The paper discusses an approach how to measure the competitive advantage of harmonized order processing data by making use of knowledge about the interdependencies between related benefit dimensions. Corresponding harmonization projects are all projects that strive for common structures in product attributes, classification systems or product structures. The main objective of the underlying research work is the development of a method for the estimation of the benefit potential of harmonized order processing data.
What is the competitive advantage of interoperable information systems? Taking this research question as a guideline the paper discusses how to approach the challenge of assessing the benefits of integrated systems. The main focus is laid on the direct and indirect effects of standardization projects which aim at continuous and homogenous order processing data. The knowledge based approach starts on data level and takes care of the interdependencies between the subsequent levels of aggregation. The problem immanent complexity is caused by the variety of heterogeneous product and process describing attributes. The application of management cybernetics in order to handle this challenge constitutes the focal point of this paper.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.