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/
Included in
Human Resources Management Commons, Industrial and Organizational Psychology Commons, Management Sciences and Quantitative Methods Commons
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.
Department
University of Tennessee at Chattanooga. Dept. of Psychology