The effect of positive reinforcement of behavioral-based safety on safety participation in Philippine coal-fired power plant workers: a partial least squares structural equation modeling approach

Arving A. Abella, Yogi Tri Prasetyo*, Michael Nayat Young, Reny Nadlifatin, Satria Fadil Persada, Anak Agung Ngurah Perwira Redi, Thanatorn Chuenyindee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The power plant accident is considered one of the man-made disasters in many developing countries, including the Philippines. This study aimed to identify the factors influencing behavioral-based safety (BBS) of coal-fired power plant workers which subsequently led to their active safety participation (SPT). In total, 201 coal-fired power plant workers in the Philippines answered the questionnaire consisting of 60 items using a purposive sampling approach. Partial least squares structural equation modeling (PLS-SEM) revealed that personal measures (PM) had significant effects on safety incentives (SI), safety management system (SMS) and safety perception (SP). SP also had significant effect on BBS which subsequently led to SPT. Finally, SMS had significant effect on safety culture (SC) which subsequently led to safety communication (SCM), BBS and SPT. This study is the first to explore BBS in the Philippine coal-fired power plant, and can positively reinforce SPT of workers in the coal-fired power plant industry.

Original languageEnglish
Pages (from-to)951-962
Number of pages12
JournalInternational Journal of Occupational Safety and Ergonomics
Volume29
Issue number3
DOIs
Publication statusPublished - 2023

Keywords

  • behavioral-based safety
  • coal-fired power plants
  • partial least squares structural equation modeling
  • safety culture

Fingerprint

Dive into the research topics of 'The effect of positive reinforcement of behavioral-based safety on safety participation in Philippine coal-fired power plant workers: a partial least squares structural equation modeling approach'. Together they form a unique fingerprint.

Cite this