Leveraging Artificial Intelligence for Competitive Advantage in SMEs An Empirical Analysiss

Ferdiansyah, Januri; Abudaqa, Anas; Lansonia, April; Lansonia, April

doi:10.33050/atm.v9i2.2472

Akses terbuka Jurnal

Leveraging Artificial Intelligence for Competitive Advantage in SMEs An Empirical Analysiss

APTISI Transactions on Management (ATM) · Vol. 9 No. 2 (2025) · hlm. 140–151

DOI: 10.33050/atm.v9i2.2472
ISSN: 2622-6804, 2622-6812
Terbit: 2025-05-31
Penerbit: Pandawan
Bahasa: en
Lisensi: creativecommons.org/licenses/by-sa/4.0

Abstrak

Small and Medium Enterprises (SMEs) face significant challenges in a com- petitive market. Artificial Intelligence (AI) has emerged as a critical tool for enhancing business operations, yet the specific impact of AI on the competi- tive advantage of SMEs remains underexplored. This study aims to investigate how AI adoption influences the competitive advantage of SMEs, focusing on key performance indicators such as cost efficiency, market share, customer retention, and innovation. The study adopts a quantitative research approach using Par- tial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Data was collected from 200 SMEs across various industries that have implemented AI technologies. A survey was conducted to assess AI adoption and its impact on competitive advantage. The results indicate that AI adoption positively affects all four dimensions of competitive advantage. The strongest impact was observed on cost efficiency, followed by customer retention, inno- vation, and market share. The relationships between AI adoption and competi- tive advantage were statistically significant. AI adoption provides SMEs with a powerful means to enhance competitiveness by improving operational effi- ciency, customer loyalty, and innovation. Policymakers should support SMEs in overcoming adoption barriers to fully realize these benefits.

Kata kunci

Jaringan kolaborasi para penulis

16 penulis · 34 tautan kepenulisan bersama

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

Afiliasi tidak diketahui

Organisasi berbeda
Organisasi sama
Afiliasi tidak diketahui
Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel

Tampilkan sebagai tabel

Rekan penulis	Organisasi	Artikel bersama
Mohd Faiz Hilmi	Afiliasi tidak diketahui	4
Marwa Ahli	Afiliasi tidak diketahui	2
Reem Ahli	Afiliasi tidak diketahui	2
Matthias Austin	Afiliasi tidak diketahui	1
Mohamad Rakhmansyah	Afiliasi tidak diketahui	1
Ira Geraldina	Afiliasi tidak diketahui	1
Mohammad Miftah	Afiliasi tidak diketahui	1
Sipho Dlamini	Afiliasi tidak diketahui	1
Nanda Septiani	Afiliasi tidak diketahui	1
Adam Faturahman	Afiliasi tidak diketahui	1
Sri Lestari Pujiastuti	Afiliasi tidak diketahui	1
Steven Harazaki Lase	Afiliasi tidak diketahui	1
Mitra Trima Dessincer Putri	Afiliasi tidak diketahui	1

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 6 Nov 2026.

Metadata asli (oai_dc)

<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Leveraging Artificial Intelligence for Competitive Advantage in SMEs An Empirical Analysiss</dc:title>
	<dc:creator xml:lang="en">Ferdiansyah, Januri </dc:creator>
	<dc:creator xml:lang="en">Abudaqa, Anas</dc:creator>
	<dc:creator xml:lang="en">Lansonia, April</dc:creator>
	<dc:creator xml:lang="id">Lansonia, April</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">SMEs</dc:subject>
	<dc:subject xml:lang="en">Empirical Analysis</dc:subject>
	<dc:description xml:lang="en">Small and Medium Enterprises (SMEs) face significant challenges in a com- petitive market. Artificial Intelligence (AI) has emerged as a critical tool for enhancing business operations, yet the specific impact of AI on the competi- tive advantage of SMEs remains underexplored. This study aims to investigate how AI adoption influences the competitive advantage of SMEs, focusing on key performance indicators such as cost efficiency, market share, customer retention, and innovation. The study adopts a quantitative research approach using Par- tial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Data was collected from 200 SMEs across various industries that have implemented AI technologies. A survey was conducted to assess AI adoption and its impact on competitive advantage. The results indicate that AI adoption positively affects all four dimensions of competitive advantage. The strongest impact was observed on cost efficiency, followed by customer retention, inno- vation, and market share. The relationships between AI adoption and competi- tive advantage were statistically significant. AI adoption provides SMEs with a powerful means to enhance competitiveness by improving operational effi- ciency, customer loyalty, and innovation. Policymakers should support SMEs in overcoming adoption barriers to fully realize these benefits.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2025-05-31</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/2472</dc:identifier>
	<dc:identifier>10.33050/atm.v9i2.2472</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 9 No. 2 (2025): May; 140-151</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 9 No 2 (2025): May; 140-151</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:source>10.33050/atm.v9i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/2472/895</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Januri Ferdiansyah, Anas Abudaqa, April Lansonia (Authors)</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>