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Integrating Artificial Intelligence in Human Resource Management: A SmartPLS Approach for Entrepreneurial Success

Aptisi Transactions on Technopreneurship (ATT) · Vol. 5 No. 3 (2023) · hlm. 334–345

DOI
10.34306/att.v5i3.355
ISSN
2656-8888, 2655-8807
Terbit
2023-11-30
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

The primary focus of this research is to examine the pivotal role of Artificial Intelligence (AI) in driving business transformation, with a specific emphasis on its impact within the realm of human resource management (HR). The study seeks to assess the substantial influence brought about by the incorporation of AI in HR. Online data collection involved 110 respondents with professional backgrounds in HR. In pursuit of enhancing entrepreneurial success, the research adopts the Smart Partial Least Square (Smart PLS) approach to seamlessly integrate artificial intelligence into HR management. The analysis using Smart PLS delves into the examination of AI's effects on the recruitment process, employee development, and performance management. The findings of the research reveal that the utilization of AI in HR significantly expedites processes, enhances decision accuracy, and positively contributes to the attainment of entrepreneurial objectives. The practical implications of these outcomes are thoroughly discussed, and potential avenues for future research are outlined. This not only provides valuable insights for stakeholders but also offers guidance on optimizing the application of AI in the context of human resource management.

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  • Universitas Raharja
  • Satya Wacana Christian University
  • Universitas Gadjah Mada
  • 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
Danny ManonggaSatya Wacana Christian University14
Ninda LutfianiUniversitas Raharja13
Irwan SembiringSatya Wacana Christian University12
Nuke Puji Lestari SantosoUniversitas Raharja10
Alfiah KhoirunisaUniversitas Raharja8
Po Abas SunaryaAfiliasi tidak diketahui8
Dwi ApriliasariAfiliasi tidak diketahui6
Agung RizkyAfiliasi tidak diketahui5
Sutarto WijonoAfiliasi tidak diketahui5
Shofiyul MillahAfiliasi tidak diketahui5
Untung RahardjaUniversitas Raharja3
Muhtarom MuhtaromAfiliasi tidak diketahui3
Nesti Anggraini SantosoAfiliasi tidak diketahui3
Ihsan Nuril HikamAfiliasi tidak diketahui3
Adam FaturahmanAfiliasi tidak diketahui3
Hindriyanto Dwi PurnomoSatya Wacana Christian University3
Alwiyah AlwiyahAfiliasi tidak diketahui3
Desy AprianiAfiliasi tidak diketahui2
Mohamad RakhmansyahAfiliasi tidak diketahui2
Umi NarimawatiAfiliasi tidak diketahui2
Joko SiswantoAfiliasi tidak diketahui2
Eka Purnama HarahapUniversitas Raharja2
Ferdi AntonioAfiliasi tidak diketahui2
Fitra Putri OgandaUniversitas Raharja2
Tarisya RamadhanAfiliasi tidak diketahui2
Raihan RaihanAfiliasi tidak diketahui2
Farida AgustinAfiliasi tidak diketahui2
Marviola HardiniAfiliasi tidak diketahui2
Ahmad RamadanAfiliasi tidak diketahui2
Sudaryono SudaryonoUniversitas Gadjah Mada1
Firman HanafiUniversitas Raharja1
Mukti BudiartoUniversitas Raharja1
Siti Nurindah SariAfiliasi tidak diketahui1
Rusli Ginting MuntheAfiliasi tidak diketahui1
Aan KaniviaAfiliasi 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">Integrating Artificial Intelligence in Human Resource Management: A SmartPLS Approach for Entrepreneurial Success</dc:title>
	<dc:creator xml:lang="en">Wuisan, Dewi Sri Surya</dc:creator>
	<dc:creator xml:lang="en">Sunardjo, Richard Andre</dc:creator>
	<dc:creator xml:lang="en">Aini, Qurotul</dc:creator>
	<dc:creator xml:lang="en">Yusuf, Natasya Aprila</dc:creator>
	<dc:creator xml:lang="en">Rahardja, Untung</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">Entrepreneurship</dc:subject>
	<dc:subject xml:lang="en">Human Resource Management</dc:subject>
	<dc:subject xml:lang="en">SmartPLS</dc:subject>
	<dc:subject xml:lang="en">Performance Management</dc:subject>
	<dc:description xml:lang="en">The primary focus of this research is to examine the pivotal role of Artificial Intelligence (AI) in driving business transformation, with a specific emphasis on its impact within the realm of human resource management (HR). The study seeks to assess the substantial influence brought about by the incorporation of AI in HR. Online data collection involved 110 respondents with professional backgrounds in HR. In pursuit of enhancing entrepreneurial success, the research adopts the Smart Partial Least Square (Smart PLS) approach to seamlessly integrate artificial intelligence into HR management. The analysis using Smart PLS delves into the examination of AI's effects on the recruitment process, employee development, and performance management. The findings of the research reveal that the utilization of AI in HR significantly expedites processes, enhances decision accuracy, and positively contributes to the attainment of entrepreneurial objectives. The practical implications of these outcomes are thoroughly discussed, and potential avenues for future research are outlined. This not only provides valuable insights for stakeholders but also offers guidance on optimizing the application of AI in the context of human resource management.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2023-11-30</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/355</dc:identifier>
	<dc:identifier>10.34306/att.v5i3.355</dc:identifier>
	<dc:source xml:lang="en">Aptisi Transactions on Technopreneurship (ATT); Vol. 5 No. 3 (2023): November; 334-345</dc:source>
	<dc:source xml:lang="id">Aptisi Transactions On Technopreneurship (ATT); Vol 5 No 3 (2023): November; 334-345</dc:source>
	<dc:source>2656-8888</dc:source>
	<dc:source>2655-8807</dc:source>
	<dc:source>10.34306/att.v5i3</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://att.aptisi.or.id/index.php/att/article/view/355/241</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Dewi Sri Surya Wuisan, Richard Andre Sunardjo, Qurotul Aini, Natasya Aprila Yusuf, Untung Rahardja</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>