hlm. 302–312

DOI
10.33050/atm.v9i3.2524
ISSN
2622-6804, 2622-6812
Terbit
2025-10-23
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Artificial Intelligence (AI) has emerged as a transformative force in modern business, offering significant opportunities to enhance operational efficiency, improve customer engagement, and foster innovation. In Indonesia, Small and Medium Enterprises (SMEs) play a crucial role in driving economic growth and employment, yet their adoption of AI technologies remains limited due to resource constraints, lack of expertise, and uncertainty about return on investment. This study aims to investigate how AI adoption can be leveraged to achieve competitive advantage in Indonesian SMEs. Using a mixed-methods approach, data were collected through surveys and in-depth interviews with SME owners across various sectors. The findings indicate that AI applications such as predictive analytics, chatbot-based customer service, and demand forecasting have contributed to increased productivity, cost efficiency, and market competitiveness. The study provides a practical framework for AI implementation tailored to the needs and capacities of Indonesian SMEs, offering insights for business practitioners, policymakers, and researchers seeking to advance digital transformation in the SME sector.

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34 penulis · 85 tautan kepenulisan bersama · 29 lintas organisasi

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  • Universitas Raharja
  • Universitas PGRI Palembang
  • Universitas Muhammadiyah Jember
  • Universidade da Paz
  • Universitas 17 Agustus 1945 Surabaya
  • Universitas Muhammadiyah Berau
  • Universitas Sebelas April
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Arik SusbiyaniUniversitas Muhammadiyah Jember1
Evi LestariUniversitas Muhammadiyah Berau1
Fauziyah - FauziyahUniversitas Muhammadiyah Jember1
Nurul QomariahUniversitas Muhammadiyah Jember1
Yohanes Sri GunturUniversidade da Paz1
Ayun MaduwinartiUniversitas 17 Agustus 1945 Surabaya1
Cristino GusmaoUniversidade da Paz1
I.G.N. Andhika MahendraUniversitas 17 Agustus 1945 Surabaya1
Hetilaniar HetilaniarUniversitas PGRI Palembang1
Dessy WardiahUniversitas PGRI Palembang1
Rizky Charles WijayaAfiliasi tidak diketahui1
Brigitta CallulaAfiliasi tidak diketahui1
Greisy JacquelineAfiliasi tidak diketahui1
Brigitta CallulaAfiliasi tidak diketahui1
Eirene SanaAfiliasi tidak diketahui1
Julia NathalieAfiliasi tidak diketahui1
Qurotul AiniUniversitas Raharja1
Untung RahardjaUniversitas Raharja1
Paroli ParoliUniversitas Sebelas April1
Agung RizkyUniversitas Raharja1
Jonathan ParkerAfiliasi tidak diketahui1
Nuke Puji Lestari SantosoUniversitas Raharja1
Sherli TriandariUniversitas Raharja1
Fhia AmeliaUniversitas Raharja1
Ramzi Zainum IkhsanUniversitas Raharja1
Ariana DelhiAfiliasi tidak diketahui1
Herman HermanUniversity of HKBP Nommensen1
Rizky SebastianAfiliasi tidak diketahui1
Raden Roro Ayu MetariniUniversitas Pamulang1
Hermansyah HermansyahUniversitas PGRI Palembang1
Evi RosmiyatiUniversitas PGRI Palembang1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://ijc.ilearning.co/ATM/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">Leveraging Artificial Intelligence for Competitive Advantage in Indonesian SMEs</dc:title>
	<dc:creator xml:lang="en">Jaya, Aswadi</dc:creator>
	<dc:creator xml:lang="en">Cahyono, Dwi</dc:creator>
	<dc:creator xml:lang="en">Maria, Lily</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">Competitive Advantage</dc:subject>
	<dc:subject xml:lang="en">SMEs</dc:subject>
	<dc:subject xml:lang="en">Digital Transformation</dc:subject>
	<dc:description xml:lang="en">Artificial Intelligence (AI) has emerged as a transformative force in modern business, offering significant opportunities to enhance operational efficiency, improve customer engagement, and foster innovation. In Indonesia, Small and Medium Enterprises (SMEs) play a crucial role in driving economic growth and employment, yet their adoption of AI technologies remains limited due to resource constraints, lack of expertise, and uncertainty about return on investment. This study aims to investigate how AI adoption can be leveraged to achieve competitive advantage in Indonesian SMEs. Using a mixed-methods approach, data were collected through surveys and in-depth interviews with SME owners across various sectors. The findings indicate that AI applications such as predictive analytics, chatbot-based customer service, and demand forecasting have contributed to increased productivity, cost efficiency, and market competitiveness. The study provides a practical framework for AI implementation tailored to the needs and capacities of Indonesian SMEs, offering insights for business practitioners, policymakers, and researchers seeking to advance digital transformation in the SME sector.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2025-10-23</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijc.ilearning.co/ATM/article/view/2524</dc:identifier>
	<dc:identifier>10.33050/atm.v9i3.2524</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 9 No. 3 (2025): September; 302-312</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 9 No 3 (2025): September; 302-312</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:source>10.33050/atm.v10i3</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/2524/911</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Aswadi Jaya, Dwi Cahyono, Lily Maria (Authors)</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>