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Predicting Cross-Gaming Propensity Using E-Chaid Analysis, Eunju Suh, Matt Alhaery
Predicting Cross-Gaming Propensity Using E-Chaid Analysis, Eunju Suh, Matt Alhaery
UNLV Gaming Research & Review Journal
Cross-selling different types of games could provide an opportunity for casino operators to generate additional time and money spent on gaming from existing patrons. One way to identify the patrons who are likely to cross-play is mining individual players’ gaming data using predictive analytics. Hence, this study aims to predict casino patrons’ propensity to play both slots and table games, also known as cross-gaming, by applying a data-mining algorithm to patrons’ gaming data. The Exhaustive Chi-squared Automatic Interaction Detector (E-CHAID) method was employed to predict cross-gaming propensity. The E-CHAID models based on the gaming-related behavioral data produced actionable model accuracy …
Integrating Organisational Change Management And Customer Relationship Management In A Casino, Charlie Chi Cong Mai, Chad Perry, Erwin Loh
Integrating Organisational Change Management And Customer Relationship Management In A Casino, Charlie Chi Cong Mai, Chad Perry, Erwin Loh
UNLV Gaming Research & Review Journal
This research aims to solve the problem: how can casinos manage organizational change programs, and internal and external customer relationship management (CRM) programs? To find a solution, it uses two stages of qualitative methods: convergent interviewing and case research about four departments of a casino in Australia. After a thorough data analysis of documents and interview data, 12 themes were identified and they led to the development of a model of how organizational change management and CRM can be integrated to improve initiatives in organisations such as casinos. The model has seven core elements: vision, key challenge, objective, measure, strategy, …