As the largest online retailer, Amazon has a huge product base and community of reviewers. A lot of work has been done to determine reviewer communities [6], examine the user reviews of products to model opinion evaluation [7], study how information cascades contribute to opinion formation [6] and study product communities to improve recommendation engines. In this paper, we explore how we can ...

The use and benefits of online reviews are undeniable, yet the interaction means available for buyers when consulting reviews remain limited. This study aims to provide a better understanding of the role and use of online reviews, presenting a set of design ideas for designing user interfaces that better support online buyers in consulting reviews. Drawing on interviews with active online revie...

The “helpfulness” feature of online user reviews helps consumers cope with information overloads and facilitates decision making. However, many online user reviews lack sufficient helpfulness votes for other users to evaluate their true helpfulness level. This study empirically examines the impact of the various features, that is, basic, stylistic, and semantic, of online user reviews on the nu...

although many scholars had proposed lots research results about online shopping, they are quite vague and hard for enterprisers to practice it. hence, this research observes the online store policies, services, functions, and activities among 17 online shopping platforms in taiwan, china, and hong kong. and, this research (1) finds online stores assessment items by literature review; (2) establ...

Online reviews are a dominant resource for consumer. Extant research on online review generation has primarily focused on the valence of online review, the volume of online review however remains largely unexamined. This study examines the peer effect on content production. Using a unique data set, we track and measure peer effect at message level. We find that peer effect does exist and it is ...

This study examines how social network integration (i.e., integration of online platforms with other social media services, for example, with Facebook or Twitter) can affect the characteristics of user-generated content (volume and linguistic features) in the context of online reviews. Building on the social presence theory, we propose a number of hypotheses on how social network integration af...

Online shopping often requires consumers to choose among multiple products without detailed information about the quality. Herding is common in situations where consumers infer product quality from other consumers’ choices and incorporate that information into their own decision-making process. The Internet affects the herding phenomenon in two ways. On the one hand, it provides more informatio...

Due to the advancement in information technology and boom of micro-blogging platforms, a growing number online reviews are posted daily on product distributed platforms form spontaneous insightful user feedback, these can be used as significant data source understand experience (UX) satisfaction. However, despite vast amount reviews, existing literature focuses ratings ignores real textual cont...

The increasing use of web 2.0 applications has generated numerous online user reviews. Prior studies have revealed the influence of user-generated reviews on the sales of products such as CDs, books, and movies. However, the influence of online user-generated reviews in the tourism industry is still largely unknown both to tourism researchers and practitioners. To bridge this knowledge gap in t...

Long term video electro-encephalographic (EEG) monitoring (LTM) is defined as the continuous and synchronized recording of EEG and multimedia to analyze brain abnormalities. A conventional LTM system continuously records EEG in the frequency range of 0.5-70Hz. The data synchronization, the high-volume data management, the system reliability as well as noise reduction remain significant challeng...