Fragility in Network Systems: An Empirical Investigation

DOI

10.2991/jrnal.2017.4.1.18How to use a DOI?

Keywords

degree, fragility, Keiretsu, relationship, Yokokai.

Abstract

A survey of the relevant literature reveals that a plethora of network analytic facets, such as degree, eigenvalue, density, block, cluster, have been developed and employed to further our understanding of network structures. To extend our understanding of network systems, additional dimensions need to be identified that shed light on the dynamic processes among individual member nodes within network structures. Within the context of network systems, this paper proposes a new concept of fragility. More specifically, it develops and empirically tests a mathematical model of fragility from the standpoint of how ties among network members significantly influence corporate performance, thus uniquely contributing to extant knowledge. Using data drawn from two well-known network organizations, Mazda and Toyota, this research attempts to shed light on the relationship between degree and fragility, to confirm the validity of the new concept as well as enabling a contrast of Mazda and Toyota’s network structures. Based on the findings, the managerial implications are discussed, the study limitations are identified and directions for further research are suggested.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Tsutomu Ito
AU  - Katsuhiko Takahashi
AU  - Katsumi Morikawa
AU  - Takao Ito
AU  - Rajiv Mehta
AU  - Seigo Matsuno
AU  - Makoto Sakamoto
PY  - 2017
DA  - 2017/06/01
TI  - Fragility in Network Systems: An Empirical Investigation
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 81
EP  - 86
VL  - 4
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.1.18
DO  - 10.2991/jrnal.2017.4.1.18
ID  - Ito2017
ER  -