National Library and Archives of Islamic Republic of Iran Librarianship and Information Organization Studies 2783-4646 30 3 2019 10 23 Factors Affecting the Use of Query Suggestion Systems: Proposing a Model based on Interpretive Structural Modeling Approach Factors Affecting the Use of Query Suggestion Systems: Proposing a Model based on Interpretive Structural Modeling Approach 94 116 2328 10.30484/nastinfo.2019.2328 FA M. Azargoon PhD Candidate, Knowledge & Information Science, Isfahan University A. Shabani Professor, Knolwdge & Information Science, Isfahan University 0000-0003-0466-6240 M. Cheshme Sohrabi Associate Professor, Knolwdge & Information Science, Isfahan University 0000-0003-1856-4210 A. Asemi Associate Professor, Knowledge & Information Science, Isfahan University 000-0003-1667-4408 Journal Article 2019 03 02 <strong>Purpose: </strong>To identify factors affecting the use of query suggestions in information search tools and proposing a model. <br /><strong>Methodology:</strong> The factors were identified through the review of the literature, based on which a self-interaction questionnaire was designed and circulated among 10 experts to determine relationships between the factors. <br /><strong>Findings:</strong> Among the 13 factors identified through the review of the literature, demographic characteristics, search experience, domain knowledge and expertise, linguistic features, user's query, creativity, psychological and cognitional, the source of creation of query suggestions, contextual factors, semantic features of query suggestions, and structural characteristics of the query suggestions could increase the ease of use and improve the userperformance. The model presented “the source of generation of the query suggestion" was identified as the most influential factor. <br /><strong>Conclusion:</strong> Findings of this study could use when examining the performance, as well as in the design of query suggestion systems. <strong>Purpose: </strong>To identify factors affecting the use of query suggestions in information search tools and proposing a model. <br /><strong>Methodology:</strong> The factors were identified through the review of the literature, based on which a self-interaction questionnaire was designed and circulated among 10 experts to determine relationships between the factors. <br /><strong>Findings:</strong> Among the 13 factors identified through the review of the literature, demographic characteristics, search experience, domain knowledge and expertise, linguistic features, user's query, creativity, psychological and cognitional, the source of creation of query suggestions, contextual factors, semantic features of query suggestions, and structural characteristics of the query suggestions could increase the ease of use and improve the userperformance. The model presented “the source of generation of the query suggestion" was identified as the most influential factor. <br /><strong>Conclusion:</strong> Findings of this study could use when examining the performance, as well as in the design of query suggestion systems. https://nastinfo.nlai.ir/article_2328_d2b795a387e5aac356d9a8e40d055959.pdf