Search published articles

Showing 4 results for Moradi

Narges Neshat, Marzieh Moradian,
Volume 6, Issue 3 (10-2019)

Background and Aim: The purpose of this study is to determine the quality requirements of the National Digital Library based on the Kano model and categorize users needs into three groups of:  Basic, functional and motivational.
Methods: This survey was conducted with a qualitative approach. The requirements of the digital library were extracted using two standards: "Digiqual manual" and the "Digital Library Evaluation Manual."   The requirements were adjusted based on Kano model in a questionnaire consisting of four categories and 52 pairs of questions (104 questions).
Results: The results of each of the requirements (basic, functional, motivational) in four dimensions (access control, content, data retrieval, and visual effects) show that   half of the users' requests are in the basic requirements group which National Digital Library officials should pay more attention to and prioritize the redesign or development plan of the digital library. Also, the second priority was the requirements of the functional group. Paying attention to the requirements of this group causes satisfaction and dissatisfaction otherwise. Attention to meeting the motivational requirements of the third priority if met  could create a high level of satisfaction in the use of the National Digital Library.
Conclusion: If clienteles  satisfaction is of worth,    managers of the National Digital Library should design short-term and long-term programs according to the users real needs.
Dr. Mohammad Moradi, Dr. Mojtaba Mazoochi,
Volume 8, Issue 4 (2-2022)

Purpose: The purpose is to present an open government data evaluation method by considering comprehensive and complete dimensions and criteria - calculating the weight and importance of each criterion, examining the country in this area, clustering organizations and presenting a classification model to predict the situation.
Methodology: Library studies was used to extract the dimensions and criteria of evaluation. Population includes articles related to open government data evaluation criteria. Ten articles were reviewed by simple random sampling method. Multiple attribute decision making techniques was used to calculate the weight and importance of each criterion. Data mining techniques was incorporated to cluster and create a classification model.
Findings: By reviewing the articles 15 criteria of open government data evaluation including:  Data originality, license openness, up-to-datedness, data access rate, metadata completeness, number of data sets, format openness, non-discriminatory, comprehensible, number of data fields, free, no missing data, data request ability, visual and feedback, were extracted. Using AHP technique, the weights of the criteria were calculated, which after normalization, the total weight of the 15 extracted criteria was equal to one. "Data originality" with a weight of 0.165, " license openness " with a weight of 0.124 and " up-to-datedness" with a weight of 0.109 were ranked first to third among 15 evaluation criteria, respectively. Weight of evaluation criteria obtained and data extraction of 358 organizations in harmony with 15 evaluation criteria, the weight of organizations was calculated. The sum of the weights was equal to one. "East Azerbaijan Agricultural Jihad Organization" with a weight of 0.088, "Statistics Center of Iran" with a weight of 0.062 and "Geological Survey" with a weight of 0.058 were the first to third ranks among 358 organizations and government institutions, respectively, based on the combination of criteria and the weight of criteria.
Conclusion: Evaluation criteria obtained, calculating the weight and importance of each criterion, examining the current situation of government organizations and institutions in the country and the classification model created can help managers to understand the current situation and improve it and thus increase citizens' interaction with open government data as a kind of human information interaction.

Zahra Alimoradi, Mohammad Zerehsaz, Ali Azimi,
Volume 9, Issue 3 (10-2022)

Purpose: Information counselors have different tasks depending on the different roles they can take on in libraries or other organizations. These tasks are based on the needs of the organization and, of course, current developments, especially in the field of emerging technologies. The first task of an information consultant in an organization can be to help determine the policies and information needs of that organization. The purpose of this study is to determine the model of desirable job competencies for holding an information consulting job in Iran.
Methodology: This research was applied in the fall and winter of 2019 using thematic analysis and Delphi analysis methods. The research community in the first part includes texts in the field of information consulting and two parts of Delphi include experts and experienced people in the field of information consulting. In this research, a coding list and two questionnaires for Delphi panels have been used as data collection tools. SPSS software was also used for data analysis.
Findings: Findings showed an increase in the score of all types of individual competencies, knowledge, and skills at the advanced level compared to the basic level. Moreover, the average merit scores in both levels were higher than the average level. This finding indicates that despite the high importance of all competencies at both professional levels, the importance of many competencies is higher at the advanced level, where more complex responsibilities are envisaged for IT consultants.
Conclusion: In the research model, the types of individual competencies, knowledge, and skills required at both the basic and advanced professional levels are introduced. It should be noted that providing specialized training to job applicants such as information counseling can strengthen their desirable job competencies. Therefore, when starting to work in professions such as intelligence consulting, applicants should have an acceptable level of competence and experience the additional training, knowledge, and skills needed to take on higher and more complex levels of responsibilities

Mojtaba Mazoochi, Dr Leila Rabiei, Dr Mohammad Moradi,
Volume 9, Issue 4 (1-2023)

Introduction: Errors in data collection and failure to pay attention to data that is noisy in the collection process for any reason cause problems in data-based analysis and, as a result, wrong decision-making. Therefore, solving the problem of missing or noisy data before processing and analysis is of vital importance in analytical systems. The purpose of this paper is to provide a method to identify noisy data, outliers, and missing data and provide a suitable solution for these data.
Methods: This study is applied research. Data mining techniques including binning smoothing and regression models have been used to identify and replace outlier and noisy data.
Results: The results of the tests performed in the real environment related to the data of social networks show the proper performance of the proposed method. It has also been shown that the proposed method has higher accuracy compared to the methods of binning smoothing, average and linear regression. So that for the data related to the tweet section, the mean squared error obtained for the proposed method was equal to 0.04, the binning smoothing method was equal to 0.38, the linear regression method was equal to 0.05 and the average method was equal to 0.06.
Conclusion: The method presented in this article can initially identify outlier data through one-third and two-thirds normal, and then replace the outlier data with a linear regression model, which results in improving the performance of using and processing information and improving human-information interaction

Page 1 from 1     

© 2024 CC BY-NC 4.0 | Human Information Interaction

Designed & Developed by : Yektaweb