Abstract
Previous research shows that organizational databases contain data errors. If undetected, these data errors may significantly affect business outcomes. The study described in this paper examines two ways that users may learn to detect these data errors: direct experience and indirect experience. The results will have implications for the design of information system training programs.
Recommended Citation
Klein, Barbara, "User Detection of Errors in Data: Learning through Direct and Indirect Experiences" (1998). AMCIS 1998 Proceedings. 260.
https://aisel.aisnet.org/amcis1998/260
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