Title :
Knowledge-intensive service organizations as agents in a business ecosystem
Author_Institution :
Inst. of Bus. Inf. Manage., Tampere Univ. of Technol., Finland
Abstract :
This paper discusses a new approach to modeling organization populations containing knowledge-intensive service organizations. Knowledge-intensive services are a growing sector both in volume and in economic importance. In many aspects they are distinctive and do not fit to the traditional concepts explaining a business organization. Thus they benefit of new ways to interpret and study organizations and organization populations. This paper presents the concept of business ecosystem, and the agent-based modeling of it, as a possibility to understand the complex environment where knowledge-intensive service (KIS) organizations operate. This paper covers the distinctive features of knowledge-intensive service organizations first and then explains how these features can be taken into account when modeling a population of organizations containing KIS organizations as agents. This research is based on literature review and thus the conclusions are on the conceptual level.
Keywords :
commerce; corporate modelling; knowledge management; multi-agent systems; organisational aspects; agent-based modeling; business ecosystem; knowledge-intensive service organizations; organization population modeling; Arm; Artificial intelligence; Business; Ecosystems; Environmental economics; Information management; Manufacturing; Organizational aspects; Reflection; Technological innovation;
Conference_Titel :
Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on
Print_ISBN :
0-7803-8971-9
DOI :
10.1109/ICSSSM.2005.1500123