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Studying the Role of the Effective Factors on Information Satisfaction, on Online Consumer Purchase behavior in Iran
, M.Sc. Thesis Sharif University of Technology ; Najmi, Manoochehr (Supervisor)
Abstract
The purpose of this study is to investigate the role of the effective factors on information satisfaction on customer online shopping behavior in Iran. In this regard, by reviewing the concepts of online shopping, customer behavior and information quality, using regression and structural equation modeling, we examined the role of the effective factors on information satisfaction on customer online shopping behavior in Iran. The statistical population of this study consisted of DJ's customers, their number is estimated to be unlimited, and the sample size was determined using Morgan Krjesy's table to determine the sample size of 384 people who were selected using simple random sampling. A...
Evaluation of "brand image" Impact on Purchase Intention while Shopping for Cellular Phones in an Online Setting. A study
, M.Sc. Thesis Sharif University of Technology ; Sheikhzadeh, Mehdi (Supervisor) ; Ekhlasi, Amir (Supervisor)
Abstract
Marketing channels are a set of organizations which because of having access to target market and communication with consumers play an effective role in consumer buying process and offering goods and services.The main purpose of this thesis is to investigate consumer buying process in online stores, as a marketing channel. In order to meet the objective and investigate customer’s attitude, the focus is on brand image whose three main components are: store brand image, product brand image, and product specifications. The three components collectively influence customer purchase intention. To have a holistic understanding of purchase process, the value of transaction is defined as a mediator...
Extraction and Analysis of Product Aspects of Online Stores Based on Customers' Reviews Using Machine Learning Techniques
, M.Sc. Thesis Sharif University of Technology ; Habibi, Moslem (Supervisor) ; Fazli, Mohammad Amin (Supervisor)
Abstract
Today, with the popularity of online shopping, many business owners are interested in launching online stores. Recording opinions and using the opinions of customers and buyers of products provides the possibility of listening to the opinions of customers in the design and improvement of products. On the other hand, other users and those who intend to buy a specific product, after paying attention to the features and aspects of the product they want, refer to the section of customer views and opinions. The user also reads these comments among thousands of different sentences and words written with different opinions and suggests; It gets confusing and many users won't be able to make the...
Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings
, Article PeerJ Computer Science ; Volume 7 , 2021 , Pages 1-22 ; 23765992 (ISSN) ; Yazdinejad, M ; Guo, Y ; Sharif University of Technology
PeerJ Inc
2021
Abstract
Sentiment analysis plays a key role in companies, especially stores, and increasing the accuracy in determining customers’ opinions about products assists to maintain their competitive conditions. We intend to analyze the users’ opinions on the website of the most immense online store in Iran; Digikala. However, the Persian language is unstructured which makes the pre-processing stage very difficult and it is the main problem of sentiment analysis in Persian. What exacerbates this problem is the lack of available libraries for Persian pre-processing, while most libraries focus on English. To tackle this, approximately 3 million reviews were gathered in Persian from the Digikala website using...
Analyzing Customers' Reviews in Online Businesses and their Impact on Product Sales
, M.Sc. Thesis Sharif University of Technology ; Majid, Rafiee (Supervisor)
Abstract
In recent years, the attention of marketing researchers has shifted from numerical product rating to user-generated content. Because of this, customers' online reviews now play a very important role in the destiny of Internet businesses. Today, huge and comprehensive platforms have been developed to record and analyze online customer reviews. This type of unstructured data that users and Internet shoppers create based on their experiences of using products and services, has a significant impact on gaining and losing the trust of other users. After reading each review, each user can express their opinion about the usefulness of that comment, which can be seen by others. Large Internet...