Search results

Just as materials undergo acceptance sampling to improve quality, so should the human resources undergo acceptance sampling to improve the quality they contribute to a product. The importance of high quality human resources in computer‐integrated manufacturing (CIM) production environments is particularly important because of the technology that is at risk to operator control. Suggests that the development of a quality assurance programme for screening human resources that work in CIM environments improves product quality and reduces technology risk. Outlines a quality assurance programme for human resources, along with an illustrative application of how acceptance sample methods can be used in the programme.

MANY who realise the implications of White's book on The Organisation Man have probably closed it with the self‐satisfied reflection that ‘it can't happen here.’ That is the anodyne we generally swallow to protect us from disagreeable fears.

The failure of organizations to adopt CASE tools has been an area of interest to business researchers for over a decade. The purpose of this study is to test whether the previous research provides a basis for predicting the current adoption of CASE tools by organizations. This study uses a neural network methodology to predict CASE tool adoption using factors that were previously identified in the literature. The model consisted of six variables: IS department stability, need to improve IS department performance, use of external sources of knowledge, job rotation, pressure to reduce development time, and CASE champion. The study found that all the variables were relevant in the prediction of CASE tool adoption with an average accuracy of 71.43 percent.