Posted: Jan 01, 2019
This research investigates the complex interplay between professional ethics, auditor independence, and stakeholder confidence through a novel computational ethics framework. Traditional studies in accounting ethics have predominantly relied on survey-based methodologies and theoretical frameworks, often failing to capture the dynamic, multi-dimensional nature of ethical decision-making in auditing contexts. Our study introduces an innovative computational ethics simulation platform that models auditor behavior across 1,200 distinct ethical scenarios, incorporating real-time stakeholder perception tracking and economic pressure variables. The methodology combines elements from behavioral economics, computational ethics, and network theory to create a dynamic system that captures how ethical reinforcement mechanisms influence both auditor decision-making and stakeholder trust formation. Results demonstrate that targeted ethical interventions at critical decision nodes can increase auditor independence by 47
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