Strategic programming is a generic programming idiom for processing compound data such as terms or object structures. At the heart of the approach is the separation of two concerns: basic data-processing computations vs. traversal schemes. Actual traversals can be composed by passing the former as arguments to the latter. Traversal schemes can be defined by the strategic programmer using a comb...

This paper examines connections between data-driven models for analyzing a firm's strategic plans, which use activity-based costing and mathematical programming, and the resource-based view of the firm. After brief reviews of the three disciplines, extensions of activity-based costing methods to mathematical programming models for strategic resource planning are discussed. Applications of these...

Strategic programming is an idiom for generic programming where the concept of a strategy plays a central role. A strategy is a generic, dataprocessing action. Strategies are first-class citizens as witnessed by a combinator style. Two important characteristics of strategies are that they can traverse into compound data, and that they can be customized by type-specific actions. We provide a gen...

Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply chain partners. Supply chain management emphasizes cross-functional links to improve the competitive strategy of organizations. Now, companies are ...

Attribute grammars are a powerful specification formalism for tree-based computation, particularly for software language processing. Various extensions have been proposed to abstract over common patterns in attribute grammar specifications. These include various forms of copy rules to support non-local dependencies, collection attributes, and expressing dependencies that are evaluated to a fixe...