The impact of personality on information technology team projects

Peslak, Alan R.

doi:10.1145/1125170.1125233

Cited by 39 publications

(27 citation statements)

References 19 publications

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“…Some of their results indicate that personality dimension conscientiousness correlates with certain attitudes towards work style, openness to change and task preference, and higher levels of openness to experience is linked to preferring to take responsibility for a whole project and not individual parts. Research conducted by Peslak [56] presents a descriptive and correlational experimental study to evaluate the impact of personality with respect to team processes, project success and, finally, team personality diversity. The results suggest that personality is not related to team processes but does have to do with project success, whereas team personality diversity is unconnected with project success.…”

Section: Related Workmentioning

confidence: 99%

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Are team personality and climate related to satisfaction and software quality? Aggregating results from a twice replicated experiment

Acuña

Gómez

Hannay

et al. 2015

Information and Software Technology

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in:Information and Software Technology 57 (2015) We aggregate the results of the three studies through a meta-analysis of correlations. The study was conducted with students.Results: The aggregation of results from the baseline experiment and two replications corroborates the following findings. There is a positive relationship between all four climate factors and satisfaction in software development teams. Teams whose members score highest for the agreeableness personality fac-tor have the highest satisfaction levels. The results unveil a significant positive correlation between the extraversion personality factor and software product quality. High participative safety and task orienta-tion climate perceptions are significantly related to quality. Conclusions: First, more efficient software development teams can be formed heeding personality factors like agreeableness and extraversion. Second, the team climate generated in software development teams should be monitored for team member satisfaction. Finally, aspects like people feeling safe giving their opinions or encouraging team members to work hard at their job can have an impact on software quality. Software project managers can take advantage of these factors to promote developer satisfaction and improve the resulting product.

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Section: Related Workmentioning

confidence: 99%

“…We use the mean as an aggregation measure of the group data following Barry and Stewart [10], Barrick et al [9], van Vianen and De Dreu [66] and English et al [28]. More recently, Peslak [56] has also used the mean of the individual scores of each team member to get software developer team constructs.…”

Section: Introductionmentioning

confidence: 99%

Are team personality and climate related to satisfaction and software quality? Aggregating results from a twice replicated experiment

Acuña

Gómez

Hannay

et al. 2015

Information and Software Technology

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“…They should all be seen as unavoidable, because they are software development characteristics. Therefore, the key is to learn how to manage the conflicts (although some can be positive) and try to avoid or at least minimize incompatibilities among people [55].…”

Section: Database Designermentioning

confidence: 99%

Formal model for assigning human resources to teams in software projects

André

Baldoquín

Acuña

2011

Information and Software Technology

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“…In this regard, numerous studies have investigated SE team performance and effective team composition based on personality traits [51], [52]. Pieterse & Kourie [52] looked at the role of personality within teams of tertiary students.…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…However, in terms of the effect or influence of personality towards PP's effectiveness, existing results were inconsistent [51]. Research evidence also suggests that developers' personality is one of PP's most critical success factors [4], [13], [33].…”

Section: Introductionmentioning

confidence: 99%

An empirical study of the effects of personality in pair programming using the five-factor model

Salleh

Mendes

Grundy

et al. 2009

2009 3rd International Symposium on Empirical Software Engineering and Measurement

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Abstract-Pair Programming (PP) has been long researched in industry and academia. Although research evidence about its usefulness is somewhat inconclusive, previous studies showed that its use in an academic environment can benefit students in programming and design courses. In our study, we investigated the "human" aspect of PP; in particular the effects that personality attributes may have on PP's effectiveness as a pedagogical tool. We conducted a formal experiment at the University of Auckland to investigate the influence of personality differences among paired students using the FiveFactor Model as a personality measurement framework. The aim of our study was to improve the implementation of PP as a pedagogical tool through understanding the impact the variation in the personality profile of paired students has towards their academic performance. Our findings showed that differences in personality traits did not significantly affect the academic performance of students who pair programmed. In addition, the majority (88%) of students were satisfied with the PP experience and 87% responded that their confidence level increased when pairing.

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The impact of personality on information technology team projects

Cited by 39 publications

References 19 publications

Are team personality and climate related to satisfaction and software quality? Aggregating results from a twice replicated experiment

Are team personality and climate related to satisfaction and software quality? Aggregating results from a twice replicated experiment

Formal model for assigning human resources to teams in software projects

An empirical study of the effects of personality in pair programming using the five-factor model

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