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All Journal Jurnal Minfo Polgan (JMP) Mount Hope Global Economic Journal Mount Hope Management International Journal
Rida Justin Jacobalis
Sekolah Tinggi Ilmu Ekonomi Bhakti Pembangunan
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Mathematics Social Sciences

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OPTIMALISASI KINERJA ORGANISASI MELALUI MANAJEMEN KERJA HYBRID: MENGATASI DIGITAL BURNOUT DAN RETENSI TALENTA BAKAT Rida Justin Jacobalis
Mount Hope Economic Global Journal Vol. 3 No. 3 (2025)
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/mega.v3i3.981

Abstract

The post-pandemic workplace transformation has accelerated the adoption of hybrid work systems that integrate remote and on-site arrangements. While hybrid work offers flexibility and operational efficiency, it also introduces structural challenges, including digital burnout, fragmented organizational culture, and talent retention risks. This study develops a conceptual model integrating hybrid work management, digital burnout, trust-based culture, digital leadership, and organizational performance using a systematic literature review (SLR) grounded in the Job Demands–Resources (JD-R) framework. The findings suggest that hybrid work produces dual effects: it enhances job resources such as flexibility and autonomy, while simultaneously intensifying digital job demands. When job demands exceed available resources, digital burnout emerges as a mediating mechanism that negatively affects performance and talent retention. Trust-based culture and digital leadership function as moderating buffers that mitigate these adverse outcomes. Theoretically, this study extends the JD-R framework into the hybrid work context by positioning digital burnout as a systemic consequence rather than an individual weakness. Practically, the findings provide strategic guidance for designing sustainable and governance-oriented hybrid work systems.
MODEL KONSEPTUAL HUMAN-CENTERED LEADERSHIP BERBASIS EMPATI UNTUK MENINGKATKAN LOYALITAS DAN PRODUKTIVITAS JANGKA PANJANG Rida Justin Jacobalis
Mount Hope Management International Journal Vol. 3 No. 2 (2025)
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/momil.v3i2.980

Abstract

The increasing complexity of multinational organizations demands leadership approaches that move beyond structural control and short-term performance orientation. This article develops a conceptual model of human-centered leadership by positioning empathic leadership as a strategic relational foundation for sustainable organizational productivity. Integrating emotional intelligence theory, self-determination theory, and organizational commitment theory, the study proposes a sequential mediation framework in which empathic leadership enhances employee well-being, well-being strengthens affective loyalty, and loyalty ultimately drives long-term productivity. Unlike prior studies that examine direct or partial relationships between leadership and performance, this article introduces a multi-layered mechanism explaining how leadership influence unfolds through psychological and relational processes. The model reconceptualizes empathy not merely as an interpersonal competency, but as organizational relational capital that bridges individual psychological conditions and sustainable performance outcomes. Theoretically, this study contributes by integrating emotional, motivational, and commitment-based perspectives into a unified human-centered leadership framework. Practically, it offers strategic guidance for multinational organizations seeking to enhance long-term competitiveness through employee-centered leadership. Future empirical research is encouraged to test the proposed sequential mediation model across industries and cultural contexts.
AI-Enabled Human Capital For Organizational Resilience and Competitiveness Rida Justin Jacobalis; Iman Sjamsu Rahardjo; Sri Rahayu; Albiansyah Albiansyah; Desika Andriani
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16561

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed how organizations build and sustain competitive advantage. However, investments in AI alone are insufficient to achieve sustainable competitiveness without the support of strong organizational capabilities. This study aims to develop a conceptual framework that explains the strategic role of AI-enabled Human Capital in enhancing Organizational Resilience and Sustainable Competitiveness. Using a Conceptual Literature Review (CLR) approach, the study synthesizes complementary theoretical perspectives, including Human Capital Theory, the Resource-Based View, Dynamic Capabilities Theory, and Risk Governance Theory, supported by contemporary literature on artificial intelligence, strategic management, financial policy, risk governance, and organizational resilience. The study proposes an Integrated Strategic Capability Framework that explains how organizations transform AI investments into sustainable competitive advantage through the interaction of four strategic capabilities: Financial Policy, Risk Governance, AI-enabled Human Capital, and Organizational Resilience. Within this framework, AI-enabled Human Capital is positioned as the central strategic capability that integrates human expertise, AI technologies, organizational learning, and strategic decision-making. The proposed framework contributes to the theoretical development of AI-driven strategic management while offering practical guidance for organizations in designing AI-based transformation strategies. Nevertheless, further empirical studies are required to validate the proposed framework across diverse organizational contexts.
From Financial Modelling To Financial Decision Intelligence: The Emerging Role Of Artificial Intelligence Iman Sjamsu Rahardjo; Rida Justin Jacobalis; Ida Adhani; Bintoro Ariyanto; Oktovina Deci Rahakbauw
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16562

Abstract

Through the introduction of Financial Decision Intelligence, the study provides an integrative theoretical perspective explaining how Artificial Intelligence transforms financial decision-making into a continuous process of strategic intelligence creation. In doing so, it offers a conceptual foundation for future empirical research and advances the understanding of how organizations can leverage AI to strengthen strategic decision capability in the digital economy. Using an Integrative Literature Review (ILR), the study synthesizes multidisciplinary literature spanning strategic management, finance, business analytics, information systems, and artificial intelligence to develop an integrated theoretical framework. This study contributes to the strategic management literature by reconceptualizing financial modelling as a dynamic organizational capability, integrating previously fragmented theoretical perspectives, and establishing a conceptual foundation for future empirical research on AI-enabled financial decision capability. Beyond its theoretical contribution, the proposed framework also offers practical guidance for organizations seeking to strengthen evidence-based financial governance, strategic adaptability, and sustainable competitive advantage in increasingly data-intensive business environments.
Co-Authors Albiansyah Albiansyah Bintoro Ariyanto Desika Andriani Ida Adhani Iman Sjamsu Rahardjo Oktovina Deci Rahakbauw Sri Rahayu