Siguang Li and Xi Weng
The purpose of this paper is to investigate the optimal allocation of authority within “chain” organizations and to show when partial centralization becomes dominant in the sense…
Abstract
Purpose
The purpose of this paper is to investigate the optimal allocation of authority within “chain” organizations and to show when partial centralization becomes dominant in the sense of organizational performance.
Design/methodology/approach
This paper takes an incomplete contract approach and uses an information transmission framework to investigate the optimal governance structure, in which non-contractible decisions must be adapted to local operating conditions, and also coordinated with the upstream and downstream divisions. We also use simulation analysis to numerically show the theoretical mapping between the underlying parameters (i.e. coordination need) and the dominant organizational structures.
Findings
Partial decentralization will arise as the optimal governance structure only when the information in the middle branch is relatively concentrated or dispersive, so as to exploit the underlying information structure in the “chain” organizations. Specifically, when information is highly concentrated, direct control of the middle branch can improve coordination within firms. When the information is highly dispersive, to delegate authority to the middle branch only can improve communication.
Originality/value
This paper characterizes the optimal governance structure in “chain” organizations. The findings may give some enlightenment on real authority driven by ex ante asymmetric information structures and have implications on asymmetric delegation within firms.
Details
Keywords
Wenhao Yi, Mingnian Wang, Jianjun Tong, Siguang Zhao, Jiawang Li, Dengbin Gui and Xiao Zhang
The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock…
Abstract
Purpose
The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock tunnels of high-speed railways.
Design/methodology/approach
Relying on the support vector machine (SVM)-based classification model, the nominal classification of blastholes and nominal zoning and classification terms were used to demonstrate the heterogeneity identification method for the surrounding rock of tunnel face, and the identification calculation was carried out for the five test tunnels. Then, the suggestions for local optimization of the support structures of large-section rock tunnels were put forward.
Findings
The results show that compared with the two classification models based on neural networks, the SVM-based classification model has a higher classification accuracy when the sample size is small, and the average accuracy can reach 87.9%. After the samples are replaced, the SVM-based classification model can still reach the same accuracy, whose generalization ability is stronger.
Originality/value
By applying the identification method described in this paper, the significant heterogeneity characteristics of the surrounding rock in the process of two times of blasting were identified, and the identification results are basically consistent with the actual situation of the tunnel face at the end of blasting, and can provide a basis for local optimization of support parameters.