Impact of average daily rate on hotel’s newest atmosphere
Xuan V. Tran,
Kaleigh McCullough,
Makayla Blankenship
et al.
Abstract:PurposeThis study aims to create actionable guidelines for pricing decision-making by employing game a theory matrix to forecast the correlation between the average daily rate and the latest ambiance of hotels.Design/methodology/approachUtilizing a vector error correction model, the research employs game theory to assess the influence of the average daily rate on the hotel's newest atmosphere during both peak season (April–September) and valley season (October–March).FindingsFindings indicate that during the p… Show more
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