The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Individual adaptive performance in organizations: A review: ADAPTIVE PERFORMANCE: A REVIEW
Abstract
Modern work is frequently characterized by jobs where adaptive performance (AP) is crucial for employees to succeed in light of new or altered task demands. This recognition has fueled growing interest in AP as a dimension of workplace performance. To this point, however, research on AP has evolved from disparate perspectives and methods, resulting in fragmentation and a less than coherent knowledge base. This paper presents a comprehensive review of research studies regarding the nomological network of individual AP. In doing so, we synthesize the current knowledge base surrounding correlates of AP, elucidate current ambiguities, and suggest directions for future research efforts. We conclude that although the extant AP literature has amassed a critical body of studies linking various predictors to successful AP outcomes, much remains unknown, most critically regarding the implications of different methods of assessing AP, the effects of different types of changes in the task environment, the process of AP, and the steps organizations can take to foster AP among their employees. We hope that our synthesis and analysis paves the way for efforts to address these important questions. Copyright © 2014 John Wiley & Sons, Ltd.
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Cites
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Self-citationWhen and where do we apply what we learn?: A taxonomy for far transfer
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“Although the trait approach emphasizes consistent behavioral tendencies across situations, emerging research has identified consistent within-person associations (Mischel & Shoda, 1995) between situational cues and Big Five personality expressions (Fleeson, 2001; Huang & Ryan, 2011).”
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Cited by
A Self-Regulation Model of Zhong Yong Thinking and Employee Adaptive Performance
Pan, W., & Sun, L.-Y. (2018) · Management and Organization Review · doi:10.1017/mor.2017.33 · Cited by 70
Navigating the maze: the effects of algorithmic management on employee performance
Liu, M., Lan, Y., Liu, Z., Liu, M., & Xia, Y. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03453-z · Cited by 15
Leyens, T., Lievens, F., & Hofmans, J. (2026) · Journal of Occupational and Organizational Psychology · doi:10.1111/joop.70076 · Cited by 2
Metadata
- Authors
- Jundt, D. K., Shoss, M. K., & Huang, J. L.
- Venue
- Journal of Organizational Behavior
- Publisher
- Wiley
- Published
- 2014-09-16
- Volume
- 36
- Issue
- S1
- Pages
- S53-S71
- ISSN
- 0894-3796 (ISSN-L)
- OpenAlex
- W1691894076
- Cited by
- 311
- References
- 13
- FWCI
- 18.19
- Type
- journal article
- Language
- en
- Open access
- closed
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