Exploring the WOW in online-auction feedback
1) A description of the study population
The prevailing study population included eight subjects, four masculine and feminine that were within the age bracket that ranges from twenty four to thirty two years. These individuals possessed the required experienced working with eBay and thus remunerated US$15 as fee for participation. The partaking individuals were originating from the large university community within the northeastern location of the United States of America. They were mainly concerned with the assessment of the one hundred and forty two internet auction sites, which majorly was mainly composing the online auction markets that were charged by numerous well-known players. These prominent players were the Amazon, eBay and Yahoo. Nevertheless, eBay was the most prominent which possessed above eighty percent of the prevailing market shares thus making it the most suitable online auction. Amazon and the Yahoo possessed approximately two percent share each. The numerous leading manufacturers, service givers, vendors accompanied by the benevolent business organizations that took part in the online auctions thereby making the existing study population enormous. The chief partakers on the online auctions included the Apple, IBM, Dell, Kodak, Whirlpool, Motorola, Boeing, The American Red Cross, Disney, The Sharper Image, Sears, The Home Depot, The American Broadcasting Company, FTD, ESPN and The Make-AWish. The examination of these one hundred and forty two internet auctions sites provided a comprehensive overview of the prevailing internet auction industry with the inclusion of their respective history, business models, products disposed, and prevailing auction format accompanied by the options.
2) A brief statement of the research methods
The research method that was utilized pertains to the WOW that included the quantitative measure of the existing scale type. The quantitative measure scale encompassed the usage of the ordinal, ratio or interval in the assessment of the target aims such as the prevailing commodities. The feedback within the online auction surroundings were found through the process rating and review form due to their availability of the numerous and reputed online auction sites. The feedback for the single person auctions were referred as the review on eBay. The significant details that were pertaining to the auction included the comment and the statement that were grouped as negative, positive or neutral. The respondents composed of the personality who was mainly bona fide persons who possess active eBay accounts and the majority of them were originating from the large university community within the northeastern location of the United States of America.
3) A brief statement of the evaluation tool (metrics) used
The analysis of the data were based on the factors of analysis that entails quantitative measure scale encompassed the usage of the ordinal, ratio or interval in the assessment of the target aims such as the prevailing commodities. The feedback for every individual auction relied on the review of the prevailing data within the eBay. The important about the auction entails the comment accompanied by the statement that were grouped into categories as either negative, positive or neutral. The supplementary auction details were the name and the feedback that pertains to the rating of the eBay bona fide members who put their comments accompanied by series of optional bResponse declarations left by the person to comment and the prevailing bFollow-upQ statements by the eBay bona fide member who offered the original remark, the processed data and period which the comment was placed. The auction commodity numerical number to the prevailing numbers that were pertaining to remark that possessed the active link to the auction listing within the period that felt amidst thirty and sixty days subsequent to the end of the period of the auction. The utilized metric was containing the depiction of whether the prevailing member who was being reviewed were either the merchant or the purchaser within the existing auction transaction that were correspondingly depicted on the right side column that was possessing either a bS or bB, correspondingly. Every affirmative remark that commerce with the word bPraise. Whilst every neutral remark commerce with the word bNeutral. Moreover, every pessimistic remark commenced with the word bComplaint. The remaining section of the remarks consists of up to eighty characters as pertaining to the reviewer’s choice.
4) A summary of the conclusion presented
Despite the highlight of the significant of the high feedback rating of the prevailing consumers, there was faster response that were pertaining to the numerical figure of the distinctive negative feedback remark in the viewing of the vendor`s entire number of the distinctive affirmatives, neutral and the negatives. The prevailing consumers preferred possessing no negative feedback to possessing lot of the affirmative feedback. The rating that is zero with no negative feedback is considered by the prevailing consumers as a significant factor. The prevalence of negative remarks by the esteem consumers lessen sellers reputation as compared to the existence of the positive remarks augments reputation. Nevertheless, the prevailing numbers of the negative remarks defined the comfort of the consumer as the prevailing of less than three negatives remarks out of the existing thirty rating point makes the consumer comfortable. Conversely, few number of consumers were concerned with the prevalence of the neutral feedback remarks since it held no effect as pertaining to the consumer`s observation on the seller.
5) Your evaluation of the work
I found this article to be very significant as pertaining to the studying the consumer behavior. A very fundamental statistical analysis was utilized in the method of executing this research that possesses a vigorous background. This article provides a unique view of consumers as pertaining to their influence of the sellers.
Reference
Weinberg, B. D. & Davis, L. (2005). Exploring the WOW in Online-auction Feedback. Journal
of Business Research, 58, 1609-1621.
