نشریه علوم و فنون مدیریت اطلاعات
سال هشتم شماره 1 (پیاپی 26، بهار 1401)

As a new phenomenon, Metavarse has attracted the attention of many information system operators and even policymakers in various fields. Imaginations mingled with mythical predictions of cyberspace have eliminated the possibility of achieving a clear policy-making and implementation framework. In this relatively ambiguous environment, the flow of information production and transmission continues to grow exponentially. Most attention has been paid to the ontological, economical, and political aspects of Metavarse. However, this new space has its own advantages and limitations. In the meantime, issues related to information systems have been largely ignored. In this paper, while introducing the characteristics of Metavars as a new technological and social reality, an attempt has been made to explain the problems of information systems and to suggest solutions.

This research aimed to investigate Wikipedia citations to the Iranian English-language journals approved by the Iranian Ministry of Science, Research and Technology (MSRT).

This descriptive survey was conducted based on citation analysis and scientometric techniques. The population includes 239 English-language journals approved by the MSRT.

The findings indicated that Wikipedia cited 78 journals approved by the MSRT. These 78 journals had 464 citations from Wikipedia. The "Iranian Journal of Botany" received the most citations from Wikipedia. Journals in the fields of basic sciences received the most citations among other journals approved by the MSRT. Moreover, 165 Wikipedia's citing articles were in English, and among Wikipedia articles, articles in the plant category cited to the MSRT journals the most. Furthermore, 412 Wikipedia articles were in English, and among Wikipedia articles, articles in the plant category cited the MSRT journals most than others.

By improving their policies and strategies, Iranian journals can be better recognized internationally in terms of citation impact, social impact, and popularization of science. For this reason, science policymakers should pay more attention to the relationship between scientific journals and the public, especially Wikipedia, to generalize and popularize science and scientific research.

To investigate the effect of information and education through social networks in increasing awareness of the time of the outbreakof Covid19 andunderstanding the information needsof the people.

This isa descriptive-analytical survey witha practical purpose. 384 people were randomly selectedby cluster sampling from regions1,2,3,4,5,7,13,15,16,17,18,20and21.Sampling was done using Morgan tableand thedata were collected bya researcher-made questionnaire.The instrument was evaluatedwith thehelp of information science experts and the reliabilityof the instrument was calculated with Cronbach's alphacoefficient.The data collected in SPSS software were entered, coded and K2,Tand Friedman tests were used to analyze the data.

Manypeople inthe study consider theuse of social networks in information and education to increase public awareness tobe very effectivein the Covid19 epidemic.More than halfof the people consider the presence of these networks tobe influential in their lives andbelieve that these networks can be a good platform for information,education and awareness.Manyof them think that useful trainings andinformation are published in these networks.

People are interested inusing social media toget information, education and awareness of the corona19 andthey believethat they receive useful information and training from these networks,but they are moderately confident in this information.Someof the information thatis shared comes from other sources such as newssites, radioand television.etc.,and people also share thisinformation on social networks

The aim of this study was to identify and rank the factors affecting the implementation of knowledge management in university libraries in Golestan province. The statistical population of this study includes all librarians working in university libraries of Golestan province in 1996.research

The census method was used to prepare and determine the size of the statistical sample. The research is descriptive-survey and correlational in terms of data collection method and applied in terms of purpose. The data obtained from the questionnaires were analyzed after extraction and classification using SPSS software.

Based on the results, the perception of university library managers ranked first (90%); IT infrastructure ranked second (71%); Familiarity of librarians with the concept of knowledge management in the third place (64%); And organizational culture is ranked fourth (61%) in the impact on knowledge management and its implementation in university libraries in Golestan province.

The present study aimed to mark the existence of a person in fourteen Infallibles based on the structure of producing structured data in order to strengthen the attributes of the infallibles aswellas the values ​​of those attributes and to determine the response of search engines at two levels of indexing and semantic appearance to backgrounds based on it. In this way, the information list of the identities of fourteen Infallibles was extracted from the relevant books and websites and matched with the interview experts and their complete characteristics. Overall of 31attributes of the personal existence of the Imams(as) were matched with the 69attributes defined in the Schema. The extracted attributes were also compared with Wikipedia, WikiShia and WikiFeqh databases, which corresponded to 64%, 55% and 25%, respectively. Among the extracted traits, 10 traits were not defined in the Schema. Then, the attributes defined on nasiri1989.ir website were uploaded in the control groups(html), test1(microdata) and test2(json-ld) and introduced to Google,Yandex and Bing search engines. As a result, in the control and test1 groups, All items were indexed, recovered, and visualized in search engines, and identified and indexed in test2, but didnot reach the recovery level and were not semantic visualized.

The purpose of this study is to identify the perception of Telegram and Instagram use by graduate students of Allameh Tabataba'i University using the uses and gratification expectancy model.

The research consisted of an analysis of data collected via surveys. The overall statistical population was the 2,200 postgraduate students of the Faculty of Psychology and Educational Sciences of Allameh Tabataba'i University. The sample size was 327 based on a Morgan table; data were gathered using a researcher-designed questionnaire. The data were analyzed using the Kolmogorov-Smirnov test, a factor analysis test to confirm the validity of the questions and identify key factors of each component and structural equation modeling technique was used.

Analysis of variables showed that while the satisfaction with information sharing using Instagram was stronger than Telegram, with a path coefficient of 0.209, the satisfaction with the effect of perceived pleasure using Telegram was higher than Instagram, with a path coefficient of 0.266. There were no significant differences in the other variables: social interaction, spending time, self-reporting, and media attractiveness.

The results showed that graduate students used both media for different purposes such as social interaction, spending time and self-reporting, and despite the filtering of Telegram, no significant difference was observed between the use of Telegram and Instagram, and almost both media was equally sought after by users.

today, organizations spend a lot of money creating and updating their corporate sites and expect this to lead to customer satisfaction and loyalty and save them time and money. However, improving the content quality and structure of websites is a key factor to achieve these organizational goals. The present study aimed to identify the quality’ criteria and thus improve the effectiveness of the National Library and Archives of Iran (NLAI) Website.

In order to collect data, a researcher-made questionnaire was used. The content quality of the website includes 5 components and the structural quality of the website includes 3 components. Finally, satisfaction and Users' loyalty to the E-services of NLAI Website has been measured with 5 and 4 sub-components, respectively. Finally, these criteria have been ranked using the TOPSIS method.

results show that the content and structural quality of NLAI Website as well as the satisfaction and loyalty of their users are appropriate. Also, the results of structural equation modeling show a positive and significant effect of the content and structural quality of the website on the satisfaction and loyalty of its users.

The websites of libraries and information centers are the first and most important media outlets that can have a significant impact on the satisfaction and loyalty of its users. Accordingly, the efficient and effective improvement of the content and structural quality of the E-services of this website, not only preserve organizational resources, but also guarantees the satisfaction and loyalty of the organization's customers.

The Persian writing has some difficulties that neglecting it can affect information retrieval. This study was conducted to investigate the effect of Persian writing problems on retrieval of database (GANJ) documents based on morphological, semantical and orthographical aspects.

This research is a practical-purpose study that was conducted in a qualitative manner using content analysis techniques. The used method was a researcher-made checklist. T Sampling was done by standard sampling. In the category of conjugational problems, the impact of these problems on retrieval of documents in the database was examined.

The results of the present study showed that morphological, semantic and orthographical problems affect the information retrieval results in the database. It was also found that in the morphological group only for the "adjective morphological morphemes", and in the orthography group, for the problems of "accent mark", "ی and ء transposition in Persian words", "writing of middle and end ء (tittle) with الف seat", " writing of middle and end ء (tittle) with واو seat", "remove or writing tilde Mark" and "writing of consonantal ی after inarticulate ه" have been deliberated and difficulties in semantic group were neglected.

The present study is the first study to investigate the relationship between employees' digital literacy skills and their empowerment.

This research has been conducted quantitatively using a survey method. The statistical population of the study was 440 employees with bachelor's degree and above Allameh Tabatabai University (Tehran), which was calculated and determined by Cochran's formula of 206 statistical sample size. In this study, questionnaires were distributed among the respondents using a simple random method. SPSS software and Spearman statistical tests were also used to analyze the data.

The results of data analysis showed that the average of employees' empowerment (Mean = 86.3) was at a high level and in contrast, the average level of their digital literacy skills (Mean = 53.3) was at a moderate level. Also, there was a significant relationship between digital literacy skills and employee empowerment and the correlation coefficient was equal to (r = .278).The results of examining other correlational relations also showed that except for the sense of significance component, there was a significant relationship between other components of employee empowerment and digital literacy skills. Feeling of competence (r = .187) had the least correlation with employees' digital literacy skills.

The purpose of this article is to identify the areas of application, advantages, challenges and related technologies of blockchain.This research is a systematic review. First, 295 sources were identified and then in 4 stages and by removing unrelated sources, 90 valid sources were analyzed between 2014 and 2021 and the axes related to blockchain were extracted.based on the finding, the areas of blockchain applications were classified into 26 axes, with the highest frequency in the areas Smart contract, supply chain management, health, finance, governance requirements, energy, education, smart city, cryptocurrencies, public transportation and agriculture. Blockchain-related technologies are also widely known, including the IoT, cloud computing, artificial intelligence, and big data. The benefits of blockchain were identified in 24 areas that the most frequency of which were Transparency, privacy, building trust, immutability, decentralization and cost savings. Also, the challenges of using blockchain were identified in 17 cases that scalability, energy consumption, lack of regulations and complexity in this area are the most common. At the end of the, while referring to blockchain research in countries, the research gap and its future directions are presented.Findings show that blockchain is a multidimensional, complex and widely used technology.in

The purpose of this research is to develop an IT roadmap for implementing a organizational virtual bank. In this regard, a new methodology to creating an IT Roadmap was developed

The exploratory mixed method was used in this research. The statistical sample was a panel of 30 experts in the related areas that worked in MSCO. This research was started by the interviews in the expert panel, during the qualitative phase. Afterward, the quantitative phase was started with performing the Delphi in the expert panel.

During the IPA phase, 9 Gaps were discovered. These gaps are necessary to use in the final IT roadmap. Finally, based on all findings a framework for information technology roadmap (customized for implementing a dedicated organizational virtual bank) was developed. Also a new method for IT Roadmapping was introduced

This research presented a new integrated, innovative, localized and applied process, based on the some main methods of foresight, which can easily meet the needs of researchers and scholars in the field of IT roadmapping. Therefore, the IT roadmap framework resulting from this process is a comprehensive, clear, easy to understand and practical IT roadmap framework which has effective role in IT development projects in organizations

The aim of this study was to draw a scientific map and analyze the clusters of research in marketing in libraries and information centers using documents indexed in the Web of Science.

The study is applied research in terms of the purpose and scientometrics descriptive in terms of type. 431 documents exist in the marketing in libraries and information centers were extracted and reviewed.

The results showed that some keywords had the highest frequency in term of co-wording in the following order: marketing (34), marketing to library (18), librarianship (14), social media (13), respectively. Also, the analysis of keyword clusters showed that the area of marketing to libraries and information centers consists of 8 clusters and the most important cluster related to second cluster which includes the following keywords: Bangladesh, information resources, information services, marketing, marketing mix, marketing strategy, public libraries, strategic marketing, University, websites, the World Wide Web which among them, the keywords "marketing" and "information services" are the most important keywords in this cluster.

It is inferred that drawing and analyzing a marketing map to libraries reveals approaches and issues that have so far been neglected.

The aim of this study was to investigate the causal relationship between knowledge management and digital literacy on job performance with the mediating role of organizational learning among secondary school teachers in Urmia city.

This is an applied study as well as descriptive-correlational type in terms of the nature of the subject and objectives of the study. The statistical population consists of all Secondary school teachers of Urmia County that are 1123 persons. To implement the study, 285 people were selected of the statistical population in a stratified random sampling. Four questionnaires, knowledge management, digital literacy, organizational learning and job performance were used to collect data. The obtained data were analyzed using correlation and path analysis. The reliability of the questionnaires was estimated by calculating Cronbach's alpha coefficient for the knowledge management questionnaire 0.87, digital literacy 0.93, organizational learning 0.93 and job performance 0.86, respectively.

The results showed that there is a direct and significant relationship between knowledge management with job performance, digital literacy with job performance, knowledge management with organizational learning and digital literacy with organizational learning. Digital knowledge and literacy management through organizational learning has an indirect effect on job performance.

According to the results, it seems that knowledge management, digital literacy and organizational learning affect the job performance of teachers, so to achieve high job performance, it seems necessary to pay attention to knowledge management, digital literacy and organizational learning.

The purpose of this research was to improve the five steps of Schallmo's methodology for digital transformation of business models, using Schumacher’s digital maturity assessment model, three approaches to business model transformation based on Heikkilä's recommendations and to improve digital innovation approach. The business model changes are based on Stampfl’s recommendations.

This research has a combined methodology which consists of a validity review study method and action research method in a manufacturing SME. This improved methodology has been used in strategic planning for the digital transformation of the business model of one of Iran's manufacturing companies.

After reviewing the various documents of the Schallmo’s five-step framework, it was improved by Schumacher's maturity model for industry 4.0, approaches of business model transformation recommended by Heikkilä et al. and various types of business model innovation as described by Stampfl. Then the improved framework was used to map the target state of company's digital transformation.

Since the proposed model of this research, in addition to improving the Schallmo model, has been implemented in a real company, so it seems that it can be used by Digital transformation planning and digital operating models as well as change managers and consultants.

Information management and information exchange today, as one of the important concerns of developed countries, is at the forefront of planning in these societies. This study was conducted with the aim of the role of information exchange management in the process of preventing cybercrime among FATA employees in Tehran.

The method of this study is a quantitative and cross-sectional survey that was conducted in 2021 and the statistical population of this study includes FATA police officers in Tehran, using Cochran's formula, 90 of them as a sample. were chosen. To ensure the indexing of variables in the questionnaire, the validity of the questionnaire, face validity, content validity and construct validity were examined and data analysis was performed using SPSS software.

The research findings showed that the correlation coefficient between the independent variables and the dependent variable is 0.539, which shows that there is a relatively strong correlation between the set of independent and dependent variables of the research. However, the value of the adjusted coefficient of determination is equal to 0.421, indicating the statistical fact that 42% of the total rate of cybercrime prevention depends on 6 independent variables; Operational capability, speed utility, accuracy utility, automation, information, transformation. In other words, independent variables estimate (predict) 42% of the variance of the dependent variable of cybercrime prevention.

The development of information in today's world has affected many life processes and changed many life processes. In the field of criminology, information management components can also play a constructive role in the prevention of cybercrime.

Due to the increasing share of consumption and watching videos - especially movies and series - in the basket of Iranian households, several systems have been set up to facilitate people's access to these videos. One of the most important types of these systems is the video-on-demand system which has taken unprecedented growth in attracting audiences in recent years. Just as the multiplicity of content in these systems causes users to be diverse and satisfied, this multiplicity can be more confusing for them to find interesting content. Therefore, the need for recommendation systems to further predict user interests and provide consistent content is felt more and more day by day. The purpose of this study is to provide an efficient method of recommending videos based on user viewing data in the video-on-demand system.

In this research, a new bidding algorithm based on users' tastes and video watching data in the video-on-demand system is presented. This algorithm is based on the concepts and indicators of social network analysis. How this algorithm works is that first the similarity of the videos is calculated based on the percentage of movies viewed by the user and based on that the similarity matrix of the movies is formed. In the next step, based on the similarity matrix of the films, the communication graph of the films is formed, and in the next step, while discovering the communities in the graph, the centrality indicators of each film are calculated.

To investigate the effect of Educational-Research Interactions between Professors and Students with Librarians in Mazandaran University Scientific Production using Structural Equation Modeling.

In terms purpose is practical and in terms of how to collect information description. The statistical population was 1434 people of Professors, Students and Librarians who were selected through Cochran's formula 485 as a sample. The questionnaire Thesis of Narimani(2021), SPSS26 and SMARTPLS Software were used to measure variables and data analysis.

The effect of Teacher-Student Educational & Research Interactions with Librarians on Scientific Productions is significant. Teacher-Student Educational Interactions with Librarians(β=0.323) affect directly Scientific Productions and Research Interactions(β=0.472) too. The results of the Structural Equation Model indicate the appropriate fit of the Proposed Model.

Professor-Student educational & Research Interactions with librarians as the most constant factor in empowering in the scientific production of Mazandaran University Was increasing Academic Output. Therefore, considering the role of Librarians of the present Age(reference, consultant and educator), these Interactions can be highlighted by holding conferences, meetings, and workshops. It is also to provide a clear picture of the experiences of University Professors, Students & Librarians, which can be helpful in the University's Macro-Decisions to advance & develop research.