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dc.contributor.advisorSteege, Linsey M.eng
dc.contributor.authorValluru, Charan Tejaeng
dc.date.issued2012eng
dc.date.submitted2012 Summereng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on November 5, 2012).eng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Linsey M. Steegeeng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM.S. University of Missouri--Columbia, 2012.eng
dc.description"July 2012"eng
dc.description.abstractEmployee safety has always been one of the most important priorities in 'high-risk' industries such as manufacturing. Recent investigations into some of the major industrial accidents have redirected the focus of safety researchers towards Safety culture (having a better underlying culture for safety) and safety climate. Most manufacturing requirements in developed nations are either outsourced or are met through an extension of the organization in economically developing countries with cheaper labor and nearly nonexistent safety regulations (Ali, 2006). While this situation opens up 'cultural challenges' for management committed towards maintaining the same underlying safety culture throughout their organization, individual level factors associated with accident rates have seldom been included in a safety culture model. This study takes the individual level approach in determining a better model for safety culture. It identifies various factors at the individual level under Individual and Cultural Traits (ICT). A total of 93 manufacturing employees from India and the United States were surveyed online as part of a pilot study. The resulting regression equation shows similarities to previously established factors that are associated with occupational injury rates. Future work using a larger stratified and controlled sample with better variance would provide a better model.eng
dc.format.extentviii, 92 pageseng
dc.identifier.urihttp://hdl.handle.net/10355/15974
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subjectsafety cultureeng
dc.subjectindividual level approacheng
dc.subjecthigh-risk industrieseng
dc.titleMeasuring the relationship between individual and cultural traits (ICT) and safety perceptions in manufacturing : development of a conceptual modeleng
dc.typeThesiseng
thesis.degree.disciplineIndustrial engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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