Supply chain collaboration is claimed to yield significant improvements in multiple performance areas: it is believed to reduce costs, to increase quality, to improve delivery, to augment flexibility, to cut procurement cost and lead time, and to stimulate innovativeness. Yet empirical support...

New information technologies and e-business solutions have transformed supply chain operations from mass production to mass customization. This paper assesses the impact of these innovations on economic productivity, focusing on the macroeconomic benefits as supply chain operations have evolved...

When using a decision support system (DSS) containing a large model base, a user has to decide which specific models are relevant for any particular task. When the model base is large and diverse, this task can be quite difficult. Furthermore, the number and variety of models available can be...

Decision models are often based on certain assumptions as to their validity. Relevant assumptions may include value-based assumptions, such as limitations on the range or values of some input variables or exogenous factors, as well as assumptions about model structure (e.g., linearity). In a...

Firms that set up electronic marketplaces to enhance their supply and/or distribution channels face challenges in attracting their competitors to participate. A major obstacle is the perception that the owner can unfairly exploit trading information for competitive advantage. In this paper, we...

Most decision support systems (DSS) contain stored data, data analysis procedures, and decision models. However, many DSS have grown to the point that the average end user is presented with a bewildering array of information resources that are difficult to manage in an effective manner. As a...