An Ontology for Formalising Agreement Patterns in Auction Markets

Knowledge and best practices on auction systems are cur- rently disseminated across the research literature, which limits its access, reuse, evaluation and feedback by practitioners. This article presents a systematic approach to collect this knowledge as design patterns, in order to provide assistance to software developers. An ontology has been de- _ned for formalising design patterns in auction systems, with the aim of improving its searchability by software developers. Finally, a case study illustrates how the proposed pattern ontology provides assistance in the development of a dynamic pricing model for an e-commerce servic

Columbia Chronicle (04/05/2010)

Student newspaper from April 5, 2010 entitled The Columbia Chronicle. This issue is 48 pages and is listed as Volume 45, Number 25. Cover story: Eating their words Editor-in-Chief: Bethany Reinharthttps://digitalcommons.colum.edu/cadc_chronicle/1784/thumbnail.jp

Revenue Management in the Sport Industry: an Examination of Forecasting Models and Advance Seat Section Inventory in Major League Baseball

Technological advances in data storage and processing have led to more sophisticated ticket pricing strategies in professional sport. Sport organizations are beginning to adopt a form of revenue management known as dynamic ticket pricing. Effective pricing strategies such as dynamic ticket pricing require an in-depth understanding of the nature of advance ticket inventory and accurate forecasting models to predict remaining inventory at various time horizons prior to game time. The purpose of this study was to gain an understanding of the nature of advance seat section ticket inventory. The study built on and contributed to work in sport revenue management. Although studies of sport revenue management have examined the applicability of revenue management in a sport context, there has not been a study of advance seat section ticket inventory despite the fact that sport organizations utilize price discrimination strategies at the seat section level. As such, this study provided additional insight into the applicability and potential effectiveness of a sport revenue management strategy. The methodological focus on forecasting models and accuracy enabled another contribution. A 3x3x6x7 full factorial research design examined the accuracy of various forecasting models under different data strategies, time horizons, model parameters, and levels of the values of T and K used in the moving average and exponential smoothing forecasting models. Statistically reliable differences existed between data strategies with the classical pickup data strategy providing the best forecasts of final game day inventory. Within the classical pickup strategy, no reliable differences in forecast models were detected nor were forecasts found to significantly differ when changing the value of T or K. Finally, forecast accuracy was shown to follow the theoretically predicted best to worst pattern as days out increased. A profile analysis of seat section ticket inventory showed seat sections exhibit different slopes and changes in slope over time. The general pattern of ticket inventory followed a linear trend but with varying slopes. Steeper slopes were found at 20, 10, and 5 days out followed by a leveling out between 5 and 3 days out which was then followed by steeper slopes from 3 days to game day. This finding suggested that optimizing a sport revenue management plan should include forecasting at the seat section level

Columbia Chronicle (12/07/2009)

Student newspaper from December 7, 2009 entitled The Columbia Chronicle. This issue is 40 pages and is listed as Volume 45, Number 14. Cover story: Manifest\u27s destiny Editor-in-Chief: Bethany Reinharthttps://digitalcommons.colum.edu/cadc_chronicle/1773/thumbnail.jp

Casco Bay Weekly : 22 September 1988

https://digitalcommons.portlandlibrary.com/cbw_1988/1020/thumbnail.jp