The influence of organizational factors on safety in Taiwanese high-risk industries

Shang Hwa Hsu, Chun Chia Lee, Muh Cherng Wu, Kenichi Takano

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

Organizational theorists have recently begun to pay research attention to the workforces of emerging countries in Asia, especially the greater China regions. However, little research has focused on the influence of organizational factors on safety in these countries. This study hypothesized that organizational factors, characterized as safety leadership perspective (management commitment, blame culture) and safety climate perspective (harmonious relationships), would influence group-level safety management, which would in turn influence individual level safety awareness and practices. To test this hypothesis, a safety climate questionnaire was distributed to ten Taiwanese plants in high-risk industries. Structural equation modeling (SEM) was used to analyze the linkages among organizational level factors, work-group-level factors, and workers' safety awareness and practices. We found that safety leadership style and organizational harmony in Taiwanese high-risk industries can exert significant influences on work-group processes, which in turn have greater effects on individual safety awareness and practices. These findings and implications can serve as a basis for safety improvement in areas of the greater China region.

Original languageEnglish
Pages (from-to)646-653
Number of pages8
JournalJournal of Loss Prevention in the Process Industries
Volume23
Issue number5
DOIs
Publication statusPublished - 2010 Sept

Keywords

  • Guanxi-oriented culture
  • High-risk industry
  • Organizational factors
  • Safety climate
  • Safety management

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Food Science
  • General Chemical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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