Purpose The purpose of this paper is to identify and design the axial coding pattern of the factors affecting the unplanned use behavior of users of the academic libraries and information centers. Design/methodology/approach The study as an applied research with a qualitative approach employed the grounded theory. The data collection tool was a deep and semi-structured interview. The interviews data were analyzed and coded during three stages of open, axial and selective coding using the MAXQDA 10 qualitative analysis software. The research population consisted of faculty members and experts in three areas of library and information science, management and psychology. Using the combined targeted sampling method (targeted and then the snowball), 12 subjects were selected as the sample size. Findings According to the research findings, the factors affecting the unplanned behavior of users in the use of academic libraries resources and services were identified as factors related to technology, environmental factors, information resources, information services, human resources, individual features, time position factor, cultural factors and social factors. Accordingly, the axial coding pattern of this type of behaviors was designed. Research limitations/implications The research limitations include the lack of theoretical basis related to the unplanned behavior issue in the field of library and information science and the lack of full familiarity of most of the experts in the field of library and information science with this topic. These factors lead to the necessity of explaining the subject under discussion. Originality/value The unplanned behavior of clients can be utilized to persuade users to use the information resources and library services so that the costs spent on their preparation and collection will be justifiable. The current research addressed this aspect of the unplanned information-seeking behavior.

Background: Scientometric studies are highly important, as they provide information about scientific products worldwide and empower scientists to compare research activities in different regions. The present study was conducted to map scientific research in diabetes mellitus using scientometric analysis in Middle Eastern countries during 2003- 2007. Methods: This was an analytical study with a scientometric approach. The study population was formed by the indexed scientific results of diabetes mellitus in the Web of Science database during 2007-2013. Data were analyzed using Excel, and HistCite to map the scientific texts. Results: A total of 6532 records were retrieved from 3926 institutions. These records belonged to 19 323 authors and were published in 1420 journals. The Journal of Diabetes Care, with 3928 citations, had the most global citation score (GCS). The Journal of Diabetes Research and Clinical Practice, with 185 citations, achieved the first degree of local citation score (LCS). Most of the scientific documents produced in the Middle East belonged to Turkey (31.91%) and Iran (21.7%). Seven scientific clusters based on LCS, and 5 based on GCS existed in the scientific mapping. Topical clusters based on global and local indices showed that the prevalence of diabetes, hyperglycemia, and pregnancy outcomes, diabetic risk factors, diabetic complications and their new treatments, and glucose monitoring in Type 1 diabetes were the fields being addressed in the main articles of the clusters. Conclusion: Scientific production and local and global citations in diabetes research in Iran (21.7% of diabetes research in the Middle East) have elevated the country to a prominent position. Top ranking countries in diabetic research were Turkey, Iran, and Israel, respectively. Moreover, this paper quantified the studies that were done on different aspects of diabetes. The results of this study can be used by health care providers to employ the best multidisciplinary approach for managing diabetes and its complications. Also, the results can help the policy-makers and governments to determine the priorities for budget allocation based on the burden of diseases. Establishing a regional diabetes network in the Middle East can be beneficial and lead to scientific collaboration and an increase in scientific production in this field.

PurposeThe present study aims to review the literature concerning Digital Libraries (DLs) and user interfaces in order to identify, determine, and suggest evaluation criteria for a DLs user interface. Accordingly, this study's objectives are threefold: explore which criteria exert a significant relationship with the DLs user interface; identify a set of criteria that appears to be useful for evaluating DLs user interface; and determine evaluation criteria that have more frequency and occurrence in the related texts reviewed.Design/methodology/approachTo do it, first, identifying related texts was necessary. Consequently, keywords such as “DLs user interface evaluation”,” DLs user interfaces”, “DLs evaluation”, “DLs usability”, “user interface evaluation”, “DLs research”, “web sites user interface evaluation”, “user interface standards”, and the like have been searched in the web as well as in some leading databases including Emerald, Proquest, SagePub, ScienceDirect, LISA, ERIC, ACM, and Springer. After identifying and accessing more than 100 evaluative works and some related articles, theoretical and empirical, nearly 50 sources were chosen for final examination.FindingsAfter reviewing related texts, three major categories are identified: user interface and DLs; DLs and usability; and other studies related to user interface; each one of three identified categories has its own subcategories. Additionally, 22 evaluation criteria for assessing DLs interface have been identified.Research limitations/implicationsThe review does not claim to be comprehensive.Practical implicationsHopefully, criteria such as feedback, ease of use, match between system and the real world, customization, user support, user workload, interaction, compatibility, visibility of system status, user experience, flexibility, and accessibility which have been less considered should be applied more in future, particularly user‐oriented, studies. Furthermore, it is expected that criteria mentioned here could help related bodies pay more attention to the evaluation of EISs, especially DLs interface.Originality/valueIt can be said that this study has contributed to the research into the evaluation of DL interface.

Purpose The purpose of this paper is to identify the role of emotional aspects in information retrieval of PhD students from the web. Design/methodology/approach From the methodological perspective, the present study is experimental and the type of study is practical. The study population is PhD students of various fields of science. The study sample consists of 50 students as selected by the stratified purposive sampling method. The information aggregation is performed by observing the records of user’s facial expressions, log file by Morae software, as well as pre-search and post-search questionnaire. The data analysis is performed by canonical correlation analysis. Findings The findings showed that there was a significant relationship between emotional expressions and searchers’ individual characteristics. Searchers satisfaction of results, frequency internet search, experience of search, interest in the search task and familiarity with similar searches were correlated with the increased happy emotion. The examination of user’s emotions during searching performance showed that users with happiness emotion dedicated much time in searching and viewing of search solutions. More internet addresses with more queries were used by happy participants; on the other hand, users with anger and disgust emotions had the lowest attempt in search performance to complete search process. Practical implications The results imply that the information retrieval systems in the web should identify emotional expressions in a set of perceiving signs in human interaction with computer, similarity, face emotional states, searching and information retrieval from the web. Originality/value The results explicit in the automatic identification of users’ emotional expressions can enter new dimensions into their moderator and information retrieval systems on the web and can pave the way of design of emotional information retrieval systems for the successful retrieval of users of the network.

Purpose – The main purpose of this research is to determine whether the performance of natural language (NL) search engines in retrieving exact answers to the NL queries differs from that of keyword searching search engines. Design/methodology/approach – A total of 40 natural language queries were posed to Google and three NL search engines: Ask.com, Hakia and Bing. The first results pages were compared in terms of retrieving exact answer documents and whether they were at the top of the retrieved results, and the precision of exact answer and relevant documents. Findings – Ask.com retrieved exact answer document descriptions at the top of the results list in 60 percent of searches, which was better than the other search engines, but the mean value of the number of exact answer top list documents for three NL search engines (20.67) was a little less than Google's (21). There was no significant difference between the precision for Google and three NL search engines in retrieving exact answer documents for NL queries. Practical implications – The results imply that all NL and keyword searching search engines studied in this research mostly employ similar techniques using keywords of the NL queries, which is far from semantic searching and understanding what the user wants in searching with NL queries. Originality/value – The results shed light into the claims of NL search engines regarding semantic searching of NL queries.