Author List: Chilton, Michael A.; Hardgrave, Bill C.; Armstrong, Deborah J.;
Journal of Management Information Systems, 2005, Volume 22, Issue 2, Page 193-226.
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).
Keywords: adaption-innovation theory; job performance; person--job fit; software developers; software development; strain
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List of Topics

#152 0.289 software development process performance agile processes developers response tailoring activities specific requirements teams quality improvement outcomes productivity improve fit maturity
#205 0.144 cognitive style research rules styles human individual personality indicates stopping users composition analysis linguistic contextual certain differences preferred theoretical activity
#295 0.127 task fit tasks performance cognitive theory using support type comprehension tools tool effects effect matching types theories modification working time
#108 0.114 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#262 0.089 impact data effect set propensity potential unique increase matching use selection score results self-selection heterogeneity evidence measure associated estimate leads
#273 0.080 source open software oss development developers projects developer proprietary community success openness impact paper project associated activity phenomenon peripheral variety
#298 0.074 job employees satisfaction work role turnover employee organizations organizational information ambiguity characteristics personnel stress professionals conflict organization intention variables systems