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005 | 20240605121524.0 | ||
008 | 240605b |||||||| |||| 00| 0 eng d | ||
022 | _a01446193 | ||
040 |
_aMSU _bEnglish _cMSU _erda |
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050 | 0 | 0 | _aHD9715.A1 CON |
100 | 1 |
_aBehm, Michael _eauthor |
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245 | 1 | 0 |
_aApplication of the Loughborough construction accident causation model: _ba framework for organizational learning _ccreated by Michael Behm and Arthur Schneller |
264 | 1 |
_aAbingdon: _bTaylor and Francis, _c2013 |
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336 |
_2rdacontent _atext _btxt |
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337 |
_2rdamedia _aunmediated _bn |
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338 |
_2rdacarrier _avolume _bnc |
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440 |
_aConstruction Management and Economics _vVolume 31, number 4-6 |
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520 | 3 | _aIn order for the construction industry to improve its poor safety performance it needs to learn from its safety mistakes and put the lessons learned to good use. Incident investigation theories and techniques vary widely in the peer-reviewed literature. The Loughborough Construction Accident Causation (ConAC) model was applied to State Department of Transportation construction accidents, and is proposed as a tool to facilitate organizational learning in the construction industry. Details of the methodology utilized are described so that it can be duplicated in research and in practice. By investigating 27 DOT construction incidents, the research demonstrates how the model can be used both in research and in practice. The model yielded 6.63 causes/factors/influences identified per incident, and correlated the causes to determine relationships. Incident causality is complex and multi-faceted. The Loughborough model facilitates a holistic view of incident causality and thus organizational learning. | |
650 |
_aAccident _vOrganizational learning _xSafety _zLoughborough |
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700 |
_aSchneller, Arthur _eco-author |
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856 | _uhttps://doi.org/10.1080/01446193.2012.690884 | ||
942 |
_2lcc _cJA |
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999 |
_c165925 _d165925 |