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Bibliometric Analysis of Firm Adaptation Strategies in a Hypercompetitive Environment Loso Judijanto; Muhamad Ammar Muhtadi
West Science Business and Management Vol. 2 No. 02 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i02.988

Abstract

This study utilizes bibliometric analysis to map the scholarly landscape of research in hypercompetitive environments and strategic management. Through VOSviewer visualizations, we identified thematic clusters, examined trends over time, analyzed under-researched opportunities, and explored patterns of author collaboration. Our findings reveal a significant shift from foundational theoretical research towards more practical, industry-specific strategies that address dynamic competitive challenges. We identified key thematic areas such as industry dynamics, leadership in hypercompetition, globalization impacts, and sector-specific adaptation strategies. Furthermore, less-explored areas such as opportunity recognition and competitive dynamics offer fruitful avenues for future research. The author collaboration network analysis highlighted both active clusters and potential areas for increased interdisciplinary collaboration, suggesting a maturing yet still siloed research community. This comprehensive overview not only synthesizes existing research but also highlights strategic gaps and opportunities for future scholarly work in the domain of strategic management within hypercompetitive contexts.
Studi Kelayakan Proyek Pertambangan Mineral di Wilayah Maluku Utara: Perspektif Ekonomi, Lingkungan, dan Sosial Muhamad Ammar Muhtadi
Jurnal Geosains West Science Vol 2 No 02 (2024): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v2i02.1324

Abstract

Studi ini memberikan analisis kualitatif yang komprehensif mengenai kelayakan proyek pertambangan mineral di wilayah Maluku Utara, dengan fokus pada perspektif ekonomi, lingkungan, dan sosial. Melalui wawancara dengan para pakar industri, ilmuwan lingkungan, pejabat pemerintah, dan tokoh masyarakat, studi ini mengkaji manfaat ekonomi, dampak lingkungan, dan implikasi sosial dari kegiatan pertambangan. Temuan-temuan utama menggarisbawahi potensi kontribusi ekonomi dari pertambangan, termasuk penciptaan lapangan kerja dan pembangunan infrastruktur, di samping risiko lingkungan yang signifikan seperti deforestasi dan kontaminasi air. Secara sosial, studi ini mengidentifikasi tantangan terkait pemindahan masyarakat dan dampak budaya, serta menekankan pentingnya pengambilan keputusan yang inklusif dan praktik-praktik yang berkelanjutan. Temuan-temuan tersebut berkontribusi pada pemahaman tentang interaksi yang kompleks antara aspirasi pembangunan dan tanggung jawab lingkungan dan sosial dalam proyek-proyek pertambangan mineral.
Agenda riset masa depan advertising berbasis AI melalui Analisis Bibliometrik dan Analisis Tematik Loso Judijanto; Muhamad Ammar Muhtadi
Bisman (Bisnis dan Manajemen): The Journal of Business and Management Vol. 9 No. 1 (2026): Februari
Publisher : Program Studi Manajemen, Fakultas Ekonomi, Universitas Islam Majapahit, Jawa Timur, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/bisman.v9i1.4644

Abstract

The development of artificial intelligence has driven significant transformations in digital advertising practices, in terms of marketing strategy, data analytics, and creative content production. However, the increase in AI-based advertising research still shows a fragmented pattern, requiring comprehensive mapping to understand the knowledge structure and future research development direction. This study aims to map the scientific landscape and formulate a future research agenda for AI-based advertising through a bibliometric analysis and thematic analysis approach. Research data was obtained from the Scopus database and analyzed using VOSviewer software to identify keyword networks, author collaborations, institutions, and countries. The results show that artificial intelligence, marketing, and advertising are the core concepts that connect various research themes, with a shift in trends towards generative AI, large language models, and content automation. Network visualization also reveals the dominance of several actors and countries in scientific collaboration, although opportunities for interdisciplinary research development remain wide open. Overall, this study provides a conceptual contribution by offering a map of knowledge structures as well as a direction for future research agendas that emphasize technology integration, marketing strategies, and ethical considerations in AI-based advertising.