Department

University of Tennessee at Chattanooga. Dept. of Psychology

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Injuries and fatalities continue to occur at high rates across industries (BLS, 2018) despite attempts from researchers and practitioners to identify risks and improve operating procedures. Data analysis is currently used across other industries to improve outcomes, and the safety industry is turning to the use of big data in an attempt to lower injury rates. Despite the growing body of research including both data and safety outcomes, little has been done to understand the mechanisms of one of the most popular intervention techniques, behavior-based safety (BBS). BBS relies on human observation techniques, along with checklists, which increases the amount of reporting errors that can occur due to (a) culture, (b) the number of items and forms, and (c) production pressure. A quota system, along with these systemic barriers, may lead to adverse reporting behaviors, which reduces the utility of the reports in analysis (e.g. predicting safety outcomes). Accordingly, this research will examine the effects of a mandatory quota system on data quality and consequently on safety outcomes.

Date

October 2019

Subject

Industrial and organizational psychology

Document Type

posters

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

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Oct 26th, 10:00 AM Oct 26th, 10:45 AM

Does a Quota a Day Keep the (Safety) Doctor Away? The Effect of Mandatory Observation Quotas on Safety Outcomes

Injuries and fatalities continue to occur at high rates across industries (BLS, 2018) despite attempts from researchers and practitioners to identify risks and improve operating procedures. Data analysis is currently used across other industries to improve outcomes, and the safety industry is turning to the use of big data in an attempt to lower injury rates. Despite the growing body of research including both data and safety outcomes, little has been done to understand the mechanisms of one of the most popular intervention techniques, behavior-based safety (BBS). BBS relies on human observation techniques, along with checklists, which increases the amount of reporting errors that can occur due to (a) culture, (b) the number of items and forms, and (c) production pressure. A quota system, along with these systemic barriers, may lead to adverse reporting behaviors, which reduces the utility of the reports in analysis (e.g. predicting safety outcomes). Accordingly, this research will examine the effects of a mandatory quota system on data quality and consequently on safety outcomes.