منابع مشابه
Does Customer Membership Level Affect Online Reviews? A Study of Online Reviews from 360buy.Com in China
More and more shopping sites implement membership level management strategies and provide customers with not only online review communities but also incentives to promote them to post their online reviews. However, whether these measures affect the results of online reviews and how they influence have not been studied yet. Based on the social exchange theory, we collect data of online reviews a...
متن کاملLexical Based Semantic Orientation of Online Customer Reviews and Blogs
Rapid increase in internet users along with growing power of online review sites and social media has given birth to sentiment analysis or opinion mining, which aims at determining what other people think and comment. Sentiments or Opinions contain public generated content about products, services, policies and politics. People are usually interested to seek positive and negative opinions conta...
متن کاملUnderstanding the Value of Online Customer Reviews: The Channel Perspective
The growing popularity of user-generated contents in the electronic commerce industry has allowed online customer reviews (OCRs) to play an increasingly important role in the customer decision-making process. The influences of OCRs have been studied extensively by academic researchers and industry practitioners from the customer side, whereas this study provides a complementary analysis of the ...
متن کاملThe Perception of Usefulness: Iranian Customers’ Evaluation of Customer Reviews
Over the last decade, the retail industry has had a phenomenal growth. All figures show their success and efficiency and many studies have shown the role of customer reviews in encouraging ambivalent purchasers to buy items online. There have been numerous studies on why people read and trust these comments and taking for granted the important role of customer reviews in determining buying deci...
متن کاملIdentifying Types of Claims in Online Customer Reviews
In this paper we present a novel approach to categorizing comments in online reviews as either a qualified claim or a bald claim. We argue that this distinction is important based on a study of customer behavior in making purchasing decisions using online reviews. We present results of a supervised algorithm for learning this distinction. The two types of claims are expressed differently in lan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Business & Economics Research (JBER)
سال: 2011
ISSN: 2157-8893,1542-4448
DOI: 10.19030/jber.v2i10.2925