This study presents taxonomy of operations strategies and their performance in hotels. This research studies a part of soft area of hotel industry and scrutinizes the status and importance of Aranda\\\'s service operations strategies components. Based on nine components, 15 constructions have been identified and grouped into four clusters using k-means cluster analysis. Four clusters emphasize the different dimensions of service operations strategies. The effectiveness of grouping method and discriminant dimensions are shown using discriminant analysis. The results showed that there are significant differences among these clusters. By identifying the most effective variables, service operation strategies can be distinguished in the hotel industry

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