In a scholarly convention, ESP has bilaterally focused on “academic” and “occupational” arenas leaving the symbiosis between the two almost untouched. The present study, thus, aims to weigh the concordance between what is taught in universities as EAP courses for B.A. students in Business and Economics and what English skills and abilities are, actually, required from them on the job. A...

Purpose: This article purpose is exposing role of expert in validation information collection instruments for business purposes. Theoretical framework: The work based on the multidisciplinary, interdisciplinary, transdisciplinary and pluridisciplinary vision, as relevant aspects expert's profile. Design/Methodology/Approach: coherence, relevance, independence impact each items that make up inst...

This study aims to examine information technology students' perceptions toward the use of virtual reality technology, their behavioral intention such for educational purposes, and relationship between purposes. The used a descriptive cross-sectional survey research design. data collection tool was developed based on second Unified Theory Acceptance Use Technology UTAUT2 framework. Data were col...

In spite of its robust syntax, semantic cohesion, and less ambiguity, lemma level analysis and generation does not yet focused in Arabic NLP literatures. In the current research, we propose the first non-statistical accurate Arabic lemmatizer algorithm that is suitable for information retrieval (IR) systems. The proposed lemmatizer makes use of different Arabic language knowledge resources to g...

The paper studies the determinants of information sharing between Swedish tax authorities and 14 EU tax authorities for value-added tax (VAT) purposes. It is shown that trade-related variables (such as the partner country’s net trade position and population size), reciprocity, and legal arrangements are significant determinants of Sweden’s trade in tax information. Countries that are net export...

The paper presents a new method of systematically discovering relevant contextual information from the user-generated reviews and, therefore, converting the latent contextual information into the explicit representational view in order to provide better recommendations to the users when the reviews complement traditional ratings used in recommender systems. In particular, we classify all the us...