List of Articles Online Store

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  1 - Product purchasing prediction in an online store by designing an artificial neural network using clickstream data
  Mahbube Mottaghi
  One of the key capabilities of competitive online stores is the effective prediction of customer buying as much as possible to apply customer service strategies to convert users to buyers and to increase sales rates. Data mining and artificial intelligence techniques ar More

  One of the key capabilities of competitive online stores is the effective prediction of customer buying as much as possible to apply customer service strategies to convert users to buyers and to increase sales rates. Data mining and artificial intelligence techniques are successful in categorizing and forecasting. Work has been proven in timely systems, such as e-commerce sites. In this paper, we propose a non-post-error neural network model with the aim of predicting purchases at user active stages in an online store. The training and evaluation of the neural network was performed using a set of revised sessions from server logs. The accuracy and retrieval power of the proposed neural network is 8999.79% and 89.696%, which indicates the high ability of this network (about 90%) in predicting the purchase Manuscript profile
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  2 - Designing the Model to Identify and Prioritize the Satisfaction Indicators of e-business Customers in Fuzzy Environment Using BWM and TOPSIS
  Hamed Mohamadalizadeh Mohammad Javad  Ershadi Arman Sajedinejad
  Failure to properly manage limited resources can ultimately lead to failure for these businesses. These businesses play an important role in inventing new methods that lead to technological changes and increased production capacity. It can be said that such units are dr More

  Failure to properly manage limited resources can ultimately lead to failure for these businesses. These businesses play an important role in inventing new methods that lead to technological changes and increased production capacity. It can be said that such units are driven by change and competition, as they alter the overall structure of the market. The creation and development of these businesses is an important policy for creating new jobs, accelerating economic improvement, and fostering the growth of countries. Therefore, special attention should be paid to new businesses. This research aims to identify important factors by examining different models of customer satisfaction as well as theses and papers in this field. By presenting an indigenous model, the research first uses the best-worst fuzzy method to weight the e-business customer satisfaction factors. Then, using a fuzzy TOPSIS technique, it examines one category of e-business, namely online stores, and ranks them in terms of customer satisfaction criteria. The results show that this model, with high computational efficiency and compatibility, highlights the priority of customer satisfaction factors. Additionally, communication and interaction criteria were ranked as the most important, followed by product and service quality, price/time, and sales and after-sales service. Interactions, value/time benchmarking, quality benchmarking, and ultimately sales and after-sales service warranty were identified as the best sub-criteria. Manuscript profile
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  3 - A framework for architecture the electronic trust in e-commerce:online shopping segment
  amir Mohtarami Akbar amini
  Today, e-commerce is rapidly expanding as a way of doing business in the modern world due to its advantages and benefits. The purpose of this study is to extract dimensions and criteria for providing electronic trust arrangements in B2C services, improving the internal More

  Today, e-commerce is rapidly expanding as a way of doing business in the modern world due to its advantages and benefits. The purpose of this study is to extract dimensions and criteria for providing electronic trust arrangements in B2C services, improving the internal processes of the business environment, and also determining the importance and priority of each criterion to ensure electronic trust in order to gain the trust and satisfaction of the customer. A mixed method of research is employed includes: litrature review, field study and opinion gathering alongside of statistical techniques. The statistical population includes all expert customers of online stores in the city of Tehran, among which random sampling has been done. Questions in the context of the electronic trust and provision of e-business services and their priority in relation to each other, are discussed through inferential statistics. The results of the data analysis show that there is a meaningful relationship between the 12 criteria identified and customer's trust. The results obtained in the context of the conceptual framework show the impact of three dimensions of psychological, technical and legal, according to the criteria and indicators of electronic trust Manuscript profile