A replicated quasi-experimental study on the influence of personality and team climate in software development

Gómez, Marta N.; Acuña, Silvia T.

doi:10.1007/s10664-013-9265-9

Cited by 17 publications

(22 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results for RQ1 showed that grouping based on the socialinteraction dimension 'alone' (introversion vs. extraversion) did not have any noticeable impact on team cohesion, as groups with all extraverts, all introverts, or mixed types reported different levels of TCMI values, regardless of the group formation types. This observation was similar to the findings of the study [11] in that no significant correlation between the extraversion personality type and team satisfaction was found. We also examined if there was any correlation between TCMI values reported by each student and her/his GPA (i.e.…”

Section: A Summary Of Findingssupporting

confidence: 91%

“…TCMI values). This observation is similar to the findings of the study in [11] in which no significant correlation between the extraversion personality factor and team satisfaction was found.…”

Section: A Rq1: Team Formation and Team Cohesion Morale Indexsupporting

confidence: 91%

“…While there exist a large body of research in this area, e.g. [4][5][6][7][8][9][10][11][12], there is a need for more empirical evidence and in-depth studies which look into each personality-related factors in more detail, e.g., introversion and extraversion.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating the Impact of Team Formation by Introversion/Extraversion in Software Projects

Garousi¹,

Tarhan²

2018

Balkan Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

Human factors have an important effect on performance of software teams and resulting software products. One of the seldom-studied aspects of human factors is the effect of personality-based team formation on team cohesion and quality of the software product. In this study, we investigate the above effect by conducting an exploratory case study during a term-long undergraduate software engineering course containing a project component with 50 undergraduate students. We grouped the students based on the social-interaction dimension (introversion/ extraversion) of the well-known Myers-Briggs Type Indicator (MBTI) personality assessment model. We then collected the relevant metrics to explore/analyze the two parameters of interest in our study: team cohesion, and project grade as an indicator of project output (i.e. resulting product quality). Our results show that there is some (although weak) relationship between the team formation scheme (based on either introversion or extraversion) with group performance and project grade. The results also show that mixed grouping of personality types has no significant effect on team cohesion but is advantageous in achieving higher project grades especially for people with low GPAs.

show abstract

Section: A Summary Of Findingssupporting

confidence: 91%

Section: A Rq1: Team Formation and Team Cohesion Morale Indexsupporting

confidence: 91%

See 1 more Smart Citation

Investigating the Impact of Team Formation by Introversion/Extraversion in Software Projects

Garousi¹,

Tarhan²

2018

Balkan Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

show abstract

“…In many studies, team climate has been recognized as a major environmental determinant of teamwork effectiveness (Acuña et al, 2008;G omez and Acuña, 2014;Acuña et al, 2015;Soomro et al, 2016). Team climate refers to members' shared perceptions of their proximal work environments, which dynamically influence their reactions and behaviors (Anderson and West, 1998;Liang et al, 2010;Zhang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Exploring the team dynamic learning process in software process tailoring performance

Lee

Chen

2020

JEIM

View full text Add to dashboard Cite

PurposeSoftware process tailoring (SPT) is a knowledge- and learning-intensive activity in which a software project team customizes its software development processes to accommodate project particularities. Because SPT critically influences how a project is conducted, SPT performance should be investigated, but the extant literature lacks investigations into how team knowledge mechanisms and team environments contribute to SPT performance. To fill this gap, this study looks into a team's absorptive capacity (AC) and combines a transactive memory system (TMS) and team climate inventory (TCI) to develop a theoretical research model to facilitate the understanding of SPT performance.Design/methodology/approachThis paper is a conceptual study that uses the propositional methodology with a focused review of existing literature pertaining to SPT, AC, TMS and TCI to develop a theoretical model to foster SPT performance. Because this study is conceptually established, further empirical research and studies are also suggested.FindingsThe proposed model provides guidance for firms conducting SPT. It also contributes to future research aiming to empirically understand the mechanisms behind the identified team-based knowledge and environmental enablers in the dynamic team learning process that lead to superior SPT performance.Originality/valueThe proposed model provides a fresh look at the dynamic capabilities theory in SPT and innovatively identifies a team's dynamic learning process to show how a team can conduct effective SPT through AC and facilitated by TMS. Environmental climates characterized by vision, participative safety, task orientation and support for innovation act as positive moderators in promoting the team dynamic learning process.

show abstract

“…From the individual perspective, a way to improve the performance of developers is to provide ways to improve themselves. By providing them tools to understand more about their individual qualities and the psychological aspects of other people, they can accept more responsibility in managing themselves and become more responsible for the project outcome [7]. Trust may be built, better forms of collaboration and communication flow of information could bridge together people, technology support and business intelligence to better accommodate the changing customer/employee needs and business workflows.…”

Section: Introductionmentioning

confidence: 99%

Personalised continuous software engineering

Papatheocharous¹,

Belk

Nyfjord³

et al. 2014

Proceedings of the 1st International Workshop on Rapid Continuous Software Engineering

View full text Add to dashboard Cite

This work describes how human factors can influence continuous software engineering. The reasoning begins from the Agile Manifesto promoting individuals and interactions over processes and tools. The organisational need to continuously develop, release and learn from software development in rapid cycles requires empowered and self-organised agile teams. However, these teams are formed without necessarily considering the members' individual characteristics towards effective teamwork, from the personality and cognitive perspective. In this realm, this paper proposes a two level approach: first, form teams based on their collective personality traits and second, provide personalised tools and methods based on their individual differences in cognitive processing. The approach is motivated by a study conducted in a business environment focusing on task execution, satisfaction and effectiveness of team members in relation to their personalities and cognitive characteristics. Our preliminary results show that human factors provide a promising basis for increasing the capability of continuous software engineering.

show abstract

A replicated quasi-experimental study on the influence of personality and team climate in software development

Cited by 17 publications

References 22 publications

Investigating the Impact of Team Formation by Introversion/Extraversion in Software Projects

Investigating the Impact of Team Formation by Introversion/Extraversion in Software Projects

Exploring the team dynamic learning process in software process tailoring performance

Personalised continuous software engineering

Contact Info

Product

Resources

About