Ontology-Based Knowledge Flow Model Design to Develop Global Virtual Team (GVT) Performance

Abstract

Global virtual teams (GVTs) have grown in popularity as a result of increased globalization and advancements in communication technologies. GVTs are playing an increasingly important role. Little is known about its strategy, dynamics, or efficacy in global organizations. Many researchers have focused on virtual teams but have not supported semantic search techniques and the ability of GVT knowledge to be understood by people and computers. This study was therefore aimed at building an ontology-based knowledge flow model for improving GVT performance. The Mapping Master domain-specific language (Mapping Master DSL) technology was used to build the ontology. It enables the creation and linking of concepts and individuals to the ontology using Excel sheets. The conceptual framework was built using the object role modeling (ORM) language. The SPARQL query was used to test and evaluate the proposed ontology..