Safety climate: its nature and predictive power

The field of organisational climate and of specific aspects such as safety climate, has produced a number of theoretical and empirical scientific contributions, and their applied interest is self-evident. The concept of safety climate, which is the main focus of this paper, emerged in the wake of th...

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Main Authors:	Amparo Oliver, Jose Manual Tomas, Alistair Cheyne
Format:	Default Article
Published:	2006
Subjects:	Other commerce, management, tourism and services not elsewhere classified Safety climate Accident prediction Multilevel models Business and Management not elsewhere classified
Online Access:	https://hdl.handle.net/2134/37508
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id	rr-article-9497546
record_format	Figshare
spelling	rr-article-94975462006-01-01T00:00:00Z Safety climate: its nature and predictive power Amparo Oliver (7196354) Jose Manual Tomas (7196357) Alistair Cheyne (1255086) Other commerce, management, tourism and services not elsewhere classified Safety climate Accident prediction Multilevel models Business and Management not elsewhere classified The field of organisational climate and of specific aspects such as safety climate, has produced a number of theoretical and empirical scientific contributions, and their applied interest is self-evident. The concept of safety climate, which is the main focus of this paper, emerged in the wake of the seminal work by Zohar (1980). The safety climate construct has been used in the literature on safety at work, as either an antecedent of accident rates or as an aspect to be measured for the correct assessment of company safety, or even as consequence of organisational features and actions such as type of company, size and safety investment. However, theoretical development of the concept has not been paralleled by appropriate empirical assessment, especially in the Spanish context. The aim of this paper is to test empirically the main theoretical properties of safety climate through multilevel statistical models, well-suited to this type of research design. Its specific objectives are: a) to empirically test the safety climate property of shared perception; b) to test the predictive power of safety climate in relation to accident rates; and c) to study the relative importance of the different safety climate dimensions in the context of Spanish industry, while statistically controlling for physical aspects of occupational safety. 2006-01-01T00:00:00Z Text Journal contribution 2134/37508 https://figshare.com/articles/journal_contribution/Safety_climate_its_nature_and_predictive_power/9497546 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Other commerce, management, tourism and services not elsewhere classified Safety climate Accident prediction Multilevel models Business and Management not elsewhere classified
spellingShingle	Other commerce, management, tourism and services not elsewhere classified Safety climate Accident prediction Multilevel models Business and Management not elsewhere classified Amparo Oliver Jose Manual Tomas Alistair Cheyne Safety climate: its nature and predictive power
description	The field of organisational climate and of specific aspects such as safety climate, has produced a number of theoretical and empirical scientific contributions, and their applied interest is self-evident. The concept of safety climate, which is the main focus of this paper, emerged in the wake of the seminal work by Zohar (1980). The safety climate construct has been used in the literature on safety at work, as either an antecedent of accident rates or as an aspect to be measured for the correct assessment of company safety, or even as consequence of organisational features and actions such as type of company, size and safety investment. However, theoretical development of the concept has not been paralleled by appropriate empirical assessment, especially in the Spanish context. The aim of this paper is to test empirically the main theoretical properties of safety climate through multilevel statistical models, well-suited to this type of research design. Its specific objectives are: a) to empirically test the safety climate property of shared perception; b) to test the predictive power of safety climate in relation to accident rates; and c) to study the relative importance of the different safety climate dimensions in the context of Spanish industry, while statistically controlling for physical aspects of occupational safety.
format	Default Article
author	Amparo Oliver Jose Manual Tomas Alistair Cheyne
author_facet	Amparo Oliver Jose Manual Tomas Alistair Cheyne
author_sort	Amparo Oliver (7196354)
title	Safety climate: its nature and predictive power
title_short	Safety climate: its nature and predictive power
title_full	Safety climate: its nature and predictive power
title_fullStr	Safety climate: its nature and predictive power
title_full_unstemmed	Safety climate: its nature and predictive power
title_sort	safety climate: its nature and predictive power
publishDate	2006
url	https://hdl.handle.net/2134/37508
_version_	1797279620954849280

Safety climate: its nature and predictive power

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