Information Quality.

Organizations today have access to vast stores of data that come in a wide variety of forms and may be stored in places ranging from file cabinets to databases, and from library shelves to the Internet. The enormous growth in the quantity of data, however, has brought with it growing problems with the quality of information, further complicated by the struggles many organizations are experiencing as they try to improve their systems for knowledge management and organizational memory. Failure to manage information properly, or inaccurate data, costs businesses billions of dollars each year. This volume presents cutting-edge research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with the problem of ensuring quality while processing data into information a company can use. Part III presents case studies, while Part IV explores organizational issues related to information quality. Part V addresses issues in information quality education.

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Year of publication:	2005 ; 1st ed.
Authors:	Wang, Xiaohu (Shawn)
Other Persons:	Fisher, Ronald C. (contributor) ; Zwass, Vladimir (contributor) ; Pierce, Elizabeth M (contributor) ; Madnick, Stuart E. (contributor) ; Fisher, Craig W (contributor) ; Wang, Richard Y. (contributor)
Publisher:	Hoboken : Taylor and Francis
Subject:	Theorie \| Theory \| Informationswert \| Information value \| Produktqualität \| Product quality \| Dienstleistungsqualität \| Service quality \| Qualitätsmanagement \| Quality management \| Information \| Informationsverhalten \| Information behaviour
Description of contents:	Table of Contents [gbv.de]

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Extent:	1 online resource (278 pages)
Series:	Advances in management information systems ; v. 1
Type of publication:	Book / Working Paper
Language:	English
Notes:	Description based on publisher supplied metadata and other sources. Cover; Half Title; Title Page; Copyright Page; Table of Contents; Series Editor's Introduction; Acknowledgments; 1. Introduction; Part I. Measuring Data Quality; 2. Measuring Data Accuracy: A Framework and Review; 3. Developing Measurement Scales for Data-Quality Dimensions; 4. A Cyclic-Hierarchical Method for Database Data-Quality Evaluation and Improvement; 5. Model-Based Data-Quality Evaluation: A Comparison of Internet Classifieds Operated by Newspapers and Nonnewspaper Firms; Part II. Modeling and Developing Information Processes for Information Quality 6. Building Quality into Information Supply Chains: Robust Information Supply Chains7. What's in Your Information Product Inventory?; 8. IP-UML: A Methodology for Quality Improvement Based on Information Product Maps and Unified Modeling Language; Part III. Data- and Information-Quality Improvement: Case Studies; 9. Introducing Data-Quality Management in Data Warehousing; 10. Improving Government-to-Business Relationships Through Data Reconciliation and Process Reengineering; 11. Understanding Interdependencies Between Information and Organizational Processes Part IV. Organizational Issues in Information Quality12. Exemplifying Business Opportunities for Improving Data Quality from Corporate Household Research; 13. Criticality of Factors Affecting Data Quality of Accounting Information Systems: How Perceptions of Importance and Performance Can Differ; Part V. Education and Capability Building in Information Quality; 14. Teaching, Learning, and Curriculum Development to Support Managing Information as a Product; 15. Redefining the Scope and Focus of Information-Quality Work: A General Systems Theory Perspective; Editors and Contributors Series EditorIndex
ISBN:	978-1-317-46799-1 ; 978-0-7656-1133-8 ; 978-0-7656-1133-8
Source:	ECONIS - Online Catalogue of the ZBW

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