Marketing or Manipulation? Examining the Psychological and Economic Impacts of Decision-Making targeting Strategies on Consumer behavior.

This master’s thesis investigates how modern decision-targeting techniques in digital advertising - driven by neuromarketing, big data and AI personalization - move beyond persuasion into subconscious behavioral engineering. Through a comparative thematic literature review of behavioral economics, neuroscientific studies and regulatory analysis, the study identifies core mechanisms (cognitive-bias stacking, decision-contrast removal, and emotional reinforcement loops), documents their psychological and economic consequences (decision fatigue, cognitive entrapment, market concentration), and proposes a regulatory framework: the Cognitive Market Influence Model (CMIM) to restore decision contrast, increase algorithmic transparency, and protect consumer autonomy. The thesis was submitted to IU International University of Applied Sciences (12 March 2025). Connect with me on LinkedIn: www.linkedin.com/in/ali-qusayalhajjaj

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-21
DOI
https://doi.org/10.5281/zenodo.17167825
Primary Topic
AI in Service Interactions
Type
article
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article

Marketing or Manipulation? Examining the Psychological and Economic Impacts of Decision-Making targeting Strategies on Consumer behavior.

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

Marketing or Manipulation? Examining the Psychological and Economic Impacts of Decision-Making targeting Strategies on Consumer behavior.

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Abstract

This master’s thesis investigates how modern decision-targeting techniques in digital advertising - driven by neuromarketing, big data and AI personalization - move beyond persuasion into subconscious behavioral engineering. Through a comparative thematic literature review of behavioral economics, neuroscientific studies and regulatory analysis, the study identifies core mechanisms (cognitive-bias stacking, decision-contrast removal, and emotional reinforcement loops), documents their psychological and economic consequences (decision fatigue, cognitive entrapment, market concentration), and proposes a regulatory framework: the Cognitive Market Influence Model (CMIM) to restore decision contrast, increase algorithmic transparency, and protect consumer autonomy. The thesis was submitted to IU International University of Applied Sciences (12 March 2025). Connect with me on LinkedIn: www.linkedin.com/in/ali-qusayalhajjaj

Zenodo (CERN European Organization for Nuclear Research)
IU International University of Applied Sciences (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 33%
AI in Service Interactions
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