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Person-Job Cognitive Style Fit for Software Developers: The Effect on Strain and Performance
Abstract
Software developers face a constant barrage of innovations designed to improve the development environment. Yet stress/strain among software developers has been steadily increasing and is at an all-time high, while their productivity is often questioned. Why, if these innovations are meant to improve the environment, are developers more stressed and less productive than they should be? Using a combination of cognitive style and person-environment fit theories as the theoretical lens, this study examines one potential source of stress/strain and productivity impediment among software developers. Specifically, this paper examines the fit between the preferred cognitive style of a software developer and his or her perception of the cognitive style required by the job environment, and the effect of that fit on stress/strain and performance. Data collected from a field study of 123 (object-oriented) software developers suggest that performance decreases and stress increases as this gap between cognitive styles becomes wider. Using surface response methodology, the precise fit relationship is modeled. The interaction of the developer and the environment provides explanatory power above and beyond either of the factors separately, suggesting that studies examining strain and performance of developers should explicitly consider and measure the cognitive style fit between the software developer and the software development environment. In practice, managers can use the results to help recognize misfit, its consequences, and the appropriate interventions (such as training or person/task matching).
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“Indeed better person-job fit has been related to a higher level of engagement and less burn-out (Chilton et al. 2005; for a review see Maslach et al. 2001).”
From Energy Management of People in Organizations: A Review and Research Agenda (2011) · cites this paper as Chilton et al. 2005
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Metadata
- Authors
- CHILTON, M. A., HARDGRAVE, B. C., & ARMSTRONG, D. J.
- Affiliations
- Kansas State University (US)
- University of Arkansas at Fayetteville (US)
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2005-11
- Volume
- 22
- Issue
- 2
- Pages
- 193-226
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W2097135276
- Cited by
- 138
- References
- 123
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 9 · 2023: 9 · 2022: 8 · 2021: 8 · 2020: 6 · 2019: 7 · 2018: 10 · 2017: 5 · 2016: 4 · 2015: 10 · 2014: 5 · 2013: 2 · 2012: 8
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Management Information Systems (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
- Keywords
- person-job fit, cognitive style, software developers, occupational stress, employee performance, person-environment fit, object-oriented software development, software development environment, developer productivity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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