Since its foundation, revenue management techniques on aggregate have added billions of dollars to many firms' bottom lines, while using existing products or services and existing sets of consumers (Cross, Higbie, and Cross, 2010). The recent rapid changes in the business environment have forced firms to adopt strategies that will fit their overall strategies to aid in their survival and success (Pechlaner and Sauerwein, 2002). As a result of the modern reality of business, academic literature has not yet been able to address many important considerations. An example is RM implementation strategies and the performance outcomes as a result of these decisions. This study investigated the advantages and disadvantages of implementation of RM strategies; in-house, centralized, and outsourced. This was followed by the make or buy decision, specifically focusing on Transaction Cost Economics and the Resource Based View to investigate antecedents of outsourcing intention, and if and how these different strategies affect hotel properties' performance.

Data were collected using an online survey of lodging properties located in the U.S. in October 2014. A total of 374 usable responses for outsourcing intention study and 591 usable responses for the performance study were collected. Factor analysis, hierarchical multiple regression, repeated measures ANOVA, regression analysis, and pairwise comparison analysis were the statistical analyses used in the study.

The results found that specificity is significant and negatively associated with outsourcing intention. In addition, uncertainty is significant and positively associated with outsourcing intention as proposed. The moderating effect of organizational capability is significant and changes from base model to final model with the moderator being statistically significant. The findings of regression and a pairwise comparison test confirmed the difference in strategy choice on performance for US hotels, giving us insights into the importance of selecting the strategy that is optimal for a given property.