论文标题
预测在COVID-19大流行期间软件专业人员之间的福祉和生产力 - 一项纵向研究
Predictors of Well-being and Productivity among Software Professionals during the COVID-19 Pandemic -- A Longitudinal Study
论文作者
论文摘要
联盟19日的大流行迫使全世界政府对其公民施加行动限制。尽管对于降低病毒的繁殖率至关重要，但这些限制会带来深远的社会和经济后果。在本文中，我们研究了这些限制对在家工作的软件工程师中个人级别的影响。尽管软件专业人员习惯于使用数字工具，但并非所有这些工具都在日常工作中遥不可及，但突然而实施的工作中环境导致了软件工程社区的前所未有的情况。在一项两波纵向研究（n = 192）中，我们涵盖了以前与幸福感或生产力相关的50多个心理，社会，情境和生理因素。例子包括焦虑，分心，应对策略，心理和身体需求，办公室设置，压力和工作动机。这种设计使我们能够确定解释福祉和生产力中独特差异的变量。结果包括（1）社交质量的积极预测，并在控制两个波浪的其他变量时会否定个人的福祉； （2）无聊和分心会对生产力进行负面的预测； （3）与时间第一相比，时间二的所有预测变量的生产率与所有预测变量的关联程度不大，这表明软件工程师随着时间的推移适应了锁定状况； （4）纵向分析没有提供证据表明任何预测变量可变的因果解释了幸福感和生产力的差异。总体而言，我们得出的结论是，在家中工作对于软件工程师而言并不是一个重大挑战。
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.
