Behavioral Influence Algorithm for High-Performance Digital Communications: A Neurobiological Methodology and Perception-Management Strategy Under Digital Transformation

Pavlichenko Ketevan

Citation: Pavlichenko Ketevan, "Behavioral Influence Algorithm for High-Performance Digital Communications: A Neurobiological Methodology and Perception-Management Strategy Under Digital Transformation", Universal Library of Business and Economics, Volume 02, Issue 04.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The study is designed as a multilevel analysis of mechanisms through which trust is formed and behavior is regulated in digital environments, grounded in contemporary findings from neurobiology, behavioral psychology, and algorithmic modeling. The analysis demonstrates the fundamental importance of shifting from classical PR approaches to strategies based on neurobiological resonance, a shift driven by attention scarcity and a persistent crisis of trust in technology platforms. The study’s objective is formulated as the conceptualization and detailed step-by-step description of a behavioral influence algorithm aimed at reducing audience cognitive resistance and stimulating oxytocin-mediated responses as a biological predictor of loyalty. The methodological contour is constructed through a systematic review of 78 empirical studies devoted to algorithmic mediation, alongside analysis of representative Deloitte and McKinsey survey data for 2024–2025. As a result, a five-component framework model of algorithmic persuasion (APF) is proposed, and the suitability of the EPOCH index for diagnosing human-centered communications is empirically supported. The findings show that the combination of transparency and ethical nudging creates conditions under which brands can attain “trusted pioneer” status and is accompanied by growth in audience engagement. The material has substantial theoretical and applied value for strategic analytics in the PR industry, the design of digital ecosystems, and neuromarketing expertise oriented toward ethically calibrated reputation management in the era of agentic AI.


Keywords: Behavioral Influence, Digital Communications, Neurobiology of Trust, Psychological Resonance, Persuasion Algorithm, Perception-Management Strategy, EPOCH Index, Oxytocin Model, Digital Ethics, PR Leadership.

Download doi https://doi.org/10.70315/uloap.ulbec.2025.0204011