Guidelines to Improve the Efficiency of Organizing Hotel Business Conferences for Mice City in Amphoe Mueang Khon Kaen Province
Abstract
This study aims to study the efficiency levels in operating international conferences of hotels in municipal district of Khon Kaen province, Thailand. The guidelines to improve the efficiency of organizing hotel business conferences were proposed in the result of this study. The in-depth interviews and questionnaires were employed to collect the data from 21 hotel’s representatives. The Data Envelopment Analysis (DEA) was used to analyze the collected data from the questionnaires. In order to analyze the productivity factors, several input factors were studied, such as delivery vehicles, size of conference room, maximum capacity for participants, size of parking lot, number of elevators, number of restrooms, provisional facilities, food and beverage cost, and number of staff. On the other hand, the output factor was the income of the hotels in organizing the international conference. It was found that the average technical efficiency: CRS model is 84%, whereas the average technical efficiency: VRS model is 94%. As the results, there are 10 hotels with technical efficiency: CRS model, while there are 15 hotels with technical efficiency: VRS model. Comparing the size of the conference room with the efficiency scores, it was found that almost large-sized hotels and small-sized hotels are more efficient than the medium sized hotels. The weakness of some medium-sized hotels found in this study was the operation factor. Eventually, the guidelines to improve the efficiency of organizing hotel business conferences for large and small sized hotels of Mice City, Amphoe Mueang Khon Kaen Province are increasing the delivery vehicles. In contrast, it is necessary to reduce the operation costs, increase the number of conference rooms, improve the quality of human resources, and utilize the provision of the hotel facilities, in accordance with the size of hotel business services.
Keywords
hotel; Data Envelopment Analysis; Mice City
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by Natalie Holland (2024-02-27)