Ethical Personalization and Customer Willingness to Share Data: Examining Transparency, Perceived Control, Trust, and Privacy Risk

Adrian K. Mercer

Ethical Personalization and Customer Willingness to Share Data: Examining Transparency, Perceived Control, Trust, and Privacy Risk

Author(s)	Dr. Adrian K. Mercer
Country	United States
Abstract	Digital personalization has become integral to contemporary retail and service environments, yet its effectiveness increasingly depends on how customers interpret the collection and use of their personal information. Personalization can improve relevance, reduce search effort, and facilitate more responsive customer experiences, but the same practices may generate privacy concerns when data collection appears excessive, opaque, intrusive, or difficult to control. This study develops and evaluates a simulation-based framework for examining whether ethically designed personalization can strengthen customer willingness to share data through transparency, perceived control, trust, and reduced privacy risk. A synthetic dataset representing 360 hypothetical digital consumers was constructed across low-, moderate-, and high-ethical-personalization conditions. The simulated design operationalized ethical personalization through clarity of data-use explanations, meaningful privacy controls, proportional data collection, perceived fairness, and absence of coercive disclosure practices. Descriptive comparisons and multiple regression analysis were used to examine differences in willingness to share information and the relative influence of major psychological mechanisms. Simulated results indicate that mean willingness to share data increased from 3.18 under low ethical personalization to 4.52 under moderate conditions and 5.76 under high ethical personalization. Trust emerged as the strongest positive predictor, followed by perceived control and transparency, whereas privacy risk showed a substantial negative relationship with disclosure willingness. The analysis suggests that personalization becomes more acceptable when customers perceive data practices as understandable, controllable, proportionate, and trustworthy rather than merely technologically sophisticated. The study contributes an integrated ethical-personalization framework that connects responsible data practices with customer cooperation and provides a reproducible basis for future empirical validation using actual consumer samples.
Keywords	ethical personalization; data sharing; consumer privacy; perceived control; transparency; customer trust; privacy risk; digital marketing
Field	Engineering
Published In	Volume 5, Issue 6, November-December 2024
Published On	2024-11-13

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American Journal of Advanced Multidisciplinary Innovation and Research

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Ethical Personalization and Customer Willingness to Share Data: Examining Transparency, Perceived Control, Trust, and Privacy Risk

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