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003 OCoLC;

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007 cr bn|||||||||;

008 150831s2015 ncua ob 000 0 eng d;

035 a| (Sirsi) o919448437;

035 a| (OCoLC)919448437;

049 a| EREE;

090 a| T57.95;

100 1 a| Tebehaevu, Ogaga Jonathan,e| author.?| UNAUTHORIZED;

245 10 a| Uncertainty in qualitative risk analysis and rating systems :b| modeling decision making determinants /c| by Ogaga Jonathan Tebehaevu.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2015.;

300 a| 70 pages :b| illustrations (some color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 1.37Mb2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2015.;

500 a| Presented to the faculty of the Department of Technology Systems.;

500 a| Advisor: Michael Behm.;

500 a| Title from PDF t.p. (viewed October 6, 2015).;

520 3 a| As workplace risk assessment is pivotal to ensure the safety and health of workers, adopting a reliable technique in performing this assessment cannot be overemphasized. The qualitative risk analysis is considered the most common technique of performing risk assessment, yet has received strong criticism as being influenced by subjectivity and lack of systematic process. The utility of risk matrices in scoring and obtaining risk rating has further complicated this technique and made it quite challenging for management to establish confidence in decision-making based on qualitative analysis. This study identified those subjective factors impairing the credibility of qualitative techniques and actually measured their impacts. By means of a simulated worksite scenario with identified hazards, Certified Safety Professionals, Engineers and Students were made to analyze, rate and make an overall decision on the scenario with a view to understanding the influence of those subjective predictors in the decision outcome. The goal was to determine what factors influence the decision making process and if Certified Safety professionals would be most influenced by these factors to produce a distinct outcome from the other groups. A comprehensive decision model was also used as a holistic approach to model the decision outcome of these predictors. The predictor factors were statistically significant though, but the results presented further systematic characteristics in the risk analysis and ratings among the three groups.;

504 a| Includes bibliographical references.;

650 0 a| Risk assessment.=| ^A221641;

650 0 a| Decision making.=| ^A1353;

650 0 a| Industrial hygiene.=| ^A1455;

650 0 a| Industrial safety.=| ^A746;

653 a| Occupational safety;

653 a| Systems science;

653 a| Qualitative risk analysis;

653 a| Risk matrix;

653 a| Uncertainty;

700 1 a| Behm, Michael,e| degree supervisor.=| ^A1144980;

710 2 a| East Carolina University.b| Department of Technology Systems.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/5038;

949 o| jgml;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 3808180;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3808180-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 8/31/2015x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3808180-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 8/31/2015x| ETDz| HERESOURCE;

Uncertainty in qualitative risk analysis and rating systems : modeling decision making determinants / by Ogaga Jonathan Tebehaevu.

Author/creator	Tebehaevu, Ogaga Jonathan author.
Other author	Behm, Michael, degree supervisor.
Other author	East Carolina University. Department of Technology Systems.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2015.
Description	70 pages : illustrations (some color)
Supplemental Content	Access via ScholarShip
Subjects	Risk assessment. Decision making. Industrial hygiene. Industrial safety.

Summary	As workplace risk assessment is pivotal to ensure the safety and health of workers, adopting a reliable technique in performing this assessment cannot be overemphasized. The qualitative risk analysis is considered the most common technique of performing risk assessment, yet has received strong criticism as being influenced by subjectivity and lack of systematic process. The utility of risk matrices in scoring and obtaining risk rating has further complicated this technique and made it quite challenging for management to establish confidence in decision-making based on qualitative analysis. This study identified those subjective factors impairing the credibility of qualitative techniques and actually measured their impacts. By means of a simulated worksite scenario with identified hazards, Certified Safety Professionals, Engineers and Students were made to analyze, rate and make an overall decision on the scenario with a view to understanding the influence of those subjective predictors in the decision outcome. The goal was to determine what factors influence the decision making process and if Certified Safety professionals would be most influenced by these factors to produce a distinct outcome from the other groups. A comprehensive decision model was also used as a holistic approach to model the decision outcome of these predictors. The predictor factors were statistically significant though, but the results presented further systematic characteristics in the risk analysis and ratings among the three groups.
General note	Presented to the faculty of the Department of Technology Systems.
General note	Advisor: Michael Behm.
General note	Title from PDF t.p. (viewed October 6, 2015).
Dissertation note	M.S. East Carolina University 2015.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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Uncertainty in qualitative risk analysis and rating systems : modeling decision making determinants / by Ogaga Jonathan Tebehaevu.

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