冲击下的团队弹性:COVID-19大流行早期GitHub存储库的实证分析

Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei
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引用次数: 1

摘要

虽然在2019冠状病毒病大流行期间,许多组织已转向远程工作,但远程工作人员和远程团队如何受到这种冲击以及如何应对这种冲击和未来的冲击,在很大程度上仍不得而知。早在疫情大流行之前,软件开发人员就依赖于远程协作,在虚拟团队(GitHub存储库)中工作。这些储存库在大流行期间的动态为了解远程团队如何应对冲击提供了独特的机会。这项工作提出了一个系统的分析。我们通过比较公共GitHub存储库的规模和生产力,以及在没有大流行的情况下预测的反事实结果,来衡量早期大流行对公共GitHub存储库的总体影响。我们发现,在大流行的不同时期,这些团队的生产力水平和活跃成员人数差异很大。然后,我们进行了更细致的调查,并研究了冲击对单个团队的异质影响。我们发现,一个团队的应变能力与该团队在大流行前的某些特性高度相关。通过自举回归分析,我们揭示了哪些类型的团队对冲击是稳健的或脆弱的。
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Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic
While many organizations have shifted to working remotely during the COVID-19 pandemic, how the remote workforce and the remote teams are influenced by and would respond to this and future shocks remain largely unknown. Software developers have relied on remote collaborations long before the pandemic, working in virtual teams (GitHub repositories). The dynamics of these repositories through the pandemic provide a unique opportunity to understand how remote teams react under shock. This work presents a systematic analysis. We measure the overall effect of the early pandemic on public GitHub repositories by comparing their sizes and productivity with the counterfactual outcomes forecasted as if there were no pandemic. We find that the productivity level and the number of active members of these teams vary significantly during different periods of the pandemic. We then conduct a finer-grained investigation and study the heterogeneous effects of the shock on individual teams. We find that the resilience of a team is highly correlated to certain properties of the team before the pandemic. Through a bootstrapped regression analysis, we reveal which types of teams are robust or fragile to the shock.
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