By Mehdi Khosrowpour
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Additional resources for Advanced Topics in Information Resources Management Series, Vol. 1
Hildebrand, C. (1999). Does KM=IT? CIO Enterprise, Sept. 15. html . Kalakota, R. and Robinson, M. (1999). e-Business: Roadmap for Success. Reading, MA: Addison-Wesley. Kanter, R. M. (1983). The Change Masters: Innovation & Entrepreneurship in the American Corporation. New York, NY: Simon & Schuster. Kerr, S. (1995). Creating the boundaryless organization: The radical reconstruction of organization capabilities. Planning Review, September/October, 41-45. Kohn, A. (1995). Punished by Rewards: The Trouble With Gold Stars, Incentive Plans, A’s, Praise, and Other Bribes.
The architectural metadata created and evolved consists of the organizational data architecture structure definitions and specific associations among individual system data models. Metadata Structuring: This phase focuses on developing a framework guiding the organizational data architecture implementation as it populates data models in the next phase. Metadata creation is followed by the development of a data model structure. Data models must also be evolved. The term “structuring” indicates the iterative development process that occurs as the organizational data architecture structure developed during the previous phase is populated with metadata.
2. Architectural Correctness: The information describing the architecture is correctly represented with the appropriate methodology. That is, the organization can use the methodology to maintain uniform data definitions throughout the organization. 3. Management Utility: The data architecture is widely used by the organization in strategic planning and systems development as an indication of its utility. In practice, architectures too often wind up as shelf-ware. 4. Data Management Quality: The organization as a whole is data-driven.