2024-03-28T20:04:28Z
https://jitm.ut.ac.ir/?_action=export&rf=summon&issue=6791
Journal of Information Technology Management
JITM
2014
6
1
Mining customer dynamics in designing customer segmentation using data mining techniques
lham
Akhondzadeh-Noughabi
Amir
Albadvi
Mohammad
Aghdasi
One of the main problems in dynamic customer segmentation is finding the dominant patterns of customer movements between different segments via time. Accordingly, we concentrate on the customer dynamics in this paper and try to find different groups of customers in transmissions between segments via time. The dominant characteristics of these groups are also investigated. To obtain this objective, a new hybrid technique based on the K-means algorithm, hierarchical clustering and association rule mining is presented and implemented on the data of one of the main telecommunication corporations in Iran. The results show that there are seven different groups of customers. Furthermore, the impact of customer dynamics on segments’ changes via time is investigated. In this regard, a new approach of categorizing customers is proposed according to their impact on the structure and the content of segments’ changes. These new groups include “the customers who preserve the structure”, “the ones who are consistent with the structure” and “the customers who destroy the structure”.
Dynamic customer segmentation
Data Mining
Clustering
Telecommunication industry
2014
03
21
1
30
https://jitm.ut.ac.ir/article_50048_28d37fd4ed051a4a8d7b05682e2c9b95.pdf
Journal of Information Technology Management
JITM
2014
6
1
Hybrid credit scoring model using genetic algorithms and fuzzy expert systems Case study: Ghavvamin financial and credit institution
MohammadTaghi
Taghavifard
Fariba
Hosseini
Mohammad
Khanbabaei
expert systems can help to build banks customers' credit scoring models. Here, selection of key features of the credit scoring is important. Also, it is possible to express the features values as fuzzy. The problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. This paper presents a hybrid credit scoring model with combination of features selection based on genetic algorithm and fuzzy expert system. The research conducted at the entry, in terms of result and objective is applied and descriptive research as case study, respectively. Ghavvamin financial and credit institution credit scoring date set is used to train and test the model. After data preprocessing, features selection is carried out using genetic algorithm. The range of selected features is determined by interview with an expert and via fuzzy logic and then credit scoring fuzzy rules can be generated. WEKA tool and fuzzy inference system (FIS) in MATLAB are used for data analysis. Results demonestare classification accouracy of the proposed model is more than the other compared methods in this paper. Fuzzy rules created by this model can be used for credit scoring of bank customers.
Expert system
Credit scoring
Genetic Algorithm
Fuzzy logic
2014
03
21
31
46
https://jitm.ut.ac.ir/article_50049_6c0dc2fb91039e4587061136be41210c.pdf
Journal of Information Technology Management
JITM
2014
6
1
Investigating the impact of Organizational Structure on ERP post-implementation success, a study on Iranian Firms
Amir
Khanlari
Omid
Kafaee
Today, many organizations plan to implement and exploit ERP system due to its numerous benefits. Despite these advantages, many adopting organizations have failed to achieve their intended goals through utilizing ERP system. Among other factors, organizational characteristics have been proposed as one of the effective factors which can influence ERP success in both implementation and post-implementation stages. This study examines the impact of Organizational Structure as a potential factor on ERP post-implementation success in Iranian adopting organizations. A research model is developed to test fifteen hypothesized relations among the variables. Data is gathered from every adopting organization using a standard questionnaire. Then, Structural Equation Modelling (SEM) Method and Partial Least Squares (PLS) Algorithm are used for data analysis. The findings confirm the impact of Organizational Structure on ERP post-implementation success and indicate how Structural Dimensions affect ERP success facets.
Enterprise Resource Planning (ERP)
Organizational structure
Post-implementation Success
Partial Least Squares (PLS) Algorithm
2014
03
21
47
70
https://jitm.ut.ac.ir/article_50050_a441339e8276181798cf67ebd7739f85.pdf
Journal of Information Technology Management
JITM
2014
6
1
Classification of Internet banking customers using data mining algorithms
Reza
Radfar
Navid
Nezafati
Saeid
Yousefi Asli
Classifying customers using data mining algorithms, enables banks to keep old customers loyality while attracting new ones. Using decision tree as a data mining technique, we can optimize customer classification provided that the appropriate decision tree is selected. In this article we have presented an appropriate model to classify customers who use internet banking service. The model is developed based on CRISP-DM standard and we have used real data of Sina bank’s Internet bank. In compare to other decision trees, ours is based on both optimization and accuracy factors that recognizes new potential internet banking customers using a three level classification, which is low/medium and high. This is a practical, documentary-based research. Mining customer rules enables managers to make policies based on found out patterns in order to have a better perception of what customers really desire.
Data Mining
Decision Tree
Classification
E-Banking
2014
03
21
71
90
https://jitm.ut.ac.ir/article_50051_267cbcc51cdf0588c44d046e3d143039.pdf
Journal of Information Technology Management
JITM
2014
6
1
Developing a model for explaining effective factors on trust in electronic banking; a survey in Bank Melli of Urmia
Jamshid
Salar
Abolghasem
Ebrahimi
Trust is one of the most important factors for the development of electronic banking. The purpose of this study is to determine effective factors on trust in e-banking in the form of a conceptual model. Due to the rapid growth of electronic banking in the country, identify factors affecting trust in e-banking is very important. Population of this study is customers of Bank Melli in Urmia. We used structural equation modeling with Lisrel 8.80 for testing hypotheses. Results show that independent variables include familiarity with electronic banking, tendency to trust, structural confidence and reputation effect on trust creator beliefs and trust creator beliefs effects on trust. Therefore, trust creator beliefs play a mediating effect in relation between independent and dependent variables. Results of this research can be used by public and private banks` top management.
Electronic banking
trust
tendency to trust
trust creator beliefs
2014
03
21
91
106
https://jitm.ut.ac.ir/article_50052_478c4476aa1a9cf949865466b59f875f.pdf
Journal of Information Technology Management
JITM
2014
6
1
A compound model of Islamic Azad University academic member’s intent to knowledge sharing with the approach of perceptual factors (Survey around North Branch of Tehran and Science and Researches Campus)
Zahra
Alipour Darvishi
This paper aims to determine the perceptual factors affecting the faculty member’s knowledge sharing intention. This research has been set within the frame of Planned Behavior Theory and has been combined of the two prediction behavior models. Knowledge sharing intent is the dependent variable of model, mediator variables are including: attitudes, subjective norms and perceived behavioral control and independent variables are including: perceived relative advantage, trust in management, perceived organizational support, fear of loosing one’s unique value, perceived environmental dynamism, perceived supervisor control. This survey research was implemented within North Branch of Tehran and Science and Researches Campus including 148 stratified random samples of the faculty members. The statistical analysis of the model has been done through structural equation model with PLS software’s. All of hypothesis was confirmed and the power of model prediction for knowledge sharing intention is R ² =0.579. In order to promote of higher education development indexes, this survey results can be applied to systematic planning of encouraging academic members knowledge sharing.
“Individual level of knowledge sharing”
“Knowledge sharing intent”
“Planned Behavior Theory
Perceptual factors”
2014
03
21
107
126
https://jitm.ut.ac.ir/article_50053_9753c81a40b244f5f52ecc2c804f2684.pdf
Journal of Information Technology Management
JITM
2014
6
1
Investigating the factors effective on the acquaintance with and use of Information and Communication Technology (ICT) in organizational responsibilities of the faculty members of the College of Agriculture and Natural Resources, University of Tehran
Yeganeh
Madadi
Hooshang
Iravani
Yaser
Mohammadi
Nowadays it is very unlikely to come across an organization in which Information and Communication Technology is not discussed and hasn't become one of the apprehensions of the organizational managers.To insure an effective competitive edge in educational organizations, universities from all across the world must consistently improve their Information and Communication Technology.The purpose of this research was to investigate the amount of knowledge and use of Information and Communication Technology by employees. Information gathering was done by developing a questionnaire. The population of interest consisted of all the faculty members of the College of Agriculture and Natural Resources, University of Tehran, and a random group of 124 members were selected for statistical analysis. The validity of the questionnaire was approved by the statistics professionals and the foundation of it was approved by calculating the Cronbach’s alpha to 0/95.The results show that the degree of ICT use is directly and positively proportional to the educational degrees and academic ranking, and negatively proportional to work experience, and showed no correlation to age.The results of mean analysis showed a difference between the amount of usage of and familiarity with ICT between men and women and the variance analysis results showed that the amount of familiarity with and usage of ICT is different between different levels of education, academic ranks and different types of employment. Finally the results of regression analysis showed that the three variables of level of education, type of employment and age had a meaningful effect on the dependent variable of amount of familiarity with ICT, and the three variables of familiarity, type of employment and gender had a meaningful effect on the dependent variable of amount of usage of ICT. In general increasing the amount of familiarity with ICT is the most important factor effecting organization usage.
Knowledge
Information and communication technology
Usage
Universities
2014
03
21
127
144
https://jitm.ut.ac.ir/article_50054_ee52a95cac7fda77e953b27f5ea46e4f.pdf
Journal of Information Technology Management
JITM
2014
6
1
Evaluation of influential factors on development of E-commerce: Case of Tehran SMEs
Abbas
Monavvarian
Amir
Manian
Masoud
Movahedi
Mohsen
Akbari
Abstract: This paper investigates the factors accelerating SMEs' adoption of e-commerce. Initially we proposed a model that included three categories of factors including external environmental factors, internal environmental factors and technology specifications. In addition, we proposed ecommerce adoption stages in two levels of early adoption and institutionalization. Based on surveying 304 SMEs we tested the proposed model and concluded that the external environmental factors can be divided by two main categories of remote environmental factors and industry level factors. The relations between criteria and latent variables are discussed and explained.
"E-commerce"
"SMEs"
"Acceptance model in E-commerce of SMEs"
"E-c models"
2014
03
21
145
160
https://jitm.ut.ac.ir/article_50055_4c32268de704eb52c83cd7f99d769895.pdf