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Errors, error taxonomies, error prevention, and error management:Laying the groundwork for discussing errors in organizations

Authors: Hofmann, David A.; Frese, Michael;

Errors, error taxonomies, error prevention, and error management:Laying the groundwork for discussing errors in organizations

Abstract

Every organization is confronted with errors; these errors can result in either positive (e.g., learning, innovation) or negative (e.g., loss of time, poor-quality products) consequences. On the positive side, errors can lay the foundation for outcomes such as innovation and learning (e.g., Sitkin, 1992). For example, both Edmondson (1996) and van Dyck, Frese, Baer, and Sonnentag (2005) found that a positive and constructive approach to errors is associated with organizational outcomes such as learning and performance. With regard to the negative aspects of errors, the majority of the attention within the organizational sciences has focused on the investigation of highly salient and visible organizational failures (e.g., Challenger, Columbia, Chernobyl; Perrow, 1984; Reason, 1987; Starbuck & Farjoun, 2005; Starbuck & Milliken, 1988a; Vaughan, 1996). These investigations have taught us a great deal about how many seemingly independent decisions, actions, and organizational conditions can become interconnected and create extreme failure. These extreme examples, however, do not really capture the lion’s share of errors occurring within organizations. Individuals working in organizations make errors every day and every hour and (sometimes) make multiple errors in the span of a minute. Researchers, for example, have estimated that for some computer tasks, up to 50% of work time is spent on error recovery (Hanson, Kraut, & Farber, 1984; Kraut, Hanson, & Farber, 1983; Shneiderman, 1987), and Brodbeck, Zapf, Prümper, and Frese (1993) found that 10% of computer work time is spent handling and recovering from errors. Other computer-based research suggested that individuals average 18 unnecessary cursor movements per hour (Floyd & Pyun, 1987).

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/dk/atira/pure/core/keywords/549207066; name=Business psychology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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