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| ai.viXra.org > Social Science > 2504 |
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[2] ai.viXra.org:2504.0054 [pdf] submitted on 2025-04-16 08:57:53
Authors: Hyunho Shin
Comments: 46 Pages.
Organizations have traditionally been studied through structural and rational lenses, from classical bureaucracy to human relations, systems, and contingency theories. However, these perspectives often treat organizations as static structures or assume rational actors, overlooking the nuanced drift of beliefs and behaviors among members over time. In this paper, we propose Influence Drift Theory (IDT) as a novel framework grounded in the idea that organizations are sustained by shared fictions and interpersonal influences. Drawing on philosophical insights (e.g. Harari’s view of corporations and nations as imagined realities), IDT models an organization as a network of individuals who continuously influence one another’s values, attitudes, and performance. We contrast IDT with classical organizational theories and highlight its dynamic, gradual interpersonal influence mechanics. A mathematical structure is outlined where each member’s attributes (e.g. ethical stance, competence, trustworthiness) evolve through weighted feedback from others. Key parameters — including feedback cycles, hierarchy depth, team size, and directional influence weights — are defined to show how different organizational forms can be simulated. We explore diverse influence metrics (ethics, competence, trust) and analyze their evolution via simulation of various scenarios. In illustrative case studies, we show how authoritarian cultures may drift into decay, democratic structures foster resilience, and ethical leadership can propagate integrity across a network. We compare IDT’s continuous influence model to binary decision models like classical game theory, underscoring how gradual change and path-dependence in IDT capture complexities that static equilibrium models miss. Finally, we discuss real-world applications of IDT for understanding corporate culture shifts, governance and policy-making, and community development. The paper concludes that Influence Drift Theory provides a comprehensive, flexible paradigm for analyzing and guiding organizational change through the lens of interpersonal influence.
Category: Social Science
[1] ai.viXra.org:2504.0021 [pdf] submitted on 2025-04-07 15:34:02
Authors: Dainis Zeps
Comments: 25 Pages. Assisted by ChatGPT (Note by ai.viXra.org Admin: The article appears to be ouside the scope of ai.viXra.org and is subject to withdrawal by ai.viXra.org Admin))
This paper explores the emerging role of artificial intelligence (AI) in the global struggle against authoritarianism, disinformation, and war — with a focus on Russia’s ongoing aggression against Ukraine. Framing AI not merely as a passive tool, but as a potential active force in resisting propaganda, preserving truth, and empowering democratic resilience, the paper examines how information itself has become a battlefield. In this context, AI can serve as a real-time witness, analyst, and amplifier in the fight against evil. Through a series of structured arguments, the paper defends the position that:(1) Putin’s regime must be forcibly dismantled,(2) the West must cease all covert support or strategic indulgence of Russia, (3) only Ukraine’s full victory ensures a just and stable global order, and (4) the informational revolution — powered by AI — is key to defeating lies, terror, and empire. Ultimately, the study argues that we are entering a new era where technology, morality, and resistance converge — and that AI, if aligned with democratic values, may become not just a tool of civilization, but a defender of it.
Category: Social Science