D
Diane M. Strong
Researcher at Worcester Polytechnic Institute
Publications - 116
Citations - 15172
Diane M. Strong is an academic researcher from Worcester Polytechnic Institute. The author has contributed to research in topics: Information quality & Information system. The author has an hindex of 37, co-authored 115 publications receiving 13960 citations. Previous affiliations of Diane M. Strong include University of Wisconsin–Oshkosh & Simon Fraser University.
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Journal ArticleDOI
Beyond accuracy: what data quality means to data consumers
Richard Y. Wang,Diane M. Strong +1 more
TL;DR: Using this framework, IS managers were able to better understand and meet their data consumers' data quality needs and this research provides a basis for future studies that measure data quality along the dimensions of this framework.
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Extending the technology acceptance model with task–technology fit constructs
Mark T. Dishaw,Diane M. Strong +1 more
TL;DR: The authors' integrated IT utilization model is an extension of TAM to include TTF constructs and provides more explanatory power than either model alone, which should lead to a better understanding of choices about using IT.
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AIMQ: a methodology for information quality assessment
TL;DR: The methodology encompasses a model of IQ, a questionnaire to measure IQ, and analysis techniques for interpreting the IQ measures, which are applied to analyze the gap between an organization and best practices.
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Data quality in context
TL;DR: A new study reveals businesses are defining data quality with the consumer in mind, and within this larger context of information systems, data is collected from multiple data sources and stored in databases.
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Information quality benchmarks: product and service performance
TL;DR: There is a critical need for a methodology that assesses how well organizations develop information products and deliver information services to consumers, and Benchmarks developed from such a methodology can help compare information quality across organizations, and provide a baseline for assessing IQ improvements.