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Challenges and Technology Trends in Implementing a Human Resource Management System: A Systematic Literature Review

Journal of Information Systems Engineering and Business Intelligence · Vol. 10 No. 3 (2024) · pp. 355–367

DOI
10.20473/jisebi.10.3.355-367
ISSN
2443-2555, 2598-6333
Published
2024-10-28
Publisher
Universitas Airlangga
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

Background: Human Resource Management System (HRMS) is an important aspect of managing organizations. However, the successful integration of the system into respective roles is often associated with diverse technological challenges and trends. Some major obstacles identified in recent research include reluctance to change, lack of training, fragmented Human Resource (HR) data, rigid processes, and continuous changes in organizational needs. Exciting technology trends offer promise for next-generation HRMS solutions, including artificial intelligence (AI), machine learning, predictive analytics, and mobile accessibility. This shows the need for a systematic literature review to comprehensively map the challenges and technology trends shaping the implementation of HRMS. Objective: This research aimed to conduct a comprehensive review of existing literature to identify the main challenges faced during HRMS implementation and the latest technology trends in the space. Methods: A systematic literature review was adopted through the Kitchenham method with a focus on five databases including Scopus, Emerald, IEEE, Science Direct, and ProQuest. Results: The result was in the form of a table mapping of the challenges faced by each stakeholder in HRMS, including resistance to change, lack of management support, and limited technology infrastructure. Meanwhile, the most common technology challenges found were system integration issues, data security, and lack of technical capabilities or skills. The potential opportunities from technology trends to address the issues included training and skills development, enhanced cybersecurity, and effective change management methods. These recommendations were designed to support organizations in further optimizing HRMS utilization and leveraging the latest technologies such as AI and blockchain. Conclusion: The review used a structured method to develop a rich overview through tabular presentations summarizing problem identification and technology trend compilation of HRMS. The systematic exploration aimed to contribute valuable insights into the complexities of HRMS implementation and offer a comprehensive perspective on the emergence of relevant technology trends. The results were expected to contribute to future research directions in this important area at the nexus of Human Resource Management (HRM) and technological innovation. Keywords: Human Resource Management System, Challenges, Technology Trends, Systematic Literature Review

Collaboration network of the authors

31 authors · 86 co-authorship links · 26 across different organisations

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

  • University of Indonesia
  • National Research and Innovation Agency
  • Institut Pariwisata Trisakti
  • Universitas Teknokrat Indonesia
  • Badan Pusat Statistik
  • Bakrie University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sofian LusaInstitut Pariwisata Trisakti4
Imairi EitiveniUniversity of Indonesia4
Nandhita Zefania MaharaniUniversity of Indonesia4
Shabrina Salsabila KurniawanUniversity of Indonesia3
Ryan Randy SuryonoUniversitas Teknokrat Indonesia2
Rini MuliahatiAffiliation unknown1
Herlambang PermadiBadan Pusat Statistik1
Puja Putri AbdullahUniversity of Indonesia1
Rina RahmawatiUniversity of Indonesia1
Assaf AriefUniversity of Indonesia1
Prasetyo AdiUniversity of Indonesia1
Betty PurwandariUniversity of Indonesia1
Ferdian Maulana AkbarUniversity of Indonesia1
Robby HermansyahUniversity of Indonesia1
Nadya SafitriUniversity of Indonesia1
Damayanti ElisabethUniversity of Indonesia1
Yeni ApriyanaAffiliation unknown1
Raden TrimanadiAffiliation unknown1
Rias Kumalasari DeviUniversity of Indonesia1
KautsarinaAffiliation unknown1
Muhamad Adhytia Wana Putra RahmadhanUniversity of Indonesia1
Kautsarina KautsarinaAffiliation unknown1
Elin CahyaningsihBakrie University1
Iqbal Caraka AltinoUniversity of Indonesia1
Prasetyo Adi Wibowo PutroUniversity of Indonesia1
Wahyu Setyawan WibowoAffiliation 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://e-journal.unair.ac.id/JISEBI/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Challenges and Technology Trends in Implementing a Human Resource Management System: A Systematic Literature Review</dc:title>
	<dc:creator>Destriani, Rahma </dc:creator>
	<dc:creator>Adhitama, Raihansyah Yoga </dc:creator>
	<dc:creator>Sensuse, Dana Indra </dc:creator>
	<dc:creator>Hidayat, Deden Sumirat </dc:creator>
	<dc:creator>Purwaningsih, Erisva Hakiki </dc:creator>
	<dc:description xml:lang="en-US">Background: Human Resource Management System (HRMS) is an important aspect of managing organizations. However, the successful integration of the system into respective roles is often associated with diverse technological challenges and trends. Some major obstacles identified in recent research include reluctance to change, lack of training, fragmented Human Resource (HR) data, rigid processes, and continuous changes in organizational needs. Exciting technology trends offer promise for next-generation HRMS solutions, including artificial intelligence (AI), machine learning, predictive analytics, and mobile accessibility. This shows the need for a systematic literature review to comprehensively map the challenges and technology trends shaping the implementation of HRMS.
Objective: This research aimed to conduct a comprehensive review of existing literature to identify the main challenges faced during HRMS implementation and the latest technology trends in the space.
Methods: A systematic literature review was adopted through the Kitchenham method with a focus on five databases including Scopus, Emerald, IEEE, Science Direct, and ProQuest.
Results: The result was in the form of a table mapping of the challenges faced by each stakeholder in HRMS, including resistance to change, lack of management support, and limited technology infrastructure. Meanwhile, the most common technology challenges found were system integration issues, data security, and lack of technical capabilities or skills. The potential opportunities from technology trends to address the issues included training and skills development, enhanced cybersecurity, and effective change management methods. These recommendations were designed to support organizations in further optimizing HRMS utilization and leveraging the latest technologies such as AI and blockchain.
Conclusion: The review used a structured method to develop a rich overview through tabular presentations summarizing problem identification and technology trend compilation of HRMS. The systematic exploration aimed to contribute valuable insights into the complexities of HRMS implementation and offer a comprehensive perspective on the emergence of relevant technology trends. The results were expected to contribute to future research directions in this important area at the nexus of Human Resource Management (HRM) and technological innovation.
 
Keywords: Human Resource Management System, Challenges, Technology Trends, Systematic Literature Review</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2024-10-28</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:format>text/xml</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JISEBI/article/view/54526</dc:identifier>
	<dc:identifier>10.20473/jisebi.10.3.355-367</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Information Systems Engineering and Business Intelligence; Vol. 10 No. 3 (2024): October; 355-367</dc:source>
	<dc:source>2443-2555</dc:source>
	<dc:source>2598-6333</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/54526/30211</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/54526/31213</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 The Authors. Published by Universitas Airlangga.</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>