Univrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Data mining of Students Withdrawal at University of Tehran, Focusing on Fee Paid Students (to prevent customer churn)داده کاوی دانشجویان انصرافی دانشگاه تهران با تمرکز بر حفظ دانشجویان شهریه پرداز (جلوگیری از روی گردانی مشتری)2172385396910.22059/jitm.2015.53969ENSaied Ali AkbarAhmadiProf. Faculty of Management , Payam Noor University West Unit, Tehran, IranDavoodKarimzadganAssistant Prof. Faculty of Computer Engineering , Payam Noor University, Tehran, IranTorajKhairati KazerooniMSc. Student in Information Technology Management, Faculty of Manegent Payam Noor University of Tehran, IranJournal Article20150317Student withdrawal in higher education is one the important challenges in universities. This paper considers the admission of fee paid students as a business and their withdrawals as customer churn. The aim is to investigate the attrition and predicted risk of attrition to adapt interventionist polices deterrent. This study is a descriptive an applicable technique that uses quantitative and qualitative data. It uses Crisp technology of data mining. The data are derived from educational system of University of Tehran including 21420 fee paid students accepted at 2010 to 2014. The main goal is to analyze the behavior that is at risk of attrition and withdrawal. After data analyze and construction of predictive modeling, the probability table of attrition and regression model will be presented. The final results show that the first and second semester (especially the age range 24-31) of M.Sc students are the most likely risk of withdrawal of happening. https://jitm.ut.ac.ir/article_53969_0368dcb86cf8dbb8091a8874402b45be.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Fraud Detection Using a Fuzzy Expert System In Motor Insuranceکشف تقلب در بیمۀ بدنۀ خودرو با بهرهمندی از سیستم خبرۀ فازی2392585399210.22059/jitm.2015.53992ENSeyed MohammadtaghiTaghaviFardAssociate Prof. in Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, IranZahraJafariMSc. in IT Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, IranJournal Article20140701Insurance industry experts believe that fraud is a destructive disaster in the insurance industry. Over the years, many methods have been used in the literature for fraud detection, one of which is expert systems. Fraud detection expert systems are based on the knowledge of experts in the field of insurance identify fraud. Judgment of experts is mostly based on evidence, documents, qualitative information which is often presented in verbal words to describe the fraudulent behavior. In the presented model, 61 qualitative and quantitative criteria related to the detection of fraud in car insurance were identified. Then, these criteria were prioritized according to expert opinion and 17 criteria with the highest priority classified into eight factors were selected. In the suggested system fuzzy inference was performed using Mamdani algorithm. Finally, the designed system was implemented to an Iranian private insurance company and the validity of the system assessed by a questionnaire and came up to 69.45%. The obtained results indicate that the proposed model is able to detect the fraud quite significantly.https://jitm.ut.ac.ir/article_53992_214f90d0eee9e1433133836ec87c6376.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Combines the Apriori and FCM Algorithm to Improve the Extracted Association Rules with Determine the Minimum Support Automaticallyتعیین خودکار حداقل دامنۀ پشتیبانی از قاعده در محیط فازی برای بهبود استخراج قواعد همباش با استفاده از الگوریتم اپریوری2592825386310.22059/jitm.2015.53863ENHeydarJafarzadehMSc., Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Ilam, IranChamranAsgariMSc., Department of Computer Engineering, Payame Noor University, IranAmirAmiryMSc., Department of Computer Engineering, Islamic Azad University, Malayer, IranJournal Article20140919Apriori algorithm is the most popular algorithm in association rules mining. One of the problems the Apriori algorithm is that the user must specify a minimum support threshold. Consider that a user wants to implement the Apriori algorithm on a database with millions of transactions; Users will not have the necessary knowledge about all the transactions in the database and therefore cannot determine an appropriate threshold. The aim of this paper is improved the Apriori algorithm to automatically determine the minimum support. To achieve this, we will try to use fuzzy logic before of using the Apriori algorithm on data contained in the database, put the data in different clusters and try the offer to user the most appropriate threshold automatically. We hope this will be any rule that may be of interest not lost, because of inappropriate threshold specified by the user and also not extracted any rule uselesshttps://jitm.ut.ac.ir/article_53863_6241bdcb2065f67d71456b81c7738de3.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Designing a Decision Support System for Prioritizing of Banks’ Branchesطراحی سیستم پشتیبان تصمیم برای رتبه بندی شعب بانک (مطالعه موردی: بانک تجارت)2833005399410.22059/jitm.2015.53994ENAmenehKhadivarAssistant Prof., Faculty of Economic and Social Sciences, Alzahra University, Tehran, IranZahraMohammadiBSc., Faculty of Economic and Social Sciences, Alzahra University, Tehran, IranJournal Article20140517 The banks are the most important symbol of monetary market in any country without exception. As the optimum function of the banks have important role in economic development of the country, creating the ground for qualitative and quantitative promotion of the banks performance in healthy competition can play important role in achieving the goals. One of the methods helping the bank’s branches to identify the competitive position and performance quality is evaluation of their performance from various aspects and their ranking. The aim of present study is to design a decision support system based on Promethee II method as a complete and comprehensive method and by automatic ranking, despite considering the qualitative and quantitative indices, it is done in by low time and costs with high precision. Thus, it is possible to analyze the sensitivities to be sure of the initial selections and changing the indices and values dependent upon the environmental changes are provided for branches evaluators. The system output is the rank associated to each branch based on Promethee II method.https://jitm.ut.ac.ir/article_53994_9e661acecb4a40abe79c8bdf0f9a2e7b.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622A Model in Support of the Implementation of Enterprise Resource Planning (ERP) Projects by System Dynamics Approachارائۀ مدل پشتیبانی اجرای پروژه های برنامه ریزی منابع سازمان (ERP) با رویکرد پویایی های سیستم3013245386410.22059/jitm.2015.53864ENMohammad RahimRamazanianAssociate Prof., Faculty of Literature and Humanities, Guilan University, Rasht, IranRezaEsmaeilpourAssociate Prof., Faculty of Literature and Humanities, Guilan University, Rasht, IranMarjanHadidi MasoulehMSc. Student in Industrial Management, Faculty of Literature and Humanities, Guilan University, Rasht, IranJournal Article20141117 Recent studies have indicated that the rate of successful Enterprise Resource Planning (ERP) implementation projects is reduced and risk of implementation is increased to the same extent. Accordingly, this study provides a model in support of ERP implementation using system dynamics approach by behavioral simulation in the Vensim software environment. This study is an applied research and due to the nature, this is a descriptive and analytical research. For the purpose of research, proposed simulation model is used in Paksan organization in order to present policies for the improvement in the organization's ERP system implementation project by testing different strategies in simulation environment. Since in this research the improvement of ERP system implementation project has been considered in terms of time and cost, policies have been proposed to reduce these two factors that their results were this: increasing the number of experienced users, eliminating customization and increasing the amount of training cause improvement in project perfpemance.https://jitm.ut.ac.ir/article_53864_8c61007feb1b305a9fce1f3fcfe6d3e8.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Survey on the Priority Factors Influencing IT Outsourcing in the Platform of Cloud Computing in Semnan Province Universities by Fuzzy DEMATEL Techniqueپیمایشی دربارۀ اولویتبندی عوامل مؤثر بر برونسپاری فناوری اطلاعات در بستر رایانش ابری، در دانشگاههای استان سمنان با بهرهمندی از روش دیمتل فازی3253445399310.22059/jitm.2015.53993ENMir SaeedShafaee TonekaboniMSc. Student, Department of Information Technology, Electronic Branch, Islamic Azad University, Tehran, Iran.RezaSheikhAssistant Prof., Faculty of Industrial Engineering and Management, Shahrood University, Shahrood, IranMohammad MehdiJalaliInstructor, Faculty of Computer Engineering and IT, Shahrood University, Shahrood, IranJournal Article20150205Today, Information Technology Outsourcing (ITO) has developed and caused organizations to become more flexible and dynamic than they were before. The ever-increasing development of ICT is one of the main reasons for the promotion of outsourcing. That is due to the fact that many organizations are not able to adapt their hardware and software in accordance with the fast-paced technology development. Cloud Computing is considered as one of newest paradigms in ITO. Due to its flexible nature, this paradigm has been able to protect organizations against extreme changes of IT during recent years. Furthermore, by better understanding their needs and prioritizing them, organizations can experience a more successful outsourcing in the context of Cloud Computing. SMI can be a considerable help in identifying organization’s needs to use Cloud Computing. This article suggests that organizations use Fuzzy DEMATEL Technique to prioritize their needs. In this research which is conducted as a case study, all the universities in Semnan Province are examined. The results show that the most important criteria for outsourcing in the context of Cloud Computing are Compliance, Operability and Contracting Experience respectively. Moreover, the model has identified Security Management, Ownership and Contracting Experience as the most effective criteria and Learnability, Maintainability and Recoverability as the most affected one.https://jitm.ut.ac.ir/article_53993_320db01210907d581dd75437dcdbcce4.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Opinion Mining in Persian Languageارائۀ روش نظارتی برای نظرکاوی در زبان فارسی با استفاده از لغتنامه و الگوریتم SVM3453625399510.22059/jitm.2015.53995ENSaeedehAlimardaniMSc. student in Information Technology, Faculty of Industrial Engineering, K.N.Toosi University of Technology, IranAbdollahAghaieProf., Faculty of Industrial Engineering, K.N.Toosi University of Technology, IranJournal Article20140611Rapid growth of networks and social networks results in more access to people’s opinion. These opinions contain useful information. By analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. Opinion mining is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. In this article, a method for opinion mining in Persian language is introduced that is a combination of SVM and lexicon as a set of features. The lexicon is created by using SentiWordNet. To assess the algorithm, data of hotel domain is collected. Four cases were defined and among those cases, the case in which frequency of word multiplies with its orientation got the best result. The proposed method performs better compared to other methods in Persian opinion mining.https://jitm.ut.ac.ir/article_53995_583ee6c5ce356beab8c9fa9d8e2e40e5.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Desining an Expert System for Analyzing the Energy Consumption Behavior of Employees in Organizations Using Rough Set Theoryطراحی سیستم خبره بهمنظور تحلیل رفتار مصرف انرژی کارکنان بهکمک مدلسازی راف3633845391710.22059/jitm.2015.53917ENToorajKarimiAssistance Prof., Farabi Campuse, University of Tehran, Tehran, IranJournal Article20141123Understanding and changing the energy consumption behavior requires extensive knowledge about the motives of behavior. In this research, Rough Set Theory is used to investigate the energy consumption behavior of employees in organizations. So, thirteen condition attributes and a decision attribute are selected and the decision system is created. Condition attributes include demographic, values, attitudes and organizational characteristics of employees and decision attribute relates to energy consumption behavior. 482 employees are selected randomly from 37 office buildings of ministry of Petroleum and rough modeling are performed for them. By combining different methods of discretizing, reduction algorithms and rule generating, nine models are made using ROSETTA software. The results show that four of the 13 condition attributes, involving “organizational citizenship”, “satisfaction”, “attitude toward behavior” and “lighting control” are selected as the main features of the system. After cross validation of the various models, the model of manually discretizing using genetic algorithms and ORR approach to extract reducts has the most accuracy and selected as the most reliable model.https://jitm.ut.ac.ir/article_53917_92123a5817163c9a00bf76a55c50f6d0.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Intelligent Online Store: User Behavior Analysis based Recommender Systemفروشگاه اینترنتی هوشمند: سیستم پیشنهاددهندۀ مبتنی بر تحلیل رفتار کاربران3854065388410.22059/jitm.2015.53884ENMohamadrezaKarimi AlavijeAssistant Prof., Business Management, Faculty of Management and Accounting University of Allameh Tabatabayi, Tehran, Iran.ShivaAskariMSc Student, Business Management, Faculty of Management and Accounting, Allameh Tabatabayi University, Tehran, Iran.SirvanParastehMSc, Artifiacial Intelligent, Faculty of Computer Engineering, Iran University of Science and Technology, Tehran, Iran.Journal Article20150302Recommender systems provide personalised recommendations to users, helping them find their ideal items, also play a key role in encouraging users to make their purchases through websites thus leading to the success of online stores. The collaborative filtering method is one of the most successful techniques utilized in these systems facilitating the provision of recommendations close to that of the customer's taste and need. However the proliferation of both customers and products on offer, the technique faces some issues such as "cold start" and scalability. As such in this paper a new method has been introduced in which user-based collaborative filtering is used at a base method along with a weighted clustering of users based upon demographics in order to improve the results obtained from the system. The implementation of the results of the algorithms demonstrate that the presented approach has a lower RMSE, which means that the system offers improved performance and accuracy and that the resulting recommendations are closer to the taste and preferences of the users.https://jitm.ut.ac.ir/article_53884_4a365079a618ddd9ac5aa8c933f8ce05.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Priority of Mobile Health Applications and its Infrastructuresاولویتبندی کاربردهای سلامت همراه و زیرساختهای ارتباطی آن4074285434210.22059/jitm.2015.54342ENMalek MiladLiraviMSc. Student in Information Technology Management, Electronic Campus of Islamic Azad University, Tehran, Iran.AsadollahShahbahramiAssociate Prof., Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran.Journal Article20141024Developing of mobile technologies in the field of health create a new branch of e-Health called mobile-health. The goal of this study is evaluation of communications infrastructure for mobile-health. For this purpose, fuzzy analytic hierarchy process is used for modeling and ranking the criterions and applications. Three main criteria in mobile communication network namely, data transmission, application services, and the accessing to the network were chosen. Then, sub-criteria of technological infrastructure were classified according to three main criteria using the Delphi and fuzzy Delphi techniques and thirteen applications for mobile-health was added to it as alternatives. The results show that the accessing to the mobile network has the highest weight (0.5656) and priority. The second criterion is data transmission (0.4184) and finally application services in mobile communication networks (0.0159) are the last factor. It has a large gap from other two factors. According to the obtained results, community mobilization, electronic health records of patient and patient monitoring have the highest weight 0.0981, 0.0878 and 0.0876, respectively, and these are the top priorities of mobile-health applications.https://jitm.ut.ac.ir/article_54342_de7a7d79a3eb162823a431d74639f2b2.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Challenge of successful KMSs implementation: exploration of effective factors on KM acceptance via mixed methodچالش پیاده سازی موفق سیستم های مدیریت دانش: بررسی عوامل موثر بر پذیرش مدیریت دانش در سازمان های ایرانی با رویکردی آمیخته4294505388710.22059/jitm.2015.53887ENMonaJami PourAssistance Prof., Faculty of Management, Hazrat-e-Masoumeh University, Qom, IranMohammad HosseinSherkatPhD., Faculty of Management, University of Tehran, IranJournal Article20150215Regarding strategic importance of KM, achieving to KM objectives is difficult in practice and has faced with challenges. One of the major challenges is reluctance of users in KMS acceptance and use. In this paper in order to exploitation of comprehensive model, effective factors of knowledge initiatives are extracted via mixed method in which systematic literature review along with open codding of grounded theory are applied to enrich extracted factors and identifying native factors. Finally, in order to validating developed model, number of KM experts and specialists are asked to assess the factors and collected data were analyzed with structural equation modelling (SEM). Finally, individual, organizational, competitive and technological/ informational factors are confimed as external variables on TAM.https://jitm.ut.ac.ir/article_53887_83ce073d50775e840b5f09e488c1446e.pdfUnivrsity Of Tehran PressJournal of Information Technology Management2980-79727220150622Modeling the Innovation Orientation and Market Orientation of Banks Electronic Services Using Hybrid Model of FAHP, FTOPSIS and Possibility Theoryمدلسازی نوآوری محوری و بازارمحوری خدمات الکترونیک بانکها با استفاده از مدل ترکیبی FAHP، FTOPSIS و تئوری امکان4514725386210.22059/jitm.2015.53862ENAliMohammadiAssociate Prof., Management Department, Shiraz University, Shiraz, Iran.MojtabaKhalifehPh.D. Candidate in systems Management, Management Department, Shiraz University, Shiraz, IranJournal Article20150110The purpose of this study is to consider and modeling E-Commerce variables based on FAHP, FTOPSIS and Possibility Theory to create a new approach in decision-making techniques. Thus, modeling Market Orientations and Innovation Orientation indicators as the E-Satisfaction factors and Fulfillment & Reliability, Responsiveness and Security indicators as the E-Trust factors is done for selected banks. Data collected from customers and experts via distributing questionnaires and the data were analyzed by FAHP, FTOPSIS and Possibility Theory techniques. The results show that E-Satisfaction, Innovation Orientation and Security are the important indicators in E-Loyalty and Mellat Bank takes the highest rank in covering these indicators.https://jitm.ut.ac.ir/article_53862_dd50b35b08bd7c46fe884e42409e5001.pdf