Both personality and social identity predict perceived software team productivity: A survey study
Journal article, 2026
Objective: We investigate which factors from personality (Big Five) and social identity (Collective Self-Esteem) best predict perceived team productivity in software development, and whether both constructs contribute. Method: We surveyed 71 software professionals, measuring Big Five personality traits (Mini-IPIP), Collective Self-Esteem (Luhtanen and Crocker scale), and self-assessed team productivity. We used multiple linear regression with backward elimination.
Results: Predictors from both constructs survived backward elimination. Agreeableness was the strongest predictor of perceived team productivity, followed by Public Collective Self-Esteem and Membership Esteem, with Neuroticism predicting productivity negatively. Intellect/Openness sat near the inclusion threshold and should be read as tentative given the lenient alpha. The retained model explains roughly a third of the variance in perceived team productivity.
Conclusion: Personality and social identity are complementary predictors of software team productivity. The three strongest predictors come from both constructs, suggesting practitioners should attend to both individual traits and group identification when composing and managing teams.
Software team productivity
Personality
Collective self-esteem
Social identity
Regression
Big five
Author
Karim Abdeldayem
Student at Chalmers
Karam Khatib
Student at Chalmers
Lucas Gren
University of Gothenburg
Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)
Information and Software Technology
0950-5849 (ISSN)
Vol. 197 108196Subject Categories (SSIF 2025)
Software Engineering
Applied Psychology
Sociology
DOI
10.1016/j.infsof.2026.108196
Related datasets
Survey [dataset]
URI: https://zenodo.org/records/20034765