Abstract

The purpose of this study was to extract the organization-level determinants in predicting job stress and physical illness. Based upon the study of Hahn, Hahn, Kim & Sung(1988) and Hahn(1995), 24 constructs were used as the predictors of job stress and physical illness. Data obtained from 214 white-colored workers in an information technology(IT) company were analyzed using multiple regression analysis and canonical discriminant analysis. The result showed as follows: (1) the common predictors of job stress were perceived physical illness, equity, job itself, performance pressure from the one's superior, satisfaction with the company, and loyalty to the organization. (2) the common predictors of perceived physical illness were job stress, fulfillment of cognitive need, relationship with coworkers, performance pressure from the one's superior, role conflict, and turnover intention. Predictors discriminating between groups who perceived physical illness and groups who did not were 9 factors; feedback, autonomy, communication, job characteristics, fulfillment of cognitive need, leaders' ability to plan, relationships with one's superior, relationships with coworkers, turnover intention. 83.2% of total cases were significantly correctly classified by 4 major discriminant variables. Finally, based upon covariance structure modeling, a tentative causal model about relationship of organizational factors with job stress and physical illness was explained good-fit and parsimoniously.