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Publikācija: Application of Enterprise Modeling and Knowledge Management for Educational Information Technology in SMEs

Publication Type Scientific article indexed in ERIH database, in INT1 or INT2 category journals
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Application of Enterprise Modeling and Knowledge Management for Educational Information Technology in SMEs
Field of research 1. Natural sciences
Sub-field of research 1.2 Computer and information sciences
Authors Ginta Majore
Ivars Majors
Keywords Enterprise Modeling, Information Technology, Digital Ecosystem
Abstract Nowadays, an enterprise has to be flexible and adaptable to new market and rapidly changing global economic situations. Moreover, the global economic crisis has added an alarming dimension to this scenario and made the discovery of new solutions extremely urgent. Small and medium enterprises (SMEs) must become learning organizations, so that the whole company can learn while it works and be able to adapt quickly to market changes and other environmental conditions. Ecosystem approach more precisely matches SMEs needs to become and remain competitive in turbulent business environment. Second key issue in new economical situation is effective knowledge management. The knowledge economy demands that organizations integrate their activities, processes and systems to exploit their resources more efficiently and subsequently gain economies of scale and access to and from new market. . The aim of this paper is to demonstrate application of enterprise modeling (EM) and knowledge management for educational information technology (IT) in SMEs. Reflected approach provide solution for integration of learning IT in appropriate business situations.
Reference Majore, G., Majors, I. Application of Enterprise Modeling and Knowledge Management for Educational Information Technology in SMEs. The International Journal of Knowledge, Culture and Change Management, 2010, Vol.10, Iss.1, pp.565-572. ISSN 1447-9524. e-ISSN 1447-9575.
ID 8273