Inter-event time interval analysis of organizational-level activity: Venture capital market case

被引:7
|
作者
Zhang, Xin [1 ,2 ,3 ]
Xie, Sheng [1 ]
Vilela, Andre L. M. [2 ,3 ,4 ]
Stanley, H. Eugene [2 ,3 ]
机构
[1] Shanghai Maritime Univ, Coll Commun & Transport, Shanghai 201306, Peoples R China
[2] Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA
[3] Boston Univ, Dept Phys, 590 Commonwealth Ave, Boston, MA 02215 USA
[4] Univ Pernambuco, BR-50720001 Recife, PE, Brazil
基金
美国国家科学基金会;
关键词
Inter-event time distribution; Complex system; Organizational behavior; Temporal network; SCALING PROPERTIES; ZIPF DISTRIBUTION; HUMAN DYNAMICS; HEAVY TAILS; POWER-LAW; DISTRIBUTIONS; NETWORKS; ORIGIN;
D O I
10.1016/j.physa.2018.09.050
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Examining the venture capital market as a representative case, we made the first empirical study about timing and rhythm in organizational behavior. We analyze inter-event time intervals and find that the fat-tailed property of organizational behavior is similar that found in individual behavior, but that its lower scaling exponent indicates it is more heterogeneous than individual behavior. We quantify the observable burst and memory effect in organizational behavior. The burst effect occurs when organizations make frequent business deals during a short time period. This is a potential factor affecting economic cycles and market turbulence. The memory effect occurs when future organizational behavior correlates with past behavior, which potentially allows the prediction of future behavior. We find fewer bursts and a stronger memory effect in organizational behavior than in individual behavior. This difference may be related to resource constraint, business routine, and market competition. These findings shed light on the changeable features of organizational behavior and economic system. We drew a necessity to extend study on human dynamics to organization dynamics by exploring real organizational data in a wide range and proposing a mechanism to better modeling organizational behaviors. Understanding the temporal characteristics of organizational behavior is essential to understanding economic complexities. (C) 2018 Published by Elsevier B.V.
引用
收藏
页码:346 / 355
页数:10
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