PurposeThe purpose of this study is to: 1) develop a brand-new index of value for money (VFM) leveraging Data Envelopment Analysis (DEA) methodology: the "DEA VFM"; 2) validate the "DEA VFM" index; 3) compare the "DEA VFM" with the Booking.com VFM index, thus demonstrating the superiority of the proposed index for managerial decision-making.Design/methodology/approachPIM-DEA software was used to develop an input-oriented DEA model with one input (i.e. the median price) and six outputs (i.e. the standardized scores of cleanliness, staff, location, facilities, free Wi-Fi, comfort) on 613 Italian hotels. Both input and outputs are based on Booking.com data related to hotels located in four different popular destinations: Rome, Florence, Milan and Venice.FindingsThe authors developed and validated a new index of VFM based on DEA methodology: the "DEA VFM." The DEA VFM shows a very low correlation with Booking VFM scores, and it demonstrates a superior performance when assessing hotels' VFM. Booking VFM essentially measures perceived value rather than the relationship between price and value.Originality/valueTo the best of the authors' knowledge, this is the only and first study in the hospitality management literature that develops and validates a new index of VFM based on the DEA methodology: the "DEA VFM". Moreover, we demonstrate the superiority of the DEA VFM index on the Booking.com VFM.

Boccali, F., Mariani, M., Visani, F. (2025). Developing and testing a DEA-based index for the evaluation of value for money in the hospitality industry. INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, September, 1-18 [10.1108/IJCHM-09-2024-1381].

Developing and testing a DEA-based index for the evaluation of value for money in the hospitality industry

Boccali F.;Mariani M.
;
Visani F.
2025

Abstract

PurposeThe purpose of this study is to: 1) develop a brand-new index of value for money (VFM) leveraging Data Envelopment Analysis (DEA) methodology: the "DEA VFM"; 2) validate the "DEA VFM" index; 3) compare the "DEA VFM" with the Booking.com VFM index, thus demonstrating the superiority of the proposed index for managerial decision-making.Design/methodology/approachPIM-DEA software was used to develop an input-oriented DEA model with one input (i.e. the median price) and six outputs (i.e. the standardized scores of cleanliness, staff, location, facilities, free Wi-Fi, comfort) on 613 Italian hotels. Both input and outputs are based on Booking.com data related to hotels located in four different popular destinations: Rome, Florence, Milan and Venice.FindingsThe authors developed and validated a new index of VFM based on DEA methodology: the "DEA VFM." The DEA VFM shows a very low correlation with Booking VFM scores, and it demonstrates a superior performance when assessing hotels' VFM. Booking VFM essentially measures perceived value rather than the relationship between price and value.Originality/valueTo the best of the authors' knowledge, this is the only and first study in the hospitality management literature that develops and validates a new index of VFM based on the DEA methodology: the "DEA VFM". Moreover, we demonstrate the superiority of the DEA VFM index on the Booking.com VFM.
2025
Boccali, F., Mariani, M., Visani, F. (2025). Developing and testing a DEA-based index for the evaluation of value for money in the hospitality industry. INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, September, 1-18 [10.1108/IJCHM-09-2024-1381].
Boccali, F.; Mariani, M.; Visani, F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1022892
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