Adopting Knowledge flow in determining risk factors for Ergonomic: An analytical questionnaire study of a sample of workers in the (Mosaic) company for furniture and furnishings

Abstract

The study sought, within its theoretical and field framework, to analyse the  dependence of knowledge flow in identifying risk factors for human  engineering, based on hypotheses that link the study variables represented by  knowledge flow and the risks of human engineering to achieve a tangible  contribution to knowledge management and human engineering to reach a work  environment through which working individuals can achieve The objectives of  the organization, by establishing the potential vision of the evolutionary  approaches that occur to the flow of knowledge and the risk factors for human  engineering through a survey study of the opinions of individuals working in  (Mosaic) for furniture and furnishings, to represent the research sample, by  adopting a questionnaire form to collect data and information to determine the  relationships between the research variables for the purpose of Diagnosing the  ability of knowledge flow in identifying the most dangerous factors in the field  of human engineering by relying on the results of statistical analysis, which  reflected the objectives of the study, which is to increase the theoretical and  field knowledge of working individuals about the concepts of knowledge flow  and the related risk factors related to human engineering. The problem of the  study can be identified in its general framework by asking the following  question: How can the flow of knowledge control and identify risk factors in  organizational work? To achieve this, the hypothesis that was tested was  formulated through a number of statistical methods, and (40) forms were  distributed for the purpose of analysis and linking the relationship between the  two variables. Circumstances, based on the so-called "error data banks" that are  based mainly on pre-made knowledge flow data that include all the possibilities  of error (malfunction) for various tasks, and under any circumstances. A  number of recommendations consistent with these conclusions were presented