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Two Decades in Five Years: Mapping Digital HR, Workflow Automation, and Innovation Ecosystem Research (2020–2025) Arciana Damayanti; Asep Miftahuddin; Rofi Rofaida; Yoga Perdana; Rizqiana Arifatul Husna; Juliana Juliana
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 2 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4894

Abstract

Digital transformation has reshaped human resource management (HRM), giving rise to digital HR practices, workflow automation and innovation-ecosystem approaches. However, the literature on Digital HRM, electronic HRM (e-HRM), and innovation ecosystems remains scattered across disciplines and themes, leaving the field's intellectual structure, thematic evolution, and future directions only partially understood. This study reviews and maps research on digital human resource management, workflow automation, and innovation ecosystems published between 2020 and 2025 using a systematic literature review (SLR) combined with bibliometric analysis and following the PRISMA 2020 framework for a transparent and reproducible selection process. An initial search of the Scopus database returned 2,163 documents for review. After applying predefined inclusion and exclusion criteria, 244 journal articles were retained and analysed in Bibliometrix and Biblioshiny to examine publication trends, influential authors, journals, countries, and institutions, along with keyword co-occurrence and thematic structures. Research activity rose sharply over the period, at an annual growth rate of 23.84%, with the conceptual core of the field centring on e-HRM, digital HRM, digital transformation, workflow automation and innovation ecosystems. The thematic map identified technology, Industry 4.0, Society 5.0, and helix-based innovation models as the dominant driving themes. The Triple Helix and Quintuple Helix frameworks are well established, whereas Pentahelix-related work remains underexplored and is still emerging. This study offers a comprehensive picture of the intellectual landscape of digital HR transformation and innovation-ecosystem research and points to a clear opportunity for future work: bringing together workflow automation, digital HR practices, and Pentahelix-based collaboration to support sustainable workforce transformation and organizational innovation.
Mapping the Digital Ecosystem of Muslim-Friendly Tourism: Stakeholder Networks, Sentiment, and Themes on X Asep Miftahuddin; Juliana Juliana; Lazuardi Imani Hakam; Rizqiana Arifatul Husna; Muhammad Apriandito Arya Saputra; Budhi Pamungkas Gautama
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 2 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4895

Abstract

The rise of digital communication has reshaped the way tourism stakeholders interact, share information, and influence destination development. Muslim-Friendly Tourism has become one of the fastest-growing segments of the global industry; however, it has rarely been studied through a digital ecosystem lens. This study examines the halal tourism ecosystem by analyzing halal tourism conversations on X (formerly Twitter), mapping stakeholder interaction patterns, public sentiment, emotional responses, and dominant discussion themes. A dataset of 2,000 posts was collected via the SocialX platform between January 30, 2025, and March 30, 2026, and analyzed through an integrated framework combining Social Network Analysis, trend analysis, sentiment and emotion analysis, text clustering, topic modeling, and text network analysis. The network proved highly fragmented with 1,725 nodes, 1,417 directed edges, and 725 communities, reflecting the wide range of stakeholders involved; however, a few influential actors emerged as information brokers linking otherwise separate communities. Sentiment was predominantly neutral (46.75%), with positive sentiment (35.70%) clearly outweighing negative sentiment (17.55%), while happiness dominated the emotional landscape at 88.45%. The thematic analyses returned 14 discussion clusters and 117 topics, and the semantic network revealed three interconnected domains underpinning the ecosystem: the Destination and Policy Ecosystem, the Muslim Traveler Experience Ecosystem, and the Global Halal Travel Ecosystem. These findings extend Digital Ecosystem Theory to Muslim-Friendly Tourism and underscore the role of digital platforms in enabling stakeholder interaction, knowledge exchange, and value co-creation, offering practical guidance for policymakers, destination management organizations, and tourism businesses seeking to strengthen digital engagement and competitiveness
Instagram Marketing for Brand Awareness in Certification and Training MSMEs: Insights from Social Media Analytics Dian Addinna; Gilang Garnadi Suryadi; Yosep Hernawan; Edi Suryadi; Asep Miftahuddin; Rizqiana Arifatul Husna
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 2 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4896

Abstract

Early-stage micro, small, and medium enterprises (MSMEs) in the certification and training sector often struggle to build brand awareness on Instagram, where success depends heavily on trust, competence, and credibility. Most prior research has measured the effect of social media marketing through surveys rather than producing a directly applicable, data-driven model, and the certification services sector remains underexplored. This study addresses that gap by analysing Instagram discourse on professional certification and formulating an evidence-based Instagram marketing model. Using a social media analytics approach, 2,000 posts were collected through the SocialX application with the hashtag #sertifikasiprofesi and examined through five procedures: word cloud analysis, text network analysis, emotion analysis using an Indonesian RoBERTa model, sentiment network analysis, and BERTopic modelling. The findings show that the discourse is anchored in competency- and institution-oriented language (notably recognised schemes such as BNSP and LSP), framed around tangible career benefits, expressed through predominantly neutral-to-positive sentiment, and circulated within a sparse, broadcast-oriented network (288 nodes, 240 edges, density 0.6%) dominated by a few central institutional accounts. Based on these findings, this study proposes a marketing model that emphasises recognised credentials, concrete career outcomes, distinctive storytelling, cross-platform integration, and collaboration with influential accounts. The model is analytically derived; its implementation and evaluation are recommended for future research.