How Scheduling Can Bias Quality Assessment: Evidence from Food-Safety Inspections

审查 地铁列车时刻表 食品安全 质量(理念) 一致性(知识库) 风险分析(工程) 运营管理 业务 补习教育 质量管理 精算学 计算机科学 心理学 工程类 医学 管理制度 哲学 法学 人工智能 数学教育 病理 操作系统 认识论 政治学
作者
Maria R. Ibanez,Michael W. Toffel
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:66 (6): 2396-2416 被引量:61
标识
DOI:10.1287/mnsc.2019.3318
摘要

Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes inspection quality by altering inspector stringency. Our analysis of thousands of food-safety inspections reveals that inspectors are affected by the inspection outcomes at their prior-inspected establishment (outcome effects), citing more violations after they inspect establishments that exhibited worse compliance levels or trends. Moreover, consistent with negativity bias, the effect is stronger after observing compliance deterioration than improvement. Inspection results are also affected by when the inspection occurs within an inspector’s day (daily schedule effects): Inspectors cite fewer violations after spending more time conducting inspections throughout the day and when inspections risk prolonging their typical workday. Overall, our findings suggest that currently unreported violations would be cited if the outcome effects—which increase scrutiny—were triggered more often and if the daily schedule effects—which erode scrutiny—were reduced. For example, our estimates indicate that if outcome effects were doubled and daily schedule effects were fully mitigated, 11% more violations would be detected, enabling remedial actions that could substantially reduce foodborne illnesses and hospitalizations. Understanding and addressing these inspection biases can help managers and policymakers improve not only food safety but also process quality, environmental practices, occupational safety, and working conditions. This paper was accepted by Serguei Netessine, operations management.

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