Anchoring data quality dimensions in ontological foundations
Communications of the ACM
Communications of the ACM
Communications of the ACM
A product perspective on total data quality management
Communications of the ACM
Information quality benchmarks: product and service performance
Communications of the ACM - Supporting community and building social capital
Communications of the ACM - Supporting community and building social capital
Data Quality for the Information Age
Data Quality for the Information Age
Geoinformatica
A Framework for Analysis of Data Quality Research
IEEE Transactions on Knowledge and Data Engineering
The Impact of Data Quality Information on Decision Making: An Exploratory Analysis
IEEE Transactions on Knowledge and Data Engineering
The Impact of Experience and Time on the Use of Data Quality Information in Decision Making
Information Systems Research
Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption
Information Systems Research
How do users evaluate the credibility of Web sites?: a study with over 2,500 participants
Proceedings of the 2003 conference on Designing for user experiences
Communications of the ACM - Next-generation cyber forensics
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Journey to Data Quality
Supporting data quality management in decision-making
Decision Support Systems
Accessing information sharing and information quality in supply chain management
Decision Support Systems
Eight key issues for the decision support systems discipline
Decision Support Systems
Evaluating a model for cost-effective data quality management in a real-world CRM setting
Decision Support Systems
Modeling the information completeness of object tracking systems
The Journal of Strategic Information Systems
Assessing the perception of information components in financial decision support systems
Decision Support Systems
Improving financial data quality using ontologies
Decision Support Systems
A multidimensional analysis of data quality for credit risk management: New insights and challenges
Information and Management
Determinant of Intention to Use Search Engine Advertising: A Conceptual Model
International Journal of Enterprise Information Systems
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In organizations today, the risk of poor information quality is becoming increasingly high as larger and more complex information resources are being collected and managed. To mitigate this risk, decision makers assess the quality of the information provided by their IS systems in order to make effective decisions based on it. To do so, they may rely on quality metadata: objective quality measurements tagged by data managers onto the information used by decision makers. Decision makers may also gauge information quality on their own, subjectively and contextually assessing the usefulness of the information for solving the specific task at hand. Although information quality has been defined as fitness for use, models of information quality assessment have thus far tended to ignore the impact of contextual quality on information use and decision outcomes. Contextual assessments can be as important as objective quality indicators because they can affect which information gets used for decision making tasks. This research offers a theoretical model for understanding users' contextual information quality assessment processes. The model is grounded in dual-process theories of human cognition, which enable simultaneous evaluation of both objective and contextual information quality attributes. Findings of an exploratory laboratory experiment suggest that the theoretical model provides an avenue for understanding contextual aspects of information quality assessment in concert with objective ones. The model offers guidance for the design of information environments that can improve performance by integrating both objective and subjective aspect of users' quality assessments.