Afsaneh Bazrafshan; Ali Biranvand; Ali Shojaeifard
Abstract
Purpose: The purpose of this study is to examine whether PlumX Altmetric scores can predict the Scopus citation counts for the field of Particle Physics. Also, to examine the relationship between the number of citations received by particle physics highly cited documents in Scopus and their Altmetric ...
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Purpose: The purpose of this study is to examine whether PlumX Altmetric scores can predict the Scopus citation counts for the field of Particle Physics. Also, to examine the relationship between the number of citations received by particle physics highly cited documents in Scopus and their Altmetric scores in PlumX. The sample consists of 103 highly cited documents in Particle Physics indexed during 2000-2019 in Scopus. In order to examine the relationship between Scopus citation counts and PlumX Altmetric scores, Spearman’s correlation test and multiple regression analysis used. The result of the Spearman’s correlation analysis shows a strong relationship between the number of PlumX citations and Scopus citations. Furthermore, PlumX Captures and PlumX Mentions have a significant relationship with Scopus citation counts, but there is no relationship between PlumX Usage and PlumX Social Media. The results of regression analysis show that PlumX Citations, Captures, Usage, Mentions, and Social Media, respectively predict 62, 60, 55, and 47 percent of Scopus citation counts. Based on these results, one can conclude that PlumX Altmetric scores can predict the number of Scopus citations, and an increase in activity in PlumX lays the ground for receiving more citations by documents in Scopus.
Knowledge Management
Ali Biranvand; Mohammad Ebrahim Samie; Ali Akbar Aghajani Afrouzi; SeyedAli Ghoreyshian
Abstract
The current research is practical in terms of its purpose, which has investigated the effect of organizational memory on organizational agility using a descriptive-survey method. In this research, the mediating role of counter-knowledge and knowledge application variables was investigated. In order to ...
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The current research is practical in terms of its purpose, which has investigated the effect of organizational memory on organizational agility using a descriptive-survey method. In this research, the mediating role of counter-knowledge and knowledge application variables was investigated. In order to analyze the data, the partial least squares method was used in Smart PLS software. The statistical population of the research included employees working in the Alborz Science and Technology Park province (growth centers and technology units) in 2024. The total number of these people was 178. The sample size was calculated with the help of Cochran's formula, 122 people. In order to collect primary data, the questionnaire of Cagarra-Navarro and Martello-Landroguez (2020) was used. This combined questionnaire measured the variable of organizational memory from the questionnaire of Chu, Cheng, Cheng, and Tsai (2007), measured the variable of organizational agility from the questionnaire of Lu and Ramamurthy(2011), to measure the variable Counter-knowledge questionnaire used by Chapman and Farfolja (2001) and Gold, Malhotra, and Segars (2001) questionnaire was used to measure knowledge application variable.
Knowledge Management
Ali Biranvand; Maryam Golshani; Faeze Delghandi
Abstract
IntroductionAuthors often publish scientific articles in reputable journals to achieve a good professional status and recognition. One of the methods of identifying reputable journals is to examine the ranking indicators that are used by publishing houses. This study aims to identify the impact of SJR, ...
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IntroductionAuthors often publish scientific articles in reputable journals to achieve a good professional status and recognition. One of the methods of identifying reputable journals is to examine the ranking indicators that are used by publishing houses. This study aims to identify the impact of SJR, SNIP, and Citescore on the number of citations received in Semantic Web publications. It examines the status of Semantic Web scientific productions in Scopus, the relationship between SJR, SNIP, and Citescore, and the number of citations received. The results of this study help authors identify factors that affect the increase in the number of citations received in Scopus, and examine the current status of Semantic Web publications for submitting their research results. Literature ReviewRahman et al. (2024) studied a range of bibliometric indicators including impact factor, special factor score, citation score, and H-index of 105 healthcare services and science journals from Scopus and Web of Science databases and acknowledged that there is a strong statistical correlation between JIF and Citescore as well as between JIF and SJR. While there is a moderate correlation between JIF and SNIP. Elmi, Mohammad and Bari (2024) while pointing out the impact of journal scientometric analyses on drawing the landscape of knowledge areas, believe that journals with Citescore, SNIP, SJR rankings are key platforms for publishing influential research and play a significant role in shaping the scientific path of journals and knowledge areas. MethodologyThe present study is a fundamental type that was conducted in a descriptive manner and with a scientometric approach. The statistical population of this study includes 42,270 documents produced in the field of semantic web that were published by journals indexed in the Scopus database in the period 1960-2021. After an initial review, 10 titles of high-production journals in the field of semantic web that published 15,182 titles of scientific productions in this field were selected as a statistical sample. In order to examine the relationships between the research variables, Pearson correlation coefficient test and multiple linear regression were used with the help of Excel and SPSS software. ResultsRetrieving information related to scientific productions in the field of semantic web from the Scopus database showed that in the period 1960-2021, 42,270 records were indexed in this database. 29,189 titles (69%) were conference papers. This number of scientific productions has been cited 267,384 times so far. The trend of scientific productions in the field of semantic web has been almost uniform from 1970 (the time of indexing the first record) to 2000. The number of citations received in this period was 267,384. The largest number of productions (3,304 titles) was in 2010. The largest number of citations received (13,446 citations) was related to the article titled "Fully convolutional networks for semantic segmentation" in 2015. Lecture Notes in Computer Science (LNCS) published 471,217 articles during the study period, of which 7,418 were in the semantic web field. "Lecture Notes in Computer Science" has the highest number of publications (7,418 records), equivalent to 17.5% of all publications in the semantic web field. This source is also ranked first in terms of the total number of publications from different fields. In terms of Site Score, "Journal Of Web Semantics" has the highest score (1.9). This score is the average of the Site Score scores of the last 10 years of this journal. Given that the Citescore is the result of dividing the number of citations by the number of documents published in a three-year period, in this respect the journal has the best performance compared to other journals studied. Among the 10 selected journals, the Journal of Web Semantics has the highest Site Score (9.1) and the highest SJR score (8.1). The highest SNIP score (12.6) is assigned to the Journal of Web Semantics. According to (r=.860; p=.812), there is no correlation between the number of citations and the SNIP index. There is also no significant relationship between the number of citations and SJR (r=.580; p=.874) and the number of citations and Site Score (r=.480; p=.896). The results of multiple regression showed that none of the three Site Score, SNIP, and SJR indices can predict the number of citations received in the Scopus database. DiscussionExamining the relationship between Citescore, SJR, and SNIP indicators shows that there are positive and significant relationships between these indicators in the scientific productions of the semantic web. These indicators are affected by the number of citations and there is a very high correlation between them. However, there is no significant relationship between these indicators and the total number of citations received in the semantic web in the publications under study. The significance level obtained from the variance test between the indicators under study and the number of citations received in the Scopus database indicates the absence of a significant relationship in this case. On the other hand, the regression coefficients and the significance level obtained from running the model also indicate the inability to predict the number of citations received through the desired indicators. In other words, none of the Citescore, SJR, and SNIP indicators are able to predict the number of citations received in the scientific productions of the semantic web. ConclusionThe lack of a significant relationship between Citescore, SNIP, and SJR indices and the number of citations received by high-producing Semantic Web publications indicates the insignificant share of the number of citations received from Semantic Web publications compared to the total number of citations received by these publications.
Knowledge Management
Hassan Khodravan; Ali Biranvand; Armin Rajabzadeh; Mehrnoosh Darabi
Abstract
IntroductionPersonal knowledge management (PKM) discusses self-efficacy and making people more valuable to the organization, thus creating more value for each employee. Public libraries are one of the service organizations in the society. The application of knowledge management strategies in a knowledge-based ...
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IntroductionPersonal knowledge management (PKM) discusses self-efficacy and making people more valuable to the organization, thus creating more value for each employee. Public libraries are one of the service organizations in the society. The application of knowledge management strategies in a knowledge-based institution such as a public library, which is engaged in the supply of knowledge, has a double importance. The use of knowledge management (KM) helps knowledge-based organizations such as libraries to turn the knowledge in organizations into a permanent resource. Investigating the PKM of public library employees can lead to more productivity of employees. Accordingly, the present study investigates the relationship between the PKM of public library librarians and the productivity of human resources in these libraries.Literature ReviewA review of the conducted research shows that one of the influencing factors on employee productivity is PKM. An operational definition of participation in PKM is that PKM is an individual's perception of knowledge that involves the degree of participation in the organization's knowledge management (OKM) activities (Tseng and Fan, 2011). PKM ensures that people acquire, create, and share knowledge, and by influencing the KM architecture, it improves decision-making, efficiency, and productivity. (Butt; Nawa; Hussain; Sousa; Wang; Sumbal, Muhammad Saleem & Shujahat, 2019; Shujahat; Razzaq; Wang; & Durst, 2019). There is a positive relationship between KM and employee productivity. In other words, productivity is a direct result of KM (Shoujahat et al., 2019). Hence, PKM participation, as an aspect or a micro-component of KM, should affect productivity (But et al., 2019). MethodologyThe type of research is descriptive-analytical based on the basic purpose and method of data collection. The statistical population of this study includes all employees of public libraries in Khuzestan province in 2020 (378 people) who were selected as a statistical sample of the research by simple random sampling method and with the help of Cochran's table. To collect data, Mahmoudi and Bagheri’s questionnaire (2013) in the field of personal knowledge management and Hershey and Goldsmith’s questionnaire (1980) in the field of human resource productivity have been used. In this study, a one-sample t-test to determine the significance of differences between variables, a Pearson correlation test to examine the presence or absence of a relationship between two variables, and a two-sample independent t-test and variance test in SPSS software 24 have been used.ResultsConsidering the effect of KM on organizational performance, librarians manage their learning and increase information literacy and continuous learning in order to maintain their position and the organization. The results of this research showed that the librarians of the public libraries of Khuzestan province in all aspects of PKM (self-learning evaluation, self-learning management, information literacy, Exploration skills, Network of knowledge assistants, knowledge awareness, perception skills, creative skills, collaborative skills, interest variation and personal knowledge management) are at an optimal level. The feeling of wanting to grow and progress in the workplace leads employees to self-learning, self-evaluation and adaptation to the work environment. In this regard, the results obtained regarding the variable of productivity of human resources of librarians show that the dimensions of ability, feedback, credibility, and adaptability, related to the variable of productivity of human resources are at a favorable level. Other dimensions such as understanding and recognition, organizational support, and motivation are not at a favorable level. Investigating the relationship between human resource productivity and PKM of public library librarians in Khuzestan province, the results show that the dimensions of ability, understanding and recognition, and adaptability have a positive and significant relationship with PKM. However, other dimensions such as organizational support, motivation, feedback, and credit are not related to PKM. Also, there is a positive and significant relationship between the dimensions of PKM and human resource productivity, only in the dimensions of skill and exploration, knowledge awareness, and collaborative skill. In other dimensions, there is no relationship between these two variables.DiscussionBased on the results of this research, PKM plays a significant role in the productivity of human resources in public libraries. Considering the effect of KM on the productivity of the organizational force, librarians should try to manage their learning and increase information literacy and continuous learning in order to maintain their position and the organization. The present research was conducted for the first time among the employees of public libraries in Khuzestan province.
Ali Biranvand; Mohammad Ebrahim Samie; Sareh Rahmaniyan
Abstract
This study investigates the relationship between the measurements obtained from the social networks of ResearchGate and Academia with the scientometric indicators of Scopus and Web of Science databases. The present study is of a fundamental type that has been done in a descriptive manner and with an ...
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This study investigates the relationship between the measurements obtained from the social networks of ResearchGate and Academia with the scientometric indicators of Scopus and Web of Science databases. The present study is of a fundamental type that has been done in a descriptive manner and with an algorithmic approach. The statistical population of the study includes the most prolific authors in the field of Iranian Business Management who have uploaded their documents in the Scopus database between 2000-2019. 160 of these authors, who had the most documents indexed in Scopus, respectively, have been introduced as a statistical sample of the research. In order to investigate the relationship between the metrics obtained by the authors' activities in the research networks of ResearchGate and Academia with the scientometric indicators of Scopus and Web of Science databases, the statistical tests of correlation with the help of Excel and SPSS has been used. The presence and activity of Business Management writers on the ResearchGate social network is much higher than that of the academia. The relationship between the number of records, citations, H-index and co-authorship in Scopus with the metrics of citation number, citations, index, readers, RJ score and followers in ResearchGate is positive and significant. However, there is no significant relationship between Scopus scientometrics and the criteria of followers, viewers, and co-authors in the academia.
