International Journal of Information Science and Management (IJISM)
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Solutions for Social Media Harms: An Media ecological perspective
Full text linkThe present study aims to work out solutions for reducing Social Media(SM) harms based on the media ecological perspective. According to media ecology perspective, SM should be addressed at micro-, meso-, exo-, macro-, and chrono-levels. Drawing on meta-synthesis method, Magiran, SID, Noormags, ScienceDirect, Wiley, Springer, Ebscohost, and Sage databases were searched for the data using related keywords. Accordingly, a number of 129 articles were retrieved from the databases. Further analyses on the article titles, abstracts and full texts led to the exclusion of 47, 26, and 14 articles from the set, respectively. Eventually, 42 articles were selected and analyzed as the research sample. The eligibility criteria included peer-reviewed journal articles or full conference papers on social media harms or abuse, published between 2002 -2020, available in English and Persian. As other sources (e.g. dissertations) are not peer-reviewed, and we aimed to identify rigorous best practice literature, we excluded these. The results showed that solutions could be worked out by studying the why and how to use and to participate along with the harms simultaneously. The why and how to use as well as the harms may be determined at micro-, meso-, exo-, macro-, and chrono-levels so that solutions could be proposed at five levels including nurturing time management skills; promoting critical thinking; encouraging family, peer, and colleagues’ participation in creating recreational, sports and leisure contexts; teaching media literacy; passing binding and persuasive laws, then review the historical trend of technology adoption
Persian Semantic Role Labeling Based on Dependency Tree
Full text linkSemantic role labeling is the task of attaching semantic tags to the words according to the occurred event in the sentence. Persian semantic role labeling is a challenging task that most methods so far in this regard depend on a huge number of handcrafted features and are done on feature engineering to attain high performance. On the other hand, by considering the Free-Word-Order and Subject-Object-Verb-Order characteristics of Persian, the verbal predicate’s arguments are often distant and create long-range dependencies. The long-range dependencies can hardly be modeled by these methods. Our goal is to achieve a better performance only with minimal feature engineering and also to capture long-range dependencies in a sentence. To these ends, in this paper a deep model for semantic role labeling is developed with the help of dependency tree for Persian. In our proposed method, for each verbal predicate, the potential arguments are identified with the help of dependency relationships, and then the dependency path for each pair of predicate and its candidate argument is embedded using the information in the dependency trees. In the next step, we employed a bi-directional recurrent neural network with long short-term memory units to transform word features into semantic role scores. Experiments have been done on the first semantic role corpus in Persian language and the corpus provided by the authors. The achieved Macro-average F1-measure is 80.01 for the first corpus and 82.48 for the second one
A Cross Analysis of Impact University Ranking System
No full textFirst edition of University Impact Ranking (UIR) has been published, and although it’s still in a process of rapid evolution, the result is likely to substantially influence the long-term development of higher education systems across the world based on the United Nations’ Sustainable Development Goals (SDGs). This study aims to analyze and critique the principal ranking system prepared by Times Higher Education which assess universities against the SDGs. This study investigated the reliability of Times Higher Education University Impact Ranking (UIR) and attempted to identify its contribution and impact of participating universities on their societies. Taking an explanatory case study approach, this study used observation, document study, and experts’ reflection as data collection methods. The findings suggest that UIR does not contribute sufficiently to identification of universities that have a good impact on their societies to achieve SDGs
Users’ Expectation and Perception Gap Analysis of Telkom University Website with Modified WebQual 4.0 Method
Full text linkTelkom University as one of the universities in Indonesia that have used website media has never done in-depth research to find out whether the main website it manages still has a gap between expectations and perceptions from the perspective of its users. In previous studies, assessments of higher education websites were carried out using the slightly modified WebQual 4.0 instrument by omitting several indicators. However, it is not clear what the priority level of each indicator should be measured, based on the perception of their users. This study will measure the level of the gap between the users' expectations and perceptions of the Telkom University website, and what factors are prioritized to be improved. To collect the required data, researchers distributed questionnaires to 400 stakeholders of the Telkom University website. The collected data were analyzed using the Gap Analysis and Importance-Performance Analysis methods. It can be seen that there are nine indicators on Telkom University's website that need improvement. From the results of this study, it can be concluded that there is still a gap between the expectations and perceptions of users, with several factors that must be corrected to improve the quality of the Telkom University website sequentially from the highest priority. This study contributes by developing the modified WebQual 4.0 instrument to assess the quality of the university website which uses five variables such as Usability, Information Quality, Service Interaction Quality, User Interface Quality, and Availability, and also provides an overview of the indicators that must be improved, indicators that must be maintained, indicators with low priority, and which indicators must be reduced in priority on the Telkom University website, Telkom University, Indonesi
A Study of the Subject of Public Libraries in Web of Science and Islamic World Science Citation Center
Full text linkThe purpose of this study was to investigate the subject of “public libraries” in the Clarivate Analytics Web of Science (WoS) and Islamic World Science Citation Center (ISC). The present study is a descriptive-analytical research adopting scientometrics approach in terms of data collection. The statistical population of the study consisted of 2976 documents indexed in the WoS during 1900-2017 as well as 232 documents indexed in the ISC during 1999-2017. To collect data, we refined the search to title as (TI=Public Library*) and limited it to the time span (PY=1900-2017) in WoS in order to avoid diversity in the retrieved documents. The same approach was followed to retrieve documents from ISC databases. Research findings showed that foreign researchers were interested in “information science and library”, “computer sciences”, and “architecture” in relation to public library studies. On the other hand, Iranian researchers focused on “public library studies”, “assessment”, and “staff studies including managers and librarians”. Considering the journals publishing research on public library issues, the findings showed that the American Library Journal (n=722) and the Iranian Research on Information Science and public libraries (n=134) published the largest number of articles on the subject at the global and local levels, respectively. USA, Canada, and England were the most productive countries in “public libraries” research area. Besides, University of Illinois and Islamic Azad University were the most active institutions publishing in this field at international and national levels with 62 and 57 documents, respectively. This study aimed to survey and compare research on public libraries in WoS and ISC. An examination of the subject area of public libraries revealed the trends of research fronts at the global level and in Iran and determines whether or not the topics of interest to world-class researchers are close to that of national researchers or if domestic researchers have addressed public library issues with an indigenous approach.
A Study of Iranian Scientific Productions on Patenting and its Comparison with those of Scientifically Advanced Countries
Full text linkThis scientometric research was conducted through correlation-analysis, and intended to assess the correlation between publications and patents both in developed countries and in Iran. The present study was performed using scientometric methodology and used USPTO for patent data and Scopus for publication data from 2015 to 2019. This study applied both parametric and non-parametric statistical analyses. Moreover, the Spearman Correlation analysis was used to determine the correlation between variables and types of variables. The data analysis was conducted using SPSS1 software. The relationship between these two variables was significant in each of the years under study. Different types of scientific documents, such as books, articles, and conference papers, were assessed. The Pearson Correlation analysis between these types of documents showed significance at 0.01 level in the articles with the correlation coefficient of 0.858, books with the correlation coefficient of 0.867, and conference papers with the correlation coefficient of 0.874, which was related to the extent of patenting. The subject areas related to social sciences and humanities, engineering and technical sciences, medical sciences, and biological sciences with the correlation coefficients of 0.866, 0.861, 0.843, and 0.834, respectively, at 0.01 level, revealed a significant relationship between the studied countries’ scientific output in these subject areas and the extent of patenting. The results of the present research showed that there was a positive relationship between the studied countries’ scientific output and their level of patenting. The countries that enjoy high levels of scientific output have more inventions. However, the results for Iran indicated that the growth in scientific output has had an insignificant effect on the country’s invention rate
A Distributed Clustering Approach for Heterogeneous Environments Using Fuzzy Rough Set Theory
Full text linkVast majority of data mining algorithms have been designed to work on centralized data, unfortunately however, almost all of nowadays data sets are distributed both geographically and conceptually. Due to privacy and computation cost, centralizing distributed data sets before analyzing them is undoubtedly impractical. In this paper, we present a framework for clustering distributed data which takes into account privacy and computation cost. To do that, we remove uncertain instances and just send the label of the other instances to the central location. To remove the uncertain instances, we develop a new instance weighting method based on fuzzy and rough set theory. The achieved results on well-known data verify effectiveness of the proposed method compared to previous works
A Systematic Review and a Synthesis Research on Market Orientation Studies
Full text linkDuring the last decades, market orientation has received a great deal of attention from marketing scholars. In recent years, there has been an increased focus on the relationship between market orientation and business performance. This study aims at enhancing the researchers’ knowledge of market orientation and performance through analysis of international scientific researches over the past thirty years. This study, as an inductive and explorative research, by using systematic review and synthesis research, considers the researches in the field of market orientation and performance. Articles indexed by the Web of Science during the years 1900-2019 and three other scientific databases (Science Direct, Emerald, and Springer) were thoroughly investigated. The VOS Viewer software was used to perform the analysis. In the present study, from the 324 articles published by various authors, based on the report of the Web of Science database, scientific articles published on the impact of market orientation on performance grew significantly in the year 2015, and the United States, China and the United Kingdom have had the highest numbers of research. By using an evaluative view of the research, a comprehensive model is presented, which can also be used as a framework for researchers and managers. This study considers the importance of market orientation in promoting performance as a momentous and valuable structure. In addition, the current study introduces a comprehensive overview of the literature, most important emerging research trends, and the research opportunities of the future
An Analysis of Laser Researches in Biomedicine Literature with a Scientometric Approach
Full text linkThe co-words analysis, as a scientometric method, helps us to discover the conceptual relationships between scientific texts and application of such relationships as a means to demonstrate important links that may be difficult to discover in other ways. This article is intended to use an analytical approach and identify research areas and to reveal the intellectual structure of knowledge in laser researches in biomedicine literature during 2009-2018. In this descriptive-analytical study with a scientometric approach, the data about laser were retrieved from PubMed in MEDINE format, including 7,682 articles with 18,227 keywords. By using co-word analysis, clustering methods, and strategic diagram; the data were analyzed with the help of SPSS 20, UcInet, and VOSviewer software. This study found that a steady growth could be seen on the laser research and 19.47% of publications are found in 5 journals. The most frequent keywords in the field of laser have been “lasers, solid-state”, “laser therapy”, “lasers, excimer”, etc. The results of cluster analysis shaped the concepts of laser in 7 clusters. The cluster “laser, excimer” was well developed and it plays an effective role. In contrast, “Photo chemotherapy”, “skin diseases with Emphasis on Lasers, gas”, “Laser Effects”, “Laser dentistry “and “Corneal Surgery, Laser” were relatively immature, which necessitates potential research space for future study. This research used co-word networks that indicate the important links between keywords of research areas. Disclosing the thorough context of issues which were encountered at the time of investigating, these networks will be used in locating knowledge gaps. Majority of research approaches include treatments or therapeutic aspects of laser in ophthalmology. The lack of some topics such as cardiology, oncology, optogenetics etc. shows that they have not been considered. Moreover, nevertheless of the practice site, application, or system in use, there is the goal of making and keeping a laser-safe environment for the staff, the user, and patient. These subjects have not been sufficiently considered
Vaccinating Users against the Hypodermic Needle Theory of Social Media: Libraries and Improving Media Literacy
Full text linkThe hypodermic needle theory is a prominent theory in social media that affects the understanding, attitudes, and behavior of individuals. In this viewpoint, media is a powerful and dangerous source because the user or audience is vulnerable against the effect of a certain message. In this study, we assess the relationship between this theory in the field of information technology with two person-centered approaches of constructionist or discourse analytic approach and the critical theory approach. Moreover, the libraries’ role in vaccinating users against this theory by increasing their knowledge is show