Due to a rapid expansion of commercial usage on the Internet, on-line auction is showing its growing potential and economic benefit on business competition.¡@On-line auction is a totally new consuming experience for most people. However, though fast and convenient comparing to traditional shopping, social contacts, such as bargaining, are not provided during the process of on-line shopping.Moreover, stereotyped consuming behavior of " seeing is believing" and concerns on Internet security may also be obstacles for many consumers to shop on-line.Through investigating online auction users' expectation ,trying to find influencing factors for users to adopt on-auction shopping.Factors causing users to avoid on-line shopping are also of great interest.¡@Enterprises doing Internet business may find the results of this study useful in their marketing analysis and planning. A web-based questionnaire was employed.Items were grouped into three sections in the questionnaire: on-audtion shopping environment, on-line experience, and demographic information.¡@A total of 1698 questionnaire was collected. The results indicated that male subjects were higher motivated to shop on-line auction than their female counterparts.Subjects with on- line auction shopping experience were found to have significantly higher motivation to shop on-line auction than those without such experience.Security¡@problem of using credit card for payment via Internet still is the most concerns for many subjects. Provision of detail information regarding product description and procedures for making order, as well as a comprehensive after-sell service may largely encourage web users adopting on-line auction shopping.

Increasingly used in online auctions, buyout prices allow bidders to instantly purchase the item listed. We distinguish two types: a temporary buyout option disappears if a bid above the reserve price is made; a permanent one remains throughout the auction or until it is exercised. In a model featuring time-sensitive bidders with uniform valuations and Poisson arrivals but endogenous bidding times, we focus on finding temporary and permanent buyout prices maximizing the seller's discounted revenue, and examine the relative benefit of using each type of option in various environments. We characterize equilibrium bidder strategies in both cases and then solve the problem of maximizing seller's utility by simulation. Our numerical experiments suggest that buyout options may significantly increase a seller’s revenue. Additionally, while a temporary buyout option promotes early bidding, a permanent option gives an incentive to the bidders to bid late, thus leading to concentrated bids near the end of the auction. / Singapore-MIT Alliance (SMA)

Online auction, as one way of the online shopping has become increasingly popular. During the process of online auction, there are many factors influencing the the final auction price. This dissertation will focus on the factors influencing the online auction price. Thus, the sellers and buyers in online auction process will be much more clear how to make decision in future auction process.

<p> </p><p>Millions of dollars change hands daily through online auction markets. Online trading communities like eBay and Amazon.com are emerging as increasingly important factors of the economy. Various Reputation systems are important components in such electronic markets. Existing evidence suggests that there are a number of problems with such systems. This paper presents an empirical exploration of reputation systems. Two studies of Tradera’s discussion forums are reported. The result of the first, pilot study suggests that both sellers and buyers are worried about getting a retaliatory negative feedback if they leave a negative feedback for an unsatisfactory transaction from their trading parties. Retaliation from the non-paying bidders seems to be the most severe threat and trouble for sellers. A set of negative feedbacks were then gathered from Tradera and data were manually analyzed in order to verify the results from the preliminary study. The results from the second study confirmed the result of the pilot study. A general evaluation of Tradera’s current reputation system is made based on the results of the second study. This paper aims to make a contribution to the literature on online reputation system by developing a typology of seller complaints about Tradera buyers and providing a tentative definition of retaliatory negative feedback based on the findings of both studies. Proposed solutions to the problems of non-payment and feedback retaliation are also presented.</p><p> </p>

At May 2003, Taiwan¡¦s Internet auction market has been rising by one of eBay¡¦s advertisement ¡§ Mrs. Tang¡¦s favor Pan-Long vast is broken by her husband.¡¨ And that brings Taiwan¡¦s Internet auction market into the Warring States era. You can see that from the number of Yahoo auction¡¦s volume of merchandise trade, which grew suddenly from 2000 deals at September 2001 to 18 million deals at May 2003. it¡¦s growth rate is 900 times, and the sum of merchandise trade money is more than NT 100 billions. There are a lot of chances to make money in this burgeoning market. The consumer can save a lot of time and money from shopping on Internet auction, but this high technology benefit also creates various Internet cheating behavior. That¡¦s the reason why people love this new transaction way, but are afraid to get hut from it at the same time. So, this research is focus on the consumer purchasing motivation and perceptive risk, attempting to realize the consumer¡¦s demand and the behavior of avoiding perceptive risk by analyze how purchasing motivation and perceptive risk will effect the purchasing willing. And from analyzing the characteristics of the consumer, hope that we can provide suitable improving advises to the manager. This research has received 210 valid questionnaires. We use two level cluster analysis and discriminant analysis to separate our sample data into three clusters by purchasing motivation and perceptive risk: The sample data is separate into high-demand motivation cluster, middle-demand motivation cluster and low-demand motivation cluster. About the variable of perceptive risk, the data is separated into financial-performance risk cluster, security risk cluster and physical-time risk cluster. And then,£q2 analysis, one-way ANOVA, factor analysis, canonical correlation analysis and Pearson correlation analysis are used for deeper analysis and discussion. The following list is our research result and finding: 1. On the Internet auction, the consumer¡¦s purchasing motivation will effect their purchasing willing. When you have stronger motivation to purchase on Internet auction, your purchasing willing will be higher. 2. Perceptive risk will effect the consumer¡¦s willing to purchase on the Internet auction. When you have stronger perceptive risk to purchase on Internet auction, your purchasing willing will be lower. 3. Perceptive risk will effect the consumer¡¦s motivation to purchase on the Internet auction. When you have stronger perceptive risk to purchase on Internet auction, your motivation will be lower. 4. Perceptive risk, purchase motivation and purchase willing would be influenced by personal attribute. But the effect of demographic statistics variables, some of personal attributes, is not strong. In the contract, the effect of the other personal attributes, Internet behavior, make the perceptive risk, purchasing motivation and purchasing willing obviously different.

Following the rapid development of the electronic commercial (EC) market, the circumstance of purchasing products and services on the Internet in Taiwan with substantially growing trend has become more mature. According to a marketing research report, it is expected that more retailers and consumers will enter the online-auction market in 2007. In the aspect of consumer behavior, the habits of consumers searching and purchasing products are gradually going to be shaped up, and a flood of individual sellers are joining into the competition at the online-auction seeking the opportunity for selling their products. In the past researches, it is found that the study focused on online auction sellers is limited. This research tries to combine FCB Grid and four features to build a website to preliminarily analyze and explore how the professional retailers present the product pages in Yahoo!Kimo online auction interface for the purpose of examining whether there are different product performing ways from other EC websites. In addition, we also discuss about whether there is any discrepancy over product performance and ERP due to products¡¦ characteristics. The research takes the advantage of using content analysis method and drawing 392 samples totally from 18 categories in Yahoo!Kimo online auction platform for study. All samples¡¦ accumulated scores have to over 1000 and rank the top 25 in each category. In each sample, 4 web pages including virtual storefront, about sellers, product, and evaluation have to be drawn to the accumulation. In total, there are 392 selected samples covering 18 categories. As a result of this research, we find that the highly emotional involving products have the highest accumulated positive/negative evaluation scores on an average. However, there¡¦s no difference while facing trading problems revealed in the negative evaluation. Theses sellers put more emphasis on rational appeals such as relating truth, solving problems, and using recommendations by consumers. Some also use emotional appeals which tend to create an overall image of the storefront. In addition, the sellers of highly emotional involving products are more than happy to mention the ego gratification and social acceptance. On the other hand, appeals which were often exercised in traditional media advertisement seldom appear in online auction website. Compared with other researches, the auction sellers apply huge amount of product information. The categories of information are affected by the online auction platform. From the websites of professional sellers, four concrete features are also concluded. First, sellers use pictures to develop the value of products. Second, the well-known brand awareness of a product is not the main factor to be successful in online auction platform, instead creating sellers¡¦ own brand images. Third, sellers provide sufficient social clues, but seldom refer to the rights of protecting consumers¡¦ private information. Fourth, affected by the Internet, they make good use of sales promotion such as e-paper, discount, and product warrant. Finally, the research also describes four kinds of product webpage features and makes a concrete recommendation concerning building product web pages for sellers who want to contribute to long term business in online auction.

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. Informacinės technologijos, tokios kaip Internetas ir elektroninė komercija, radikaliai pakeitė būdus, kaip keistis informacija ar vykdyti įvairius atsiskaitymus. Sparčiai besivystančios informacinės technologijos neaplenkė ir verslo, kuriam suteikė naujų galimybių didinant konkurencingumą. Per pastaruosius keletą metų ypač išpopuliarėjo elektroninės komercijos šaka – elektroniniai aukcionai, kuri dar labiau paskatino verslą keltis į elektroninę erdvę. Aukciono valdymas yra sudėtingas. Vienas iš svarbiausių konkurencingumo veiksnių yra kaina, kuriai nustatyti įmonė taiko įvairias kainodaros taisykles. Aukcionas tai dinaminės kainodaros būdas, kuris leidžia įmonei ir klientui rasti pačią tinkamiausią sandorio kainą. Tinkamai valdydamos ir kaupdamos verslo taisykles, įmonės galėtų gauti didesnį pelną, greičiau parduoti turimas prekes. Elektroniniai aukcionai, paremti turinio valdymo principu ir norimų taisyklių sudarymu galėtų prisidėti prie verslo efektyvumo didinimo, t.y. kokiu būdu įmonės galėtų integruoti elektroninio aukciono metodą į savo informacines sistemas. Atlikta įvairių aukciono metodų teorinių veikimo principų analizė, kuri leido apibendrinti visus metodus, išskiriant ir palyginant pagrindines jų taisykles. Darbe atlikta sukurtų elektroninių aukcionų informacinių sistemų analizė ir jų kūrimo principai, kurie leido apibendrinti pagrindines naudojamas taisykles. Atliktas eksperimentinis tyrimas, kurio metu koreliacinės analizės metodu buvo rasti ryšiai tarp... [toliau žr. visą tekstą] / Modern business is increasingly looking for more effective marketing techniques, not only in domestic but also international markets. Over the past few years, online auctions became very popular, which encouraged the business move to Internet. Online auctions based on content management principles and rules could help to increase business efficiency. The operating principles of online auctions are reviewed and analyzed in this graduation paper. Online auction systems diversity is analyzed in analytical part of the work. Four different auction systems were analyzed and their main development principles (rules) were summarized. Considering to analysis part online auction model that can help companies increase sales and profits through the auction approach was designed. Experimental study has been made to verify the functionality of the proposed model. Data – jewelry – listings were collected from the world's largest online auction eBay. Quantitative and qualitative data was analyzed; the results are shown in graphs and tables. The final result was derived under the rules of price categories to choose the basic parameters of an auction: the starting price, auction duration and reliability. New benefit option was introduced, which enabled to compare and evaluate the obtained rules. Different methods were used to generate and evaluate auction rules. One of them is self organizing map (SOM). Its aid was used to classify the data. The statistical analysis method was used to evaluate... [to full text]

Basically, to evaluate the operational performances of online auction is according to seller¡¦s transaction and investment in the auction website. Thus, how to maintain good relationship with the existing seller switching and attract new seller is the most attention and major care for auction service provider. However, there were few prior researches focused on the topic of online auction switching and examined from real case. In this study, we tried to develop a measuring model and explore the factors that relate to auction seller¡¦s switching. In July 2006, Yahoo! Kimo auction, the largest auction website in Taiwan, announced a new fee scheme which would charge 3 percent transaction handling fee on its sellers from Aug. 10. Many users expressed objection to the new charge scheme. During the same period, Ruten, a new joint venture auction website that combined eBay and Taiwanese portal operator PChome is nearly ready and makes some responding strategic approaches to attract new user. Many sellers of Yahoo! Kimo auction thought to switch auction provider. Base on the background, the study aim to explore auction seller¡¦s switching behavior through switching costs, including procedure costs, financial costs, and relational costs. Moreover, we examined how website quality, fee, anti-lock-in, and anti-switching affect switching intention and behavior. A total of 292 usable questionnaires were gathered through online surveys from auction discussion board and BBS. The data were analyzed by partial least squares (PLS) to test the hypotheses. We find that switching costs, website quality, fee have negative effect on seller¡¦s switching intention. Anti-lock-in and anti-switching have moderating effect in the model. According to the finding, we provide useful guidance for auction seller and auction service provider.

The English online auction creates great business opportunities. However, it¡¦s different from traditional English auction in long bidding time, wide area, high risk, massive information, and low switching cost. It makes bidders easy to search information of the goods but difficult to win the auction. The bidders' transaction cost structure has changed from information phase to agreement phase. So, the bidders need more precise supporting tools to help them make decisions. The aim of this research is to investigate two-person optimal bidding strategies under three dimensions of the decision space: the sequence decision (bid firstly or later), the bid decision (bid or quit), and the jump decision (minimum increase or jump bid). It is assumed that there are two bidders competing in one auction. Variables associated with the auction system include the floor price and the minimum increase. Variables associated with the bidders include the private value of the bidding object, and the cost of bid per turn. Strategies were evaluated based on the following criteria: who wins, how many turns to win the bid, the deal price, the utility of the winner and the loser, the probability of winning, and the expected utility. The results indicate that every strategy has its advantages and disadvantages under certain conditions. This research provides guiding rules for the bidders to choose a better strategy.