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All Journal Maneggio
Nada Cantika Putri Kadua
Unviersitas Islam Negeri Sunan Kalijaga
Decision Sciences, Operations Research & Management

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Managing Organizational Complexity: An Analysis of Decision Dynamics in Unstable Work Systems Nada Cantika Putri Kadua
Maneggio Vol. 3 No. 2 (2026): APRIL- MJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/80a1qw75

Abstract

This study examines the dynamics of decision-making in complex and unstable organizational systems, where traditional rational-linear approaches are increasingly inadequate in addressing uncertainty, rapid change, and multidimensional interactions. The research aims to develop an integrative decision-making model by incorporating perspectives from complexity theory, system dynamics, management psychology, and digital technologies. A qualitative approach was employed using a systematic literature review and conceptual synthesis of recent scholarly works (2021–2025). Data were collected through document analysis and analyzed using thematic content analysis and systems thinking to identify key dimensions influencing decision-making processes. The findings reveal that decision-making in complex systems is nonlinear, adaptive, and emergent, shaped by the interaction of structural, technological, and human factors. Key dimensions include complex adaptive systems, chaos and nonlinear dynamics, feedback mechanisms, psychological factors, conflict management, and the integration of AI and data-driven systems. The discussion highlights the importance of a hybrid approach that balances technological capabilities with human-centered leadership and organizational learning to enhance decision quality and resilience. In conclusion, this study proposes an integrative framework that provides both theoretical and practical contributions, enabling organizations to navigate uncertainty and improve decision-making effectiveness in unstable environments.
Gig Economy Management: Managing Flexible Workforce in Digital Ecosystems Nada Cantika Putri Kadua
Maneggio Vol. 3 No. 2 (2026): APRIL- MJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/xzed1j57

Abstract

The rapid expansion of the gig economy has transformed labor dynamics by integrating flexible workers into digital platforms, yet this flexibility is often accompanied by algorithmic control, job insecurity, and limited social protection. This study aims to analyze how gig economy management and flexible workforce strategies can function as core elements within a sustainable digital ecosystem. The research adopts a qualitative approach using a systematic literature review and document analysis of recent peer-reviewed studies and policy reports. Data were analyzed through thematic and qualitative content analysis to identify key patterns related to algorithmic management, workforce flexibility, HRM strategies, and regulatory frameworks. The findings reveal that platform-based labor is characterized by strong algorithmic control over time, space, and performance, which limits worker autonomy while enhancing operational efficiency. Furthermore, the study highlights the need for adaptive and human-centered HRM practices, blended workforce models, and inclusive policy reforms to address labor vulnerabilities. The discussion emphasizes that sustainability in the gig economy depends on balancing technological innovation with worker protection and equity. In conclusion, the integration of ethical algorithmic systems, transparent HRM, and supportive regulations is essential to create a more inclusive and sustainable digital labor ecosystem
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