The main challenge for steering IS evolution is to cope with the uncertainty inherent to any IS change, while taking into consideration its complexity due to the entanglement of its multiple dimensions: regulation, information, activity and technology. We observe that i) steering IS evolution requires understanding its IS domain, ii) its impacts are difficult to predict and iii) the guidance for IS evolution steering is almost nonexistent. Consequently, the main goal of this thesis is to provide an approach to reduce uncertainty by exploiting the information available in the IS and by considering its multiple dimensions. In particular, we intend to reach four interrelated sub-goals: 1) to propose a steering information kernel which integrates the multiple IS dimensions into one model, 2) to provide a generic model of IS evolution, 3) to provide analysis perspectives for the evolution and 4) to provide guidance for IS evolution steering.