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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) · pp. 334–345

DOI
10.34306/att.v5i3.355
ISSN
2656-8888, 2655-8807
Published
2023-11-30
Publisher
Pandawan
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

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.

Keywords

Collaboration network of the authors

40 authors · 136 co-authorship links · 12 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Raharja
  • Satya Wacana Christian University
  • Universitas Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Danny ManonggaSatya Wacana Christian University14
Ninda LutfianiUniversitas Raharja13
Irwan SembiringSatya Wacana Christian University12
Nuke Puji Lestari SantosoUniversitas Raharja10
Alfiah KhoirunisaUniversitas Raharja8
Po Abas SunaryaAffiliation unknown8
Dwi ApriliasariAffiliation unknown6
Agung RizkyAffiliation unknown5
Sutarto WijonoAffiliation unknown5
Shofiyul MillahAffiliation unknown5
Untung RahardjaUniversitas Raharja3
Muhtarom MuhtaromAffiliation unknown3
Nesti Anggraini SantosoAffiliation unknown3
Ihsan Nuril HikamAffiliation unknown3
Adam FaturahmanAffiliation unknown3
Hindriyanto Dwi PurnomoSatya Wacana Christian University3
Alwiyah AlwiyahAffiliation unknown3
Desy AprianiAffiliation unknown2
Mohamad RakhmansyahAffiliation unknown2
Umi NarimawatiAffiliation unknown2
Joko SiswantoAffiliation unknown2
Eka Purnama HarahapUniversitas Raharja2
Ferdi AntonioAffiliation unknown2
Fitra Putri OgandaUniversitas Raharja2
Tarisya RamadhanAffiliation unknown2
Raihan RaihanAffiliation unknown2
Farida AgustinAffiliation unknown2
Marviola HardiniAffiliation unknown2
Ahmad RamadanAffiliation unknown2
Sudaryono SudaryonoUniversitas Gadjah Mada1
Firman HanafiUniversitas Raharja1
Mukti BudiartoUniversitas Raharja1
Siti Nurindah SariAffiliation unknown1
Rusli Ginting MuntheAffiliation unknown1
Aan KaniviaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://att.aptisi.or.id/index.php/att/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (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>