2024-03-28T21:58:31Z
https://jitm.ut.ac.ir/?_action=export&rf=summon&issue=8177
Journal of Information Technology Management
JITM
2017
9
2
A Model for Quality Assurance on Acquisition and Registration, Processing, and Dissemination of Theses and Dissertations Systems
Mohammad Javad
Ershadi
Roozbeh
Aiassi
Developments of recent decades shows that for reducing the financial and opportunities costs as well as increasing productivity, it is necessary to improve the quality of components and systems in organization. Information systems based on these rules should be considered and for improving their productivity, user’s satisfaction and effectiveness it is necessary to quality aspects of these systems are considered too. In this research a quality assurance system is developed to all parts of an information system from data gathering, data entry to indexing and dissemination of information for assuring of quality are included. This model based on continual improvement approach of Deming cycle will change all of its systems and processes so that each development in the system with considering current standards and quality guidelines are done
data management
quality assurance
quality control
quality
research information systems
2017
06
01
167
190
https://jitm.ut.ac.ir/article_61416_625841e233f73ff528e719b9f0272454.pdf
Journal of Information Technology Management
JITM
2017
9
2
A Model for Investigation of the Intensity of
Trust Relationships' Strength among
Users in Social Media
Rojiar
Pir Mohammadiani
Shahriar
Mohammadi
Although trust relations among users in social media are the evidence of social influence, but the level of this impact depends on strength of trust among users. Therefore, in this paper we study the effect of trust relationships’ strength among users through the development of matrix factorization method. Matrix factorization is a method to predict the rate that user assign to the products. For this purpose, based on similarity factors the strength of trust relationship is measured, then this feature as an effective parameter was added to matrix factorization. The proposed model is applied on Epinions data set. The weight of trust relationships’ strength parameter is determined through the proposed model. Based on the results, by adding the strength of trust relationship the error rate is reduced. Furthermore, if the strength of trust between users is larger than 0.8, the error reduction will be more significant. Improving the results through more accurate estimation shows that this effect is set correctly.
Matrix factorization
Social Influence
Social media
Trust relationships' strength
2017
06
01
191
216
https://jitm.ut.ac.ir/article_61152_d30f3f9640314049e3fb860e7184f7be.pdf
Journal of Information Technology Management
JITM
2017
9
2
Applying Rough Set Theory and Grey Theory in Multi-attribute Decision Making Methods for the Evaluation and Selection of ERP Systems
Mohammad
Sabet Motlagh
Seyed Ali
Ayazi
Enterprise resource planning systems by facilitation and integration of organizations’ operations as well as leveraging the organization's operations and business activities has become an important competitive advantage for organizations. Although the appropriate choose of an ERP system can greatly contribute to the success of the organization, inappropriate selection of ERP also can lead to irreparable damages and costs. Therefore, in this study we have tried to use a multi-attribute decision-making model to evaluate and select the most appropriate ERP system. Since decision makers turn to “uncertain preferences” to evaluate the criteria and alternatives, applying Rough Set and the Gray Set theories in the context of multi-attribute decision-making models seems more logical and consistent. The findings indicate that the “total cost” a sub-criteria of product characteristics and “system technical capabilities” a sub-criteria of system requirements are the most significant criteria and the “A6” is the most significant alternative.
Enterprise resource planning
Gray Analytic Hierarchy Process
Gray Vikor
Grey set theory
Rough Set Theory
2017
06
01
217
236
https://jitm.ut.ac.ir/article_61419_6b4cb56ca140852845edbbfd3e388edb.pdf
Journal of Information Technology Management
JITM
2017
9
2
Exploring and Prioritizing Factors Influencing Viral Marketing in the Context of Mobile Application
Nastaran
Hajiheidari
Amir
Khanlari
Hamid Reza
Reyhani
Viral marketing, relying on word of mouth principle is an advertising or a way to publish it on the Internet or mobile networks. The main objective of this article is to explore and prioritize important factors affecting viral marketing in the context of mobile applications. Meta-synthesis technique was used to explore the important factors affecting viral marketing and then using Fuzzy Delphi to determine the significance of the factors. The population of this study in the quantitative section was experts working in the field of viral marketing in the mobile application industry who have been selected by snowball sampling method. In the meantime, 30 experts were selected. The results of meta-synthesis method showed 26 important factors. By using Fuzzy Delphi, 12 factors including speed of message, attractiveness of message, ability to communicate with the product, morality, reliability of the source or validity, personality of the recipient, motivations of people, emotions of people, culture, brand reputation, brand strength as well as brand image were the most important factors
social networks
Viral advertising
Viral marketing
Word of mouth advertising
2017
06
01
237
252
https://jitm.ut.ac.ir/article_61420_398744ef0e7a0d032219e89c918242c1.pdf
Journal of Information Technology Management
JITM
2017
9
2
Identifying Qualitative Factors Affecting the Production and Distribution of Information
and Knowledge in Science and
Technology Parks of Iran
Ali
Haji Shamsaei
Fatemeh
Nooshinfard
Fahimeh
Babalhavaeji
This study was conducted in order to identity Qualitative factors affecting the production and distribution of information and knowledge in science and technology parks of Iran. The research was Applied Research in which, qualitative method was carried out. The population of the study was included of 10 managers of Knowledge-based Companies. The data was collected from the population using semi-structured and in-depth interviews. For data analysis, content analysis was used. Results of the qualitative factors affecting the production and distribution of information and knowledge in science and technology parks of Iran, led to extraction of 39 components which were classified in four categories: I) Foreign and domestic policy, II) Financial and economic support, III) Infrastructure barriers and IV) Cultural barriers. Results howed that overcoming the political, financial and economic, infrastructural and cultural barriers has undeniable impact on production and distribution of information and knowledge.
distribution information and knowledge
Iran
production of information and knowledge
Science & Technology Parks
2017
06
01
253
276
https://jitm.ut.ac.ir/article_61418_0a67da69ad9d2b33026f07dcec4a0ee9.pdf
Journal of Information Technology Management
JITM
2017
9
2
Providing a New Approach for Segmenting Customers Based on Their Purchasing Behavior Change over Time in Electronic Business
Samira
KHodabandehlou
Mahmoud
Zivari Rahman
Usual methods of segmentation have been designed, relying solely on the components of Recency (R), Frequency (F) and Monetary (M) in which customers’ behavior changes over time are not considered. Accordingly, in order to achieve a desired segmentation method, this study aims to apply a set of statistical calculations, such as line slope and the derivative with respect to time and data mining methods such as K-means and Self-Organizing Maps (SOM) to define new parameters for studying the changes trending of customer purchasing behavior. The results show that considering the slope of the line of customer behavior changes (R, F, and M) and the higher value for recent behaviors of customers compared to that of their past behavior in customer segmentation would thereby increase the accuracy of predicting the future behavior and cause the customers of each section to become more homogeneous. Based on the suggested method, customers are categorized into four segments: best, spender, repeater and missed ones each of them are divided into two subcategories of ascending and descending segments, which leads to better and more accurate understanding of customers in different segments according to how of their purchasing behavior change. Finally, the characteristics of each segments and sub-segments are described and appropriate strategies are provided for managing its customers.
customer segmentation
Data Mining
purchasing behavior change
RFM Model
2017
06
01
277
300
https://jitm.ut.ac.ir/article_61417_aa6a97bcebc47212311630561e9b4db6.pdf
Journal of Information Technology Management
JITM
2017
9
2
Designing a Model Based on Cumulative Citation to Identify and Analyze Scientific Changes
in the Field of Data Quality
Ahmad
khalilijafarabad
Amir
Manian
Mohammad
Fathian
Nader
Naghshineh
Identification and tracking scientific changes is critical for scientific policy makers. This research proposed a model for identification and tracking changes in Data Quality research area. We used cumulative citation network in order to find research communities and their changes during the time. The proposed model can be applied in other scientific disciplines. It can also shows all types of scientific changes including birth, growth, merging and death. In order to verify the model in Data Quality area, we selected all papers that is published between 1970 and 2009 that covers more than 7000 papers. It is shown that Data Quality research area is studied in different disciplines. According to the results, there is 82 percent correlation between number of citations and the growth of Data Quality communities that shows the importance of citation for community survival and growth.
Citation network
Data quality
Science tracking
Scientometrics
2017
06
01
301
312
https://jitm.ut.ac.ir/article_61941_8547a8a3b54e2a4934cd7601662b9057.pdf
Journal of Information Technology Management
JITM
2017
9
2
The Effect of Cooperation in IT Industry on Innovation Performance in Condition of Implementing Coopetition Strategy
Morteza
Soltani
Seyed Mohammadbagher
Jafari
Razieh
Binandeh
In today's business environment companies are facing pressure to innovate and create new knowledge, that these issues have forced them to spend large sums on research and development, involving in high-risk investments, finding exclusive sources and even look for high-tech products with short life cycle. Coopetition strategy (competition and cooperation simultaneously) for companies that are seeking to innovate in order to compete in today's global market, is an essential strategy and provide many innovation opportunities for firms. In this study, the effects of collaboration in IT industry on innovation performance has been investigated in the implementation of the coopetition strategy. This study, is an applied research in terms of purpose, a descriptive survey in terms of data gathering and a correlational study considering relations between variables. The study population consists of Iranian companies operating in IT industry. Data were collected from 180 companies. The hypotheses were tested using structural equation modeling via WARP PLS3. The results showed that coopetition strategy and cooperation in industry has an impact on innovation performance. Also, coopetition strategy moderate the relationship between the cooperation in industry and innovation performance.
Coopetition
Cooperation
Competition
Innovation performance
IT industry
2017
06
01
313
332
https://jitm.ut.ac.ir/article_60717_4351d66c3e8b48d02b4d297b13b5c5ce.pdf
Journal of Information Technology Management
JITM
2017
9
2
Netnography based on Incomplete Information:
A New Approach in Analysis of Internet
Users' Comments
Reza
sheikh
Hanieh
shambayati
Golale
vakili
Netnograghy as a new approach in social networks and Internet communications analyzes customers' suggestions and opinions in the form of comments. Making use utilization of quantitative techniques in order to analyze, detect the meaning and recognize the signals of mainly incomplete opinions of customers is vital for managers. In this paper, firstly by the aid of grounded theory method, the meaning and important criterions of user comments in mobile shopping sites have been recognized and then these criterions have been graded based on decision making by experts and fuzzy preference relations with incomplete information. Analyze of users' comments proved six parameters: price, beauty, process speed, screen quality, battery as well as camera are significant, and among them, based on fuzzy relations with incomplete approach, beauty with value of 0.27563 is of utmost importance for users
Ethnography
Incomplete information
Internet users
Netnography
2017
06
01
333
354
https://jitm.ut.ac.ir/article_61064_9006c860feb9e1da4bc5d745d5a06854.pdf
Journal of Information Technology Management
JITM
2017
9
2
Fuzzy Group Decision Making Model for Identifying and Ranking of Success Factors in Fraud Prevention in Iranian E-banking
Alireza
Alizadeh
Mehri
Chehrehpak
With increasing use of e-banking system in Iranian banking sector, ignoring the issue of fraud in the system will be very costly for banks and e-banking customers. Fraud in e-banking is due to some security problems (such as weakness in access control systems and inadequate internal control). So, identifying success factor in fraud prevention in e-banking can be useful for e-banking system developers to improve these systems security. In this paper we have tried to identify and rank these success factors for fraud prevention in e-banking systems. For this purpose, we first review the literature to find potential factors, then identified factors were weighted by using fuzzy group multi criteria decision-making model and experts' judgment. The results show that for elimination fraud in e-banking systems it is necessary to pay attention to technical, operational, strategic and financial factors respectively
Analytical Hierarchy Process (AHP)
Electronic banking
Fraud
Fuzzy Group Decision Making
security
2017
06
01
355
378
https://jitm.ut.ac.ir/article_61463_4762716746b75fdc57c3c99c65de71fd.pdf
Journal of Information Technology Management
JITM
2017
9
2
IT Security Management Implementation Model in Iranian Bank Industry
Mona
Vanaki
Mohammad Reza
Taghva
Mohammad Taghi
Taghavifard
Kamran
Feizi ‎
According to the complexity and differences between Iranian banks and other developed countries the appropriate actions to implement effective security management of information technology have not been taken. The aim of this study was to create a powerful model by selecting the appropriate security controls to protect information assets in the bank. In this model, at first the principle set fort in ISO standard 27001, was extracted and then by further studies derived from best practices carried out in the world on the related subject from 2008 to 2016 using a qualitative descriptive method), points comply with information security management in the banking industry were added to it. With the study of Iranian banks in dealing with IT security management system and with help of action research tools, provisions which prevent the actual implementation of this standard was removed and finally a conceptual model with operating instructions and considering all the principles of information security management standard, as well as banking institutions focusing on the characteristics of Iran was proposed.
Asset
Banking
Information security management system certification
ISO 27001 standard
2017
06
01
379
404
https://jitm.ut.ac.ir/article_61097_20510e98dff691252c1fe57e2ee4e36f.pdf