Goal-Oriented RE for E-Services

Current research in service-oriented computing (SoC) is mainly\ud about technology standards for SoC and the design of software components that\ud implement these standards. In this paper we investigate the problem of\ud requirements engineering (RE) for SoC. We propose a framework for goaloriented\ud RE for e-services that identifies patterns in service provisioning and\ud shows how to compose business models from them. Based on an analysis of 19\ud business models for e-intermediaries we identified 10 intermediation service\ud patterns and their goals, and show how we can compose new business models\ud from those patterns in a goal-oriented way. We represent the service patterns\ud using value models, which are models that show which value exchanges\ud business patterns engage in. We conclude the paper with a discussion of how\ud this approach can be extended to include business process patterns to perform\ud the services, and software components that support these processes

A Proficient and Dynamic Bidding Agent for Online Auctions

E-consumers face biggest challenge of opting for the best bidding strategies for competing in an environment of multiple and simultaneous online auctions for same or similar items. It becomes very complicated for the bidders to make decisions of selecting which auction to participate in, place single or multiple bids, early or late bidding and how much to bid. In this paper, we present the design of an autonomous dynamic bidding agent (ADBA) that makes these decisions on behalf of the buyers according to their bidding behaviors. The agent develops a comprehensive method for initial price prediction and an integrated model for bid forecasting. The initial price prediction method selects an auction to participate in and then predicts its closing price (initial price). Then the bid forecasting model forecasts the bid amount by designing different bidding strategies followed by the late bidders. The experimental results demonstrated improved initial price prediction outcomes by proposing a clustering based approach. Also, the results show the proficiency of the bidding strategies amongst the late bidders with desire for bargai

Proceedings of RSEEM 2006 : 13th Research Symposium on Emerging Electronic Markets

Electronic markets have been a prominent topic of research for the past decade. Moreover, we have seen the rise but also the disappearance of many electronic marketplaces in practice. Today, electronic markets are a firm component of inter-organisational exchanges and can be observed in many branches. The Research Symposium on Emerging Electronic Markets is an annual conference bringing together researchers working on various topics concerning electronic markets in research and practice. The focus theme of the13th Research Symposium on Emerging Electronic Markets (RSEEM 2006) was ?Evolution in Electronic Markets?. Looking back at more than 10 years of research activities in electronic markets, the evolution can be well observed. While electronic commerce activities were based largely on catalogue-based shopping, there are now many examples that go beyond pure catalogues. For example, dynamic and flexible electronic transactions such as electronic negotiations and electronic auctions are enabled. Negotiations and auctions are the basis for inter-organisational trade exchanges about services as well as products. Mass customisation opens up new opportunities for electronic markets. Multichannel electronic commerce represents today?s various requirements posed on information and communication technology as well as on organisational structures. In recent years, service-oriented architectures of electronic markets have enabled ICT infrastructures for supporting flexible e-commerce and e-market solutions. RSEEM 2006 was held at the University of Hohenheim, Stuttgart, Germany in September 2006. The proceedings show a variety of approaches and include the selected 8 research papers. The contributions cover the focus theme through conceptual models and systems design, application scenarios as well as evaluation research approaches

The BARISTA: A model for bid arrivals in online auctions

The arrival process of bidders and bids in online auctions is important for studying and modeling supply and demand in the online marketplace. A popular assumption in the online auction literature is that a Poisson bidder arrival process is a reasonable approximation. This approximation underlies theoretical derivations, statistical models and simulations used in field studies. However, when it comes to the bid arrivals, empirical research has shown that the process is far from Poisson, with early bidding and last-moment bids taking place. An additional feature that has been reported by various authors is an apparent self-similarity in the bid arrival process. Despite the wide evidence for the changing bidding intensities and the self-similarity, there has been no rigorous attempt at developing a model that adequately approximates bid arrivals and accounts for these features. The goal of this paper is to introduce a family of distributions that well-approximate the bid time distribution in hard-close auctions. We call this the BARISTA process (Bid ARrivals In STAges) because of its ability to generate different intensities at different stages. We describe the properties of this model, show how to simulate bid arrivals from it, and how to use it for estimation and inference. We illustrate its power and usefulness by fitting simulated and real data from eBay.com. Finally, we show how a Poisson bidder arrival process relates to a BARISTA bid arrival process.Comment: Published in at http://dx.doi.org/10.1214/07-AOAS117 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

Online Auctions

The economic literature on online auctions is rapidly growing because of the enormous amount of freely available field data. Moreover, numerous innovations in auction-design features on platforms such as eBay have created excellent research opportunities. In this article, we survey the theoretical, empirical, and experimental research on bidder strategies (including the timing of bids and winner's-curse effects) and seller strategies (including reserve-price policies and the use of buy-now options) in online auctions, as well as some of the literature dealing with online-auction design (including stopping rules and multi-object pricing rules).

Contracts and Automation: Exploring the Normativity of Automation in the Context of U.S. Contract Law and E.U. Consumer Protection Directives

Given a choice between two systems of contract rules, a court or legislature may have a normative obligation to adopt the rule that is more susceptible to coding and automation. This paper explores the ramifications of that normative proposition through the lens of multiple contract doctrines that traditionally involve "messy" judgments or multiple interacting judgments regarding which human beings are - arguably - capable of making finely nuanced analyses. Using the common law doctrine of unconscionability and Polish Civil Code Article 385 on unfair terms in consumer contracts, this paper explores the differences between contract rules that require human analysis versus those that can be applied with strong reliability by automated processes. Finally, the paper analyzes some of the potential pitfalls of this normative proposition in light of technological, economic, and moral/ethical concerns

Developing Multi-Sided Markets in Dynamic Electronic Commerce Ecosystems - Towards a Taxonomy of Digital Marketplaces

Multi-sided markets (MSMs) have proven to be a successful business model in the dynamic electronic commerce environment. There exists a variety of MSMs differing in their provided features and services for their participants. Existing taxonomies often focus on value creation and business-to-business transactions. We apply Nickerson et al.’s taxonomy development approach. We especially incorporated aspects of orchestrating the distinct market sides and governance dimensions. The developed taxonomy for MSMs consists of 21 dimensions and 99 characteristics in total. We have applied our taxonomy to 44 MSMs and identified asymmetries between the market sides concerning Monetization, Network Effect Amplifiers and Provided Services. We emphasize that the taxonomy is not only an artifact for classifying the current situation of an MSM but can also be used by MSM owners to derive directions for the future development. We illustrated how these developments can be conducted by examples for five dimensions of our taxonomy