Showing papers in "Electronic Commerce Research and Applications in 2013"

TL;DR: The findings indicate that, for any social commerce website, it is critical to achieve a minimum set of social commerce design features, which must cover all the layers of the proposed model, including the individual, conversation, community and commerce levels.

TL;DR: The results show that the mere implementation of gamification mechanisms does not automatically lead to significant increases in use activity in the studied utilitarian service, however, those users who actively monitored their own badges and those of others in the study showed increased user activity.

TL;DR: A research framework with an integrated view of social commerce that consists of four key components: business, technology, people, and information is proposed and helps to understand the development of social Commerce research and practice to date.

TL;DR: The results support the validity of the S-O-R model in the context of online impulse-buying behavior and show a significant positive effect of two dimensions of virtual atmospheric cues (design and navigation).

TL;DR: This study distinguishes between consumers’ hedonic and utilitarian motivations for using company-hosted Facebook pages and relates them to two types of community usage behavior: browsing and participation.

TL;DR: It is found that the product information and recommendations provided by friends with whom consumers have strong ties are perceived as having a high level of diagnosticity, which increases the probability that the consumers will purchase the product in question.

TL;DR: In this article, a conceptual framework was developed to capture three emphases of e-commerce: transactional, relational and social, and the authors used the framework to conduct an historical analysis of the actual website screen captures for five top ecommerce companies since their websites were established.

TL;DR: A new feature and opinion extraction method based on the characteristics of online reviews to extract effectively the opinion of the user from a customer review written in Chinese is proposed.

TL;DR: Overall and as predicted, users in low uncertainty avoidance, high institutional trust and social capital countries such as Canada and the USA have the most favorable perceptions of website design.

TL;DR: It is shown that distance-to-store has more influence on the likelihood of online purchase in situations involving search goods, while social variables are found to play a role only in the context of high-involvement goods.

TL;DR: This article uses Taobao as an example and proposes a dynamic time decay trust model that aims to deter trust fraud by raising its cost and promote the growth of small and medium-sized sellers and yields a practical approach to online trust management.

TL;DR: The strategic implications and policy directions that may be able to overcome the shortcomings of current business model, and help the industry to achieve more sustainable development are discussed.

TL;DR: A new approach named the quality evaluation model (QuEM), which includes fuzzy set theory, the decision-making trial and evaluation laboratory method (DEMATEL), and generalized Choquet integral techniques, is proposed, which is applied for the evaluation of the quality of the most used shopping websites in Turkey.

TL;DR: The impact of online reviews on product sales in the Chinese context is investigated, and it is shown that directly copying the ideas of successful online review systems in the USA will deteriorate the effectiveness of the systems in China.

TL;DR: Virtual product experience had a direct positive effect on consumer purchase intentions, suggesting that virtual product experience-focused tools have the potential to outperform passive videos.

TL;DR: StereoTrust as mentioned in this paper is a computational trust model inspired by stereotypes as used in real-life, in which an agent derives its trust by aggregating stereotypes matching the stranger's profile, since stereotypes are formed locally, recommendations stem from the trustor's own personal experiences and perspective.

TL;DR: An analysis of 283 samples with continuous self-disclosure experiences in journal-type blogs shows that personal factors, specifically the habit of self- Disclosure, are the major factors affecting bloggers' continuousSelf-Disclosure, followed by self-benefits.

TL;DR: The significant and positive interactions between the retention bonus and the consumption increments in one of the calling plans suggest, to a certain degree, that the consumption variables moderate the relationships between the bonuses and the relative ARPU.

TL;DR: One of the major findings suggests that auctions induce concession-making that is more likely to lead to Pareto-optimal agreements and that greater transparency in negotiations is likely toLead to better agreements.

TL;DR: Wang et al. as discussed by the authors explored the diffusion process and examined mass media communication (MMC) and interpersonal communication (IPC) during different periods of the group-buying process and found that MMC and IPC at the start of the process can positively affect the sales, while it leads to fewer sales during the ending period in fixed-price group buying.

TL;DR: Using a sample of 150 ERP and e-business adopters in the US, it is found that organizational resources such as managerial skills and organizational change management play a more important role than IT resources (ERP, e-Business technologies) in generating business integration capability.

TL;DR: This paper examines means of optimizing the number of advisors that should be maintained in the social network when a social network of advisors is employed as part of the trust modeling, and proposes three improvements directly relating to the limit of advisor network size.

TL;DR: This work builds a model for a multi-attribute reverse auction-based procurement, and assesses the cause-effect relationship that is present, and shows that antagonism between referee groups tends to grow over time.

TL;DR: A new mechanism introducing a group-buying server to secure and monitor the transaction and employ the Bloom filter and XOR operation to reduce the size of the transaction table and the computational cost is proposed.

TL;DR: An analytical framework is proposed that investigates the effect of information and communication technologies on the costs of the decision-making process in organizations by incorporating a technology variable in an already well-known model of public decision- making.

TL;DR: In this article, the authors compare the best-selling titles sold on Amazon.com in print or electronic Kindle formats during the period from November 2007 to July 2010 and find that the cannibalization of print sales by e-books is more likely to occur for superstar titles written by successful authors.

TL;DR: This study investigates business-to-customer (B2C) electronic commerce services from a quality management perspective and proposes a novel quality management approach that is based on human factors engineering to manage e-commerce service quality and operate according to customer needs.

TL;DR: This Guest Editors’ Introduction will provide an overview of new research that was shaped into special issue on social commerce for Electronic Commerce Research and Applications, and reflect a timely call to deepen the understanding of social commerce in different ways.

TL;DR: An unsupervised learning method based on a finite mixture model to identify pricing frauds by utilizing the known number of item clusters and it is presented that utilizing the number of clusters is helpful in facilitating the improvement of pricing fraud detection performances.

TL;DR: The experimental results demonstrate that ICE significantly outperforms ACE and also outperforms KEA in concept extraction, and is used to showcase two e-commerce applications, i.e. product matching and topic-based opinion mining.