Some empirical evidence on IS strategy alignment in banking
Information and Management
De profundis? Deconstructing the concept of strategic alignment
Scandinavian Journal of Information Systems
Towards a documentation maturity model
Proceedings of the 21st annual international conference on Documentation
Ideal patterns of strategic alignment and business performance
Information and Management
Strategic alignment in requirements analysis for organizational IT: an integrated approach
Proceedings of the 2005 ACM symposium on Applied computing
An Enterprise Architecture Alignment Measure for Telecom Service Development
EDOC '07 Proceedings of the 11th IEEE International Enterprise Distributed Object Computing Conference
Measuring the fitness relationship
Requirements Engineering
Aligning application architecture to the business context
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
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Innovative Enterprise Architecture EA approaches developed by researchers and focused on the evaluation and the analysis of organizations require an extensive set of "measurable" input parameters. In practice, organizations often cannot provide the required data, which makes the implementation of these approaches difficult. In this work, the authors specify the build-up process that represents a systematic identification, gathering, and consolidation of data required by the target EA approach. This paper illustrates the build-up process by presenting a case study where the research approach to business-IT fitness measurement, in the context of a real industrial project in a mass retail company, is implemented. Initially, the poor quality of the input data presented a serious threat for business-IT alignment assessment using the fitness measurements. After the input parameters have been built up, the applicability of the fitness measurements were significantly improved and alignment assessment was accomplished successfully. By using the build-up process, it is possible to increase the applicability of any research approach in EA and, in spite of the initial absence of input measurable parameters, to deliver meaningful results to practitioners.