Scientometrics
Ali Biranvand; Mohammad Ghanaatian; Hadi Alhaei
Abstract
Objective: This study, while identifying the scientometric indices of highly cited articles in the field of elementary particles in Clarivate Analytics and Dimensions databases, has investigated the relationship between these indices and the measures obtained from the presence of articles in citation ...
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Objective: This study, while identifying the scientometric indices of highly cited articles in the field of elementary particles in Clarivate Analytics and Dimensions databases, has investigated the relationship between these indices and the measures obtained from the presence of articles in citation databases and social networks.Methodology: The present study is of a fundamental type that has been done in a descriptive manner and with an alternative method. The statistical population of the study includes 5,702 articles in the field of elementary particles that were indexed in the Clarivate Analytics database between 2000-2019. The statistical sample of the research includes 102 articles that have been introduced by the Clarivate analytics Database as the most cited articles in the field of elementary particles. In order to investigate the relationship between Scientometric Indices of the articles studied in the databases and the measures obtained from the presence of these articles in Social Networks and Citation Databases, in addition to descriptive statistics tests, Pearson correlation test to examine the relationship between research variables has been used.Findings: There is a positive relationship between the articles viewed in Mendeley and the number of citations received through Dimensions and Clarivate Analytics. However, the Citation Databases of SiteLike and Conota do not have a significant relationship with the number of citations received by Dimensions and Clarivate Analytics. Publishing articles on Facebook, Wikipedia and has a positive and significant relationship with the number of citations received through Dimensions and Clarity Analytics. While there is no significant relationship between the publication of articles on Social Networks News, Blog, Twitter, Weibo Use, Patent, Facebook, Google+ User, Editor, Video Uploader and the number of citations to Dimensions and Clarivate Analytics.Conclusion: The connection between social networks and the Dimensions database is stronger than the analytical clarity database. According to the results, Mendelian use of citations to articles is more than other citation databases. Therefore, it is recommended to use Mendeleev to publish or follow information sources.
Scientometrics
Ali Biranvand; Hadi Alhaei; ALi Shojaeifard
Abstract
Goal: Considering the positive effects of scientific productions of scientific-citation databases on scientometric indicators of the works indexed on those databases, this research investigates the effects of altmetric scores provided by the Mendeley Scientific-Citation Network on the scientometric indicators ...
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Goal: Considering the positive effects of scientific productions of scientific-citation databases on scientometric indicators of the works indexed on those databases, this research investigates the effects of altmetric scores provided by the Mendeley Scientific-Citation Network on the scientometric indicators of Scopus and Google Scholar. Methods: The present research is a basic study with a quantitative approach that uses the citation method to investigate the effects of altmetric scores of the scientific productions of the semantic web domain derived from the Mendeley and altmetrics databases on the indicator of the number of citations received for these works on Scopus. The thematic domain of the present research involves scientific productions of Iranian authors in the semantic web domain, indexed from 1960 to 2021 on the Scopus database. The statistical population of this research consisted of 271 records at the time data were extracted from the Scopus database (10/02/2022). For the statistical analysis, correlation coefficient and stepwise multiple regression tests were used in addition to descriptive and inferential statistics. Software used included Excel and SPSS. This research first searched scientific productions of the semantic web domain on Scopus. Then, to meet the main goal of the research, i.e., evaluating the scientific productions of Iranian authors in the semantic web domain and investigating the effects of the activities of these authors on the Mendeley and Altmetric databases on the indicator of the numbers of citations received on the Scopus, the search process was limited to Iranian-affiliated scientific production on Scopus. In the next stage, altmetric scores related to these scientific productions were retrieved from the Mendeley and Altmetrics databases and then prepared for statistical tests. The retrieved works were case studied to increase the accuracy of relating the themes of the works under study. Findings: A survey of scientific productions of semantic web domain on Scopus revealed that the highest number of the works in this domain was registered in 2010, with the first indexed
Knowledge Management
somayeh fazeli; zohre cheraghi; Hadi Alhaei
Abstract
Introduction: Evaluating the maturity of knowledge management allows organizations to gain a clear understanding of their status in knowledge management indicators and plan for the next steps. Therefore, the present study was carried out in order to evaluate the organizational maturity of knowledge management ...
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Introduction: Evaluating the maturity of knowledge management allows organizations to gain a clear understanding of their status in knowledge management indicators and plan for the next steps. Therefore, the present study was carried out in order to evaluate the organizational maturity of knowledge management in the higher educational and research center of the water and electricity industry of Khuzestan.
Methodology: The research method is survey and applied. The data collection tool was the standard questionnaire of the Asian Productivity Organization, whose reliability value was 0.98. The sample size was 68 center personnel who were selected by census method. In order to analyze the data, SPSS version 23 software was used.
Findings: The research showed that the education and research center of Khuzestan water and electricity industry is at the second level of knowledge management maturity. Also, by performing the t-test, the research hypotheses were confirmed. In terms of average and Friedman ranking, the indicators of technology, process and knowledge process were ranked first to third, and the index of learning and innovation also got the lowest score among the indicators. Seventh-day assessment of knowledge management maturity. To measure the average of the seven criteria groups using the one-sample t-test, to check the normality of the data distribution using the Kolmogorov-Smirnov test, as well as to rank the criteria groups using the non-parametric Friedman test and to determine the level of maturity and calculate the total The scores of the seven criteria were used from the standard tables of the Asian Productivity Organization.
Conclusion: The investigated organization has passed the first stage of maturity of knowledge management and has understood the importance of establishing knowledge management. In this step, the managers, knowing the current situation, should try to fix the weak points and strengthen the strong points.
Keywords: knowledge management, maturity of knowledge management, educational and research center, water and electricity industry
University Libraries
marzieh yarizanganeh; Hadi Alhaei
Abstract
A Reflection on the Appropriacy of the Implementation of the DoDAF Information Architecture Framework as an Organizational Information Architecture for Universities: The Case for Shiraz University
Abstract
Background and Objectives: This study aims to investigate and the proposed framework of DODAF information ...
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A Reflection on the Appropriacy of the Implementation of the DoDAF Information Architecture Framework as an Organizational Information Architecture for Universities: The Case for Shiraz University
Abstract
Background and Objectives: This study aims to investigate and the proposed framework of DODAF information architecture by the managers and experts for the purpose of organizational information architecture of this university and to draw the attention of managers to organizational architecture in order to improve organizational excellence and enumerate the benefits of organizational architecture.
Methodology: The present study was carried out using a combination of two survey methods with experts from Shiraz University. To this end, data were gathered using the relevant documentaries and library studies to examine the forms and documents related to the processes of Shiraz University. In order to collect the data, face-to-face interviews with managers and experts of Shiraz University as well as a review of forms and documents related to the processes of Shiraz University were performed. To do this, interviews with the director and experts of the education and research department of the university (at all levels) were conducted; also, documents related to the documentation of tasks and processes, including job descriptions were collected. Additionally, other documents, including operational plan, performance indicators, organizational excellence, etc. were reviewed and reported. To analyze the data, first, the strategic orientation was determined. For this purpose, intitially, strategic elements were identified and relevant approaches were examined. Then, the existing processes were identified as well. In this vein, all the following indicators were identified for data analysis in two parts: strategic elements and strategic elements of information technology.
Findings: The purpose of information organization architecture at Shiraz University is to achieve the desired architectural outputs in this organization. This process can be implemented alongside other core processes of the organization and run continuously. In general, this process consists of three main steps: 1. Strategic IT planning, 2. Organizational architecture planning, and 3. Implementation of organizational architecture.
Discussion: The results showed that DODAF information architecture is the most appropriate and best option for the inforKeywords: DoDAF Framework, information organization architecture, Existing architecture, Desirable
Hadi Alhaei; zohreh Cheraghi; Mansour Koohi Rostami
Abstract
Background and Objectives: The aim of the current study was to Identify and group the effective factors on the implementation of knowledge management in the water production and transmission exploitation company in the southeast of Ahvaz. Today, one of the most crucial success factors for organizations ...
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Background and Objectives: The aim of the current study was to Identify and group the effective factors on the implementation of knowledge management in the water production and transmission exploitation company in the southeast of Ahvaz. Today, one of the most crucial success factors for organizations to gain a competitive advantage is the identification, sharing, and use of organizational knowledge, or knowledge management. As a result, organizations are constantly searching for solutions to successfully implement knowledge management processes in their working environment. Gaining this competitive advantage is obviously reliant on the organization's capacity to efficiently transform current information into new knowledge assets (Ou et al., 2016). Despite the fact that many organizations have invested in and implemented knowledge management at various organizational levels, many of them have also failed (Chua & Lam, 2005). Therefore, one of the biggest problems in every organization is figuring out the essential and efficient components of knowledge management implementation.Methodology: The current study uses an applied approach to its goal and a descriptive-analytical methodology to its implementation. Ten experts—five university professors in the subject field and five senior industry managers—make up the research community. The target population was sampled and chosen using a targeted non-random technique, and the necessary data were gathered using structured interviews and questionnaires. The Interpretive Structural Modelling (ISM) method was used to conduct the final analysis of the study data. An effective method for examining how one element affects other elements is interpretive structural modelling. According to Kannan et al. (2009), this technique looks at the direction and order of intricate interactions between system components.Findings: The results indicated that the cornerstone of this model, which influences all other aspects, is engagement in corporate affairs, knowledge activities, and information exchange. In other words, it is important to pay close attention to the fact that the fundamental component in the implementation of knowledge management is the involvement of all employees in the organization-level sharing of information. As long as all employees do not actively participate in the knowledge affairs of the organization, the rest of the processes will not be done properly. According to the findings, the most influential factors are the mechanism of group discussions, organizational position and use of resources. In the second level, there is the factor of existence of resources, which affects the factors of the first level and is affected by the factor of the third level. At the third level is the concentration factor. At the fourth level, there are four factors of technological infrastructure, trust, leadership and knowledge sharing, and finally at the fifth level is the factor of participation. According to the obtained model, this factor is the most effective factor in the correct implementation of knowledge management.Discussion: Factors affecting the implementation of knowledge management, according to the level of influence, play a key role in the correct implementation of related processes. According to the final model of the research, it can be seen that all the ten factors that were investigated in this research, although they are at different levels of influence, but they are related to each other. This model has identified the factors affecting the implementation of knowledge management in the studied company and discovered the relationships between these factors and leveled them. According to this model, it is suggested to apply the findings of this research and use them in the real work situation, to increase the participation in knowledge affairs and knowledge-building activities in the company, and the company managers to create solutions for Create participation opportunities for all employees. Also, the leaders of the organization, by strengthening the spirit and culture of trust in the organization, create the ground for creating a fluid flow of knowledge and knowledge sharing among different departments of the company, and for this they can use appropriate and up-to-date technological infrastructures. It is also suggested to act in a centralized way in maintaining and producing knowledge content in different work environments so that repetitions and rework can be avoided and previous experiences can be used to solve future problems; In other words, "testing the tested is a mistake, and this will not be achieved without focusing on the creation and access to knowledge treasures.
