Published May 12, 2026
| Version v1
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Algorithmic communication in the digital age and organizational synergy: The transformation of decision-making, conscience, and collective behavior
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This conceptual study examines the complex relationship between algorithmic communication, organizational synergy, and collective behavior in the digital age. The rapid proliferation of digital platforms and algorithm-driven communication systems is fundamentally transforming traditional decision-making processes and behavioral dynamics within organizations. The study highlights how algorithmic mediation in communication can facilitate coordination while simultaneously obscuring individual responsibility and conscience, producing paradoxical effects on organizational synergy. Drawing on organizational behavior and communication theories, the research conceptually analyzes how digital tools influence collective decision-making, ethical awareness, and alignment of employee behavior. The study argues that while algorithmic communication can enhance efficiency and coordination, it may also reduce employees' autonomy and moral accountability, negatively affecting the quality of collaboration and collective behavior. Organizational synergy is examined not only as the outcome of coordinated interactions but also as a behavioral and psychological phenomenon shaped by communication patterns and collective dynamics. The proposed conceptual framework integrates insights from digital communication, behavioral ethics, and synergy theory to illustrate the dual role of algorithmic systems as enablers and constraints of organizational behavior. This study provides theoretical and practical contributions for researchers and practitioners seeking a holistic understanding of the interplay between digital communication, behavior, and organizational synergy in contemporary workplaces.
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- Journal article: https://www.oxbridgejournal.co.uk/makale/algorithmic-communication-in-the-digital-age-and-organizational-synergy-the-transformation-of-decision-making-conscience-and-collective-behavior/ (URL)
- Journal article: 10.66695/ijir.v1i2.011 (DOI)