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Advancing Management Strategies with AI and IoT for Operational Excellence and Competitive Edge

APTISI Transactions on Management (ATM) · Vol. 9 No. 1 (2025) · hlm. 50–59

DOI
10.33050/atm.v9i1.2396
ISSN
2622-6804, 2622-6812
Terbit
2025-01-29
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

As organizations face increasing competition and technological advancements, optimizing operations and managing resources efficiently is crucial for maintaining a competitive edge. The integration of emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) enhances efficiency, improves resource allocation, and drives growth. This study explores how AI and IoT adoption optimizes business processes, improves decision-making, and fosters a competitive advantage Using a quantitative approach, data from 200 executives in AI and IoT-implemented industries were analyzed. The analysis, conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), indicates that AI and IoT significantly enhance efficiency, resource utilization, and overall performance. Real-time monitoring and predictive analytics improve market alignment and operational trends The findings suggest that organizations adopting AI and IoT can better navigate dynamic business environments, enhance productivity, and sustain growth. Moreover, fostering innovation and continuous technological improvement is essential. This research underscores AI and IoT’s transformative potential in reshaping business operations and securing a competitive edge. Future research should explore these technologies' industry-specific impacts and broader innovation potential.

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  • Universitas Raharja
  • Universitas Trisakti
  • Universitas Esa Unggul
  • Multimedia Nusantara University
  • George Washington University
  • Tadulako University
  • University of HKBP Nommensen
  • Organisasi lain
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Tatik MariyantiUniversitas Trisakti2
Nuke Puji Lestari SantosoUniversitas Raharja2
Nur AzizahUniversitas Raharja1
Marviola Grace HardiniUniversitas Raharja1
Dewi ImmaniarUniversitas Raharja1
Dedeh SupriyantiUniversitas Raharja1
Wahyuningsih WahyuningsihTadulako University1
Tarisya RamadhanUniversitas Raharja1
Fifin AlfianaUniversitas Raharja1
Nimatul KhofifahUniversitas Raharja1
Nadia Nur AzizahUniversitas Raharja1
Nova RamadhonaUniversitas Raharja1
Sadan SadanAfiliasi tidak diketahui1
Nuraini Diah NoviatiUniversitas Esa Unggul1
Fengki Eka PutraAfiliasi tidak diketahui1
Ridhuan AhsanitaqwimUniversitas Raharja1
Susy Alestriani SibagariangUniversity of HKBP Nommensen1
Anthony RodriguezAfiliasi tidak diketahui1
Yusrawati. .Universitas Trisakti1
Yulia Putri Ayu SanjayaUniversitas Raharja1
Po Abas SunaryaUniversitas Raharja1
Rasyid TarmiziUniversitas Raharja1
Untung RahardjaUniversitas Raharja1
Mohammad AnnasMultimedia Nusantara University1
Cicilia Sriliasta BangunUniversitas Esa Unggul1
Tessa HandraMultimedia Nusantara University1
Muhammad AfifAfiliasi tidak diketahui1
Ellen DolanThe University of Queensland1
Muhammad Faris AfifAfiliasi tidak diketahui1
Dwi Nur RamadhaAfiliasi tidak diketahui1
Richard Andre SunarjoUniversitas Raharja1
Omar Arif Al-KamariUniversitas Raharja1
Afif Aditya DarmawanUniversitas Raharja1
Adam FaturahmanUniversitas Raharja1
Sri Lestari PujiastutiIndonesia Open University1

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">Advancing Management Strategies with AI and IoT for Operational Excellence and Competitive Edge</dc:title>
	<dc:creator xml:lang="en">Zulkarnain, Andy</dc:creator>
	<dc:creator xml:lang="en">Zainum Ikhsan, Ramzi</dc:creator>
	<dc:creator xml:lang="en">Septiani, Nanda</dc:creator>
	<dc:creator xml:lang="en">Victorianda</dc:creator>
	<dc:creator xml:lang="id">Victorianda</dc:creator>
	<dc:subject xml:lang="en">Management Strategies</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligence (AI)</dc:subject>
	<dc:subject xml:lang="en">Internet of Things (IoT)</dc:subject>
	<dc:subject xml:lang="en">Operational Excellence</dc:subject>
	<dc:subject xml:lang="en">Competitive Edge</dc:subject>
	<dc:description xml:lang="en">
As organizations face increasing competition and technological advancements, optimizing operations and managing resources efficiently is crucial for maintaining a competitive edge. The integration of emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) enhances efficiency, improves resource allocation, and drives growth. This study explores how AI and IoT adoption optimizes business processes, improves decision-making, and fosters a competitive advantage Using a quantitative approach, data from 200 executives in AI and IoT-implemented industries were analyzed. The analysis, conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), indicates that AI and IoT significantly enhance efficiency, resource utilization, and overall performance. Real-time monitoring and predictive analytics improve market alignment and operational trends The findings suggest that organizations adopting AI and IoT can better navigate dynamic business environments, enhance productivity, and sustain growth. Moreover, fostering innovation and continuous technological improvement is essential. This research underscores AI and IoT’s transformative potential in reshaping business operations and securing a competitive edge. Future research should explore these technologies' industry-specific impacts and broader innovation potential.
</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2025-01-29</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/2396</dc:identifier>
	<dc:identifier>10.33050/atm.v9i1.2396</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 9 No. 1 (2025): January; 50-59</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 9 No 1 (2025): January; 50-59</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:source>10.33050/atm.v9i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/2396/871</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Andy Zulkarnain, Ramzi Zainum Ikhsan, Nanda Septiani, Victorianda (Authors)</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>