Measuring Data Believability: A Provenance Approach
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- Steven Tadelis, 2003. "Firm reputation with hidden information," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 21(2), pages 635-651, March.
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Cited by:
- Prat, Nicolas & Madnick, Stuart E., 2008. "Evaluating and Aggregating Data Believability across Quality Sub-Dimensions and Data Lineage," Working papers 40085, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Nicolas Prat, 2019. "Augmented Analytics," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 375-380, June.
- Vliegen, Lea & Moroff, Nikolas Ulrich & Riehl, Katharina, 2020. "Evaluation of data quality in dimensioning capacity," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 355-394, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
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