Background: Because of the high-speed development of e-commerce, online group          buying has become a new popular pattern of consumption for Chinese consumers. Previous research has studied online group-buying (OGB) purchase intention in some specific areas such as Taiwan, but in mainland China. Purpose:    The purpose of this study is to contribute to the Technology Acceptance Model, incorporating other potential driving factors to address how they influence Chinese consumers' online group-buying purchase intentions. Method:     The study uses two steps to achieve its purpose. The first step is that I use the focus group interview technique to collect primary data. The results combining the Technology Acceptance model help me propose hypotheses. The second step is that the questionnaire method is applied for empirical data collection. The constructs are validated with exploratory factor analysis and reliability analysis, and then the model is tested with Linear multiple regression.  Findings: The results have shown that the adapted research model has been successfully tested in this study. The seven factors (perceived usefulness, perceived ease of use, price, e-trust, Word of Mouth, website quality and perceived risk) have significant effects on Chinese consumers' online group-buying purchase intentions. This study suggests that managers of group-buying websites need to design easy-to-use platform for users. Moreover, group-buying website companies need to propose some rules or regulations to protect consumers' rights. When conflicts occur, e-vendors can follow these rules to provide solutions that are reasonable and satisfying for consumers.

Online group-buying is one of popular and innovative business models in the Internet age. Its essence is that the price will go down as the accumulated orders are increasing. A challenge is how to design the price curve, i.e., the relation between price and volume. Researchers have observed the consumer behavior phenomena of demand externalities, price-drop effect, and cycle ending effect in online group-buying transactions. All are related to the design of price curve. Therefore, if the price curve design can attract consumers and make profit as well, it will make the group-buying more successful. Based on above background, the purpose of this study is to explore the impact of price reduction frequency on consumers¡¦ perceived value and perceived transaction utility and then in turn on consumers¡¦ intention. In addition, this study also explores how the consumers¡¦ price sensitivity mediate the impact of price reduction frequency on consumers¡¦ perceived value and perceived transaction utility. A field experiment was done first. Then, an online experiment was designed and implemented based on the observation of the field experiment. The research result indicates that price reduction frequency will positively affect the consumers¡¦ perceived value and perceived transaction utility. Further, both consumers¡¦ perceived value and perceived transaction utility will affect the consumers¡¦ intention. In addition, the consumers¡¦ price sensitivity modulates the impact of price reduction frequency on consumers¡¦ perceived value and perceived transaction utility. Finally, the observations of field experiment and lab experiment demonstrate the phenomena of demand externalities, price-drop effect, and cycle ending effect proposed by previous researches.

Recently, online group-buying has been a popular business model. It was observed that many characteristics of online group-buying are potential stimuli of impulse buying. Therefore, we target traditional online group-buying and e-coupon group-buying and try to explore the characteristics of online group-buying stimulating impulse buying. Based on the literature review and empirical data collection, we identified five characteristics of online group-buying which may stimulate impulse buying. They are group-buying discount, time pressure, social interaction, perceived shopping convenience and consumption deadline. The data were collected through online questionnaire. The analysis result shows that the five characteristics of online group-buying indeed cause impulse buying. Further, we also explored whether the impulse buying behavior will be moderated in different situations. These moderators include group-buying model (traditional online group-buying vs. e-coupon group-buying), transaction price level, relationship with the group-buying initiator, product type and group-buying experience. The result indicates that the impulse buying behaviors are easier to be stimulated in the following situations: traditional online group-buying, lower transaction price, familiar with the traditional online group-buying initiator, non-food product and more experienced consumers of online group-buying.

Group buying is one dynamic pricing application and it is a mechanism permitting consumers to gather bargaining power in order to get a volume discount or other premiums. In group-buying, the price depends on the number of collected orders. Given a price curve shows the existing orders and current price, the consumer will have some expectation of value and uncertainty for future price. Previous literatures found both the positive participation externality effect and price-drop effect from the field data (Kauffman and Wang, 2001; 2002). Because there are no variable controls from the field study, we can not really know what reasons cause these phenomena in group-buying. Thus, this study will use experimental methodology to the existence of these two effects and understand why they happen. The purpose of this research is to investigate whether positive participation externality effect and price-drop effect exists in group-buying and to explore whether the two effects are related to consumers¡¦ perceived risk and perceived value, whether the intention to join group-buying is influenced by perceived risk and perceived value. The study shows that the two effects really happen in group-buying. Participation externality effect is caused by financial risk, time risk and perceived value. However, price-drop effect is generated from financial risk. Additionally, consumers have higher intentions to join group-buying when they perceive lower financial risk and more perceived value.

Online group-buying means that a crowd of consumers combine with each other and massively purchase a certain object, and therefore can attain to a lower price(Kauffman et al. 2002). In group-buying transaction model, consumers usually recognized the risks specially. Therefore, the feedback mechanisms were used to reduce the risks and increase the trust. In general electronic shopping, many past studies especially explore the use of feedback mechanisms(Dellarocas 2003; Singh et al. 1991). However, there are few studies about the effect of feedback mechanisms on online group-buying. Compare to general electronic shopping, shopping in group-buying will include more uncertainty and risk. Thus, this study will use experimental methodology to explore the feedback mechanisms that how to impact the behavior of group-buying consumers with forum and rating feedback mechanisms. Our study mainly explores whether the feedback mechanisms affect the consumers¡¦ trust in seller¡¦s credibility and perceived risk in group-buying, and whether the intention to join group-buying is influenced by the trust in seller¡¦s credibility and perceived risk. The study shows that the online group-buying consumer behavior is influenced by the feedback mechanisms exactly. The ratings affect consumers¡¦ perceived financial risk, perceived time risk and perceived psychological risk. The forum affect consumer¡¦s psychological risk perceived, and the experience of the initiator who initiates group-buying also affect the consumer¡¦s time risk perceived. The intention to join group-buying is influenced by the trust in seller¡¦s credibility and perceived risk.