Decision-making Dilemmas and Solutions to Status Quo Bias from a Multi-field Perspective: Evidence from the Medical, News and Energy Fields

Status quo bias is a cognitive tendency to maintain the status quo, which seriously hinders people from making optimal decisions in fields such as healthcare, media, and energy. This study uses multi-field case analysis to reveal the theoretical mechanism behind status quo bias, and then proposes optimization solutions to promote optimal decision-making. Studies have shown that medical practitioners over-rely on existing treatment plans due to risk aversion and neural reward mechanisms; the algorithmic mechanism of digital platforms and user cognitive inertia jointly exacerbate information cocoons; household energy decisions are affected by high discount rate assessments and loss aversion, causing households to stick to inefficient equipment. This study innovatively integrates the content of behavioral economics and neuroeconomics, and conducts case analysis in the fields of healthcare, news, and energy. In terms of optimization solutions, this study combines multidisciplinary consultation systems, mandatory algorithm transparency, full-cycle energy cost disclosure, and energy defaults to provide decision makers with theoretical and practical basis for breaking inertial decision-making and improving system adaptability.