Paper Information

Journal:   JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION)   FALL 2017 , Volume 12 , Number 1 #P0064; Page(s) 39 To 51.
 
Paper: 

IDENTIFYING AND PRIORITIZING SUCCESSFUL E-BUSINESS MODELS OF IRANIAN DOT-COMS BY USING MACHINE LEARNING TECHNIQUES

 
 
Author(s):  VAKILI SADEGHI MASOOMEH, NOORI ROOHALLAH*, EBADATI OMIDMAHDI
 
* INFORMATION TECHNOLOGY MANAGEMENT DEPARTMENT, MANAGEMENT FACULTY, KHARAZMI UNIVERSITY, TEHRAN, IRAN
 
Abstract: 

Today, business, economics and society have been transformed by information technology. Many traditional ways of earning money have evolved and new methods and values have come to the fore. In this regard, studying the e-business system in today's complex and turbulent world is essential. Despite the fact that some businesses succeed in their field of work, there are many businesses that fail, because of selecting inappropriate business model. So, this study has been done to identify successful e-business models using machine learning techniques. Quantitative survey was used to carry out the study. 105 businesses with an eTrust were selected to find the best successful electronic business model. The data collection instrument was a questionnaire. Analyzing the collected data shows that the best business models for the success of businesses in Iran, are e-shop model and the advertising model. The results of the k-means algorithm and ID3 show that from 12 criteria considered in choosing the best model for success, two criteria including the development of IT tools and company strategy, have the most important role in the success of trusted businesses.

 
Keyword(s): E-BUSINESS MODEL, MACHINE LEARNING, E-TRUST, E-SHOP, DEVELOPMENT OF IT TOOLS
 
References: 
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