Abstract
The results or human factors/ergonomics research are not always applicable to the solution of realworld problems. Six reasons for this situation, important from a systems management perspective, are identified. Difficulties stem from future uncertainty, the use of static models, the relationship between models and data, the criteria for ‘good’ research, the hierarchical level selected for representing human performance, and the need to construct integrated models. A number of means are suggested for rectifying present deficiencies. The formal recognition of a systems management role in the guidance of human factors/ergonomics research is stressed.