RESILIENT STRATEGY IN AN ALGORITHMIC ECONOMY: REFRAMING BUSINESS AGILITY THROUGH GENERATIVE AI AND PREDICTIVE CONSUMER SENTIMENT

Post-pandemic algorithmic economy, organizations face complex challenges in responding to volatile market dynamics and rapidly evolving consumer behavior. This paper explores how generative AI and predictive consumer sentiment analysis can support resilient strategies that foster business agility. A new framework is proposed, integrating AI-native decision systems with real-time sentiment modeling to enable adaptive response mechanisms.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15688595
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
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article

RESILIENT STRATEGY IN AN ALGORITHMIC ECONOMY: REFRAMING BUSINESS AGILITY THROUGH GENERATIVE AI AND PREDICTIVE CONSUMER SENTIMENT

Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
article

RESILIENT STRATEGY IN AN ALGORITHMIC ECONOMY: REFRAMING BUSINESS AGILITY THROUGH GENERATIVE AI AND PREDICTIVE CONSUMER SENTIMENT

article en

Abstract

Post-pandemic algorithmic economy, organizations face complex challenges in responding to volatile market dynamics and rapidly evolving consumer behavior. This paper explores how generative AI and predictive consumer sentiment analysis can support resilient strategies that foster business agility. A new framework is proposed, integrating AI-native decision systems with real-time sentiment modeling to enable adaptive response mechanisms.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 47%
Stock Market Forecasting Methods
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RESILIENT STRATEGY IN AN ALGORITHMIC ECONOMY: REFRAMING BUSINESS AGILITY THROUGH GENERATIVE AI AND PREDICTIVE CONSUMER SENTIMENT · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS