標題: Application of Casino Management on Cloud Platform
作者: Hsiao, Tsung-Chih
Liao, Yu-Ting
Wu, Pao-Kuan
Chen, Tzer-Long
Miao, Meng-Ta
Hwang, Jen-Hung
Zhang, Luyin
管理科學系
Department of Management Science
關鍵字: Casino Management System;Slot Machine;QR Code;Cloud Platform;Business Intelligence
公開日期: 2016
摘要: The boom of gaming industry in Southeast Asia has resulted in the increase of large-scale tourism casinos and small and medium casinos. Manually managing the revenue and the members of casinos are considered insufficient but the costs and the maintenance for large-scale systems are abundant that lots of small and medium casinos still adopt manual management. Nonetheless, the increasing number of casinos has enhanced the fierce competition among casinos; and, gaming industry, which used to make money easily, now can make profits merely by effective management. The importance of casino management systems is therefore largely enhanced. Technologically, the introduction of cloud computing could solve the problems of acquiring the same services without investing enormous costs and merely focusing on system management but having system management companies assist in the maintenance. Furthermore, applying QR codes to ID authentication could solve many problems for casinos. Traditionally, the members could accumulate the reward points for free coupons of meals, accommodation, and gifts with the membership cards. Now, the members could have QR codes as the temporary ID authentication, instead of membership cards, that casinos could save the cost for making membership cards. The analysis of casinos achieved the business intelligence through cloud computing allows small and medium casinos to present more efficient management and better competitiveness, as such casinos cannot provide comparative equipment as large-scale tourism casinos can customize services becoming stronger. However, understanding the preference of members and timely offering customized services are the best effectiveness of business intelligence analysis.
URI: http://hdl.handle.net/11536/136209
ISBN: 978-1-4673-9888-6
期刊: PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION (ICASI)
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