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Predictors of Well-being and Productivity of Software Professionals during the COVID-19 Pandemic - A Longitudinal Study

Russo, Daniel and Hanel, Paul HP and Altnickel, Seraphina and van Berkel, Niels (2021) 'Predictors of Well-being and Productivity of Software Professionals during the COVID-19 Pandemic - A Longitudinal Study.' Empirical Software Engineering, 26 (4). 62-. ISSN 1382-3256

Russo2020_Predictors of Well-being and Productivity among Software Professionals.pdf - Accepted Version

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The COVID-19 pandemic has forced governments worldwide to impose movement restrictions on their citizens. Although critical to reducing the virus' reproduction rate, these restrictions come with far-reaching social and economic consequences. In this paper, we investigate the impact of these restrictions on an individual level among software engineers who were working from home. Although software professionals are accustomed to working with digital tools, but not all of them remotely, in their day-to-day work, the abrupt and enforced work-from-home context has resulted in an unprecedented scenario for the software engineering community. In a two-wave longitudinal study (N = 192), we covered over 50 psychological, social, situational, and physiological factors that have previously been associated with well-being or productivity. Examples include anxiety, distractions, coping strategies, psychological and physical needs, office set-up, stress, and work motivation. This design allowed us to identify the variables that explained unique variance in well-being and productivity. Results include (1) the quality of social contacts predicted positively, and stress predicted an individual's well-being negatively when controlling for other variables consistently across both waves; (2) boredom and distractions predicted productivity negatively; (3) productivity was less strongly associated with all predictor variables at time two compared to time one, suggesting that software engineers adapted to the lockdown situation over time; and (4) longitudinal analyses did not provide evidence that any predictor variable causal explained variance in well-being and productivity. Overall, we conclude that working from home was per se not a significant challenge for software engineers. Finally, our study can assess the effectiveness of current work-from-home and general well-being and productivity support guidelines and provides tailored insights for software professionals.

Item Type: Article
Uncontrolled Keywords: Pandemic; COVID-19; Productivity; Well-being; Longitudina lStudy; Remote Work
Divisions: Faculty of Science and Health
Faculty of Science and Health > Psychology, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 01 Mar 2021 15:56
Last Modified: 28 Apr 2022 01:00

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