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All Journal Asia-Pacific Management and Business Application Bisman (Bisnis dan Manajemen): The Journal of Business and Management
Mufti, Hafidz
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Unpacking the Evolution of Learning Organization in Public Institutions: Trends, Themes, and Future Directions Mufti, Hafidz; Desiana, Putri Mega
APMBA (Asia Pacific Management and Business Application) Vol. 14 No. 2 (2025)
Publisher : Department of Management, Faculty of Economics and Business, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study maps five decades of research on learning organizations (LOs) within public institutions, aiming to trace their conceptual evolution, identify dominant themes, and outline directions for future inquiry. Drawing on 34 peer-reviewed studies published between 1971 and 2025, the analysis integrates bibliometric and thematic synthesis to capture trends in publication, theoretical frameworks, and methodological approaches. The findings indicate a shift from static, one-size-fits-all models toward dynamic, context-sensitive frameworks that interweave leadership, organizational culture, technology, and governance. Studies emphasise that transformational leadership and adaptive learning cultures foster innovation and performance improvement, while digital transformation presents both enablers and constraints for learning processes. Despite the growing diversity of research contexts, the field remains concentrated in high-income countries, with limited evidence from developing economies. Literature calls for more empirical, longitudinal, and cross-regional research capable of contextualising learning organization practices within political, cultural, and digital realities of public administration. The paper concludes by providing an evolutionary mapping of the learning organization literature in public administration that connects knowledge management, digital maturity, and leadership adaptability as critical components of future public-sector learning organizations.
Manajemen Algoritmik dalam Masa Depan Dunia Kerja Sebuah Tinjauan Literatur Sistematis dalam Konteks Pekerja Gig Mufti, Hafidz; Fauzi, Daini Unifianto; Putra, Tio Ramadha
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.v9i1.4589

Abstract

Algorithmic management has become a dominant managerial mechanism in gig work, yet its implications for workers and the future of digital employment remain fragmented in the literature. This study aims to systematically examine and synthesize prior research on algorithmic management in gig work by identifying its core mechanisms, benefits, challenges, unresolved research gaps, and implications for developing fair and inclusive algorithmic systems. This study adopts a Systematic Literature Review (SLR) design guided by the PRISMA framework. Peer-reviewed journal articles published between 2020 and 2025 were identified through structured searches of major academic databases. Following the PRISMA stages of identification, screening, eligibility assessment, and inclusion, a final sample of 34 eligible studies was retained for qualitative synthesis. Data were extracted using a structured coding scheme and analyzed through a combination of deductive Input–Process–Output (IPO) mapping and inductive thematic analysis, leading to the development of an extended Input–Process–Output–Outcomes (IPOO) analytical model. The findings indicate that algorithmic management has rapidly evolved into a central managerial system that reshapes power relations, performance evaluation, worker autonomy, and well-being through data-driven control, monitoring, and decision-making. While algorithmic systems enhance efficiency and structure short-term worker behavior, they also generate long-term social, ethical, and human sustainability challenges. These challenges highlight that the future of digital work increasingly depends on fairness, transparency, and human-centered governance in algorithmic systems. The originality of this study lies in extending the traditional IPO framework into the IPOO model to capture both immediate mechanisms and long-term consequences of algorithmic management in the gig economy.
Co-Authors Desiana, Putri Mega Fauzi, Daini Unifianto Putra, Tio Ramadha