نشریه مدیریت اطلاعات
سال سوم شماره 1 (پیاپی 4، بهار و تابستان 1396)

Higher education institutions have a huge amount of data in student domains, curriculum and human resources that contain useful information for planning and decision making. Universities can use such information to increase their competitive advantage through Business Intelligence systems. For these reasons, the present study attempts to investigate a model for the business intelligence of universities. To achieve the desired model, after studying and reviewing the literature, the effective components on the design of the model were identified and then the elements and components of business intelligence in the university based on the opinions of the educational expert panel were extracted. The proposed model includes five sections: registration management, student support, improvement of student's academic status, improving the content of the course, improving the teaching methodology and management of the graduates. After identifying the main elements of the proposed and conceptual model for the business intelligence of the university, by using the Structural Modeling Interpretative Method, the elements of the proposed conceptual model, a hierarchical model were obtained. Based on this hierarchical model, the graduate management has a high penetration power and is at the highest level, and the development of teaching skills and improvement of the content of the courses, have high and moderate influence and affiliation, but improvement of students’ education and enrollment is high and they are at the lowest level. These levels can be used to configure the university business intelligence system along with the components of each section.

Improving the quality of products by optimizing production procedures is a continuous goal for all industrial-manufacturing companies. Reducing waste and defective products through controlling factors in production processes is always a goal of managers’ steel companies. One of the surface defects appears in steel coils is sticker issue, which is a kind of layers welding that occurs in the production line during the opening of the annealed coil when the force required to open the coil is greater than the Surrender Strength. To reduce the stickers’ issue, operational data of the production process of cold rolling analyzed and presented in a fashion that reflects the effective features create this defect. For this purpose, data mining techniques can be exploited, because these techniques can retrieve knowledge and extract operational rules from a dataset. The dataset under examine was analyzed using neural network, logistic regression, support vector machines, and decision trees. Experimental results reveal the highest accuracy is related to decision tree C5.0. Accordingly, from this decision tree, rules were extracted which were checked and controlled by the experts. The results showed that the use of data mining to analyze the parameters affecting sticker defects can lead to improved quality, because this approach can be used to adjust the operational parameters of the manufacturing processes.

In recent years, the volume of data and information exchanged over web pages, social networks, emails, and blogs is increasing. Most of the information that is exchanged and stored is in text format, which is very valuable given the huge amount of text data that is analyzed and discovered from these data. Text mining is one of the most important methods to extract knowledge from structured data which help organizations to achieve their goals. These days most of products like books purchased via internet or online. So that customers need dedicated information to make the decision to buy products more intelligently and smartly. Amazon is one of trading website which give related information to their customer for online buying. One of problem for these method for buying books is subcategory of books is not cleared which customer may buy unwanted books. In this research we tried to present predicting model to predict topic related to Business Intelligence by using text mining methods. Results show that Business Intelligence tools and visualization, behavioral organization, process management, decision support system, leadership, text mining and database are seven clusters which related to Business Intelligence.

This study aimed to investigate the familiarity of librarians and users of the Central Library of Islamic Azad University, Science and Research Branch of Tehran with Web 2.0, on the implementation of Altimetrics. In essence, this study was an applied research and has been carried out using a Sequential-Explanatory Mixed Method Design. Therefore, a combination of quantitative and qualitative methods has been used. Questionnaires and structured interviews were used in quantitative and qualitative research. Two questionnaires were developed for librarians and users. The target population of this section was all librarians and users of the Library of Science and Research University in Tehran. Due to the limited number of librarians, sampling was not performed, but for users sample based on Morgan's table, Data were analyzed by SPSS. The Information Management System was created as the second part of the quantitative tool with the help of OMEKA. The target population of this section was all library users who used the system. Data was analyzed by Addthis. The qualitative part of the research was a general qualitative research method and the target society was considered as the whole librarian because of limited population. Structured interview was used and interviews with 12 librarians continued to be used to reach the consensus level. The results of quantitative part of the research show that using virtual media tools among target population has been evaluated below the average. Meanwhile, the use of Mobile messenger tools in both groups is moderate. Also, the analysis showed that the use of some social networks, including Mendly and Research Gate, has increased among users after the creation of The InformationManagement System. Based on the results of the qualitative part of the research, the use of virtual media among users and librarians has increased after implementation of the altmetrics button. Creating The Information Management System at the library site and equipping it with the altmetrics button and variety of virtual media tools expanded the user's use of virtual media and familiared them with altmetrics. Librarians also took important steps to use the examined tools to better Services the library.

Performance appraisal is one of the key issues in managing any organization or institution that seeks to improve the level of performance or performance of its organization's existing situation. There are different approaches to evaluating performance. One of the approaches or performance evaluation patterns is the "Data Envelopment Analysis", which is a nonparametric method based on the data obtained from the input and output indices. The purpose of the present study is to determine the appropriate indicators for assessing the efficiency, efficiency, efficiency, or inefficiency of the central libraries of Iranian universities, according to this approach. This research is descriptive. For collecting data, a survey method has been used and two questionnaires have been used. For performance evaluation of central libraries, the BCC model is one of the patterns of data envelopment analysis, as well as another model common weights was used. An evaluation of the effectiveness of 41 central government academic libraries in Iran showed that only one library was efficient and excellent, 8 libraries very good, 13 libraries good, 7 libraries medium-level, and 12 libraries at poor levels are located.

Nowadays, human faces with difficulties of unsustainable ways of life, since efforts to achieve economic growth and increase incomes through destroying natural resources and ecosystems have caused many people to forget environmental trends and therefore often resist any kind of change necessary for a sustainable and humanitarian economy. Globalization, gradually, has resulted in development of industry and clean and green technologies, and this makes compliance with the principles of green economy necessary. Therefore, manufacturers, importers and exporters are increasingly forced to upgrade their metrics and indicators, especially from the environmental point of view, to meet the demands of rigorous customers. In this research, the indicators of green information technology and economic sustainability were identified through targeted interviews and library studies. Then electronic questionnaire was distributed among managers, consultants and IT experts. Totally, 108 questionnaires were collected during one month and data of 99 samples were reviewed. Data analysis conducted in the form of structural equation modeling and least minor squares method. This paper was an applied study in terms of purpose and survey- descriptive in terms of research methods. The results showed that organizations can lead themselves to economic sustainability through the indicators of green information technology (life cycle, infrastructure, empowerer, organization and methods.

The purpose of this research is to present a crisis management model in the archival centers of Iran during the pre-crisis and confronting stage. The present study was conducted with a qualitative approach using the grounded theory method. Data was collected using semi-structured interviews. Data saturation was a major factor in determining sample size. The research population included 20 crisis management specialists and managers of archives in Iran. Data analysis was performed in three stages: open, axial, and selective coding. The paradigmatic model derived from the findings of the research includes the sections of the causal conditions, strategies, intervening conditions and the underlying conditions and their outcomes. The causal conditions are located in two categories of internal crises such as biological crises and lack of proper management, and external crises such as natural disasters, fires and human-made crises. Intervener conditions and backgrounds include categories such as lack of specialist staff training, lack of appropriate environmental conditions and management mechanisms, archival building, use of the crisis map during a crisis, and use of a variety of archival equipment to confront with fire, and human resources issues. To prevent and confront the effects of the crisis in archives, some strategies are required such as modern education for resilience, teaching how to use records, decision-making in crisis conditions standardizing buildings and equipment (non-use of steel skeletons in building archives, use of concrete skeletons Armed or metal, as well as the use of walls and doors and floors of anti-fire covers) in the building of archives and the establishment of multi-layer protective systems for the protection of documents.