Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
Various obstacles such as a lack of analytics readiness (e.g. disparate databases, missing data, low validity) or competencies (e.g. personnel capable of cleaning data and running analyses) are causing underutilization of analytics in organizations. A safety-analytics maturity assessment such as the Data Analytics Readiness Tool (DART) can assist organizations with understanding their current capabilities. Organizations can then advance their analytics capabilities to eventually predict safety incidents and identify preventative measures for specific risk variables. The proposed safety-analytics assessment evaluates: (a) quality of the data currently available, (b) organizational norms around data collection, scaling, and nomenclature, (c) foundational infrastructure for technological capabilities and expertise in data collection, storage, and analysis of safety and health metrics, and (d) measurement culture around employee willingness to participate in reporting, audits, inspections, and observations and how managers use data to improve workplace safety.
Date
10-16-2021
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
DART: Data Analytics Readiness Tool
Various obstacles such as a lack of analytics readiness (e.g. disparate databases, missing data, low validity) or competencies (e.g. personnel capable of cleaning data and running analyses) are causing underutilization of analytics in organizations. A safety-analytics maturity assessment such as the Data Analytics Readiness Tool (DART) can assist organizations with understanding their current capabilities. Organizations can then advance their analytics capabilities to eventually predict safety incidents and identify preventative measures for specific risk variables. The proposed safety-analytics assessment evaluates: (a) quality of the data currently available, (b) organizational norms around data collection, scaling, and nomenclature, (c) foundational infrastructure for technological capabilities and expertise in data collection, storage, and analysis of safety and health metrics, and (d) measurement culture around employee willingness to participate in reporting, audits, inspections, and observations and how managers use data to improve workplace safety.
Department
University of Tennessee at Chattanooga. Dept. of Psychology