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Journal Of Economic Sciences (Ekuisci)
Published by Ann Publisher
ISSN : 3046837X     EISSN : 30470579     DOI : https://10.62885/ekuisci.v1i1
Core Subject : Economy,
Economics, Econometrics & Finance
is a peer-reviewed journal that publishes scientific articles in the field of economics. Articles published in the Ekuisci Journal include original scientific research results (top priority), new scientific review articles (not priority), and the results of studies in the field of economics.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 92 Documents
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An AI-Based Personalized Learning Framework for Corporate Employee Development: An Integrative Literature Synthesis Dzaky Mubarok; Khoe Yao Tung; Budi Wibawanta
Jurnal Ekuisci Vol 3 No 6 (2026): Vol 3 No 6 July 2026
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/ekuisci.v3i6.1232

Abstract

Background: Accelerating digital transformation, encompassing widespread business process automation and the adoption of artificial intelligence, has widened the competency gap between current workforce capabilities and future organizational demands. This condition positions the corporate Learning and Development (L&D) function as a strategic pillar for sustaining competitive advantage and simultaneously heightens the urgency of integrating AI into corporate learning systems. Purpose: Aims. This study synthesized, through an integrative approach, empirical and conceptual literature on AI-based personalized learning frameworks for corporate employee development to produce a coherent conceptual framework. Method: A Systematic Literature Review (SLR) design was employed, utilizing qualitative meta-synthesis guided by the PRISMA 2020 protocol. Research questions were formulated using the SPIDER framework. Systematic searches were conducted across five major academic databases, Scopus, Web of Science, ERIC, IEEE Xplore, and Google Scholar, covering publications from 2020 to 2025. Results: From 1,847 initially identified articles, 1,203 unique records remained after deduplication. Title and abstract screening yielded 312 articles, and full-text screening produced a final synthesis corpus of 47 articles. Findings confirm that AI-driven personalized learning systems have a significant capacity to address workforce competency gaps arising from digital transformation. Conclusion: This study produced a comprehensive AI-based personalized learning framework by integrating perspectives from educational technology, human resource management, and artificial intelligence. Implementation. Organizations are advised to adopt this framework as a strategic response to the imperatives of reskilling and upskilling in the digital transformation era.
AI Search Visibility And Brand Trust Formation: A Conceptual Framework For Startups In The Indonesian Digital Market Ahmed H A Albawwab
Jurnal Ekuisci Vol 3 No 6 (2026): Vol 3 No 6 July 2026
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/ekuisci.v3i6.1233

Abstract

Background. The rapid proliferation of artificial intelligence (AI)-mediated search environments has fundamentally restructured how consumers discover and evaluate brands in digital markets. Despite growing scholarly attention to AI as an operational marketing tool, a critical gap persists regarding its role as a brand trust-building signal — particularly for startups and unknown brands that lack established reputational capital. Aims. This paper addresses two interrelated gaps: the absence of a conceptual framework examining AI search visibility as a trust signal, and the neglect of startups as a distinct context in AI marketing research. Methods. Using a conceptual research design grounded in systematic literature synthesis, this paper integrates Trust Transfer Theory, Signaling Theory, and the Elaboration Likelihood Model to develop a conceptual framework that explains how AI search visibility shapes brand trust formation. Four theoretical propositions are developed: AI search visibility positively influences brand trust (P1); brand trust enhances purchase intention (P2) and recommendation intention (P3); and collectivist cultural orientation moderates the relationship between AI search visibility and trust (P4). Conclusion. The Indonesian digital market provides the contextual grounding, given its collectivist orientation, dynamic startup ecosystem, and rapidly growing AI adoption. Implementation. Findings offer theoretical extensions and practical implications for startup brand strategy in algorithm-mediated marketplaces.

Page 10 of 10 | Total Record : 92

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