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The Impact of the Safety Awareness & Performance by the Intelligent Image Analysis System

지능형 영상분석 시스템이 작업자 안전의식 및 행동에 미치는 영향

  • Jang, Hyun Song (Dept of Business Administration, Seoul School of Integrated Sciences & Technologies)
  • 장현성 (서울과학종합대학원 경영학과)
  • Received : 2015.06.01
  • Accepted : 2015.09.18
  • Published : 2015.09.30

Abstract

The study examined the relationship between workers' safety awareness, safety performance and the components of the intelligent image analysis system in accordance with preventing the workers from safety hazard in dangerous working area. Based on the safety performance model, we include safety knowledge, safety motivation, safety compliance and safety participation, and we also define three additional factors of the intelligent image analysis system such as functional feature, penalty and incentive by using factor analysis. SEM(Structural Equation Modeling) analyses on the data from the total of 73 workers showed that functional feature of intelligent analysis system and incentive were positively related to safety knowledge and safety motivation. And mediation effects of the relationship were verified to safety compliance and safety participation through safety knowledge as well.

Keywords

References

  1. Jang Hyun Song(2015), " Intelligent Image Analysis System for Preventing Safety Hazards in Dangerous Working Area."Journal of Korea Safety Management Science. vol. 17 no. 2, pp 47-54. https://doi.org/10.12812/ksms.2015.17.2.47
  2. Parker, D., Lawrie, M., & Hudson, P. (2006), "A framework for understanding the development of organizational safety culture." Safety Science, 44(6), 551-562. https://doi.org/10.1016/j.ssci.2005.10.004
  3. Neal, A., Griffin, M. A., & Hart, P. M. (2000). "The impact of organizational climate on safety climate and individual behavior." Safety science, 34(1), 99-109. https://doi.org/10.1016/S0925-7535(00)00008-4
  4. Christian, M. S., Bradley, J. C., Wallace, J. C., & Burke, M. J. (2009), "Workplace safety: a meta-analysis of the roles of person and situation factors." Journal of Applied Psychology, 94(5), 1103. https://doi.org/10.1037/a0016172
  5. Cooper, M. D., & Phillips, R. A. (2004). "Exploratory analysis of the safety climate and safety behavior relationship." Journal of safety research, 35(5), 497-512. https://doi.org/10.1016/j.jsr.2004.08.004
  6. Browne, M. W., & Cudeck, R. (1992), "Alternative ways of assessing model fit." Sociological Methods & Research, 21(2), 230-258. https://doi.org/10.1177/0049124192021002005
  7. McDonald, R. P., & Marsh, H. W. (1990), "Choosing a multivariate model: Noncentrality and goodness of fit." Psychological bulletin, 107(2), 247. https://doi.org/10.1037/0033-2909.107.2.247
  8. Cheung, G. W., & Rensvold, R. B. (2002), "Evaluating goodness-of-fit indexes for testing measurement invariance." Structural equation modeling, 9(2), 233-255. https://doi.org/10.1207/S15328007SEM0902_5