Yield management is the dynamic pricing, overbooking, and allocation of perishable assets across market segments in an effort to maximize short-term revenues for the firm. Numerous optimization heuristics for allocation and overbooking exist for the airline industry, whose perishable asset is the airplane seat. When an airplane departs, no revenue is gained from the empty seat(s). In the hotel industry, the perishable asset is the hotel room-once a room is left empty for a night, that night's revenue cannot be recaptured. The literature on yield management heuristics for the hotel industry is sparse. For the hotel operating environment, no research has adequately (1) integrated overbooking with allocation, (2) modeled the phenomenon of hotel patrons extending or contracting their stay at a moment's notice, or (3) performed a realistic performance comparison of alternative heuristics.This research develops (1) two hotel-specific algorithms that both integrate overbooking with the allocation decisions, (2) a simulation model to reproduce realistic hotel operating environments, and (3) compares the performance of five heuristics under 36 realistic hotel operating environments. Seven conclusions are reached with regard to which heuristic(s) perform best in specific operating environments. Generally, heuristic selection is very much dependent on the hotel operating environment. A counterintuitive result is that in many operating environments, the simpler heuristics work as well as the more complex ones.

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The Implicit Relational Assessment Procedure (IRAP, Barnes-Holmes et al. in Psychol Rec 60:527-542, 2010) was utilized as a relatively new tool to measure implicit weight bias in first- and third-year medical students. To date, only two studies (Miller et al. in Acad Med 88:978-982, 2013; Phelan et al. in Med Educ 49:983-992, 2015) have investigated implicit weight bias with medical students and both have found pro-thin/anti-fat implicit attitudes, on average, using the Implicit Association Test (IAT, Greenwald and Banaji in Psychol Rev 102:4-27, 1995) as the assessment tool. The IRAP, however, allows for a deeper analysis of implicit attitudes with respect to both thin and fat in isolation, and it was found that medical students are, on average, actually both pro-thin and pro-fat, and on average are more pro-thin than pro-fat, as opposed to anti-fat. Additionally, it was found that medical students' implicit weight bias against fat/obese individuals improved over the first 2 years of medical training, and this improvement was specifically driven by improved implicit attitudes toward overweight and obese, while implicit attitudes toward thin remained constant over that time. The implications of more sensitive implicit bias assessment and specific changes in bias over time are discussed within the context of medical education curriculum development.

We investigate the revenue impact of a new Price Setting Method (PSM) and compare it with the industry standard Bid Price Method (BPM). This comparison is performed via a simulation that was validated by a major hotel chain. In 27 out of the 32 cases, the PSM outperformed the BPM based on statistically significant tests. The PSM produces an average revenue increase of 34%, which can be thought of as an upper bound on the realistic revenue increase.