Abstract
It is often the case that ideal sociotechnical systems (STS) profiles cannot be implemented. Consequently, STS designers often must decide which among the many design features in an ideal STS profile to implement. This paper presents a theory for understanding the dependencies among ideal design features. With such a theory, if choices among ideal features must be made, the relative impact of choosing not to implement one ideal feature on the effectiveness of other ideal features will be better understood. Several propositions are offered based on the theory, including a proposal that not all ideal design features are needed since some can compensate for others. The theory was applied to manufacturing organizations and tested using data obtained from site visits to 86 companies. The results indicated that the theory significantly differentiated higher from lower performing manufacturing organizations. The theory has been embodied in a computational modeling software program that has been used by over 50 industrial sites in the United States. Implications of such a theory for STS practice as well as furthering STS theory-building are discussed.