Lee Edward D, Kwan Alan P, Hanel Rudolf, Bhatt Anjali, Neffke Frank
Complexity Science Hub, Vienna, Austria.
Hong Kong University, Hong Kong, People's Republic of China.
R Soc Open Sci. 2024 Nov 6;11(11):240027. doi: 10.1098/rsos.240027. eCollection 2024 Nov.
Social and biological collectives exchange information through internal networks to function. Less studied is the quantity and variety of information transmitted. We characterize the information flow into organizations, primarily business firms. We measure online reading using a large dataset of articles accessed by employees across millions of firms. We measure and relate quantitatively three aspects: reading volume, variety and firm size. We compare volume with size, showing that firm sizes grow sublinearly with reading volume. This is like an economy of scale in information consumption that exaggerates the classic Zipf's law inequality for firm economics. We connect variety and volume to show that reading variety is limited. Firms above a threshold size read repetitively, consistent with the onset of a coordination problem between teams of employees in a simple model. Finally, we relate reading variety to size. The relationship is consistent with large firms that accumulate interests as they grow. We argue that this reflects structural constraints. Taking the scaling relations as a baseline, we show that excess reading is strongly correlated with returns and valuations. The results indicate how information consumption reflects internal structure, beyond individual employees, as is likewise important for collective information processing in other systems.
社会和生物群体通过内部网络交换信息以实现功能。但对于所传输信息的数量和种类的研究较少。我们描述了流入组织(主要是商业公司)的信息流。我们使用来自数百万家公司员工访问的文章的大型数据集来衡量在线阅读情况。我们定量测量并关联了三个方面:阅读量、阅读种类和公司规模。我们将阅读量与公司规模进行比较,结果表明公司规模随阅读量呈次线性增长。这类似于信息消费中的规模经济,它夸大了公司经济学中经典的齐普夫定律不平等现象。我们将阅读种类和阅读量联系起来,结果表明阅读种类是有限的。超过阈值规模的公司会重复阅读,这与一个简单模型中员工团队之间协调问题的出现是一致的。最后,我们将阅读种类与公司规模联系起来。这种关系与随着规模增长而积累兴趣的大公司相符。我们认为这反映了结构上的限制。以这些标度关系为基线,我们表明过量阅读与回报率和估值密切相关。结果表明,信息消费如何反映超出个体员工的内部结构,这对于其他系统中的集体信息处理同样重要。