International Journal of Information Science and Management (IJISM)
Not a member yet
312 research outputs found
Sort by
Dimensions of the Scientific Collaborations of the Researchers Affiliated with Shiraz University of Medical Sciences
Full text linkResearchers at medical universities are highly active in scientific collaborations at the national, regional, and international levels. Iranian Medical researchers pay diligent attention to scientific collaborations at all levels. The present study aimed to investigate various dimensions of scientific collaborations of the researchers at Shiraz University of Medical Sciences (SUMS). The dimensions include the patterns and levels of national and international collaborations, interdisciplinary interactions, the relationship between geographical distance and scientific collaboration, and the interdisciplinarity pattern of international collaborations. The study adopted a descriptive-analytical method. The data were collected using scientometric measures. The research population consisted of 4499 journal articles in Web of Science (WoS) authored by SUMS researchers during 2014-2018. The VOSviewer was applied to analyze the data and visualize the networks. The results revealed that national collaboration was the dominant pattern. The results showed a desirable ratio of scientific collaborations to all publications (52%). The authors mostly tended to collaborate with American researchers. The majority of interdisciplinary collaborations were observed in the microbiology field. The results suggested that geographical distance did not affect scientific collaborations at the national and international levels (P>0.05). At the international level, SUMS researchers had the highest collaboration with the University of Manitoba and Tehran University at the national level. The results suggested that research policymakers at SUMS should prioritize research policies toward scientific collaborations at all levels and fields to share and synergize knowledge.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.3.
A Qualitative Study of the Process of Knowledge Utilization in the Social Sciences
Full text linkThe purpose of this research was to propose a model of knowledge utilization in Social Sciences based on the analysis of the views of Iranian academics. This research was conducted based on a qualitative approach using grounded theory. The structured interview method was used to obtain the views of the experts. The research population consisted of academic members of Social Sciences in Iranian universities. Due to extensive statistical population, the sequential theoretical sampling was employed to select 25 academics having the highest number of both publications and citations (h-index) as the interviewees. So as to ensure the validity and reliability of this research, the evaluative criteria proposed by Lincoln and Guba were adopted. Moreover, to analyze the collected data and reach a theory, Theoretical Coding was applied. After coding, classifying and analyzing data, the research findings led to a model derived from the ideas of Social Sciences experts in four areas as Knowledge Production, Knowledge Transfer, Knowledge Sharing, and Knowledge Utilization. According to the results achieved from analyzing the ideas of Social Sciences experts, knowledge utilization was determined as the central core of the model.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.8.6
Developing a Model of Return on Investment in Knowledge Management
Full text linkThe importance of knowledge management as a competitive advantage is evident to everyone, and it is considered one of the critical factors of successful organizations. The capitalist view of knowledge management has led to the measurement of the return on investment resulting from it, and the return on investment has been recognized as a financial indicator for measuring knowledge management. What are the main components of knowledge management? Have components the same coefficients? The impact of the components is different and has different values. In order to achieve this importance, the present study was conducted to develop a return on investment model in knowledge management. This Practical research is mixed method, and in the form of exploratory schema in three stages, qualitative (using grounded theory and the use of interview tools), quantitative (using a descriptive method, a survey using questionnaire tool), quantitative (using a descriptive method, a survey using questionnaire tool) has been done. Each method is analyzed using, respectively, MAX QDA and SPSS software. The findings of the first stage of the study include identifying the benefit and costs of knowledge management. Then, the components validity is obtained, and then in the third stage, a coefficient is assigned to each of them. Identifying costs and benefit Components is a first stage achievement. Experts measured the validity of each component to identify components accurately. Furthermore, finally, in the third stage, each of these components was assigned a coefficient. The development of a new formula, taking into account each of these coefficients, is considered research innovation.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.9.
Sociological Explanation of the Relationship between Gender and Reading among Ahvaz Citizens
Full text linkThis study aimed to investigate the effect of gender on the amount and type of reading. This study was descriptive. The research population consisted of people over 15 years of age in Ahvaz city. A multistage random sampling technique was used, and the data were collected using a questionnaire. The independent t-test and contingency table were used to analyze the data. The results indicated that gender could affect reading, and women had more reading time than men. Also, there were differences in reading interests based on gender. Women were more likely than men to read popular books. Still, men were more elitist and were more likely to read non-fiction books than popular works. Men were more likely to read intellectual and cultural magazines, while women tended to read more popular ones. Besides, women and men had different reading interests in different sections of the newspapers. The deep familiarity of readers with discovering the level and type of reading and defining a developmental plan for reading can provide a valuable guide to policy-making for promoting reading by trusted institutions.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.5.
Using a Question Answering System to Enhance Knowledge and Improve the Exchange of Information among Physicians
Full text linkDue to limited time, physicians often find it challenging to find the exact answers to their questions among search engine results; however, question and answer (Q&A) systems can facilitate more rapidly identify accurate solutions. This study aims to develop and evaluate a Q&A system for physicians at Tabriz University of Medical Sciences. Four clinical and informatics experts and the two health information managers agreed on 19 features and themes throughout two focus group meetings. Subsequently, a system was developed on a MySQL database using the PHP web development language and then uploaded to the web. Finally, the system was opened up to 40 users and, over three months, evaluated using a community evaluation questionnaire and the six-dimension Users’ Experience Questionnaire. The focus group results in determining the features of the Q&A system consisted of 19 requirements. The average attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty were equal to 1.76, 1.625, 1.9, 1.425, 1.475, and 1.375, respectively. The Q&A system improved the tasks such as share of knowledge, transfer of information, social partnership, and cooperation among users. The physicians were able to obtain the information they required through contact with their co-practitioners over the system.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.14.
Developing a Prediction Model for Author Collaboration in Bioinformatics Research Using Graph Mining Techniques and Big Data Applications
Full text linkNowadays, scientific collaboration has dramatically increased due to web-based technologies, advanced communication systems, and information and scientific databases. The present study aims to provide a predictive model for author collaborations in bioinformatics research output using graph mining techniques and big data applications. The study is applied-developmental research adopting a mixed-method approach, i.e., a mix of quantitative and qualitative measures. The research population consisted of all bioinformatics research documents indexed in PubMed (n=699160). The correlations of bioinformatics articles were examined in terms of weight and strength based on article sections including title, abstract, keywords, journal title, and author affiliation using graph mining techniques and big data applications. Eventually, the prediction model of author collaboration in bioinformatics research was developed using the abovementioned tools and expert-assigned weights. The calculations and data analysis were carried out using Expert Choice, Excel, Spark, and Scala, and Python programming languages in a big data server. Accordingly, the research was conducted in three phases: 1) identifying and weighting the factors contributing to authors’ similarity measurement; 2) implementing co-authorship prediction model; and 3) integrating the first and second phases (i.e., integrating the weights obtained in the previous phases). The results showed that journal title, citation, article title, author affiliation, keywords, and abstract scored 0.374, 0.374, 0.091, 0.075, 0.055, and 0.031. Moreover, the journal title achieved the highest score in the model for the co-author recommender system. As the data in bibliometric information networks is static, it was proved remarkably effective to use content-based features for similarity measures. So that the recommender system can offer the most suitable collaboration suggestions. It is expected that the model works efficiently in other databases and provides suitable recommendations for author collaborations in other subject areas. By integrating expert opinion and systemic weights, the model can help alleviate the current information overload and facilitate collaborator lookup by authors.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.1.
Usage, Utilization, Usefulness (U3 Model) and Challenges Faced in Social Networking Sites by Academicians
Full text linkThe study aims to determine if academicians from professional colleges use SNS to determine an association between demographic variables and factors. Variables and factors such as the purpose of SNS use, benefits of using SNS, improvement in factors of academic performance, challenges faced by academicians, and benefits of SNS in research work. The research method has used a survey with a questionnaire. The questionnaires were distributed to the academicians in selected professional colleges in and around Pune city, and responses were collected. The study observed that most faculties from professional colleges have accounts and are familiar with different SNS. It gives the ranking of SNS by Garrett’s Ranking Technique as per the personal and academic use of SNS by academicians. Academicians get various benefits from using SNS, whereas they also face some challenges while using SNS. It is discussed with percentage analysis. Using ANOVA and PAIRED SAMPLE “t” TEST found a significant association between the Demographic variables and the factors under usage of Social Networking Sites. The factors especially considered towards satisfaction using Social Networking Sites by the academicians were analyzed using multiple regression analysis.https://dorl.net/dor/20.1001.1.20088302.2021.19.2.10.
Conceptual Network Evolution of Cybernetic area in Middle East Countries
Full text linkThe aim of the present study is to visualize the dynamics of conceptual clusters, hidden patterns and emerging knowledge of "cybernetics in Middle Eastern countries" subject area in a global scale based on the co-word analysis of scientific outcomes indexed in the Web of Science database. This research is an applied one, performed with the co-word analysis method and analytical approach. The population includes 2280 keywords from 705 records in the cybernetics subject area in Middle Eastern countries, published in 7 journals indexed in the Web of Science database until 2018. To have a coherence set of data and create the co-occurrence matrix, RavarPreMap software applied. Then, using SPSS 16 and VOSViewer, the subjects were clustered and mapped. Specifications of co-word networks such as centrality and density illustrated using UCInet software in the form of a strategic diagram. Thereby, the situation and evolutionary branches of the cybernetics subject area revealed in Middle Eastern countries. The trend of scientific productions in cybernetics in Middle Eastern counties is incremental. Computer science, with 444 records, is the core subject in the mentioned studies. Researchers’ intellectual structures are identifiable in 12 clusters. The most significant cluster is the twelfth one, named master data mining algorithms and including 20 keywords. The distribution of clusters in the strategic diagram shows that Clusters 1, 2, and 4 are core issues in the subject area.Furthermore, they are mature and coherent, being studied at the core of the research area, having a core and developable role. The co-word analysis is a proper and powerful method in discovering and visualizing science and knowledge, tracking sciences, studying the trend of conceptual dynamicity, identifying and analyzing researchable fields in the subject area of cybernetics. This strategic approach can drastically help research planners and policy-makers as well as governmental authoritie
Effective Factors on Knowledge Commercialization in Payam-e-Noor University
Full text linkCommercialization of research results refers to a set of efforts aimed at raising capital and increasing the relationship between the academic and research sector and economic and social sector. The present study intends to identify and rank the factors affecting the commercialization process of research results at Payam-e-Noor University in order to determine the extent of influence of the identified factors. Therefore, this is an applied research in terms of purpose, which studies the factors affecting the process of knowledge commercialization in previous studies, using the confirmatory factor analysis approach. Using fuzzy hierarchical analysis, it was determined that legal, economic, manpower, cultural, structural and political, and communicational and information-related barriers are the first to sixth barriers to the knowledge commercialization in Payam-e-Noor University. Using fuzzy DEMATEL technique, the effectiveness and affectability of factors involved in the process of knowledge commercialization were identified. Accordingly, weak legal framework for supporting idea people at the university, inefficiency and ineffectiveness of the rules and regulations for commercialization, lack of regulation for the apportionment of financial gain from commercialization among scholars, lack of skilled and expert human resources in the universities, lack of facilities and financial resources for research commercialization, and lack of mutual recognition between university and industry had the most affectability. In other words, these are the dependent/outcome variables of the model. On the other hand, inadequate knowledge of the faculty members, poor fund management in the university, weakness of universities in wealth creation, absence of university entrepreneurial missions, the absence of up-to-date and effective idea banks and databases in the universities, and lack of effective communication between students and industry sector’s activists had the most effectiveness. In other words, these variables are the independent/causal variables of the model
Bibliometric Analysis of Worldwide Coronavirus Research based on Web of Science between 1970 and February 2020
Full text linkResearchers worldwide are striving hard to find a solution for the coronavirus pandemic and reduce the fatalities from this severe outbreak. The purpose of this article is to evaluate and visualize the published documents about coronavirus research, based on extracted data from Web of Science (WoS) citation database. The study used a bibliometric method and social network analysis. Data were collected using the WoS database on February 23, 2020, with 13252 records being retrieved and used as the study sample. Descriptive statistics were used in the bibliometric method and network analysis. Text Statistics Analyzer and ISI.exe were used to compute the number of authors per document. VOSviewer and UCINET were used respectively for visualization and for measuring the centrality and the density of networks. Study findings indicate the top actors of the scientific society (authors, institutions, countries) that had the most publication on coronavirus. Similarly, the top keywords used by authors were identified. Also, the density and centrality measures of co-authorship networks (degree, closeness, betweenness) for the top 10 authors, institutions, countries, and keywords were identified. The Journal of Virology had the highest number of published papers on coronavirus research. The study revealed that the leading researchers and institutions were mostly from the United States of America, England, China, Germany, Netherlands, France, Canada, Japan, South Korea, and Saudi Arabia