Research Paper
Knowledge Management
Mohammad Ali Siahsarani Kojuri; Mahmood Reza Cheraghali
Abstract
In the information age, knowledge is the most important and valuable asset of any organization. This research is based on the purpose of the type of applied research that was done using the survey method and analytical approach. The statistical population was managers, faculty members, and scientific ...
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In the information age, knowledge is the most important and valuable asset of any organization. This research is based on the purpose of the type of applied research that was done using the survey method and analytical approach. The statistical population was managers, faculty members, and scientific assistants of Golestan University in 2025, and due to the limited nature of the research population, Morgan's table was used, and the required sample size for the current research was 187 based on the statistical population of 365 people, and on this basis, the number of 190 The questionnaire was collected using stratified relative sampling method. In order to measure the reliability of the research tool, Cronbach's alpha was used and in order to check the validity of the questionnaire, first and second order confirmatory factor analysis was used. The findings showed that in the barriers to maintaining and developing human resources knowledge, the three factors of organizational culture, organizational structure, and management are below average, and the two factors of information technology and human resources are slightly above average. Also, the use of artificial neural networks to predict the level of maintaining and developing human resources knowledge showed that the current research model with three neurons in the hidden layer would reach the highest level of prediction accuracy, which is 0.893. The results showed that the infrastructural indicators of knowledge management at Golestan University, especially in the three factors of organizational culture, organizational structure, and management, require immediate attention and action.
Research Paper
Intelligent Systems Recovery
Masoumeh al sadat Abtahi; Parvaneh Fath Ali Beigi
Abstract
The aim of the present research is to determine and rank the factors affecting the implementation of an electronic city plan using the Analytic Hierarchy Process. The research method is descriptive in nature and, given its purpose, is applied, quantitative, and survey-based. The statistical population ...
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The aim of the present research is to determine and rank the factors affecting the implementation of an electronic city plan using the Analytic Hierarchy Process. The research method is descriptive in nature and, given its purpose, is applied, quantitative, and survey-based. The statistical population in this research includes 21 experts. Due to the limited statistical population, the sample size is considered the same as the statistical population (21 individuals). Purposeful sampling was used in this research through both library research and questionnaires to collect data. In order to assess the validity of the research questionnaires, experts were consulted. The questionnaires were distributed to several experts and management professors, and their feedback was taken into consideration. The validity of the questionnaires was ultimately confirmed. In order to determine the reliability of the questionnaires (pairwise comparisons), the inconsistency rate was calculated for each pairwise comparison matrix. The overall inconsistency rate was 0.06, which is acceptable with a scale of 0 to 1, indicating that the matrices are reliable. Data analysis was conducted using Choice Expert software and Analytic Hierarchy Process (AHP). According to the expert opinions, organizational factors are the most important (weight 29.0) and political factors are the least important (weight 19.0).
Research Paper
Information and Knowledge Management
zohre sharei; marzeye dehghanizade; Mohammad Hasanzadeh Odorji
Abstract
This research aims to explore the motivation to participate in intra-organizational knowledge sharing. The current research was conducted qualitatively based on the interpretive paradigm and with a developmental applied approach. To collect data, library sources and semi-structured interviews were used. ...
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This research aims to explore the motivation to participate in intra-organizational knowledge sharing. The current research was conducted qualitatively based on the interpretive paradigm and with a developmental applied approach. To collect data, library sources and semi-structured interviews were used. The statistical population of the research was the faculty members of Payam Noor University, who were selected based on criteria for a purposeful sample of 16 people. The validity and reliability of the data obtained from the interviews were obtained by using the acceptability criteria and the ability to confirm and retest. Data analysis was done using the Grounded Theory method and coding process in three stages of open, central, and selective coding. The codings were drawn in all three stages of explanation and the motivation model for intra-organizational knowledge sharing for the faculty members of Payam Noor University based on the foundation data method. The results of the research in the qualitative part showed that the four categories of strategic alignment of knowledge sharing, management factors, individual factors, and content creation, in this research, the sharing environment, educational aspects, evaluation, technical issues, infrastructure, and information issues are the main contextual factors. Two categories of personality factors of members and instability of organizational culture are considered as intervening categories. The strategy of this research is four transformation factors, growth orientation, organizational context, and organizational strategies, the last part of the model includes the consequences Organizational dynamics, social consequences, the development of structural factors, and the Development of learning organization
Research Paper
Information and Knowledge Economics
Ehsan Parvin; Mohsen Nazarzadeh Zare
Abstract
The present study aimed to identify the challenges of the purposefulness of academic research towards role-playing in solving the problems and issues in Iran. The researchers used a qualitative approach by content analysis to achieve this aim. The participants in the study included 16 connoisseurs from ...
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The present study aimed to identify the challenges of the purposefulness of academic research towards role-playing in solving the problems and issues in Iran. The researchers used a qualitative approach by content analysis to achieve this aim. The participants in the study included 16 connoisseurs from universities and research institutes who were selected based on the purposeful sampling method of the type of criterion. The tool for data collection was a semi-structured interview and the method of data analysis was an inductive content analysis. To check the credibility of the findings of the study, three methods; member check, triangulation, and peer check were used. The findings showed that the challenges of the purposefulness of academic research towards role-playing in solving the problems and issues in Iran can be divided into four main categories and eight sub-categories included; institutional challenges (the weakness of the promotion regulations of faculty members in not assigning special points to applied and problem-oriented research, the lack of a monitoring system and appropriate accreditation), organizational challenges (inappropriate distribution of the ratio of faculty members to students, lack of allocation of operational and problem-oriented budgets in universities, lack of attention to mission orientation in attracting faculty members and students), environmental challenges (incomplete cycle of science, technology, and innovation, low demand from institutions and organizations to conduct applied research) and individual challenges (inability and low willingness of faculty members to solve society's problems).
Research Paper
Information and Knowledge Management
Seifallah Andayesh; zahra kianrad
Abstract
Introduction:The purpose of this study is to examine the relationship between artificial intelligence (AI) and the performance of medical librarians, focusing on the mediating role of knowledge sharing among managers, administrative staff, and heads of medical science libraries affiliated with the Ministry ...
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Introduction:The purpose of this study is to examine the relationship between artificial intelligence (AI) and the performance of medical librarians, focusing on the mediating role of knowledge sharing among managers, administrative staff, and heads of medical science libraries affiliated with the Ministry of Health and Medical Education in Tehran.Methodology:This research is descriptive and survey-based, and in terms of its objective, it is applied. The statistical population includes managers, administrative staff, and heads of medical science libraries affiliated with the Ministry of Health and Medical Education in Tehran. Due to the limited size of the population, a census method was used, involving all 176 individuals. To measure artificial intelligence, the study utilized the 22-item questionnaire developed by Chen et al. (2022), covering a wide range of AI dimensions. Employee performance was assessed using the 12-item questionnaire by Stephen (2005), and knowledge sharing was measured with the 12-item questionnaire by Damaj et al. (2016). The reliability of these instruments was confirmed through Cronbach's alpha, and their validity was verified through convergent and discriminant validity. Data analysis was conducted using descriptive statistics such as frequency distribution and inferential statistics through structural equation modeling (SEM) with Smart PLS software.Findings:The results indicated that artificial intelligence has a positive and significant impact on employee performance. Additionally, artificial intelligence positively influences knowledge sharing. Moreover, knowledge sharing has a positive and significant effect on employee performance.Conclusion:The findings revealed that knowledge sharing fully mediates the relationship between artificial intelligence and employee performance.
Research Paper
Information Storage and Retrieval
NAHID SAFARI; ZOHERR MORHOSSINI; ZAHRA ABAZARI
Abstract
Objective: This study investigated the information seeking behavior of art researchers in the process of searching for information on the web. Research Method: This study is semi-experimental. It was conducted using observation, interview, and statistical analysis methods. The statistical population ...
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Objective: This study investigated the information seeking behavior of art researchers in the process of searching for information on the web. Research Method: This study is semi-experimental. It was conducted using observation, interview, and statistical analysis methods. The statistical population consisted of 48 art researchers who were selected through purposive sampling. Data were collected through Comtasio software to record the search process, semi-structured interviews to examine cognitive strategies, and a standard information seeking behavior questionnaire to measure related variables. Two search tasks were assigned to the participants: easy (finding a Latin article about Iranian art) and difficult (finding a related job opportunity abroad), and data analysis was performed using the Chi-square test. Findings: The findings showed that in easy searches, participants mainly used faster and more superficial strategies such as extensive use of the Google search engine (with a frequency of 976) and formulating search terms from general to specific. In contrast, in difficult searches, researchers resorted to more advanced analytical methods such as repeated modification of search terms, use of Boolean operators, and reference to specialized databases. The statistical data analysis showed that the total number of strategies adopted in the second task was 976 in the easy style and 959 in the difficult style, for a total of 1935 strategies, indicating that the level of complexity of the search tasks has a direct impact on the strategies used by researchers. This highlights the need to optimize information retrieval systems based on the needs of users .
Research Paper
azadeh namdari
Abstract
Purpose: purpuse of is paper present discutionses brief of background occasion and way use of topics to name chocherent indexing is was aim main research present indification and analizing dgree abservant indification and analizying dgree abservent variable contribute indexing is Methodology:research ...
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Purpose: purpuse of is paper present discutionses brief of background occasion and way use of topics to name chocherent indexing is was aim main research present indification and analizing dgree abservant indification and analizying dgree abservent variable contribute indexing is Methodology:research present of kinds discrubtive review is for perform this work of ways study library use is and of that dgree abservant variable influence management chocherent of terminology indexing to way evaluation case indification and analizing seat for this idea of principle all countribute of chocherent which by researcher classicall indification and analizing become use intirly and direction evalation if regim chocherent terminology use direction evulation ideas of researcher which to them researcher exprements and meseare neccssery of this priviatized obtain is useFinding Resulting research indicator is this which of evallation dgree abservant variables contribute of indexing maximom variable concerned conformty between frim indexing and output foreing that and lessest concerned to control and constraint is indexing thus of aspect indexing almost difficult concern to variable of chocherent indexing diffusion and only about variable control and indexer almost researcher beliver to exist difficult basic of chocherent are indexing Originality /value : value this paper of showe this is point which dirction promotion indexing seem better is confinemint extra of select kinds terminology and optimanazation researcher and using exploration Keyword:Indexing, Chocherent indexing , Human indexer, process discover and exploration
