The study focuses on the application of Business Process Management and modelling within the hospitality industry. The lack of recent research shows the need for a deeper understanding of this topic and its application in the hospitality industry. This paper focuses on the use of BPM in a four-star hotel located in city-centre of Prague. An overview model was created to distinguish the core, managerial and supporting processes.

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This article deals with Business Process Modelling and Reengineering use in the hospitality industry, focusing on the improvement of direct telephone sales by application of the CRM system. After modelling the current state of the selected process using ARIS methodology, the same process was remodelled for the application of the CRM system. This application shortened the whole process (mainly the number of activities needed to prosecute) and allowed the front-office employee to be more clients oriented. The automation of labour-intensive processes can reduce the number of human-caused errors and improve the convertibility and reservation request and their overall value.

The article deals with customer behavior in the market of accommodation services. The main purpose of this article is to identify tourist behavior using their sensitivity to changes in the price, based on the data from 2011 to 2018. The results can help to understand the booking behaviors of tourists in the long term period, identify specific situations, and to improve the application of revenue management. Using simple log-log regression analysis, the daily performance data of 103 Prague hotels were analyzed, and the coefficient of price elasticity of demand was identified for various timeframes: low and high seasons, summer months, weekends and weekdays, and individual years. The results show that the coefficient of price elasticity of demand is decreasing. In the low season, the low price sensitivity is caused mainly by the high proportion of the non-yieldable leisure group segment, where fixed rates are created for tour operators more than a year in advance. In the high season, Giffen’s paradox was identified in 2016 and shows the situation of customers expecting further growth of room rates. The Giffen paradox was identified only on specific dates of the year and was confirmed by year-to-year growth of the Average Daily Rate.

Booking window is one of the critical characteristics of customer behaviour that can influence hotel sales performance. Previous studies were focused mainly on the importance of booking window reporting in revenue management with lack of evaluation. This paper focuses on the evaluation of revenue management activities by analysis of customer behaviour with a focus on the use of modern technologies (Booking Engine, Channel Manager). Results show that the selected hotel is not following basic revenue management principles, which can be a reason for the year-to-year decrease in direct online sales and overall poor performance.