Architectural innovation in product development through early supplier integration

The paper explains how an important opportunity exists to pro-actively integrate suppliers at an early stage in the concept exploration and definition stages of product development. Research suggests that the concept of architectural innovation can be extended so that product features are matched with the associated specialized technical skills of partners in the development team.
In addition to the establishment of integrated product teams, key enablers include: long-term commitment to suppliers; co-location; joint responsibility for design and configuration control; seamless information flow; and retaining flexibility in the definition of system configuration. Important contributing factors include: supplier-capability-enhancing investments; target costing; and incentive mechanisms. To promote innovative outcomes in military and government programmes, attention is drawn to the importance of governments championing closely-knit customer-supplier relationships.
Firms can build enduring competitive strength by leveraging the specialized knowledge bases of their supplier networks. Two case-studies provide lessons to improve current approaches to the creation of long-term partnerships, or strategic alliances, with suppliers.     

Linear versus process tracing approaches to judgment modelling: A new perspective on cue importance

For a bankruptcy prediction problem, the judgment formation process is studied using linear models and process tracing models. The linear models are constructed using traditional linear discriminant analysis techniques. The process tracing models are constructed using computer-generated algorithmically-based decision nets. All the models presented show good predictive accuracy. However, the linear models and process tracing models diverge widely on several measures of cue importance. This divergence, for a fairly straightforward problem, is intriguing since virtually all the evidence in the accounting literature about cue importance is based on linear models research. The importance of different information cues to decision-makers is clearly a critical issue in the design of effective accounting information systems. Thus, this study suggests the need for much more careful attention to the complex question of assessing cue importance.     

Economic policy with bounded controls

When investigating optimal policies for macroeconomic models, it is common practice to modify the objective function so that the resulting optimal control trajectories become acceptable from a practical point of view. In this paper we argue that the sole purpose of the objective function should be to express the preference of the decision makers, and that explicit bounds on the controls should be used to ensure that the optimal controls will be practical. Using a piece-wise quadratic objective function involving only the unemployment and inflation rates, which are state (endogenous) variables, we first develop a discrete minimum principle, giving necessary and sufficient optimality conditions. Then we perform various bounded control experiments with the 35-equation quarterly CLEAR model of the Canadian economy, which is very briefly described. The empirical results which were obtained using a version of the GRG algorithm are discussed in view of the conclusions that might be drawn for a real-world practical policy analysis.     

Full information estimation and stochastic simulation of models with rational expectations

A computationally feasible method for the full information maximum-likelihood estimation of models with rational expectations is described in this paper. The stochastic simulation of such models is also described. The methods discussed in this paper should open the way for many more tests of the rational expectations hypothesis within macroeconomic models.