作者: Marta Indulska , Michael Rosemann , Jan C. Recker , Peter Green
DOI:
关键词: Identification (information) 、 Management science 、 Relevance (information retrieval) 、 Information system 、 Computer science 、 Rule-based machine translation 、 Conceptual model 、 Process (engineering) 、 Technology acceptance model 、 Empirical research
摘要: Studying the acceptance of Information Systems (IS) artifacts is classic to IS research discipline, as study conceptual modeling and associated phenomena. However, has not yet sufficiently combined these two lines inquiry explore user modeling. The paucity such motivated our on grammars. In this paper, fundamental models are synthesized in development a theoretical model designed measure relevance representational capabilities grammars explanation prediction intention by individuals continue use them. model-building process discussed, identification sub-constructs for derivation appropriate measurements empirical testing model. We conclude with an outlook how developed will be deployed test that seeks validate theorized constructs relationships.