This thesis considers auctions as trading mechanisms in dynamic marketplaces. In the recent past, the evolution of Internet and wireless communications leveraged the wide and global expansion of auctions by abolishing time and location restrictions. These developments enabled the initiation of trade and participation for almost any type of entity like consumers, business, government etc. Moreover, the technological infrastructure facilitated and enhanced the implementation of more complex auction mechanisms introducing advanced properties like negotiation attributes, bundles of items, etc. The thesis focuses on the application of advanced forms of auctions in dynamic marketplaces where one or more of its dimensions are characterized by high variability. These dimensions can be, for example, the location of the trading item or market participants, the price, the available capacity, the number of participants, etc.An extended literature review mainly from the last decade yielded more than 450 research works dealing with auction mechanisms and corresponding auction theory, and more than 300 research works dealing with the implementation of auctions in electronic and mobile marketplaces. This number reflects the intensive research interest in the area of auctions. The extensive study of these resources demonstrated a serious gap on the systematic organization of auctions regarding the mechanism attributes, their parameters, and implementation instance. This thesis comes to bridge this gap by introducing a conceptual auction classification prototype that resulted from the intensive study of the research literature and the systematic unification of the findings. This model is conceptually defined as "Auction Classification Ecosystem -ACE" and it intends to be used in the future as the state-of-the-art model for auctions engineering.The ACE model consists of three discrete, yet strongly integrated Levels: (i) Level-1 supports the design of the basic auction mechanism, yet, it also supports the design of more complex multi-dimensional auction formats including special decision-making plug-ins, (ii) Level-2 deals with the enrichment of the core auction mechanism with additional parameters which entails enhancing characteristics related to, for example, robustness, fairness, competitiveness, etc., (iii) Level-3 aims on the efficient implementation of the auction supporting several types of decision-makers (e.g., auctioneer, technology provider, etc.) to organize the implementation of the auction and prioritize their actions depending on the implementation context. These layers can be used either independently of each other or in a sequential form. Overall, ACE is highly comprehensive and expandable and usuable, able to serve for: (i) the extensive and structured organization of auction-based dynamic marketplaces, (ii) the analysis of auction formats, (iii) the classification of literature and research findings (iv) the completeness in decision-making, (v) the expandability and integration with other research disciplines, a...