... data-driven segmentation methods to cluster customers and provide a new solution for customer segmentation in hotel LPs. Design/methodology/approach Using the k-means algorithm, this study examined 498,655 profiles of guests enrolled in a multinational hotel chain’s loyalty program...

.... Market segmentation Bootstrapping Reproducibility Clustering Stability Variable selection Market segmentation is critically important to the success of tourist destinations and tourism and hospitality businesses. The “most successful firms drive their businesses based on segmentation...

... Local indicators of spatial association (LISA) were computed using geographic information system (GIS) techniques. Clustering for the entire population of hotels in Madrid was explored visualizing LISA statistics. Then, a system generalized method of moments regression was applied to test a set...

... Business performance Clustering Competitive advantage Hotel industry Business agglomeration Tourist districts Company performance depends on many factors. Penrose (1958) , and Cyert and March (1963) use heterogeneity to analyze firm performance and strategy. Later, Wernerfelt (1984...