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Safety climate: its nature and predictive power

journal contribution
posted on 09.04.2019, 08:55 by Amparo Oliver, Jose Manual Tomas, Alistair Cheyne
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.

History

School

  • Business and Economics

Department

  • Business

Published in

Psychology in Spain

Volume

10

Issue

(1)

Pages

28 - 36

Citation

OLIVER, A., TOMAS, J.M. and CHEYNE, A., 2006. Safety climate: its nature and predictive power. Psychology in Spain, 10 (1), pp.28-36.

Publisher

© Colegio Oficial de Psicólogos

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2006

Notes

This paper is closed access.

ISSN

1137-9685

Language

en