Cross-language information seeking behaviour English Vs Arabic

Purpose – The purpose of this paper is to report the results and the methods of a study which applied grounded theory to the information-seeking behaviour of social scientists when searching Arabic and English academic databases using both languages. Design/methodology/approach – The research applied the grounded theory approach using search experiments and semi-structured interviews. Think-aloud protocol during the experiment was used to capture the data from the subjects to allow a detailed analysis for the experiment. The semi-structured interviews followed each experiment and were analysed using the Strauss and Corbin (1990) version of the grounded theory, as were the think-aloud protocols. Findings – The results of the think-aloud protocols and the semi-structured interviews suggest that the information needs of the subjects varied depending on the language used. In addition, it was discovered that social scientists followed more tactics in searching the Arabic database for the same tasks searched in English during the experiment. This allowed more search strategies and search tactics to appear in seeking information in Arabic language. The study also proposed a model to account for the cross-language information-seeking behaviour. Research limitations/implications – This study identifies and compares the information-seeking behaviour of the social scientists in Jordanian universities in searching both Arabic and English academic databases. Therefore, the findings of this study cannot be generalized to other Arab countries, unless there was similar context. Originality/value – Few studies have investigated information-seeking behaviour using academic Arabic databases and proposed information-seeking behaviour models. No studies have compared information-seeking behaviour when using Arabic and English academic databases. The value of the current study arises by being the first study to identify and compare the information-seeking behaviour of social scientists by using grounded theory and proposing a cross-language information-seeking behaviour model. </jats:sec