The BABAR Collaboration BABAR, the detector for the SLAC PEP-II asymmetric e + e − B Factory operating at the Υ (4S) resonance, was designed to allow comprehensive studies of CP -violation in B-meson decays. Charged particle tracks are measured in a multi-layer silicon vertex tracker surrounded by a cylindrical wire drift chamber. Electromagnetic showers from electrons and photons are detected in an array of CsI crystals located just inside the solenoidal coil of a superconducting magnet. Muons and neutral hadrons are identified by arrays of resistive plate chambers inserted into gaps in the steel flux return of the magnet. Charged hadrons are identified by dE/dx measurements in the tracking detectors and in a ring-imaging Cherenkov detector surrounding the drift chamber. The trigger, data acquisition and data-monitoring systems , VME-and network-based, are controlled by custom-designed online software. Details of the layout and performance of the detector components and their associated electronics and software are presented.

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The purpose of the current study was to examine the attributes most influential in consumers’ online ticket buying experiences. Using conjoint analysis, eight scenario profiles were created in order to gauge fan preferences when purchasing sport event tickets online. Attributes included (a) timing of ticket purchase, (b) seating availability, (c) price fluctuations, (d) associated fees, (e) number of pricepoints, (f) fraud risk, and (g) price valuation assessment. Data were collected from 469 attendees at a major sport event and part worths for each attribute were calculated to determine which factors held greater importance when all seven were considered concurrently. For the sample overall, results indicated the risk of buying fraudulent tickets was far and away the most influential aspect consumers consider when purchasing sport event tickets online. Comparisons were also made based on whether tickets were purchased from the primary or secondary market, the price paid for the tickets, and the timing of ticket purchase. Results indicated consumer segmentation by these criteria result in distinct buyer profiles.

In 2010, the San Francisco Giants became the first professional team to implement a comprehensive demand-based ticket pricing strategy called dynamic ticket pricing (DTP). In an effort to understand DTP as a price setting strategy, the current investigation explored Giants’ ticket prices during the 2010 season. First, the relationship between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices for comparable seats were examined. In addition, seat location and price changes over time were examined to identify potential effects on ticket price in the primary and secondary market. Giants’ ticket price data were collected for various games throughout the 2010 season. A purposive selection of 12 games, which included (N= 1,316) ticket price observations, were chosen in an effort to include a multitude of game settings. Two ANOVA models were developed to examine price differences based on pricing structure, market, section, and time. Findings showed significant differences between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices, with fixed ticket prices on the low end and secondary market ticket prices on the high end of the pricing spectrum. Furthermore, time was found to have a significant influence on ticket price; however, the influence of time varied by market and seat location. These findings are discussed and both theoretical and practical implications are considered.

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