English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Nowadays, Internet is the usual platform for people around the world to search for firms offering specific services. However, many Internet search engines provide useless lists due to the fact that they are extremely long or not very well organized. This has been the starting point for some Internet search service providers to create new systems for ranking firms according to different searching engines. One outstanding example of these providers is the giant Google. Google has developed an auction mechanism (see, for example, (Krishna, 2002) or (Klemperer, 2004) for details on auction mechanisms) for firms to advertise their services on the Internet, known as Google Adwords system. Under this mechanism, when a consumer searches for firms offering specific services, the results for a particular keyword (or group of keywords) are ranked in descending order according to what previously the firms have bid. Then, when a consumer clicks on the name of the firm listed on the search site, this firm has to pay the provider an amount equal to the bid price regardless of whether the consumer finally purchases or not. This way of ranking firms has several benefits over other possibilities. On one hand, the provider offers pay-for performance service since firms pay only when a consumer clicks on their corresponding hyperlink. On the other hand, each firm is encouraged submitting a new bid anytime to change the order at which it appears on the list. This issue has been studied previously in the literature. (Lim & Tang, 2006) introduced a one-stage game for two firms that captures the advertising mechanism of a search service provider. So, game theory allowed them to analyze the firm’s optimal bidding strategy and assess the impact of several parameters on the provider’s revenue. Nevertheless, it just was the first attempt to analyse bidding behaviour arising from this type of situations, since their model presents several limitations. First, Lim and Tang’s model is limited to only two firms, each one with just three feasible bids. Secondly, Lim and Tang’s model does not take into account the dynamic interactions among firms (e.g., fluctuating coalition structures) since they assume just one stage. For these reasons, it seems suitable to extend the analysis of (Lim & Tang, 2006) to other more complex situations. In this chapter we describe software which could be used as a decision support system tool or framework for analysing, at least from an academic point of view, ranking auction markets for Internet search service providers. The software tool is based on the behaviour of

Design and Implementation of a Decision Support System for Analysing Ranking Auction Markets for Internet Search Services