Title :
Research on Synergetic Evolution between the Enterprises in Network Society Community
Author :
Liu, Juan ; Zhang, Zhenji ; Guan, Xiaolan ; Chang, Dan
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
Abstract :
Recently, the Enterprises in Network Society Community developed rapidly and competed intensely. In order to prevent emergence reverse evolution of the network society communities, this study give some advices on the Synergetic Evolution between the Enterprises in Network Society Community. Through the comparison with the Traditional enterprise, the enterprises in Network Society Community have their own characteristics on traditional organization, formation and can competitive edge. Then this paper analyzed the way of synergetic evolution were mainly symbiotic, competitive, predation and parasitic. With the Model of Lotka-Volterra, it researched the competition and predation relationship on the Virtual Enterprise Clusters and used an example to authenticate that the number of corporate population was shocked around a central point and could only form a group of mutually disjoint closed curves. Lastly, some measures were taken to improve the Synergetic Evolution between the Enterprises in Network Society Community.
Keywords :
enterprise resource planning; societies; Lotka-Volterra model; network society community; synergetic evolution research; traditional organization; virtual enterprise clusters; Computer networks; Contracts; Disaster management; Educational institutions; Electronic mail; Government; IP networks; Internet; Symbiosis; Virtual enterprises; Lotka-Volterra; Network Society Community; Synergetic Evolution; Virtual Enterprise Clusters;
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
DOI :
10.1109/ICLSIM.2010.5461139