Shadow IT Use, Outcome Effects, and Subjective Performance Evaluation.

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Title: Shadow IT Use, Outcome Effects, and Subjective Performance Evaluation.
Authors: Allen, Drew1, Burton, F. Greg1, Smith, Steven D.1, Wood, David A.1
Source: Journal of Strategic Innovation & Sustainability. 2019, Vol. 14 Issue 3, p29-42. 14p.
Subjects: Performance evaluation, Employee bonuses, Performance awards
Abstract: Using shadow IT may be seen as either a form of organizational misbehavior or proactive and creative problem-solving. These perceptions have implications for the subjective evaluation of subordinate performance. In our experiment, participants choose whether to award a bonus to an employee when different IT systems are used across different outcome levels. We find that employees using shadow IT are less likely to receive the bonus in both high and low outcome conditions relative to employees using the normal IT system, suggesting that managers consider shadow IT usage an organizational misbehavior which casts a negative light on employee performance. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Strategic Innovation & Sustainability is the property of North American Business Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 138167190
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PubType: Academic Journal
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  Data: Shadow IT Use, Outcome Effects, and Subjective Performance Evaluation.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Strategic+Innovation+%26+Sustainability%22">Journal of Strategic Innovation & Sustainability</searchLink>. 2019, Vol. 14 Issue 3, p29-42. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Employee+bonuses%22">Employee bonuses</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+awards%22">Performance awards</searchLink>
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  Label: Abstract
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  Data: Using shadow IT may be seen as either a form of organizational misbehavior or proactive and creative problem-solving. These perceptions have implications for the subjective evaluation of subordinate performance. In our experiment, participants choose whether to award a bonus to an employee when different IT systems are used across different outcome levels. We find that employees using shadow IT are less likely to receive the bonus in both high and low outcome conditions relative to employees using the normal IT system, suggesting that managers consider shadow IT usage an organizational misbehavior which casts a negative light on employee performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Strategic Innovation & Sustainability is the property of North American Business Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.33423/jsis.v14i3.2104
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        Text: English
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      – SubjectFull: Performance evaluation
        Type: general
      – SubjectFull: Employee bonuses
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      – SubjectFull: Performance awards
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      – TitleFull: Shadow IT Use, Outcome Effects, and Subjective Performance Evaluation.
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            NameFull: Allen, Drew
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            NameFull: Smith, Steven D.
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              Text: 2019
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