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All Journal Jurnal Bisnis Inovatif dan Digital Jurnal Ilmiah Manajemen Dan Kewirausahaan
Dedi Sulistiyo Soegoto
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Resiliensi Kognitif dan Digital Wellbeing: Strategi Mitigasi Burnout Produktivitas di Era Kerja Hyper-Connected Sukiman Makalalag; Cut Dinda Sara; Dedi Sulistiyo Soegoto
Jurnal Bisnis Inovatif dan Digital Vol. 3 No. 1 (2026): Januari : Jurnal Bisnis Inovatif dan Digital
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jubid.v3i1.1286

Abstract

The hyper-connected work era has fundamentally blurred the temporal and psychological boundaries between professional and personal spheres, triggering a productivity paradox phenomenon where increased digital connectivity is inversely proportional to long-term cognitive efficiency. Consequently, this research aims to explore deeply and comprehensively the critical roles of cognitive resilience and digital wellbeing strategies as vital preventive mechanisms against the rising risk of burnout resulting from cumulative cognitive fatigue. Employing a qualitative approach with a rigorous literature review design, this study synthesizes extensive secondary literature retrieved from accredited academic databases and global policy reports within the last five years to analyze current trends and theoretical frameworks. The in-depth analysis reveals that cognitive resilience, significantly bolstered by metacognitive digital literacy, functions as an adaptive shield against the mounting pressures of information overload and attention fragmentation. Furthermore, the findings emphatically confirm that sustainable productivity is not achieved through borderless connectivity, but rather necessitates disciplined cognitive energy management and the strict implementation of "right to disconnect" protocols. Concluding the study, it is strongly recommended that organizations integrate comprehensive digital wellbeing policies into their work culture architecture to safeguard long-term employee performance and ensure organizational sustainability amidst the challenges of the attention economy.
Digital Catalysts: SEM Analysis of Technological Infrastructure, Entrepreneurial Ecosystems, and Economic Productivity using World Bank Data Muhammad Irfan; Zuli Priyanto; Dedi Sulistiyo Soegoto
Jurnal Ilmiah Manajemen dan Kewirausahaan Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Manajemen dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimak.v5i2.6712

Abstract

The transition from investment-driven to innovation-driven economies places technological infrastructure at the forefront of macroeconomic development. This study utilizes Structural Equation Modeling (SEM) to analyze the complex causal relationships between technological infrastructure, the entrepreneurial ecosystem, and economic productivity across 179 economies using comprehensive World Bank data. Grounded in Endogenous Growth Theory, we hypothesize that digital infrastructure serves as a critical catalyst for entrepreneurship, which in turn drives higher economic value added and industrial output. To ensure methodological robustness, the study employs a rigorous data pre-processing approach, specifically transforming skewed variables—such as secure internet servers, patent counts, and trademark applications—into their natural logarithms (Ln) to satisfy distributional normality assumptions for linear modeling. Results derived from Jamovi analysis indicate that technological readiness significantly influences entrepreneurial capacity, which acts as a key mediator subsequently impacting GDP per person employed and industrial value added. These empirical findings suggest that policymakers must prioritize strategic digital backbone investments and secure server infrastructure to unlock the full potential of national entrepreneurial ecosystems. By bridging the digital divide, nations can foster an environment conducive to sustainable innovation and long-term economic growth.
Transformasi Digital dalam Pendidikan dan Produktivitas Kerja Pendidik: Peran Artificial Intelligence sebagai Enabler Efisiensi Pedagogi Debora Siahaan; Andressa Noviar Azhari; Dedi Sulistiyo Soegoto
Jurnal Ilmiah Manajemen dan Kewirausahaan Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Manajemen dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimak.v5i2.6730

Abstract

Digital transformation in education has driven fundamental changes in pedagogical practices and educators' work patterns. The advancement of digital technology, particularly Artificial Intelligence (AI), enables automation, personalization, and data-driven decision-making within the learning process. This paper aims to comprehensively examine the relationship between the digital transformation of education, the utilization of Artificial Intelligence in pedagogy, and the work productivity of educators through a literature review method. The literature sources are drawn from reputable Indonesian journals published after 2019. The findings indicate that digital transformation serves as the foundation that enables AI adoption, while AI acts as an enabler of pedagogical efficiency by reducing the administrative burden on educators. Such efficiency has a positive impact on increasing educators' productivity. AI integration facilitates personalized teaching materials responsive to student needs, allowing educators to shift focus from routine tasks to more meaningful pedagogical interactions. This synergy not only optimizes workflows but also strengthens the strategic role of teachers in creating an inclusive, adaptive, and sustainable digital learning ecosystem for the future.This paper is expected to serve as a conceptual reference for the development of further research and education policies based on digital transformation and AI.
Co-Authors Andressa Noviar Azhari Cut Dinda Sara Debora Siahaan muhammad irfan Sukiman Makalalag Zuli Priyanto