Information about the users' work activity patterns is essential for office space planning and the design of organizations. However, it is not clear yet what factors can be used for predicting work activities, especially at the group level. In this study, we found that work activity patterns of groups are associated with the workgroup's job function and their location in the organizational collaboration networks. Two hypotheses were tested through a survey conducted on a sample of 188 managers from an Italian utility company. The participants were asked about (1) the percentage of time different groups (based on job function and demographic composition) spent doing individual, collaborative, and mobile work; and (2) how network connectivity affected individual versus group work. The results showed that workgroups with different job functions spent different percentages of time on individual, mobile, and teamwork. Communication network connectivity is not significantly correlated with the amount of time spent on individual work, but statistical evidence confirmed that it plays an essential role for the assessment of the amount of work time spent on teamwork, even more than job functions. By investigating the factors affecting collaborations between groups, we advanced the research on work activity in large companies in order to complement existing studies that mostly addressed work activity patterns at the individual level. How information about collaboration networks can be utilized for space planning and flexible work arrangement policy-making is also discussed, in light of the changes that the COVID-19 pandemic has triggered.

中文翻译：

---

工作活动模式和协作网络：工作场所空间规划和设计的新驱动力

有关用户工作活动模式的信息对于办公空间规划和组织设计至关重要。然而，目前尚不清楚哪些因素可用于预测工作活动，尤其是在团队层面。在这项研究中，我们发现小组的工作活动模式与工作小组的工作职能及其在组织协作网络中的位置有关。通过对来自意大利公用事业公司的 188 名经理的样本进行的一项调查，测试了两个假设。参与者被问及（1）不同组（基于工作职能和人口构成）花在个人、协作和移动工作上的时间百分比；(2) 网络连接如何影响个人和小组工作。结果表明，具有不同工作职能的工作组在个人、移动和团队合作上花费了不同百分比的时间。通信网络连接与个人工作所花费的时间没有显着相关性，但统计证据证实，它在评估团队合作所花费的工作时间方面起着至关重要的作用，甚至比工作职能更重要。通过调查影响群体之间合作的因素，我们推进了对大公司工作活动的研究，以补充现有的研究，这些研究主要针对个人层面的工作活动模式。还讨论了如何将有关协作网络的信息用于空间规划和灵活的工作安排决策，