Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems
This review article addresses the role of safety professionals in the diffusion strategies for predictive analytics for safety performance. The article explores the models, definitions, roles, and relationships of safety professionals in knowledge application, access, management, and leadership in s...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-03-01
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| Series: | Safety and Health at Work |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2093791120303401 |
| _version_ | 1797717221863063552 |
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| author | Thomas T. Barker |
| author_facet | Thomas T. Barker |
| author_sort | Thomas T. Barker |
| collection | DOAJ |
| description | This review article addresses the role of safety professionals in the diffusion strategies for predictive analytics for safety performance. The article explores the models, definitions, roles, and relationships of safety professionals in knowledge application, access, management, and leadership in safety analytics. The article addresses challenges safety professionals face when integrating safety analytics in organizational settings in four operations areas: application, technology, management, and strategy. A review of existing conventional safety data sources (safety data, internal data, external data, and context data) is briefly summarized as a baseline. For each of these data sources, the article points out how emerging analytic data sources (such as Industry 4.0 and the Internet of Things) broaden and challenge the scope of work and operational roles throughout an organization. In doing so, the article defines four perspectives on the integration of predictive analytics into organizational safety practice: the programmatic perspective, the technological perspective, the sociocultural perspective, and knowledge-organization perspective. The article posits a four-level, organizational knowledge-skills-abilities matrix for analytics integration, indicating key organizational capacities needed for each area. The work shows the benefits of organizational alignment, clear stakeholder categorization, and the ability to predict future safety performance. |
| first_indexed | 2024-03-12T08:33:18Z |
| format | Article |
| id | doaj.art-d2cdd2e9b87a476f9828ca659ac3a19f |
| institution | Directory Open Access Journal |
| issn | 2093-7911 |
| language | English |
| last_indexed | 2024-03-12T08:33:18Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Safety and Health at Work |
| spelling | doaj.art-d2cdd2e9b87a476f9828ca659ac3a19f2023-09-02T17:27:31ZengElsevierSafety and Health at Work2093-79112021-03-0112119Finding Pluto: An Analytics-Based Approach to Safety Data EcosystemsThomas T. Barker02-367 Enterprise Square 10230 Jasper Avenue NW, Edmonton, Alberta, T5J4P6, Canada.; The University of Alberta, Faculty of Extension, CanadaThis review article addresses the role of safety professionals in the diffusion strategies for predictive analytics for safety performance. The article explores the models, definitions, roles, and relationships of safety professionals in knowledge application, access, management, and leadership in safety analytics. The article addresses challenges safety professionals face when integrating safety analytics in organizational settings in four operations areas: application, technology, management, and strategy. A review of existing conventional safety data sources (safety data, internal data, external data, and context data) is briefly summarized as a baseline. For each of these data sources, the article points out how emerging analytic data sources (such as Industry 4.0 and the Internet of Things) broaden and challenge the scope of work and operational roles throughout an organization. In doing so, the article defines four perspectives on the integration of predictive analytics into organizational safety practice: the programmatic perspective, the technological perspective, the sociocultural perspective, and knowledge-organization perspective. The article posits a four-level, organizational knowledge-skills-abilities matrix for analytics integration, indicating key organizational capacities needed for each area. The work shows the benefits of organizational alignment, clear stakeholder categorization, and the ability to predict future safety performance.http://www.sciencedirect.com/science/article/pii/S2093791120303401big datadata sciencesafety |
| spellingShingle | Thomas T. Barker Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems Safety and Health at Work big data data science safety |
| title | Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems |
| title_full | Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems |
| title_fullStr | Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems |
| title_full_unstemmed | Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems |
| title_short | Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems |
| title_sort | finding pluto an analytics based approach to safety data ecosystems |
| topic | big data data science safety |
| url | http://www.sciencedirect.com/science/article/pii/S2093791120303401 |
| work_keys_str_mv | AT thomastbarker findingplutoananalyticsbasedapproachtosafetydataecosystems |