Index scores and competitive sets (compsets) play a critical role in the performance and evaluation of hotels. The reliance on these metrics has drawn skepticism in recent years as competitive sets may be opportunistically chosen, creating bias in performance evaluation. Drawing from the principal–agent theory and the theory of incentives, we explore whether the distance of the competitors chosen for a hotel’s compset influences revenue per available room (RevPAR) index scores. Based on the concepts of resource similarity and market commonality, we develop a novel mathematical model through which we empirically analyze a large dataset of 10,000 compsets. We find evidence that competitor distance influences index performance and that this relationship is bidirectional. Results show that hotels that outperform the competition may use distance to inflate RevPAR indices, while those that underperform may use distance to further reduce scores. These conflicting results may be reflected from the reverse motivations of the stakeholders.

指数得分和竞争性设置（组合）在酒店的绩效和评估中起着至关重要的作用。近年来，对这些指标的依赖引起了人们的怀疑，因为竞争性产品的选择可能是机会性的，从而在绩效评估中产生了偏见。从委托-代理理论和激励理论出发，我们探讨了为酒店配套选择的竞争对手的距离是否会影响每间可用客房的收入（RevPAR）指数得分。基于资源相似性和市场共性的概念，我们开发了一个新颖的数学模型，通过该模型我们可以对10,000个组合的大型数据集进行经验分析。我们发现有证据表明竞争对手的距离会影响指数表现，并且这种关系是双向的。结果表明，表现优于竞争对手的酒店可能会使用距离来提高RevPAR指数，而表现不佳的酒店可能会使用距离来进一步降低得分。这些矛盾的结果可能从利益相关者的反向动机中得到反映。