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  • 2019_Curcuruto Conchie Griffin_SCB Cross Cultural Study

    Rights statement: This is the author’s version of a work that was accepted for publication in Accident Analysis and Prevention. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Accident Analysis and Prevention, 129, 2019 DOI: 10.1016/j.aap.2019.05.023

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Safety citizenship behavior (SCB) in the workplace: A stable construct? Analysis of psychometric invariance across four European countries

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<mark>Journal publication date</mark>1/08/2019
<mark>Journal</mark>Accident Analysis and Prevention
Volume129
Number of pages12
Pages (from-to)190-201
Publication StatusPublished
Early online date1/06/19
<mark>Original language</mark>English

Abstract

Safety citizenship behaviors (SCBs) are important participative organizational behaviors that emerge in work-groups. SCBs create a work environment that supports individual and team safety, encourages a proactive management of workplace safety, and ultimately, prevents accidents. In spite of the importance of SCBs, little consensus exists on research issues like the dimensionality of safety citizenship, and if any superordinate factor level of safety citizenship should be conceptualized, and thus measured. The present study addressed this issue by examining the dimensionality of SCBs, as they relate to behaviors of helping, stewardship, civic virtue, whistleblowing, voice, and initiating change in current practices. Data on SCBs were collected from four industrial plants (N = 1065) in four European countries (Italy, Russia, Switzerland, United Kingdom). The results show that SCBs structure around two superordinate second-order factors that reflect affiliation and challenge. Multi-group analyses supported the structure and metric invariance of the two-factor model across the four national subsamples.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Accident Analysis and Prevention. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Accident Analysis and Prevention, 129, 2019 DOI: 10.1016/j.aap.2019.05.023