Exploring the factors affecting the use of C2C in Colombia

This study analyses the factors that users of consumer-to-consumer (C2C) commerce value as direct influences in the intention to use and the acceptance of a marketplace. An empirical model is formulated, which integrates three variables that evaluate trust and, in turn, other variables that influence C2C intention and purchases, taking a sample of 686 surveys gathered using the Internet in Colombia. The results show that trust is a fundamental factor in this type of electronic commerce in Colombia, given that C2C users seek intermediation pages with third-party recognition (TPR) and high web quality; similarly, key variables in the adoption of this type of commercial platform include finding low prices and social influence. The perception of trust in this type of electronic commerce is a broader concept that requires the analysis of psychosocial factors. For companies that manage marketplaces, this study allows them to focus on key actions and tools in their websites. This study allowsone to get to know the users of this transactional system, specifically for the Latin American region, highlighting the variables that they most consider when engaging in direct commerce between people. The results show that C2C requires marketplaces that guarantee the necessary conditions for a purchase/sale transaction with trust and quality

Systematic Measurement of Centralized Online Reputation Systems

Background: Centralized online reputation systems, which collect users' opinions on products, transactions and events as reputation information then aggregate and publish it, have been widely adopted by Internet companies. These systems can help users build trust, reduce information asymmetry and lter information. Aim: Much research in the area has focused on analyzing single type systems and the cross-type evaluation usually concentrates on one aspect of the system. This research proposes a systematic evaluation model (SERS) that can measure different types of reputation system. Method: From system perspective, all reputation systems can be divided into five underlying components. Input refers to the collection of ratings and reviews; Processing is the aggregation of ratings. Output publishes the information. Feedback Loop is the collection of the feedback of the review, which can be seen as the `review of the review'; Finally, Storage stores all the information. Therefore, based on each component's characteristics, a series of benchmark criteria can be dened and incorporated into the model. Results: The SERS has dened 29 criteria, which can compare and measure different aspects of reputation systems. The model was theoretically assessed on its coverage of the successful factors of reputation systems and the technical dimensions of information systems. The model has also been empirically assessed by applying it to 15 commercial sites. Conclusion: The results obtained indicated that the SERS model has identified most important characteristics that have been proposed by reputation systems literature. In addition the SERS has covered most dimensions of the two basic technical information system measurements: information quality and system quality. The empirical assessment has shown that the SERS can evaluate dierent types of reputation systems and is capable of identifying the weakness of current systems

BEYOND INSTITUTION-BASED TRUST: BUILDING EFFECTIVE ONLINE MARKETPLACES WITH SOCIAL MECHANISMS

Researchers have devoted considerable efforts to design effective online marketplaces, especially with respect to the institutional structures believed to establish buyer trust in the community of sellers. Comparatively speaking, the effectiveness of social mechanisms, although practically evidenced as important, has received much less attention in e-commerce research. In the current study we explore the contribution of social mechanisms–specifically IT-enabled instant messaging, the message box, online community and informal coalition programme–to effective online marketplaces. We propose that these mechanisms facilitate social relationships and trust building processes during transactions, in addition to the existing institutional structures. When consumerto- consumer (C2C) transactions are considered risky, the buyer-seller social relationship is more critical for buyers when forming their transaction intentions. The research model is largely supported by a pilot study of 104 buyers of TaoBao.com, China’s C2C leading marketplace. We discuss the findings, implications, and our preparations for a large-scale study

How Marketing Factors Influence Online Browsing and Sales: Evidence From China's E-Commerce Market

As the e-commerce market evolves from being primarily transactional to being more subtle, sellers now seek to form online strategies. Previous studies have investigated buyers’ purchasing patterns, online transaction trust, electronic word-of-mouth, online resale behavior as well as online auctions. However, less is known about the antecedents that effect store traffic and sales. By using real market data from a major Chinese C2C e-commerce site, this article investigates C2C transactional formation and identifies sellers’ performance payoffs that result from various marketing factors. Marketing factors that influence store traffic and sales will be analyzed by means of the Negative Binomial model and Tobit model. Results point out that strong store reputation and high service quality are crucial indicators for increasing number of browsers and sales amount. In accordance with the results of prior research, advertising is confirmed as an effective tool for positively influencing both store traffic and sales. In addition, we found that guarantee policies can positively impact store sales only by interacting with reputation ratings. Drawing on empirical findings, we also discuss the managerial implications for C2C sellers and put forth some recommendations

How do you feel when you see a list of prices? the interplay among price dispersion, perceived risk and initial trust in Chinese C2C market

The issues of trust fraud, product genuineness and price dispersion jointly make Chinese C2C buyers difficult to identify trustworthy sellers with a low price. Little is known about the generation of initial trust when buyers search products and receive lists of widely ranged prices. This study proposes a theoretical model to explain how price dispersion interacts with other factors in C2C purchase, such as initial trust, perceived risk, perceived value and purchase intention. Product type is considered as a moderator. 261 students were invited in a survey-based experiment. The results from PLS analysis show that price dispersion negatively affects perceived value, whilst, positively affects perceived risk, which further influences perceived value negatively. Price dispersion also negatively influences initial trust through perceived risk. Moreover, the negative effects of price dispersion are stronger when buyers purchase high-touch products

The effects of internet shoppers' trust on their purchasing intention in China

Owing to the rapid development of the Internet and information technology in China, the growth of consumers' purchasing activities in Internet shopping malls has been truly phenomenal in recent years. Taobao.com, Ebay.com.cn, and Paipai.com have 67,360,000 customer to customer (C2C) users and 99% of the market share in China's C2C market (www.163.com). Dangdang.com and Joyo.com have occupied 87% of the business to customer (B2C) market with 58,360,000 users (www.sohu.com). Because of these significant numbers of users, it is important to understand what affects Chinese consumers' decisions to purchase in Internet shopping malls. Based on past studies, trust is considered a key factor affecting a Chinese consumer's purchasing intention. The purpose of this study is to investigate the effects of Chinese shoppers' trust on their purchasing intention in Internet shopping malls. In order to accomplish the purpose of this study, we developed a research model. This model suggests that there exists a significant relationship between trust and purchasing intention. According to this model, on purchasing intention, trust also mediates effects of other independent variables such as e-commerce knowledge, perceived reputation, perceived risk, and perceived ease of use. The results of this study show that the relationships between these variables are all significant except that between trust and perceived reputation. This research confirms the significant effects of Chinese shoppers' trust on purchasing intention. Implications of these findings are discussed for researchers and practitioners