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Unveiling New Horizons: AI-Driven Decision Support Systems in HRM - A Novel Bibliometric Perspective

Aptisi Transactions on Technopreneurship (ATT) · Vol. 7 No. 1 (2025) · hlm. 252–263

DOI
10.34306/att.v7i1.561
ISSN
2656-8888, 2655-8807
Terbit
2025-03-07
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

The integration of Artificial Intelligence (AI)-driven Decision Support Systems (DSS) in Human Resources Management (HRM) has become crucial for optimizing workforce management and enhancing decision-making processes. This bibliometric analysis investigates the research landscape of AI-driven DSS in HRM from 2015 to 2024, using data from the Dimensions database and analyzed through VOSviewer. Key trends, influential authors, and significant publications are identified, revealing the dominant roles of the United States, China, and India, with institutions like MIT, Stanford University, and IIT Delhi leading in productivity and impact. Notable contributors such as Dwivedi, Lowry, and Bose are highlighted for their practical and theoretical advancements in the field. Influential journals including "Decision Support Systems", "Information & Management", and "Sustainability" are identified as shaping the research landscape. The findings emphasize the transformative impact of AI-driven DSS on HRM practices, offering insights into future research opportunities and applications. This study provides a comprehensive framework for understanding the current state and future directions of AI-driven DSS in HRM, contributing to both academic and practical advancements.

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  • Universitas Raharja
  • Maranatha Christian University
  • Universitas Ichsan Gorontalo
  • Universitas Catur Insan Cendekia Cirebon
  • State University of Semarang
  • Universitas Bina Insan
  • Universitas Muhammadiyah Prof Dr Hamka
  • Organisasi lain
  • 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 penulisOrganisasiArtikel bersama
Chandra LukitaUniversitas Catur Insan Cendekia Cirebon2
Ninda LutfianiUniversitas Raharja1
Jihan ZanubiyaAfiliasi tidak diketahui1
Fajriannoor FananiState University of Semarang1
Henrik Jeldtoft JensenAfiliasi tidak diketahui1
Shofiyul MillahUniversitas Raharja1
Ellen DolanThe University of Queensland1
Ronal ApriantoUniversitas Bina Insan1
Asep SutarmanUniversitas Muhammadiyah Prof Dr Hamka1
Rifqa Nabila MutiUniversitas Raharja1
Ariesya AprilliaMaranatha Christian University1
Chandra KuswoyoMaranatha Christian University1
Allen KristiawanMaranatha Christian University1
Ridan Ahsani Te AwhinaAfiliasi tidak diketahui1
Raka Daniswara RadhikaHochschule Bremen1
Ika Yuni PurnamaAfiliasi tidak diketahui1
Dimas PhetorantAfiliasi tidak diketahui1
Gelar Gelora MestikaState University of Jakarta1
Thabo MkhizeAfiliasi tidak diketahui1
Anandha FitrianiUniversitas Raharja1
Thabo MkhizeAfiliasi tidak diketahui1
Rio Wahyudin AnugrahUniversitas Raharja1
Dwi Nur RamadhaAfiliasi tidak diketahui1
Nanda SeptianiUniversitas Raharja1
Omar Arif Al-KamariUniversitas Raharja1
Afif Aditya DarmawanUniversitas Raharja1
Lista MeriaUniversitas Esa Unggul1
Dwi AndayaniUniversitas Muhammadiyah Jakarta1
Chua Toh HuaAfiliasi tidak diketahui1

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://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">Unveiling New Horizons: AI-Driven Decision Support Systems in HRM - A Novel Bibliometric Perspective</dc:title>
	<dc:creator xml:lang="en">Shantilawati, Irma</dc:creator>
	<dc:creator xml:lang="en">Suri, Oryza Intan</dc:creator>
	<dc:creator xml:lang="en">Sunarjo, Richard Andre</dc:creator>
	<dc:creator xml:lang="en">Anjani, Sheila Aulia</dc:creator>
	<dc:creator xml:lang="en">Robert, Dariari</dc:creator>
	<dc:subject xml:lang="en">AI-driven Decision Support Systems</dc:subject>
	<dc:subject xml:lang="en">Human Resources Management</dc:subject>
	<dc:subject xml:lang="en">Bibliometric Analysis</dc:subject>
	<dc:subject xml:lang="en">VOSviewer</dc:subject>
	<dc:subject xml:lang="en">Dimensions Database</dc:subject>
	<dc:description xml:lang="en">The integration of Artificial Intelligence (AI)-driven Decision Support Systems (DSS) in Human Resources Management (HRM) has become crucial for optimizing workforce management and enhancing decision-making processes. This bibliometric analysis investigates the research landscape of AI-driven DSS in HRM from 2015 to 2024, using data from the Dimensions database and analyzed through VOSviewer. Key trends, influential authors, and significant publications are identified, revealing the dominant roles of the United States, China, and India, with institutions like MIT, Stanford University, and IIT Delhi leading in productivity and impact. Notable contributors such as Dwivedi, Lowry, and Bose are highlighted for their practical and theoretical advancements in the field. Influential journals including "Decision Support Systems", "Information &amp;amp; Management", and "Sustainability" are identified as shaping the research landscape. The findings emphasize the transformative impact of AI-driven DSS on HRM practices, offering insights into future research opportunities and applications. This study provides a comprehensive framework for understanding the current state and future directions of AI-driven DSS in HRM, contributing to both academic and practical advancements.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2025-03-07</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/561</dc:identifier>
	<dc:identifier>10.34306/att.v7i1.561</dc:identifier>
	<dc:source xml:lang="en">Aptisi Transactions on Technopreneurship (ATT); Vol. 7 No. 1 (2025): March; 252–263</dc:source>
	<dc:source xml:lang="id">Aptisi Transactions On Technopreneurship (ATT); Vol 7 No 1 (2025): March; 252–263</dc:source>
	<dc:source>2656-8888</dc:source>
	<dc:source>2655-8807</dc:source>
	<dc:source>10.34306/att.v7i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://att.aptisi.or.id/index.php/att/article/view/561/328</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Irma Shantilawati, Oryza Intan Suri, Richard Andre Sunardjo, Sheila Aulia Anjani, Dariari Robert</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>