Network e-Volution

Modern society is a network society permeated by information technology (IT). As a result of innovations in IT, enormous amounts of information can be communicated to a larger number of recipients faster than ever before. The evolution of networks is heavily influenced by the extensive use of IT, wh...

Authors: Kirchner, Alexander
Labusch, Nils
Cordoba, Adriana Lopez
Sartor, Sebastian
Tumbas, Sanja
Villalonga, Enrique
Wiethoff, Sebastian
Further contributors: Becker, Jörg (Editor)
Beverungen, Daniel Frederik (Editor)
Delfmann, Patrick (Editor)
Räckers, Michael (Editor)
Division/Institute:FB 04: Wirtschaftswissenschaftliche Fakultät
European Research Center for Information Systems (ERCIS)
Document types:Working paper
Media types:Text
Publication date:2011
Date of publication on miami:29.08.2012
Modification date:05.11.2014
Series:Working Papers / ERCIS - European Research Center for Information Systems, Bd. 11
Edition statement:[Electronic ed.]
Subjects:Network Uncertainty; Network Evolution; Communication and Trust; Governance; Processes; Information Technology; Network Structure; Network Dynamics; Business Networks; Administration Networks; Social Networks
DDC Subject:004: Datenverarbeitung; Informatik
330: Wirtschaft
License:InC 1.0
Language:English
Format:PDF document
URN:urn:nbn:de:hbz:6-39359446879
Permalink:http://nbn-resolving.de/urn:nbn:de:hbz:6-39359446879
Digital documents:ercis_wp_no_11.pdf

Modern society is a network society permeated by information technology (IT). As a result of innovations in IT, enormous amounts of information can be communicated to a larger number of recipients faster than ever before. The evolution of networks is heavily influenced by the extensive use of IT, which has enabled co-evolving advanced quantitative and qualitative forms of networking. Although several networks have been formed with the aim to reduce or deal with uncertainty through faster and broader access to information, it is in fact IT that has created new kinds of uncertainty. For instance, although digital information integration in supply chains has made production planning more robust, it has at the same time intensified mutual dependencies, thereby actually increasing the level of uncertainty. The aim of this working paper is to investigate the aspects of evolving networks and uncertainty in networks at the cutting edges of different types of networks and from the perspective of different layers defining these networks.