信息消费与公司规模。

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Royal Society Open Science Pub Date : 2024-11-06 eCollection Date: 2024-11-01 DOI:10.1098/rsos.240027
Edward D Lee, Alan P Kwan, Rudolf Hanel, Anjali Bhatt, Frank Neffke
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引用次数: 0

摘要

社会和生物集体通过内部网络交换信息,从而发挥作用。对信息传递的数量和种类研究较少。我们描述了进入组织(主要是商业公司)的信息流的特征。我们使用数百万企业员工访问文章的大型数据集来衡量在线阅读情况。我们对阅读量、种类和公司规模这三个方面进行了测量和量化。我们将阅读量与企业规模进行了比较,结果表明,企业规模与阅读量呈亚线性增长。这就好比信息消费的规模经济,夸大了企业经济学中经典的齐普夫定律不等式。我们将种类和数量联系起来,说明阅读种类是有限的。规模超过临界值的企业会重复阅读,这与简单模型中员工团队之间开始出现协调问题是一致的。最后,我们将阅读种类与规模联系起来。这种关系与大型企业在成长过程中不断积累利益是一致的。我们认为这反映了结构上的限制。以缩放关系为基线,我们表明过量阅读与回报和估值密切相关。结果表明,信息消费如何反映了内部结构,而不仅仅是员工个人,这对于其他系统中的集体信息处理同样重要。
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Information consumption and firm size.

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.

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来源期刊
Royal Society Open Science
Royal Society Open Science Multidisciplinary-Multidisciplinary
CiteScore
6.00
自引率
0.00%
发文量
508
审稿时长
14 weeks
期刊介绍: Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review. The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.
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